74,170 results
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2. Special Paper: A Vegetation Map of Central Africa Derived from Satellite Imagery
- Author
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Mayaux, Philippe, Richards, Tim, and Janodet, Eve
- Published
- 1999
3. Special Paper: A New Land-Cover Map of Africa for the Year 2000
- Author
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Mayaux, Philippe, Bartholomé, Etienne, Fritz, Steffen, and Belward, Alan
- Published
- 2004
4. Assessment of the health impact of paper mulberry (Broussonetia papyrifera L.), an invasive plant species in Islamabad, Pakistan
- Author
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Sana Qazi, Javed Iqbal, and Junaid Aziz Khan
- Subjects
Paper mulberry ,Invasive species ,Pollen allergy ,Remote sensing ,Spatial analysis ,Pakistan ,Geography (General) ,G1-922 - Abstract
This study focuses on the risk of pollen allergy due to paper mulberry (Broussonetia papyrifera L.), an Asian invasive plant species now common in large parts of the world. Pollen plays a key role in the pathogenesis of respiratory allergic diseases, particularly rhinitis and asthma, and Islamabad, a major metropolitan city, is severely affected by allergy owing to B. papyrifera pollen. Due to its seasonality and other relationships with climatic variables, we used remote sensing to monitor the trend of pollen count. We also mapped the localisation of patients affected by pollen allergy using geographic information systems. The maximum likelihood algorithm was applied to SPOT-5 satellite imagery for land use/land cover classification. Temporal analysis of remotely sensed data revealed an increasing trend of paper mulberry density towards the southern and south-western part of Islamabad. Although not evident during rainfall, a clear positive correlation was found between patient count and pollen count. Field survey data and hotspot spatial analysis of allergy patients revealed that residents of Shakerperiyan and Lok Virsa areas (Sectors H-8, I-8, I-9, G-8, G-7 and G-6 in Islamabad) had more pronounced symptoms compared to residents of other sectors. The methodology adopted used in this study can be used to map the distribution of similar invasive species in other parts of the country.
- Published
- 2019
- Full Text
- View/download PDF
5. Introduction to a Thematic Set of Papers on Remote Sensing for Natural Hazards Assessment and Control
- Author
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Paolo Mazzanti and Saverio Romeo
- Subjects
remote sensing ,natural hazards ,hazard ,vulnerability ,risk assessment ,Science - Abstract
Remote sensing is currently showing high potential to provide valuable information at various spatial and temporal scales concerning natural hazards and their associated risks. Recent advances in technology and processing methods have strongly contributed to the development of disaster risk reduction research. In this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we propose state-of-the-art research that specifically addresses multiple aspects of the use of remote sensing for natural hazards. The aim was to collect innovative methodologies, expertise, and capabilities to detect, assess monitor, and model natural hazards. In this regard, 18 open-access papers showcase scientific studies based on the exploitation of a broad range of remote sensing data and techniques, as well as focusing on a well-assorted sample of natural hazard types.
- Published
- 2023
- Full Text
- View/download PDF
6. Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021
- Author
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Timo Balz
- Subjects
scientometric ,remote sensing ,trends ,cooperation ,readability ,Science - Abstract
Covering the full texts of all papers published in MDPI’s Remote Sensing between 2009 and 2021, in-depth scientometric analyses were conducted. Trends in publications show an increase in the overall number of papers. A relative increase in papers using SAR sensors and a relative decrease in papers using optical remote sensing can also be seen. The full-text analyses reveal distinctive styles and writing patterns for papers from different sub-fields of remote sensing and for different countries and even cities. While a slight increase in the readability of abstracts is detected over time, the overall readability of papers is decreasing. Institutional co-authorship analysis reveals the ongoing ‘scientific decoupling’ between China and the USA in remote sensing. Using scientometric full-text analysis, current trends and developments are revealed.
