Author: "Puissant, Anne" / Language: english - Searchworks@Jio Institute Digital Library Search Results

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96 results on '"Puissant, Anne"'

1. Deep-STaR: Classification of image time series based on spatio-temporal representations

Author: Chelali, Mohamed, Kurtz, Camille, Puissant, Anne, and Vincent, Nicole
Published: 2021
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2. Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

Author: Rougier, Simon, Puissant, Anne, Stumpf, André, and Lachiche, Nicolas
Published: 2016
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3. Downscaling scenarios of future land use and land cover changes using a participatory approach: an application to mountain risk assessment in the Pyrenees (France)

Author: Houet, Thomas, Grémont, Marine, Vacquié, Laure, Forget, Yann, Marriotti, Apolline, Puissant, Anne, Bernardie, Séverine, Thiery, Yannick, Vandromme, Rosalie, and Grandjean, Gilles
Published: 2017
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4. Hierarchical extraction of landslides from multiresolution remotely sensed optical images

Author: Kurtz, Camille, Stumpf, André, Malet, Jean-Philippe, Gançarski, Pierre, Puissant, Anne, and Passat, Nicolas
Published: 2014
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5. A hierarchical semantic-based distance for nominal histogram comparison

Author: Kurtz, Camille, Gançarski, Pierre, Passat, Nicolas, and Puissant, Anne
Published: 2013
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6. The Theia 'Digital Soil Mapping' Scientific Expertise Centre of France

Author: Richer-De-Forges, Anne C, Lagacherie, Philippe, Arrouays, Dominique, Bialkowski, Anne, Bourennane, Hocine, Briottet, Xavier, Fouad, Youssef, Gomez, Cécile, Jacquemoud, Stéphane, Lemercier, Blandine, Maisongrande, Philippe, Martelet, Guillaume, Martin, Manuel P, Michot, Didier, Pichelin, Pascal, Saby, Nicolas P. A., Tissoux, Hélène, Vaudour, Emmanuelle, Wadoux, Alexandre M.J.-C., Walter, Christian, Puissant, Anne, Richer-de-Forges, Anne, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Unité de Science du Sol (Orléans) (URSols), ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Sol Agro et hydrosystème Spatialisation (SAS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Indo-French Cell for Water Sciences (IFCWS), Indian Institute of Science [Bangalore] (IISc Bangalore), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre National d'Études Spatiales [Toulouse] (CNES), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Image, Ville, Environnement (LIVE), and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Abstract: International audience; pas de résumé
Published: 2022

7. Products and services of the URBAN THEIA Scientific Expertise Centre

Author: Puissant, Anne, Catry, Thibault, Cresson, Rémi, Dessay, Nadine, Demagistri, Laurent, Gadal, Sébastien, Le Bris, Arnaud, Ose, Kenji, Pillot, Benjamin, Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA), UMR 228 Espace-Dev, Espace pour le développement, Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Guyane (UG)-Université des Antilles (UA)-Université de Montpellier (UM), Institut de Recherche pour le Développement (IRD), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Aix Marseille Université (AMU), Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), North-Eastern Federal University, Laboratoire sciences et technologies de l'information géographique (LaSTIG), Ecole des Ingénieurs de la Ville de Paris (EIVP)-École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, European Space Agency, and CNES THEIA TOSCA AIMCEE (Apport de l’Imagerie satellitaire Multi-Capteurs pour répondre aux Enjeux Environnementaux et sociétaux des socio-systèmes urbains)
Subjects: [SHS.STAT]Humanities and Social Sciences/Methods and statistics, Nordic and Arctic Cities, Urban fabric mapping, Urban remote sensing, [SHS.GEO]Humanities and Social Sciences/Geography, Validation methods and products, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.ES]Environmental Sciences/Environmental and Society, Building footprint, THEIA, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Urban change modelling, France, South Cities
Abstract: International audience; The THEIA data and services centre (www.theia-land.fr) is a consortium of 10 French public institutions (CEA, CEREMA, CIRAD, CNES, IGN, INRAE, CNRS, IRD, Météo France, and ONERA) designed to foster the use of Earth Observations data for environmental studies. The “Urban” SEC brings together teams from several research laboratories in France that carry out research and develop innovative data processing methods for urban remote sensing using optical and SAR sensors. They are working on the validation of the urban products provided by the THEIA SDI and try to demonstrate user-tailored applications.
Published: 2022
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8. Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset.

Author: Wenger, Romain, Puissant, Anne, Weber, Jonathan, Idoumghar, Lhassane, and Forestier, Germain
Subjects: *LAND cover, *LAND use, *OPTICAL radar, *URBAN growth, *MAPS, *NATURE reserves
Abstract: In the context of global change, up-to-date land use land cover (LULC) maps is a major challenge to assess pressures on natural areas. These maps also allow us to assess the evolution of land cover and to quantify changes over time (such as urban sprawl), which is essential for having a precise understanding of a given territory. Few studies have combined information from Sentinel-1 and Sentinel-2 imagery, but merging radar and optical imagery has been shown to have several benefits for a range of study cases, such as semantic segmentation or classification. For this study, we used a newly produced dataset, MultiSenGE, which provides a set of multitemporal and multimodal patches over the Grand-Est region in France. To merge these data, we propose a CNN approach based on spatio-temporal and spatio-spectral feature fusion, ConvLSTM+Inception-S1S2. We used a U-Net base model and ConvLSTM extractor for spatio-temporal features and an inception module for the spatio-spectral features extractor. The results show that describing an overrepresented class is preferable to map urban fabrics (UF). Furthermore, the addition of an Inception module on a date allowing the extraction of spatio-spectral features improves the classification results. Spatio-spectro-temporal method (ConvLSTM+Inception-S1S2) achieves higher global weighted F 1 S c o r e than all other methods tested. [ABSTRACT FROM AUTHOR]
Published: 2023
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9. U-Net feature fusion for multi-class semantic segmentation of urban fabrics from Sentinel-2 imagery: an application on Grand Est Region, France.

Author: Wenger, Romain, Puissant, Anne, Weber, Jonathan, Idoumghar, Lhassane, and Forestier, Germain
Subjects: *METROPOLITAN areas, *URBAN planning, *CITIES & towns, *INFRASTRUCTURE (Economics), *URBAN growth, *COMMUNICATION infrastructure
Abstract: Urban areas are increasing since several years as a result of development of built-up areas, network infrastructure, industrial areas or other built-up areas. This urban sprawl has a considerable impact on natural areas by changing the functioning of ecosystems. Mapping and monitoring Urban Fabrics (UF) is therefore relevant for urban planning and management, risk analysis, human health or biodiversity. For this research, Sentinel-2 (level 2A) single-date images of the East of France, with a high spatial resolution (10 m), are used to assess two semantic segmentation networks (U-Net) that we combined using feature fusion between a from scratch network and a pre-trained network on ImageNet. Moreover three spectral or textural indices have been added to the both networks in order to improve the classification results. The results showed a performance gain for the fusion methods in classifying several UF. However, there is a difference in performance depending on the urbanization gradient; highly urbanized areas provide a better distinction of some UF's classes than rural areas. [ABSTRACT FROM AUTHOR]
Published: 2022
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10. Chapter 11 - Decision Fusion of Remote-Sensing Data for Land Cover Classification

Author: Le Bris, Arnaud, Chehata, Nesrine, Ouerghemmi, Walid, Wendl, Cyril, Postadjian, Tristan, Puissant, Anne, and Mallet, Clément
Published: 2019
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11. Influence of Data Representations and Deep Architectures in Image Time Series Classification.