- Published
- 2022
- Full Text
- View/download PDF
7. Validating predictions of burial mounds with field data: the promise and reality of machine learning
- Author
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Sobotkova, Adela, Kristensen-McLachlan, Ross Deans, Mallon, Orla, and Ross, Shawn Adrian
- Published
- 2024
- Full Text
- View/download PDF
8. Introduction to a Thematic Set of Papers on Remote Sensing for Natural Hazards Assessment and Control.
- Author
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Mazzanti, Paolo and Romeo, Saverio
- Subjects
- *
REMOTE sensing , *RISK assessment - Abstract
Remote sensing is currently showing high potential to provide valuable information at various spatial and temporal scales concerning natural hazards and their associated risks. Recent advances in technology and processing methods have strongly contributed to the development of disaster risk reduction research. In this Special Issue titled "Remote Sensing for Natural Hazards Assessment and Control", we propose state-of-the-art research that specifically addresses multiple aspects of the use of remote sensing for natural hazards. The aim was to collect innovative methodologies, expertise, and capabilities to detect, assess monitor, and model natural hazards. In this regard, 18 open-access papers showcase scientific studies based on the exploitation of a broad range of remote sensing data and techniques, as well as focusing on a well-assorted sample of natural hazard types. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
9. PAPERS ON GEOPHYSICAL INVESTIGATIONS OF WOODLAND AND CADDO SITES IN THE CADDO AREA OF THE SOUTHEASTERN UNITED STATES
- Author
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Perttula, Timothy K.
- Published
- 2010
10. Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
- Author
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Teo Nguyen, Benoît Liquet, Kerrie Mengersen, and Damien Sous
- Subjects
coral mapping ,coral reefs ,machine learning ,remote sensing ,satellite imagery ,Science - Abstract
Coral reefs are an essential source of marine biodiversity, but they are declining at an alarming rate under the combined effects of global change and human pressure. A precise mapping of coral reef habitat with high spatial and time resolutions has become a necessary step for monitoring their health and evolution. This mapping can be achieved remotely thanks to satellite imagery coupled with machine-learning algorithms. In this paper, we review the different satellites used in recent literature, as well as the most common and efficient machine-learning methods. To account for the recent explosion of published research on coral reel mapping, we especially focus on the papers published between 2018 and 2020. Our review study indicates that object-based methods provide more accurate results than pixel-based ones, and that the most accurate methods are Support Vector Machine and Random Forest. We emphasize that the satellites with the highest spatial resolution provide the best images for benthic habitat mapping. We also highlight that preprocessing steps (water column correction, sunglint removal, etc.) and additional inputs (bathymetry data, aerial photographs, etc.) can significantly improve the mapping accuracy.
- Published
- 2021
- Full Text
- View/download PDF
11. Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021.
- Author
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Balz, Timo
- Subjects
- *
REMOTE sensing , *TEXT files , *OPTICAL remote sensing - Abstract
Covering the full texts of all papers published in MDPI's Remote Sensing between 2009 and 2021, in-depth scientometric analyses were conducted. Trends in publications show an increase in the overall number of papers. A relative increase in papers using SAR sensors and a relative decrease in papers using optical remote sensing can also be seen. The full-text analyses reveal distinctive styles and writing patterns for papers from different sub-fields of remote sensing and for different countries and even cities. While a slight increase in the readability of abstracts is detected over time, the overall readability of papers is decreasing. Institutional co-authorship analysis reveals the ongoing 'scientific decoupling' between China and the USA in remote sensing. Using scientometric full-text analysis, current trends and developments are revealed. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
12. Editorial of Special Issue "Remote Sensing Observations to Improve Knowledge of Lithosphere–Atmosphere–Ionosphere Coupling during the Preparatory Phase of Earthquakes".