Author: Chelali, Mohamed, Kurtz, Camille, Puissant, Anne, and Vincent, Nicole
Subjects: TIME series analysis, CONVOLUTIONAL neural networks, RANDOM walks, REMOTE-sensing images, REMOTE sensing, FUNCTIONAL magnetic resonance imaging
Abstract: Image time series, such as Satellite Image Time Series (SITS) or MRI functional sequences in the medical domain, carry both spatial and temporal information. In many pattern recognition applications such as image classification, taking into account such rich information may be crucial and discriminative during the decision making stage. However, the extraction of spatio-temporal features from image time series is difficult to handle due to the complex representation of the data cube. In this paper, we present a strategy based on Random Walk to build a novel segment-based representation of the data, passing from a 2D + t dimension to a 2D one, more easily manipulable and without losing too much spatial information. Such new representation is then used to feed a classical Convolutional Neural Network (CNN) in order to learn spatio-temporal features with only 2D convolutions and to classify image time series data for a particular classification problem. The influence of the way the 2D + t data are represented, as well as the impact of the network architectures on the results, are carefully studied. The interest of this approach is highlighted on a remote sensing application for the classification of complex agricultural crops. [ABSTRACT FROM AUTHOR]
Published: 2021
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12. Is there any room for a long term socio-ecological research on green roofs ?

Author: Charpentier, Isabelle, Blond, Nadège, Combroux, Isabelle, Glatron, Sandrine, Grandchamp, Laurence, Hector, Adine, Puissant, Anne, Wanko, Adrien, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), LTSER-FR Zone Atelier Enviironnementale Urbaine (LTSER-FR ZAEU), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Dynamiques européennes (DynamE), Eurométropole de Strasbourg, École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), and charpentier, isabelle
Subjects: [SDE] Environmental Sciences, [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

13. The 'urban' component of the French Land Data and Services Centre (Theia)

Author: Selle Arnaud, Baghdadi Nicolas, Le Bris Arnaud, Puissant Anne, Thierion Vincent, Roujean Jean-Louis, Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN), and IEEE
Subjects: Service (business), services, 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, Urban studies, 02 engineering and technology, Animation, Space (commercial competition), satellite imagery, 01 natural sciences, Structuring, Variety (cybernetics), World Wide Web, Spatial Data Infrastructure (DSI), products, [SDE]Environmental Sciences, Business, Cluster analysis, Dissemination, urban, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract: International audience; The THEIA data and services center has been created with the objective of increasing the use of space data by both the science community and the public actors. THEIA is structuring the French science community through 1) a mutualized Service and Data Infrastructure (SDI) distributed between several centers, allowing access to a variety of products; 2) the setup of Regional Animation Networks (RAN) to federate users (scientists and public / private actors) and 3) Scientific Expertise Centres (SEC) clustering virtual research groups on a thematic domain. A strong relationship between SECs and RANs is being developed to both disseminate the outputs to the user communities and aggregate the user needs. The research works carried out for urban studies in three SECs are presented. The works are organized around the design and development of value-added products and services.
Published: 2019

14. Innovative Methods and Products of the ' Urbanization and Artificialization' Scientific Expertise Centre

Author: Puissant, Anne, Le Bris, Arnaud, Thierion, Vincent, Corpetti, Thomas, Catry, Thibault, Gadal, Sébastien, Briottet, Xavier, Cression, Rémy, Baghdadi, Nicolas, Sellé, Arnaud, Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), University of Strasbourg, Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES), Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement (IMAGES-Espace DEV), UMR 228 Espace-Dev, Espace pour le développement, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Aix Marseille Université (AMU), ONERA - The French Aerospace Lab [Toulouse], ONERA, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), CNES THEIA CES Artificialisation-Urbanisation, European Space Agency - Italian Space Agency - European Commission, Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Université des Antilles (UA)-Université de Guyane (UG)-Université de Montpellier (UM)-Université de La Réunion (UR)-Avignon Université (AU)-Université de Perpignan Via Domitia (UPVD)-Institut de Recherche pour le Développement (IRD)-Université des Antilles (UA)-Université de Guyane (UG)-Université de Montpellier (UM)-Université de La Réunion (UR)-Avignon Université (AU)-Université de Perpignan Via Domitia (UPVD)-Institut de Recherche pour le Développement (IRD), and Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Europe, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, Land data service, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Sentinel 2, Urban land cover, Sentinel 1, Urbanisation, [SHS.GEO]Humanities and Social Sciences/Geography, Remote sensing, [SDE.ES]Environmental Sciences/Environmental and Society, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, THEIA
Abstract: International audience; The THEIA Land Data and Services Centre (www.theia-land.fr) is a consortium of 12 French public institutions involved in Earth observation and environmental sciences (CEA, CEREMA, CIRAD, CNES, IGN, INRA, CNRS, IRD, Irstea, Météo France, AgroParisTech, and ONERA). THEIA has been initiated in 2012 with the objective of increasing the use of space data by the scientific community and the public actors. THEIA structured the French scientific community 1) through a mutualized Service and Data Infrastructure (SDI) distributed between several centers, allowing access to a variety of products; 2) through the setup of Regional Animation Networks (RAN) to federate and animate users (scientists and public / private actors) and 3) through Scientific Expertise Centres (SEC) clustering virtual research groups on a thematic domain. One of this SEC is the "Urbanization and Artificialization” Centre clustering experts in multi-sensor urban remote sensing. THEIA in collaboration with ODATIS (Data and Service for the Ocean), ForM@Ter (Data and Service for the Solid Earth), and AERIS (Data and Service for the Atmosphere) form the "Earth System" Research Infrastructure. The objective of this poster is to present recent (>2016) innovations of the URBAN SEC in terms of (1) development of algorithms useful for urban remote sensing using optical and SAR sensors, (2) validation of the urban products provided by the THEIA Land Service and Data Infrastructure, and (3) demonstration of user-tailored applications for urban studies. The Urban Expert Centre brings together researchers and engineers from several institutes: LIVE - Strasbourg, IGN-LaSTIG - Univ. Paris Est, CESBIO – Toulouse, LETG - Rennes, Irstea – Montpellier, TETIS - Montpellier, INP Bordeaux, IRD, ESPACE-DEV - Montpellier, ESPACE - Nice, ONERA. Research results and methods linked to (1) the detection and mapping of the urban footprint at an annual frequency; (2) the identification of urban fabrics, (3) the mapping of green networks within the cities. In parallel, the group proposes to summarize and identify relevant indicators (parameters) dedicated to urban planning and management.
Published: 2019

15. Decision fusion of remote-sensing data for land cover classification (chap. 11)

Author: Le Bris, Arnaud, Chehata, Nesrine, Ouerghemmi, Walid, Wendl, Cyril, Postadjian, Tristan, Puissant, Anne, Mallet, Clément, Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN), ENSEGID, Institut Polytechnique de Bordeaux, Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

16. A Novel Multi-Risk Assessment Web-Tool for Evaluating Future Impacts of Global Change in Mountainous Areas

Author: Grandjean, Gilles, Thomas, L., Bernardie, S., Puissant, Anne, Malet, J.P., Houet, T., Bourrier, Franck, Fort, Myriam, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), GEO HYD OLIVET FRA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG (UMR_8586 / UMR_D_215 / UM_115)), and Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Atmospheric Science, Decision support system, Geographic information system, 010504 meteorology & atmospheric sciences, decision support system, Computer science, 0211 other engineering and technologies, Vulnerability, 02 engineering and technology, 01 natural sciences, Representativeness heuristic, landslide hazard, 11. Sustainability, web-platform, lcsh:Science, 0105 earth and related environmental sciences, risk, 021110 strategic, defence & security studies, Land use, business.industry, Impact assessment, Environmental resource management, 15. Life on land, Hazard, 13. Climate action, [SDE]Environmental Sciences, lcsh:Q, Risk assessment, business
Abstract: International audience; In our study, we present a proactive decision support tool able to compute the impacts of different possible scenarios for territories impacted by mountain risks. The objective of this work was to develop and test various hazard and risk assessment methods, and to implement them into a web-application platform able to show possible risks induced by global change on ecosystems and society. Four case studies were selected for their representativeness: One located in a Pyrenean valley, others in the French Alps. Methodology addressed several points. The first one was on the identification of the impacts of global environmental changes (climatic situations, land use, and socio-economic systems) on identified hazards. The second one was on the analysis of these impacts in terms of vulnerability (e.g., the places and the physical modifications of impacted stakes, as well as levels of perturbation). The third one was on the integration of developed methodologies in a single coherent framework in order to investigate and map indicators of vulnerability. The last one was on the development of a demonstration platform with GIS (Geographic Information System) capabilities and usable on the web. The architecture and the main features of the web-platform are detailed within several cases for which hazard and impact assessments are evaluated for not only past and present, but also future periods. This web-tool, mostly dedicated to stakeholders, has proven its usefulness to test various socio-economical pathways, because multiple scenarios, considered as probable in inhabited valleys, can be benchmarked, analyzed, and compared.
Published: 2018
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17. Une plate-forme web pour l'évaluation de la résilience dans les vallées montagneuses touchées par des instabilités de pente

Author: Grandjean, Gilles, Thomas, Loïc, Bernardie, Séverine, Malet, Jean-Philippe, Puissant, Anne, Houet, Thomas, Bourrier, Franck, Fort, Monique, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Société GéoHyd, Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA), Géographie de l'environnement (GEODE), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG (UMR_8586 / UMR_D_215 / UM_115)), Université Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Université Panthéon-Sorbonne (UP1)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J), and Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDE.MCG]Environmental Sciences/Global Changes, [SDE.ES]Environmental Sciences/Environmental and Society
Abstract: International audience; The ANR-SAMCO project aimed to develop a proactive resilience framework enhancing the overall resilience of societies on the impacts of mountain risks. The project elaborated methodological tools to characterize and measure ecosystem and societal resilience from an operative perspective on three mountain representative case studies. To achieve this objective, the methodology was split in several points: (1) the definition of the potential impacts of global environmental changes (climate system, ecosystem e.g. land use, socioeconomic system) on landslide hazards, (2) the analysis of these consequences in terms of vulnerability (e.g. changes in the location and characteristics of the impacted areas and level of their perturbation) and (3) the implementation of a methodology for quantitatively investigating and mapping indicators of mountain slope vulnerability exposed to several hazard types, and the development of a GIS-based demonstration platform available on the web. The strength and originality of the SAMCO project lies in the combination of different techniques, methodologies and models (multi-hazard assessment, risk evolution in time, vulnerability functional analysis, and governance strategies) implemented in a user-oriented web-platform. We present the results of this developments, architecture and functions of the web-tools, the case studies database showing the multi-hazard maps and the stakes at risks. Different kinds of risk were assessed over several area of interest in Alpine or Pyrenean valleys, so that different analyses are presented for current and future periods for which climate change and land-use (economical, geographical and social aspects) scenarios are taken into account. This tool, dedicated to stakeholders, should be used to evaluate resilience of mountainous regions since multiple scenarios can be tested and compared.; Le projet ANR-SAMCO visait à développer un cadre de résilience proactif améliorant la résilience globale des sociétés sur les impacts des risques montagne. Le projet a élaboré des outils méthodologiques pour caractériser et mesurer la résilience des écosystèmes et de la société d'un point de vue opérationnel sur trois études de cas représentatives des montagnes. Pour atteindre cet objectif, la méthodologie a été divisée en plusieurs points: (1) la définition des impacts potentiels des changements environnementaux globaux (système climatique, écosystème, utilisation des sols, système socio-économique) sur les risques de glissements de terrain, (2) (3) la mise en œuvre d'une méthodologie pour l'étude quantitative et la cartographie des indicateurs de la vulnérabilité des pentes de montagne exposées à plusieurs types de dangers, et le développement d'une plateforme de démonstration basée sur le SIG disponible sur le web. La force et l'originalité du projet SAMCO résident dans la combinaison de différentes techniques, méthodologies et modèles (évaluation multi-risques, évolution du risque dans le temps, analyse fonctionnelle de vulnérabilité et stratégies de gouvernance) mises en œuvre dans une plateforme web orientée utilisateur. Nous présentons les résultats de ces développements, l'architecture et les fonctions des outils web, la base de données des études de cas montrant les cartes multi-aléas et les enjeux à risques. Différents types de risques ont été évalués sur plusieurs zones d'intérêt des vallées alpines ou pyrénéennes, de sorte que différentes analyses sont présentées pour les périodes actuelles et futures pour lesquelles les scénarios de changement climatique et d'utilisation des sols (économiques, géographiques et sociaux) sont pris en compte. Cet outil, dédié aux parties prenantes, devrait être utilisé pour évaluer la résilience des régions montagneuses puisque plusieurs scénarios peuvent être testés et comparés.
Published: 2018

18. Upgrading of an index-oriented methodology for consequence analysis of natural hazards: application to the Upper Guil catchment (southern French Alps)

Author: Carlier, Benoit, Puissant, Anne, Dujarric, Constance, Arnaud-Fassetta, Gilles, Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG (UMR_8586 / UMR_D_215 / UM_115)), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Université Panthéon-Sorbonne (UP1)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-AgroParisTech-Université Paris-Sorbonne (UP4)-École pratique des hautes études (EPHE)-Institut de Recherche pour le Développement (IRD)-Université Panthéon-Sorbonne (UP1)
Subjects: lcsh:GE1-350, lcsh:Geology, [SHS.SOCIO]Humanities and Social Sciences/Sociology, lcsh:G, lcsh:QE1-996.5, [SDE]Environmental Sciences, lcsh:Geography. Anthropology. Recreation, lcsh:Environmental technology. Sanitary engineering, [SDE.ES]Environmental Sciences/Environmental and Society, lcsh:TD1-1066, lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract: Vulnerability is a complex concept involving a variety of disciplines from both the physical and socio-economic sciences. Currently, two opposite trends exist: the physical approach in which vulnerability is analysed as a sum of potential impacts on elements at risk and the social approach in which vulnerability is mostly viewed as a combination of socio-economic variables determining people's ability to anticipate, cope with and recover from a catastrophic event. Finding a way to combine these two approaches is a key issue for a global vulnerability assessment. In this paper we propose to combine elements from these two approaches through the analysis of the potential consequences of a high-magnitude flood event (recurrence interval (RI) > 100 years) on human and material stakeholders. To perform our analysis, we choose to upgrade an existing index, the Potential Damage Index (PDI; Puissant et al., 2013), by including social criteria. The PDI was originally developed to assess the physical consequences of hazards on the elements at risk (people, building and lands). It is based on the calculation of three sub-indices representing different types of direct and indirect consequences: physical injury consequences (PIC), structural and functional consequences (SFC), indirect functional consequences (IC). Here, we propose to add a fourth sub-index representing the social consequences. This new sub-index, called social consequences (SC) is obtained by combining criteria derived from INSEE French census data and a risk-perception survey conducted in the field. By combining the four indices (PIC, SFC, IC and SC), we managed to create a new index called the Potential Consequences Index (PCI). The new PCI was tested on the Upper Guil catchment to assess the consequences of a high-magnitude flood event (RI > 100 years). Results of the PDI were compared with the PCI and show significant differences. The upgrade to the PDI method provided us with many inputs. The introduction of elements from social vulnerability added an extra dimension to the total consequence map. It allowed us to qualify the potential physical consequences (physical injury, structural and functional consequences) on elements at risk by considering the global resilience of local communities.
Published: 2018

19. Geodetic monitoring of the Adroit landslide, Barcelonnette, French Southern Alps

Author: Ferhat, Gilbert, Malet, Jean-Philippe, Puissant, Anne, Caubet, Delphine, Hubert, Emilie, Ferhat, Gilbert, Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Ecole et Observatoire des Sciences de la Terre (EOST), and Université de Strasbourg (UNISTRA)
Subjects: [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017

20. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping.