- Author
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Marchetti, Dedalo, Yuan, Yunbin, and Zhu, Kaiguang
- Subjects
REMOTE sensing ,EARTHQUAKES ,NEPAL Earthquake, 2015 ,GEOMAGNETISM ,KAHRAMANMARAS Earthquake, Turkey & Syria, 2023 ,EARTHQUAKE magnitude ,SEISMIC tomography - Abstract
This document is an editorial for a special issue of the journal Remote Sensing, which focuses on using satellite data and new methodologies to understand the preparatory phase of medium-large earthquakes. The issue includes 15 papers from authors in various countries, covering topics such as seismo-electromagnetic processes, lithospheric structure, atmospheric anomalies, ionospheric disturbances, and interactions between the lithosphere, atmosphere, and ionosphere. The editorial emphasizes the need for further research to explain the different patterns observed in earthquakes and the potential role of tectonic settings and water in these phenomena. Additionally, there is an acknowledgment section from a research paper published in the journal, expressing gratitude to the academic editors who helped evaluate the papers in the special issue. [Extracted from the article]
- Published
- 2024
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- View/download PDF
13. Large-scale management of common reed, Phragmitesaustralis, for paper production: A case study from the Liaohe Delta, China.
- Author
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Brix, Hans, Ye, Siyuan, Laws, Edward A., Sun, Dechao, Li, Guosheng, Ding, Xigui, Yuan, Hongming, Zhao, Guangming, Wang, Jin, and Pei, Shaofeng
- Subjects
- *
PHRAGMITES australis , *PAPER industry , *PLANT biomass , *REMOTE sensing , *WATER table , *JOB creation - Abstract
The largest Phragmites reed field in the world, with a historical area of approximately 1000 km 2 , is located in the Liaohe Delta in northeastern China. The Phragmites wetlands are extensively managed to maximize the production of reed biomass for the paper industry. Based on satellite remote sensing we estimated that the total area of the Phragmites wetlands has decreased from 857 km 2 in 2003 to 786 km 2 in 2009 to accommodate oil field infrastructure and societal developments. However, at the same time the production of Phragmites biomass used for the production of reed pulp has increased to 400,000 metric tons per year. This paper describes the great efforts that have been made to increase the Phragmites yields for the paper industry, including (1) diversion of freshwater from rivers to the Phragmites fields, (2) management of the water table, (3) harvesting and burning for pest control, and (4) seawater irrigation to rehabilitate Phragmites fields infested with weeds. The paper industry has facilitated the conservation of the Phragmites wetlands and their associated ecosystem services. Besides being a source for fiber, the wetlands provide important habitat for wildlife, sequester carbon, and create job opportunities and economic income for the local people. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
14. Measurement in Machine Vision Editorial Paper.
- Author
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Sergiyenko, Oleg, Flores-Fuentes, Wendy, Rodríguez-Quiñonez, Julio C., Mercorelli, Paolo, Kawabe, Tohru, and Bhateja, Vikrant
- Subjects
- *
COMPUTER vision , *CYBER physical systems , *INTERPOLATION algorithms , *ARTIFICIAL intelligence , *OPTICAL computing , *SENSORY memory , *DISPLACEMENT (Mechanics) - Abstract
Measurement related to different machine vision functions is the base for developing of cyber-physical systems able to see and make decisions. These kinds of systems are emerging in all areas of our daily lives. They can be found in the medical area, in industry, in the agriculture, in all those interconnected cloud computing-based systems related to flying/terrestrial robotics, navigation, automated surgery, smart cities, smart health monitoring, etc. All of them are extremely dependent on the same: adequate coordinates measurement, properly selected data processing and data fusion algorithms, evaluation procedures for performance analysis of measurement within Machine Vision systems, processes and algorithms (both traditional and artificial intelligence), mathematical models for 3D-measurement purposes (measurement of displacements, surface profiles, deformations, data augmentation/interpolation, etc.), and distributed visual measurement systems, as