Author: Bioresita, Filsa, Puissant, Anne, Stumpf, André, and Malet, Jean-Philippe
Subjects: *WATER, *SYNTHETIC aperture radar, *BODIES of water, *WATER supply, *IMAGE fusion, *TIME series analysis
Abstract: Monitoring the spatial and temporal extents of permanent and temporary bodies of surface water is important for various applications such as water resource management, climate modelling, and biodiversity conservation. Satellite remote sensing is an effective source of information to detect surface water over large areas and document their evolution in time. Recently, the European Space Agency (ESA) launched freely available SAR (Synthetic Aperture Radar) and optical sensors (Sentinel-1 & 2) with high revisiting time and spatial resolution. The objective of this paper is to explore the contribution of multi-temporal and multi-source (passive and active) Sentinel observations for improving the detection and mapping of surface waters by applying decision-level image fusion techniques. The approach is tested over Central Ireland using a time series of 16 Sentinel-1 images and a few Sentinel-2 images for the period 2015–2016. Compared to a mono-date approach, the combination of Sentinel-1 & 2 observations provides better accuracy for mapping permanent surface water. Decision level fusion technique allows mapping temporary surface water (such as flooding) with a high accuracy. It also gives the possibility to monitor their dynamics by providing the probability of occurrence of flooded areas at the pixel level. [ABSTRACT FROM AUTHOR]
Published: 2019
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21. 5 - Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation

Author: Stumpf, André, Malet, Jean-Philippe, Puissant, Anne, and Travelletti, Julien
Published: 2016
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22. Physical, social and institutional vulnerability assessment in small Alpine communities. Results of the SAMCO-ANR project in the Upper Gul valley (French Alps)

Author: Carlier, Benoit, Dujarric, Constance, Frison-Bruno, Nikita, Puissant, Anne, Lissak, Candide, MADELIN, Malika, Fort, Monique, Arnaud-Fassetta, Gilles, UMR PRODIG, PUBLICATIONS, Sociétés et Changements Environnementaux - Adaptation de la société aux risques en montagne dans un contexte de changement global - - SAMCO2012 - ANR-12-SENV-0004 - Sociétés et Changements Environnementaux - VALID, Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), EGU, and ANR-12-SENV-0004,SAMCO,Adaptation de la société aux risques en montagne dans un contexte de changement global(2012)
Subjects: [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, risque hydro-géomorphologique, montagne, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, bassin-versant, Guil, [SDU] Sciences of the Universe [physics], risque, [SDU]Sciences of the Universe [physics], [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, France, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, ComputingMilieux_MISCELLANEOUS, Alpes, cours d'eau
Abstract: International audience
Published: 2016

23. Fractal simulation of urbanization for the analysis of vulnerability to natural hazards

Author: Puissant, Anne, Tannier, Cécile, Malet, Jean-Philippe, Université de Bourgogne Franche-Comté, Théoriser et modéliser pour aménager (UMR 6049), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Théoriser et modéliser pour aménager (UMR 6049) (ThéMA), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-Université de Franche-Comté (UFC), Institut de physique du globe de Strasbourg (IPGS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), and European Geosciences Union (EGU). AUT.
Subjects: [SHS.GEO] Humanities and Social Sciences/Geography, [SHS.GEO]Humanities and Social Sciences/Geography
Abstract: International audience; Since 50 years, mountain areas are affected by important land cover/use changes characterized by the decrease of pastoral activities, reforestation and urbanization with the development of tourism activities and infrastructures. These natural and anthropogenic transformations have an impact on the socio-economic activities but also on the exposure of the communities to natural hazards.In the context of the ANR Project SAMCO which aims at enhancing the overall resilience of societies on theimpacts of mountain risks, the objective of this research was to help to determine where to locate new residential developments for different scenarios of land cover/use (based on the Prelude European Project) for the years 2030 and 2050. The Planning Support System (PSS), called MUP-City, based on a fractal multi-scale modeling approach is used because it allows taking into account local accessibility to some urban and rural amenities (Tannier et al., 2012). For this research, an experiment is performed on a mountain area in the French Alps (Barcelonnette Basin) to generate three scenarios of urban development with MUP-City at the scale of 1:10:000. The results are assessed by comparing the localization of residential developments with urban areas predicted by land cover and land use scenarios generated by cellular automata modelling (LCM and Dyna-clue) (Puissant et al., 2015). Based on these scenarios, the evolution of vulnerability is estimated.
Published: 2016

24. Physical, social and institutional vulnerability assessment in small Alpine communities. Results of the SAMCO-ANR project in the Upper Guil Valley (French Southern Alps)

Author: Carlier, Benoit, Dujarric, Constance, Frison-Bruno, Nikita, Puissant, Anne, Lissak, Candide, Madelin, Malika, Viel, Vincent, Bétard, François, Fort, Monique, Arnaud-Fassetta, Gilles, UMR PRODIG, PUBLICATIONS, Sociétés et Changements Environnementaux - Adaptation de la société aux risques en montagne dans un contexte de changement global - - SAMCO2012 - ANR-12-SENV-0004 - Sociétés et Changements Environnementaux - VALID, Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), ANR-12-SENV-0004,SAMCO,Adaptation de la société aux risques en montagne dans un contexte de changement global(2012), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), Université de Strasbourg (UNISTRA), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN)
Subjects: Vulnerability Analysis, Mountain Areas, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, Hydrogeomorphic processes, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Hazard assessment, Alps France, Catchment, Guil
Abstract: International audience; In the frame of the SAMCO project designed for mountain risk assessment in a context of global change, wedeveloped a systemic approach to assess three speciﬁc components of vulnerability – physical, social and institu-tional – for the six municipalities of the Upper Guil catchment (Ristolas, Abriès, Aiguilles, Château-Ville-Vieille,Molines-en-Queyras and St-Véran). Physical vulnerability, which represents total potential consequences of hazards on stakes, was estimated and mapped using a GIS model based on an empirical semi-quantitative indicator, the Potential Damage Index (PDI).This index allowed us to quantify and describe both direct (physical injury, structural and functional damage onbuildings, network and land cover) and indirect consequences (socio-economic impacts) induced by hazards, bycombining weighted parameters (age, state, material, function, etc.) reﬂecting the exposure of elements at risk. Atleast 1890 buildings, 367 km2 of land cover and 902 km of linear infrastructure were considered. To assess socialand institutional vulnerability our approach was based on questionnaires (5% of the total population investigated),interviews and mental maps (80 collected) dealing with risk perception, risk memory, mitigation measures anddegree of conﬁdence in the actors of risk management. he most endangered areas are both located on alluvial fan andﬂood plain or in new housing estate (Garcine, Château Renard). These results contribute to a better assessment ofthe global vulnerability of the the upper Queyras Region to hydrogeomorphic hazards. They could be used to helplocal authorities to improve and update their Emergency Action plan or their prevention plan.
Published: 2016

25. Society adaptation for coping with mountain risks in the climate change context

Author: Bernardie, Séverine, Grandjean, Gilles, Desramaut, Nicolas, Grémont, Marine, Malet, Jean-Philippe, Puissant, Anne, Houet, Thomas, Antoine, Jean-Marc, Bourrier, Franck, Fort, Monique, Pierre, Daniel, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Université de Strasbourg (UNISTRA), Irstea, Géographie de l'environnement (GEODE), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), ANR, ANR SAMCO, ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), Bernardie, Séverine, and Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux - - DRIIHM / IRDHEI2011 - ANR-11-LABX-0010 - LABX - VALID
Subjects: [SDE.MCG] Environmental Sciences/Global Changes, [SDE.MCG]Environmental Sciences/Global Changes
Abstract: International audience; Mountains represent an important part of the global earth system. Because of their vertical extent, climate varies drastically with elevation and thus differs from those in adjacent lowland areas. Natural processes controlled by hydro-meteorological triggers (e.g. floods, landslides, rockfalls) will add further environmental pressures on both social and natural systems, stressing the need to promptly conduct proactive adaptation plans. The relevance of mountain hazard and risk zonation for environmental policy and decision making is set forth in the European Thematic Strategy for Soil Protection and the associated proposal of a Framework Directive, in which hydro-meteorological hazards are considered as one of the soil threats for which it is necessary to identify risk areas where risk reduction measures have to be implemented. However, to implement risk mitigation strategies in an integrated way(e.g. including physical but also economic and social adaptation), additional research is needed on how climate controls mountain hazards occurrence. The influence of climate and climate change on slope stability and floods over various spatial and temporal scales has to be better understood and quantified; studies are also needed on how the main economic, social and political stakeholders interact for the definition of adaptation scenarios at the region scale.The SAMCO (Society Adaptation for coping with Mountain risks in a global change Context) project aims to develop a proactive resilience framework enhancing the overall resilience of societies on the impacts of mountain risks. The project aims to elaborate methodological tools to characterize and measure ecosystem and societal resilience from an operative perspective on three mountain representative case studies.To achieve this objective, the methodology is split in several points with (1) the definition of the potential impacts of global environmental changes (climate system, ecosystem e.g. land use, socio-economic system) on landslide hazards, (2) the analysis of these consequences in terms of vulnerability (e.g. changes in the location and characteristics of the impacted areas and level of their perturbation) and (3) the implementation of a methodology for quantitatively investigating and mapping indicators of mountain slope vulnerability exposed to several hazard types, and the development of a GIS-based demonstration platform. The strength and originality of the SAMCO project is to combine different techniques, methodologies and models (multi-hazard assessment, risk evolution in time, vulnerability functional analysis, and governance strategies) and to gather various interdisciplinary expertises in earth sciences, environmental sciences, and social sciences.The climate change inputs of the project correspond to at least 2 scenarios of emission of greenhouse gases. The used simulations available on the portal DRIAS (http://www.drias-climat.fr) were performed with the GHG emissions scenarios (RCP: Representative concentration pathways, according to the standards defined by the GIEC) RCP 2.8, RCP 4.5 and RCP 8.5 for the ALADIN-Climate model of Météo-France, and RCP 4.5 and RCP 8.5 for the WRF model used by the IPSL. The impact of climate change is then firstly addressed through the use of these climate scenarios into hazards computations. In that way, future changes in temperature and precipitation volume and patterns are analyzed, permitting to address the direct and indirect impacts of climatic change on mountain societies and their vulnerability to change. Secondly, the climate change is also considered in global scenarios, with taking into account political actions at local and global scale that might influence the climate change as well as the land use planning in the areas of interest. It is then possible to identify the most important factors of community resilience (e.g. coping capacity) and their dependence upon controlling factors in order to propose risk management strategies adapted to possible impacts of global changes.
Published: 2015

26. Physical and institutional vulnerability assessment method applied in Alpine communities. Preliminary Results of the SAMCO-ANR Project in the Guil Valley (French Southern Alps)

Author: Carlier, Benoit, Dujarric, Constance, Puissant, Anne, Lissak, C., Viel, Vincent, Betard, Francois, Madelin, Malika, Fort, Monique, Arnaud-Fassetta, Gilles, UMR PRODIG, PUBLICATIONS, Université de Strasbourg (UNISTRA), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDE.MCG] Environmental Sciences/Global Changes, risque, évaluation, [SDE.MCG]Environmental Sciences/Global Changes, Bassin-versant, [SDE.ES] Environmental Sciences/Environmental and Society, [SDE.ES]Environmental Sciences/Environmental and Society, Guil, cours d'eau
Abstract: International audience; In the frame of the SAMCO project designed for mountain risk assessment, our goal is to estimate specific form of vulnerability for communities living in the Upper Guil catchment in order to provide useful documentation for a better management of the valley bottom and the implementation of adequate mitigation measures. Here we present preliminary results on three municipalities of the upper Guil catchment: Aiguilles, Abriès, and Ristolas. We propose an empirical semi-quantitative indicator of potential hazards consequences on element at risk (based on GIS) with an application to different (local and regional scale) scales. This indicator, called Potential Damage Index, enable us to describe, quantify, and visualize direct (physical injury, structural and functional damage on buildings, lifelines and land cover) and indirect (socio-economic impacts) consequences. The method allows estimating the possible damage caused by torrential and gravitational hazards by combining weighted indicators (age, state, land use, number of occupied floors, etc.) reflecting the exposure of elements at risk (land cover, buildings, and lifelines) to obtain different maps of total consequences. Besides, this method allows introducing temporality by modifying the weight and the combination of variables. For example, we can operate the distinction between day and night or between the off-season and the touristic season. Another benefit of this method is to permit the visualization of the vulnerability evolution producing diachronic maps. All these maps, combined with adequate hazards map, will contribute to a better assessment of vulnerability in the Queyras and must help the development of better land use and evacuation plans, and thus are important tools for local authorities. This study will be completed by an analysis of social and institutional vulnerability realized on the basis of interview with local councillors and risk perception survey led with the local populations and the tourists.
Published: 2015

27. Automated detection of landslides with a hierarchical multi-resolution image analysis approach

Author: Kurtz, Camille, Stumpf, André, Malet, Jean-Philippe, Puissant, Anne, Gançarski, Pierre, Passat, Nicolas, Laboratoire d'Informatique Paris Descartes (LIPADE - EA 2517), Université Paris Descartes - Paris 5 (UPD5), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), ANR-10-COSI-0012,FOSTER(2010), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), and Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology
Abstract: International audience; The mapping of landslides from Very High Resolution (VHR) satellite optical images present several challenges related to the heterogeneity of landslide sizes, shapes and ground surface properties. However, a common geomorphological characteristic of landslides is to be organized with a series of embedded and scaled features. These properties motivated the use of a multiresolution image analysis approach based on a hybrid segmentation/classification region-based method. The method, which uses satellite optical images of the same area at various spatial resolutions (Medium to Very High Resolution), relies on a top-down hierarchical framework. In the specific context of landslide analysis, two main novelties are introduced to enrich this framework. The first novelty consists of using non-spectral information, obtained from Digital Surface Model (DSM), as a priori knowledge for the guidance of the segmentation/classification process. The second novelty consists of using a new domain adaptation strategy, that allows to reduce the expert’s interaction when handling large image datasets. Experiments performed on satellite images acquired over terrains affected by landslides in ther French Alps demonstrate the efficiency of the proposed method with different hierarchical levels of detail addressing various operational needs.
Published: 2015

28. List of Contributors

Author: Ackermann, Hanno, Cao, Yanlong, Cao, Yanpeng, Chehata, Nesrine, Cremers, Daniel, Garcia, Nuno C., Gibert, Jaume, Gomez, Lluis, Gomez, Raul, Gouet-Brunet, Valerie, Guan, Dayan, Huang, Hai, Iwaszczuk, Dorota, Kanezaki, Asako, Karatzas, Dimosthenis, Kniaz, Vladimir V., Knyaz, Vladimir A., Koppanyi, Zoltan, Kuga, Ryohei, Kuhn, Andreas, Le Bris, Arnaud, Mallet, Clément, Matsushita, Yasuyuki, Mayer, Helmut, Michelini, Mario, Morerio, Pietro, Murino, Vittorio, Ojail, Maroun, Ouerghemmi, Walid, Piriou, Erwan, Poreba, Martyna, Postadjian, Tristan, Puissant, Anne, Reinders, Christoph, Rosenhahn, Bodo, Salhi, Imane, Saul, Can Jozef, Schmitz, Matthias, Sugano, Yusuke, Toth, Charles K., Usenko, Vladyslav, von Stumberg, Lukas, Wendl, Cyril, Yang, Jiangxin, Yang, Michael Ying, Yilmaz, Alper, and Zha, Bing
Published: 2019
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29. Detection of landslides from aerial and satellite images with a semi-automatic method. Application to the Barcelonnette basin (Alpes-de-Hautes-Provence, France)

Author: Moine, Monique, Puissant, Anne, Malet, Jean-Philippe, Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), and Puissant, Anne
Subjects: landslides, [SHS.GEO] Humanities and Social Sciences/Geography, aerial and satellite images, object based image analysis, [SHS.GEO]Humanities and Social Sciences/Geography
Abstract: Until now, visual photo-interpretation techniques combined to ground survey remains the most used method to locate and characterize landslides. New perspectives in using remote sensing for landslides location are now offered by the availability of new very high spatial resolution images and by the development of object-oriented image analysis. In this context, the aim of this paper is to propose a semi-automatic method to locate landslides based on very high spatial resolution (aerial and satellite) images and by using expert knowledge on landslides. This approach is based on (1) a calibration step which consists to translate qualitative indicators derived from expert knowledge (by a photo-interpretation technique) in quantitative indicators and (2) a validation step which allows testing the relevance of these indicators to detect landslides by using an object-oriented method and by only using (aerial or satellite) images with different spatial, spectral and temporal resolutions. Results are (1) a formal and generic grid characterizing landslides and (2) the identification of relevant criteria to extract landslides.
Published: 2009