well as distributed memory and sensory part. Cyber-physical systems can be implemented on almost any application, especially on those dotted by robots and automated guided devices (from aerospace applications to domestic cleaners). The success of the measurement process depends on the kind of sensors and their optoelectronics characteristics and intrinsic parameters, as well as their respective operating and processing. The correct approach selection for the application, the data acquisition and collection efficiency, the data processing algorithms, the hardware processors response time, and the intelligent auto adaptability to changing environments or conditions. Recently, the emergence of artificial intelligence algorithms and the internet of things have powerful development of such systems, highlighting the importance and the impact of the measurement accuracy related to machine vision performance. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
15. Networking the forest infrastructure towards near real-time monitoring – A white paper
- Author
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Zweifel, Roman, Pappas, Christoforos, Peters, Richard L., Babst, Flurin, Balanzategui, Daniel, Basler, David, Bastos, Ana, Beloiu, Mirela, Buchmann, Nina, Bose, Arun K., Braun, Sabine, Damm, Alexander, D'Odorico, Petra, Eitel, Jan U.H., Etzold, Sophia, Fonti, Patrick, Rouholahnejad Freund, Elham, Gessler, Arthur, Haeni, Matthias, Hoch, Günter, Kahmen, Ansgar, Körner, Christian, Krejza, Jan, Krumm, Frank, Leuchner, Michael, Leuschner, Christoph, Lukovic, Mirko, Martínez-Vilalta, Jordi, Matula, Radim, Meesenburg, Henning, Meir, Patrick, Plichta, Roman, Poyatos, Rafael, Rohner, Brigitte, Ruehr, Nadine, Salomón, Roberto L., Scharnweber, Tobias, Schaub, Marcus, Steger, David N., Steppe, Kathy, Still, Christopher, Stojanović, Marko, Trotsiuk, Volodymyr, Vitasse, Yann, von Arx, Georg, Wilmking, Martin, Zahnd, Cedric, and Sterck, Frank
- Subjects
Automated ,Environmental Engineering ,Ecophysiology ,550 Geowissenschaften, Geologie ,Meta-network ,Remote sensing ,PE&RC ,Pollution ,Forest Ecology and Forest Management ,Nowcasting and predictions in near real-time ,Environmental Chemistry ,Bosecologie en Bosbeheer ,Automated, standardized linking methods ,Forest monitoring and observation infrastructure ,standardized linking methods ,Waste Management and Disposal - Abstract
Forests account for nearly 90 % of the world's terrestrial biomass in the form of carbon and they support 80 % of the global biodiversity. To understand the underlying forest dynamics, we need a long-term but also relatively high-frequency, networked monitoring system, as traditionally used in meteorology or hydrology. While there are numerous existing forest monitoring sites, particularly in temperate regions, the resulting data streams are rarely connected and do not provide information promptly, which hampers real-time assessments of forest responses to extreme climate events. The technology to build a better global forest monitoring network now exists. This white paper addresses the key structural components needed to achieve a novel meta-network. We propose to complement - rather than replace or unify - the existing heterogeneous infrastructure with standardized, quality-assured linking methods and interacting data processing centers to create an integrated forest monitoring network. These automated (research topic-dependent) linking methods in atmosphere, biosphere, and pedosphere play a key role in scaling site-specific results and processing them in a timely manner. To ensure broad participation from existing monitoring sites and to establish new sites, these linking methods must be as informative, reliable, affordable, and maintainable as possible, and should be supplemented by near real-time remote sensing data. The proposed novel meta-network will enable the detection of emergent patterns that would not be visible from isolated analyses of individual sites. In addition, the near real-time availability of data will facilitate predictions of current forest conditions (nowcasts), which are urgently needed for research and decision making in the face of rapid climate change. We call for international and interdisciplinary efforts in this direction.
- Published
- 2023
16. Landslides in Central Asia: a review of papers published in 2000–2020 with a particular focus on the importance of GIS and remote sensing techniques.