30. Society Adaptation for coping with Mountain risks in a global change context

Author: Bernardie, Séverine, Grandjean, Gilles, Puissant, Anne, Malet, Jean-Philippe, Houet, Thomas, Berger, Frédéric, Fort, Monique, Pierre, Daniel, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Géographie de l'environnement (GEODE), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Ecosystèmes montagnards (UR EMGR), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Sorbonne (UP4)-École pratique des hautes études (EPHE)-Institut de Recherche pour le Développement (IRD)-Université Panthéon-Sorbonne (UP1), Geo-Hyd, Société GéoHyd, Société GéoHyd-Société GéoHyd, ANR SAMCO, Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), Bernardie, Séverine, and Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux - - DRIIHM / IRDHEI2011 - ANR-11-LABX-0010 - LABX - VALID
Subjects: [SDE.MCG] Environmental Sciences/Global Changes, daptation, climate change, systemic vulnerability, [SDE.MCG]Environmental Sciences/Global Changes, environmental change and others global changes, adaptation and mitigation, vulnerability and resilience, mountain risks, global change
Abstract: The SAMCO project aims to develop a proactive resilience framework enhancing the overall resilience of societies on the impacts of mountain risks. The project aims to elaborate methodological tools to characterize and measure ecosystem and societal resilience from an operative perspective on three mountain representative case studies. To achieve this objective, the methodology is split in several points with (1) the definition of the potential impacts of global environmental changes (climate system, ecosystem e.g. land use, socio-economic system) on landslide hazards, (2) the analysis of these consequences in terms of vulnerability (e.g. changes in the location and characteristics of the impacted areas and level of their perturbation) and (3) the implementation of a methodology for quantitatively investigating and mapping indicators of mountain slope vulnerability exposed to several hazard types, and the development of a GIS-based demonstration platform. The strength and originality of the SAMCO project will be to combine different techniques, methodologies and models (multi-hazard assessment, risk evolution in time, vulnerability functional analysis, and governance strategies) and to gather various interdisciplinary expertises in earth sciences, environmental sciences, and social sciences. The multidisciplinary background of the members could potentially lead to the development of new concepts and emerging strategies for mountain hazard/risk adaptation. Research areas, characterized by a variety of environmental, economical and social settings, are severely affected by landslides, and have experienced significant land use modifications (reforestation, abandonment of traditional agricultural practices) and human interferences (urban expansion, ski resorts construction) over the last century.
Published: 2013

31. Integration of landslide hazard maps into probabilistic risk assessment in context of global changes: an alpine test site

Author: Vandromme, Rosalie, Desramaut, Nicolas, Baills, Audrey, Fontaine, Mélanie, Hohmann, Audrey, Grandjean, Gilles, Sedan, Olivier, Puissant, Anne, Malet, Jean-Philippe, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Géographie des Systèmes de Communication (GEOSYSCOM-IDEES), Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés (IDEES), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), FP7 SAFELAND, European Project: 226479,EC:FP7:ENV,FP7-ENV-2008-1,SAFELAND(2009), DRP, and Identités et Différenciation de l'Environnement des Espaces et des Sociétés (IDEES)
Subjects: hazard, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Landslides, global change, risk
Abstract: The aim of this work is to develop a methodology to integrate global changes scenarios into quantitative risk assessment. This paper describes a methodology to take into account effects of changing climate on landslides activity and impacts of social changes on exposure to provide a complete evaluation of risk for given scenarios. This approach is applied for demonstration purpose on a southern alpine test site. Mechanical approaches represent a solution to quantify landslide susceptibility and to model hazard on unprecedented conditions, as it is likely to occur. However, as the quantity and the quality of data are generally very heterogeneous at a regional scale, it is necessary to take into account their uncertainty in the analysis. In this perspective, a new hazard modeling method has been developed and integrated in a GIS-based software called ALICE®. To go further, climate change scenarios have been computed for the alpine test site (Barcelonnette area, France) using the REMO-COSMO-LM. From the precipitation time series, a daily index of the soil water content has been computed thanks to a reservoir-based model (GARDENIA®). Hence, the program classifies hazard zones depending on the several spatial data (lithological, DEM, etc...) and different hydrological contexts varying in time. The probabilistically initiated landslides are then propagated thank to a semi-empirical model (BORA) to provide real hazard maps. Different scenarios of land-use have been developed using an automate cellular model to cover the probable range of development of potential elements at risks in the future. These exposure maps are then combined with the aforementioned hazard maps to obtain risk maps for the different periods and the different land-use development scenarios. Potential evolutions of landslide risks are then evaluated, with a general increase in the 7 communes. This methodology also allows the analysis of the contributions of both considered global changes (climate and land-use) to the evolution of risk. This communication, realized within the framework of Safeland project, is supported by the European Commission under the 7th Framework Programme for Research and Technological Development, Area "Environment", Activity 1.3.3.1 "Prediction of triggering and risk assessment for landslides" (grant agreement n°226479).
Published: 2013

32. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery.

Author: Bioresita, Filsa, Puissant, Anne, Stumpf, André, and Malet, Jean-Philippe
Subjects: *REMOTE sensing by radar, *IMAGING systems, *WATER, *SYNTHETIC aperture radar, *PIXELS, *COHERENT radar, *IMAGE processing
Abstract: Reliable information about the spatial distribution of surface waters is critically important in various scientific disciplines. Synthetic Aperture Radar (SAR) is an effective way to detect floods and monitor water bodies over large areas. Sentinel-1 is a new available SAR and its spatial resolution and short temporal baselines have the potential to facilitate the monitoring of surface water changes, which are dynamic in space and time. While several methods and tools for flood detection and surface water extraction already exist, they often comprise a significant manual user interaction and do not specifically target the exploitation of Sentinel-1 data. The existing methods commonly rely on thresholding at the level of individual pixels, ignoring the correlation among nearby pixels. Thus, in this paper, we propose a fully automatic processing chain for rapid flood and surface water mapping with smooth labeling based on Sentinel-1 amplitude data. The method is applied to three different sites submitted to recent flooding events. The quantitative evaluation shows relevant results with overall accuracies of more than 98% and F-measure values ranging from 0.64 to 0.92. These results are encouraging and the first step to proposing operational image chain processing to help end-users quickly map flooding events or surface waters. [ABSTRACT FROM AUTHOR]
Published: 2018
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33. Improvement of an index oriented methodology for consequence analysis of natural hazards: application to the Upper Guil Catchment (Southern French Alps).

Author: Carlier, Benoît, Puissant, Anne, Dujarric, Constance, and Arnaud-Fassetta, Gilles
Subjects: SOCIOECONOMIC factors, WATERSHEDS, HAZARDS
Abstract: Vulnerability is a complex concept involving a variety of disciplines from physical and socio-economic sciences. Currently, two opposite trends exist: the physical approach in which vulnerability is analysed as potential impacts on the exposed elements; and the social approach in which vulnerability is viewed as a combination of socio-economic variables determining people's ability to anticipate before a catastrophic event, to react during it, and to recover after it. Finding a way to combine these two approaches is a key issue for a global vulnerability assessment. The objective of this paper is to improve the Potential Damage Index (Puissant et al., 2013) originally developed to assess the physical, structural and functional consequences of landslide hazard, by including social and institutional criteria. These criteria, derived from INSEE French census data and risk perception survey were selected to represent the three main phases of risk management: preparedness, crisis management and recovery. The new Global Potential Damage Index is then applied on the Upper Guil Catchment to assess torrential floods. Results of the PDI are compared with the GPDI and show significant differences. GPDI scores are globally lower than PDI scores indicating that resilient population may qualify results obtained for physical consequences. [ABSTRACT FROM AUTHOR]
Published: 2017
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34. Automated mapping of coastline from high resolution satellite images using supervised segmentation