- Author
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Khasanov, Sayidjakhon, Juliev, Mukhiddin, Uzbekov, Umidkhon, Aslanov, Ilhomjon, Agzamova, Inobat, Normatova, Nasiba, Islamov, Sohib, Goziev, Giyosiddin, Khodjaeva, Sevarakhon, and Holov, Nabijon
- Subjects
- *
LANDSLIDES , *REMOTE sensing , *GEOGRAPHIC information systems , *TRAFFIC safety , *SOIL classification , *TSUNAMI warning systems , *HAZARDS - Abstract
Landslides are among the major environmental hazards with large-scale socio-economic and environmental impacts that jeopardize socio-economic wellbeing in mountainous regions. Landslides are due to the interaction of several complex factors such as local or regional geology, geomorphology, topography, and seismic motions. The goal of this study is to review published articles on causes and effects of landslides in Central Asia throughout 2000–2020. In line with this goal, we have collected (using Scopus database), reviewed, and analyzed 79 papers published during 2000–2020. Our results revealed an increasing number of landslide studies in Central Asia during the period under investigation, with authors from Belgium dominating in the published outcomes (28% of total), followed by authors from Central-Asian countries. After then, the paper analyses the mostly applied models and frequently identified driving conditions and triggers of landsliding, such as aspect, altitude, soil types, precipitation, earthquakes and human interventions. Geographic information system (GIS) and remote sensing (RS) had not commonly been used in the papers between 2000 and 2010, and they have progressively been applied in landslide studies in Central Asia in the last decade. According to our analysis, geotechnical, geophysical and statistical methods were preferably used for the landslide studies in Central Asia. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
17. Special Issue on Selected Papers from "International Symposium on Remote Sensing 2021".
- Author
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Hong, Sang-Hoon, Kim, Jinsoo, and Jung, Hyung-Sup
- Subjects
- *
REMOTE sensing , *CONVOLUTIONAL neural networks , *NORMALIZED difference vegetation index ,KUROSHIO - Abstract
10.3390/rs13214334 7 Park S.-H., Yoo J., Son D., Kim J., Jung H.-S. Improved Calibration of Wind Estimates from Advanced Scatterometer MetOp-B in Korean Seas Using Deep Neural Network. Lee and Choi [[4]] proposed a daytime cloud detection algorithm using a multi-temporal Geostationary Korea Multi-Purpose Satellite 2A (GEO-KOMPSAT-2A, GK-2A) dataset. 10.3390/rs13214282 9 Park S.-H., Jung H.-S., Lee S., Kim E.-S. Mapping Forest Vertical Structure in Sogwang-ri Forest from Full-Waveform Lidar Point Clouds Using Deep Neural Network. [Extracted from the article]
- Published
- 2023
- Full Text
- View/download PDF
18. Image analytical monitoring of paper quality - a feasibility study.
- Author
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Dahl, Casper K., Minkkinen, Pentti, and Esbensen, Kim H.
- Subjects
PAPER ,DIGITAL image processing ,OPTICAL images ,QUALITY ,LIGHTING ,REMOTE sensing ,MULTIVARIATE analysis ,MATHEMATICAL statistics ,DETECTORS - Abstract
The article discusses the study on how far optical paper quality characterization can reach on its own merits. The study involves the use of a combination of digital image acquisition, followed by the angle measurement technique (AMT). Fourteen selected paper quality parameters were evaluated using new image analytical techniques for characterization and monitoring of paper quality. The results show that the new remote sensing image technique shows promising application potential for online product monitoring of the specified physical qualities.
- Published
- 2006
19. Mapping subsurface tile lines on a research farm using aerial photography, paper maps, and expert knowledge.
- Author
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Rahmani, Shams R. and Schulze, Darrell G.
- Subjects
AERIAL photography ,SUBSURFACE drainage ,ENVIRONMENTAL sciences ,REMOTE sensing ,GROUND penetrating radar - Abstract
Accurate maps of subsurface tile drainage lines are needed for agronomic and environmental research studies and the maintenance of current tile drainage systems. In this study, tile lines at the Purdue University Agronomy Center for Research and Education near West Lafayette, Indiana were located using a combination of visual aerial photo interpretation, expert knowledge, and paper construction drawings. The mapping accuracy was assessed at 27 locations where tile lines were located physically using a tile probe. Tile lines were correctly predicted 89% of the time with an average spatial accuracy of ±1.23 m of the true tile locations. This approach was better than a previous tile line location map prepared using an automated remote sensing method, which had an average spatial accuracy of ±2.12 m. Core Ideas: Tile lines were located based on visual aerial photo interpretation, paper maps, and expert knowledge.Photo interpretation was a useful method to map unknown tile lines and provided better results than remote sensing.Accurate location of tile lines is vital for agronomic and environmental research studies. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
20. Spatio-temporal analysis of urban expansion using remote sensing data and GIS for the sustainable management of urban land: the case of Burayu, Ethiopia
- Author
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Talema, Abebe Hambe and Nigusie, Wubshet Berhanu
- Published
- 2024
- Full Text
- View/download PDF
21. Spatial varying profiling of air PM constituents using paper-based microfluidics
- Author
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Hao Sun, Jianping Zheng, Wenyu Wu, Zhonghua Ni, and Yuan Jia
- Subjects
Fluid Flow and Transfer Processes ,Pollution ,media_common.quotation_subject ,Microfluidics ,Biomedical Engineering ,Air pollution ,Paper based ,Condensed Matter Physics ,medicine.disease_cause ,Colloid and Surface Chemistry ,medicine ,Environmental science ,Profiling (information science) ,General Materials Science ,Sampling time ,Remote sensing ,media_common ,Regular Articles - Abstract
Accurate and quantitative profiling of air particulate matter (PM) compositions is essential for assessing local pollution information. The method combining mobile aerial sampling using unmanned aerial vehicles (UAVs) and prompt analysis excels in this regard as it allows spatiotemporal mapping of air pollution, especially in the vertical direction. However, applications of the method are still scarce as it is limited by a lack of sampling reliability due to insufficient aerial sampling time and a lack of accurate, portable quantification techniques. In this work, by integrating mobile aerial sampling with in-flight tethered charging and smartphone-based colorimetric analysis in a cost-effective paper microfluidic device, we present a method for quantitative, reliable profiling of spatiotemporal variation in air PM compositions. The method extends aerial sampling time to 12–15 flight hours per deployment, thereby significantly improving sampling reliability while maintaining the maneuverability of the UAVs. Also, smartphone-based colorimetric analysis combined with paper-based microfluidics enables portable, economically efficient analysis and is well-suited for using in low-resource settings. We demonstrated the utility of the method by carrying out a spatiotemporal variation study of air PM trace metal components (Fe, Ni, and Mn) at 4 geographical locations in Fuzhou, China, for a period of 21 days, and the results were in good agreement with results obtained from using a commercial instrument. Beside air PM composition study, this method is universally applicable and holds great potential to be extended to multipollutant analysis, such as prompt detection of airborne viruses, bacteria, and others.
- Published
- 2019
22. Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
- Author
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Nguyen, Teo, Liquet, Benoit, Mengersen, Kerrie, Sous, Damien, Laboratoire de Mathématiques et de leurs Applications [Pau] (LMAP), Université de Pau et des Pays de l'Adour (UPPA)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen d'océanologie (MIO), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[STAT]Statistics [stat] ,remote sensing ,machine learning ,Science ,coral mapping ,coral reefs ,satellite imagery - Abstract
International audience; Coral reefs are an essential source of marine biodiversity, but they are declining at an alarming rate under the combined effects of global change and human pressure. A precise mapping of coral reef habitat with high spatial and time resolutions has become a necessary step for monitoring their health and evolution. This mapping can be achieved remotely thanks to satellite imagery coupled with machine-learning algorithms. In this paper, we review the different satellites used in recent literature, as well as the most common and efficient machine-learning methods. To account for the recent explosion of published research on coral reel mapping, we especially focus on the papers published between 2018 and 2020. Our review study indicates that object-based methods provide more accurate results than pixel-based ones, and that the most accurate methods are Support Vector Machine and Random Forest. We emphasize that the satellites with the highest spatial resolution provide the best images for benthic habitat mapping. We also highlight that preprocessing steps (water column correction, sunglint removal, etc.) and additional inputs (bathymetry data, aerial photographs, etc.) can significantly improve the mapping accuracy.