Author: Puissant, Anne, Lefèvre, Sébastien, Rougier, Simon, Malet, Jean-Philippe, Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), SEarch, Analyze, Synthesize and Interact with Data Ecosystems (SEASIDE), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: Image segmentation, Coastline extraction, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, High resolution optical imagery, Weak supervision
Abstract: International audience; In this article, we are dealing with the problem of coastline extraction in High and Very High Resolution multispectral images. Locating precisely the coastline is a crucial task in the context of coastal resource management and planning. According to the type of coastal units (sandy beach, wetlands, dune, cliff), several definitions for the coastline has to be used. In this paper a new image segmentation method, which is not fully automated but relies on a low intervention of the expert to drive the segmentation process, is proposed. The method combines both a marker-based watershed transform (a standard image segmentation method) and a supervised pixel classification. The user inputs only consist of some spatial and spectral samples which are defined depending on the coastal environment to be monitored. The applicability of the method is tested on various types of coastal environments in France.
Published: 2012

35. A WebGIS service for managing, sharing and communicating information on mountain risks: a pilot study at the Barcelonnette Basin (South French Alps)

Author: Frigerio, S., Skupinski, Grzegorz, Kappes, Manfred M., Malet, Jean-Philippe, Puissant, Anne, Institute for the Dynamic of Environmental Processes, National Research Council (CNR-IDPA), Department of Environmental Sciences, Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Institur für Physikalische Chemie [Karlsruhe], Karlsruher Institut für Technologie (KIT), Institut de physique du globe de Strasbourg (IPGS), and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)
Subjects: WebGIS service, Barcelonnette Basin, [SHS.GEO]Humanities and Social Sciences/Geography, mountain risks
Published: 2010

36. Landslide susceptility mapping at 1:1 M scale over France: exploratory results with a heuristic model

Author: Malet, Jean-Philippe, Hervas, J., Günther, A., Puissant, Anne, Grandjean, Gilles, Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), and Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: mapping at 1:1 M scale, heuristic model, [SHS.GEO]Humanities and Social Sciences/Geography, Landslide susceptility
Published: 2009

37. Risk management and mitigation of coastal landslides in Normandy

Author: Maquaire, O., Costa, Stéphane, Lissak, C., Malet, Jean-Philippe, Puissant, Anne, Parey, Blandine, Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), and Normandie Université (NU)-Normandie Université (NU)
Subjects: [SHS.GEO] Humanities and Social Sciences/Geography, [SHS.GEO]Humanities and Social Sciences/Geography
Published: 2009

38. Landslide risk zoning - what can be expected from model simulation? A tentative approach application in South French Alps

Author: Malet, Jean-Philippe, Maquaire, Olivier, Thiery, Y., Puissant, Anne, van Beek, L.P.H., van Asch, T., Remaître, Alexandre, Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Faculty of Geosciences, Utrecht University [Utrecht], J. Hervas, Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), and Schlumberger, Rosine
Subjects: South French Alps, Landslide, [SHS.GEO] Humanities and Social Sciences/Geography, model simulation, [SHS.GEO]Humanities and Social Sciences/Geography, risk zoning
Published: 2007

39. Deriving Classification Rules from Multiple Remotely Sensed Data with Data Mining

Author: Sheeren, David, Puissant, Anne, Weber, Chrisitane, Gancarski, Pierre, Wemmert, Cédric, Identités et Différenciation de l'Environnement des Espaces et des Sociétés (IDEES), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés (IDEES), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Université de Caen Normandie (UNICAEN), and Baehrel, Estelle
Subjects: remotely Sensed Data, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SHS.GEO] Humanities and Social Sciences/Geography, [SHS.GEO]Humanities and Social Sciences/Geography, Classification, Data mining, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience
Published: 2006

40. Project: review and application of methods to analyze landslide consequences

Author: Maquaire, Olivier, Malet, Jean-Philippe, Puissant, Anne, Thiery, Yannick, Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), and Parey, Blandine
Subjects: [SDE] Environmental Sciences, landslide, [SHS.GEO] Humanities and Social Sciences/Geography, [SDE]Environmental Sciences, [SHS.GEO]Humanities and Social Sciences/Geography, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2005

41. Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques.

Author: Sublime, Jérémie, Troya-Galvis, Andrés, and Puissant, Anne
Subjects: HIGH resolution imaging, REMOTE-sensing images, SUPERVISED learning, COMPUTER algorithms, IMAGE segmentation
Abstract: This article is concerned with the use of unsupervised methods to process very high resolution satellite images with minimal or little human intervention. In a context where more and more complex and very high resolution satellite images are available, it has become increasingly difficult to propose learning sets for supervised algorithms to process such data and even more complicated to process them manually. Within this context, in this article we propose a fully unsupervised step by step method to process very high resolution images, making it possible to link clusters to the land cover classes of interest. For each step, we discuss the various challenges and state of the art algorithms to make the full process as efficient as possible. In particular, one of the main contributions of this article comes in the form of a multi-scale analysis clustering algorithm that we use during the processing of the image segments. Our proposed methods are tested on a very high resolution image (Pléiades) of the urban area around the French city of Strasbourg and show relevant results at each step of the process. [ABSTRACT FROM AUTHOR]
Published: 2017
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42. Assessing large scale erosion susceptibility by combining remote sensing data and fuzzy logic modelling. Application to the Syros Island, Cycladic Archipelagos, Greece

Author: Weber, Christiane, Puissant, Anne, Evelpidou, Niki, Lobry, Juliette, Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Identités et Différenciation de l'Environnement des Espaces et des Sociétés (IDEES), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU), Baehrel, Estelle, Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés (IDEES), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), and Normandie Université (NU)-Université de Caen Normandie (UNICAEN)
Subjects: remote sensing, logique floue, [SHS.GEO] Humanities and Social Sciences/Geography, télédétection, fuzzy logic, [SHS.GEO]Humanities and Social Sciences/Geography, Syros (cyclades), scale erosion
Published: 2005

43. The utility of texture analysis to improve per pixel classification for high spatial resolution imagery

Author: Puissant, Anne, Hirsch, Jacky, Weber, Christiane, Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Biologie Intégrative des Populations, École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), and Baehrel, Estelle
Subjects: classification haute analyse spatiale, [SHS.GEO] Humanities and Social Sciences/Geography, analyse de texture, classification for high spatial resolution, [SHS.GEO]Humanities and Social Sciences/Geography, ComputingMilieux_MISCELLANEOUS, texture analysis
Abstract: International audience
Published: 2005

44. Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases.

Author: Gançarski, Pierre, Puissant, Anne, and Petitjean, François
Subjects: *TOPOGRAPHY, *SYMBOLIC dynamics, *HIERARCHICAL clustering (Cluster analysis), *SEMANTICS, *TIME series analysis
Abstract: This article introduces a new methodology dedicated to classify the evolutions of urban blocks extracted from spatiotemporal topographic databases where an urban block is defined as the smallest area that is surrounded by communication network (roads, railways, . . .). To achieve that, an ascendant hierarchical clustering is applied to sequences of urban block states (i.e., sequences of class labels to which the block belongs to at each date). The principal originality of this approach is to use a distance measure based on DTW (Dynamic Time Warping) which is able to apprehend temporal behaviors (mainly time lags in dates corresponding to a change of state) and which takes into account the semantic proximity between the different kinds of urban blocks. Several experiments have been carried out on areas in the city of Strasbourg (France). First results are relevant and highlight realistic urban dynamics. [ABSTRACT FROM AUTHOR]
Published: 2016
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45. Spatio–Temporal Clustering and Active Learning for Change Classification in Satellite Image Time Series.