- Published
- 2021
23. The ERS position paper on heated tobacco products
- Author
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Sofia Belo Ravara
- Subjects
heated tobacco products ,Health (social science) ,Geography ,Epidemiology ,lcsh:Public aspects of medicine ,Public Health, Environmental and Occupational Health ,Position paper ,lcsh:RA1-1270 ,Health Professions (miscellaneous) ,Remote sensing - Abstract
Emergent tobacco products such as heated tobacco remain largely unregulated in many countries menacing the progress of tobacco control achieved in the last decades. They are being aggressively marketed by the industry as products of “reduced risk” and “smoking cessation tools” or smoke-free alternatives to smoking conventional cigarettes. WHO stresses that heated tobacco products are tobacco products and are therefore subject to the provisions of the WHO-FCTC. To date, there is growing independent research showing that these products are not harmless. However, a dangerous debate has re-launched harm reduction in the field of tobacco control and is splitting scientists, the public health community and society as large. Healthcare professional organizations have a crucial role to play in tobacco control. The European Respiratory Society (ERS), as a leading medical Society, has paved the way on tobacco control advocacy in Europe and worldwide. This presentation will present the ERS position on heated tobacco products, including the evidence regarding their toxicity, addictive potential and potential impact on public health.
- Published
- 2019
24. Remote sensing to assess the risk for cultural heritage: forecasting potential collapses due to rainfall in historic fortifications
- Author
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Moreno, Mónica, Ortiz, Rocío, and Ortiz, Pilar
- Published
- 2024
- Full Text
- View/download PDF
25. A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies.
- Author
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Abdo, Ziyad Ahmad and Prakash, Satya
- Subjects
- *
LAND cover , *ENVIRONMENTAL monitoring , *SURFACE of the earth , *MEDICAL informatics , *REMOTE sensing , *GEOGRAPHIC information systems , *LAND use - Abstract
Land cover dynamics is a challenging and vigorous process that associates natural and human systems that have undeviating effects on atmosphere, water and soil which lead to many environmental problems worldwide. Urbanization is one of a major land cover change that is highly correlated with many environmental problems that need emphasis. This paper aimed to review and present level and effect of land use land cover changes, urbanization, factors affecting land cover change and application of geographic information system & remote sensing in monitoring land cover changes. Over the past 300 years, about 1.2 million kilometer square of forests and 5.6 million kilometer square of pasture and rangeland were replaced by other uses worldwide, while cultivated land increased by 12 million km2. Inm1950, monlym30 percent of themworldmpopulationmlivedminmurban settings, themfraction raised tom55%mbym2018. This led to about roughly 60% of the ecosystem services are being destroyed or used in unsustainable ways worldwide. Population expansion, change of technology, high land value, corruption, lack of awareness, migration of people and political pressure are among major driving force of land cover changes. Geo-informatics technology specially GIS and Remote Sensing is found to be an excellent tool for study of land cover change that enables observation across large area of earth's surface with low cost, better efficient and high accuracy. Therefore monitoring, analyzing and evaluation of land cover dynamics with the help of geo-informatics is decisive for improved management & characterizing land cover alteration processes, and determining its environmental consequences. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
26. Frost & Sullivan White Paper Urges Clearer Marketing of Vehicle Autonomy and Driver Assistance for Safety
- Subjects
Frost and Sullivan Inc. -- Analysis ,Market research services -- Analysis ,Optical radar -- Safety and security measures ,Motor vehicle drivers -- Safety and security measures ,Corporate sponsorship ,Marketing ,Terms and phrases ,Automotive industry ,Remote sensing ,Technology ,Arts and entertainment industries - Abstract
A recently published white paper developed by Frost & Sullivan calls on the auto industry to clarify and standardize marketing terminology for driver assistance and self-driving technologies. According to a [...]