Author: Debonnaire, Nicolas, Stumpf, Andre, and Puissant, Anne
Abstract: Active learning (AL) has emerged as a versatile approach to reduce the training data required for remote sensing image classification, but its use for the analysis of satellite image time series (SITS) has not been explored yet. This study targets to explore a new object-based framework for change detection in SITS, combining the state-of-the-art spatio–temporal clustering and the use of different machine learning algorithms. Indeed, this study aims at testing whether standard machine learning algorithms can detect changes in long time series and whether AL can improve the results compared to traditional supervised learning. The tested AL algorithms comprise random forest-based heuristics that use a combination of uncertainty and diversity criteria, and a classical SVM breaking ties heuristic. The different implementations are evaluated with two datasets that depict changes around the Arcachon basin (West of France) and around the city of Colmar (East of France) spanning over more than 20 years and comprising four change classes (urban sprawl, forest gain, forest loss, and other). The tests demonstrate that steeper learning curves can be obtained with AL when compared to supervised learning. However, the performance of different AL algorithms depends on the dataset. [ABSTRACT FROM PUBLISHER]
Published: 2016
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46. Modélisation spatiale de la susceptibilité des versants aux mouvements de terrain

Author: Thiery, Yannick, Sterlacchini, Simone, Malet, Jean-Philippe, Puissant, Anne, Maquaire, Olivier, Thiery, Yannick, Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-Université de Nantes (UN)-École pratique des hautes études (EPHE)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Institut de physique du globe de Strasbourg (IPGS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), CNR-IDPA, Consiglio Nazionale delle Ricerche (CNR), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), ALARM (Assessment of Landslide Risk and Mitigation in Mountainous Areas), contrat EVG1-2001-00018, 2002-2004, Coordinateur : S. Silvano (CNRIRPI, Padoue, Italie), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), and Université de Nantes (UN)-Université de Nantes (UN)
Subjects: landslides, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, Weight of Evidence, conditional independence, théorie de l'évidence, [SHS.GEO] Humanities and Social Sciences/Geography, [SHS.GEO]Humanities and Social Sciences/Geography, GIS, SIG, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, susceptibility, indépendance conditionnelle, modelling, mouvements de terrain, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, susceptibilité, modélisation
Abstract: GIS are more and more used to model slopes landslides susceptibility. Among the different methods generally used, bivariate analysis are considered as the more efficient and robust techniques, particularly the Weight of Evidence technique. However, one major drawback of this technique is the problem of information redundancy between predictive variables. It needs an adapted strategy to reduce this conditional dependence problem. This paper presents a strategy to obtain good landslides susceptibility zonation without statistical problems at the 1/10 000 scale in a complex mountainous environment., Les SIG sont de plus en plus utilisés pour modéliser la susceptibilité des versants aux mouvements de terrain. Parmi les différentes méthodes utilisées, les techniques bivariées sont considérées comme les plus robustes et les plus souples à mettre en place, notamment la technique de la théorie de l'évidence. Cependant, l'inconvénient majeur de ce type de technique reste le problème de redondance d'information entre les variables prédictives, ce qui nécessite une stratégie adaptée pour régler le problème de dépendance conditionnelle. A travers une analyse de sensibilité sur les variables à modéliser et sur les variables prédictives, cet article présente une stratégie pour obtenir des cartes de susceptibilité réalistes et statistiquement acceptables pour une échelle du 1 /10 000éme dans un environnement montagneux complexe.
Published: 2004

47. A. Current practices and assessment tools of landslide vulnerability in mountainous basins. Identification of exposed elements with a semi-automatic procedure

Author: Maquaire, Olivier, Weber, Christiane, Thiery, Yannick, Puissant, Anne, Malet, Jean-Philippe, Wania, W, Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Image et ville (IV), Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Lacerda, W.A., Ehrlich, M., Fontoura, S.A.B., Sayão, A.S.F. (Eds.), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Parey, Blandine, and Lacerda, W.A., Ehrlich, M., Fontoura, S.A.B., Sayão, A.S.F. (Eds.)
Subjects: [SDE] Environmental Sciences, landslide, [SHS.GEO] Humanities and Social Sciences/Geography, vulnerability, [SDE]Environmental Sciences, [SHS.GEO]Humanities and Social Sciences/Geography, ComputingMilieux_MISCELLANEOUS, mountainous basins
Abstract: International audience
Published: 2004

48. Strategy to Reduce Subjectivity in Landslide Susceptibility Zonation by GIS in Complex Mountainous Environments

Author: Thiery, Yannick, Sterlacchini, Simone, Malet, Jean-Philippe, Puissant, Anne, Remaître, Alexandre, Maquaire, Olivier, Thiery, Yannick, Institut de physique du globe de Strasbourg (IPGS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), CNR-IDPA, Consiglio Nazionale delle Ricerche (CNR), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), ALARM (Assessment of Landslide Risk and Mitigation in Mountain Areas), contract EVG1-2001-00018, 2002-2004, Co-ordinator: S. Silvano (CNR-IRPI, Padova), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-Université de Nantes (UN)-École pratique des hautes études (EPHE)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)
Subjects: GIS modelling, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, conditional independence, [SHS.GEO] Humanities and Social Sciences/Geography, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SHS.GEO]Humanities and Social Sciences/Geography, landslide susceptibility, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, geographical information, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract: International audience; In the last decade, statistical modelling of landslide susceptibility by GIS has become a major topic of research. Despite some advancements, particularly through the bayesian approach based on the concept of “weight of evidence”, some unsolved questions may be asked: (i) what is the influence of the input data set on the quality of the simulations and (ii) how can we resolve the effect of violating the conditional independence assumption. This paper presents a strategy to collect relevant geographical information for reducing subjectivity in landslide susceptibility zonation in complex mountainous environments and stresses the different ways to reduce information redundancy.
Published: 2004

49. Fusion of quickbird MS and Pan Data for urban studies

Author: Puissant, Anne, Weber, C., Serradj, Aziz, Ranchin, Thierry, Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Subjects: [SPI.NRJ]Engineering Sciences [physics]/Electric power, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2003

50. Towards the construction of a spatial database to manage landslides with GIS in mountainous environment

Author: Thiery, Yannick, Puissant, Anne, Beck, Elise, Malet, Jean-Philippe, Remaître, Alexandre, Maquaire, Olivier, Sterlacchini, Simone, Institut de physique du globe de Strasbourg (IPGS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Image et ville (IV), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), GOULD M., LAURINI R., COULONDRE S., Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Pacte, Laboratoire de sciences sociales (PACTE), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Sciences Po Grenoble - Institut d'études politiques de Grenoble (IEPG)-Centre National de la Recherche Scientifique (CNRS), CNR-IDPA, Consiglio Nazionale delle Ricerche (CNR), ALARM (Assessment of Landslide Risk and Mitigation in Mountains Area), contract EVG1-2001-00018, 2002-2004, Coordinator: S. Silvano (CNR-IRPI, Padova), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-Université de Nantes (UN)-École pratique des hautes études (EPHE)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Pacte, Laboratoire de sciences sociales, Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Sciences Po Grenoble - Institut d'études politiques de Grenoble (IEPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Thiery, Yannick, Beck, Elise, and GOULD M., LAURINI R., COULONDRE S.
Subjects: landslides, landslide, mountainous environment, [SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology, databases, [SHS.GEO] Humanities and Social Sciences/Geography, weight of evidence, spatial database, [SHS.GEO]Humanities and Social Sciences/Geography, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, GIS, ComputingMilieux_MISCELLANEOUS, risk
Abstract: International audience; While different GIS-based statistical algorithms of landslide predictive modeling exist, few studies explain (i) the best way to acquire the input data and (ii) the overall influence of the input datasets on the quality of the output results. For most of the studies, the main sources of information are aerial photographs and topographic maps. As the analysis of these documents is often delicate, especially for the recognition of the unstable zones (shadow, morphology hidden by vegetation), a field verification (somehow costly) is essential. One other difficulty stands in the integration of data that have different origins (image data, field observations, technical reports) and unequal precision. Even though some authors have proposed a roadmap defining the best source of documents to integrate in the database (according to the working scale), any sound evaluation of the source information, or any assessment of the acquisition exist. A methodological reflexion has to be carried out to define the best source of information according to the objectives of the study, the scale of interest, the complexity of the environment (topography, land-use) and the time available.
Published: 2003

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