- Published
- 2019
27. Integrating Remote Sensing and Geospatial Big Data for Land Cover and Land Use Mapping and Monitoring.
- Author
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See, Linda, Lesiv, Myroslava, and Schepaschenko, Dmitry
- Subjects
LAND use mapping ,LAND cover ,REMOTE sensing ,SCIENTIFIC literacy ,GEOSPATIAL data ,BIG data - Abstract
This document provides a summary of a collection of papers that explore the integration of remote sensing and geospatial data for land cover and land use mapping and monitoring. The papers cover various topics, including urban land-use mapping, spatiotemporal change, cropland mapping, forestry, and ecological restoration. The studies demonstrate the benefits of using multiple sources of data and integrating different types of sensors to improve accuracy in land cover classification. The papers also provide technical details and best-practice guidelines for integrating remote sensing into different domains. The collection highlights the importance of this research area and invites further contributions in a second edition of the Special Issue. [Extracted from the article]
- Published
- 2024
- Full Text
- View/download PDF
28. Main Path Analysis to Filter Unbiased Literature.
- Author
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Umair, Muhammad, Majeed, Fiaz, Shoaib, Muhammad, Saleem, Muhammad Qaiser, Adrees, Mohmmed S., Karrar, Abdelrahman Elsharif, Khurram, Shahzada, Shafiq, Muhammad, and Jin-Ghoo Choi
- Subjects
PATH analysis (Statistics) ,DEEP learning ,CITATION analysis ,MACHINE learning ,DATA mining ,REMOTE sensing - Abstract
Citations are references used by researchers to recognize the contributions of researchers in their articles. Citations can be used to discover hidden patterns in the research domain, and can also be used to perform various analyses in data mining. Citation analysis is a quantitative method to identify knowledge dissemination and influence papers in any research area. Citation analysis involves multiple techniques. One of the most commonly used techniques is Main Path Analysis (MPA). According to the specific use of MPA, it has evolved into various variants. Currently, MPA is carried out in different domains, but deep learning in the field of remote sensing has not yet been considered. In this paper, we have used three centrality attributes which are Degree, Betweenness and Closeness centrality to automatically identify important papers by applying clustering method based on machine learning (i.e., K-means). In addition, the main path is drawn from important papers and compared with existing manual methods. In order to conduct experiments, a data set from Web of Science (WOS) has been established, which contains 538 papers in the field of deep learning. Compared with existing works, our method provides the most relevant papers on the main path. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
29. Information and communication technology in agriculture: awareness, readiness and adoption in the Kingdom of Bahrain
- Author
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Al-Ammary, Jaflah Hassan and Ghanem, Mohammed Essam
- Published
- 2024
- Full Text
- View/download PDF
30. Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI [Discussion paper]
- Author
-
Tu, Qiansi, Hase, Frank, Schneider, Matthias, García Rodríguez, Omaira Elena, Blumenstock, Thomas, Borsdorff, Tobias, Frey, Matthias, Khosrawi, Farahnaz, Lorente, Alba, Alberti, Carlos, Bustos Seguela, Juan José de, Butz, André, Carreño Corbella, Virgilio, Cuevas Agulló, Emilio, Curcoll, Roger, Diekmann, Christopher, Dubravica, Darko, Ertl, Benjamin, Estruch, Carme, León-Luis, Sergio Fabián, Marrero, Carlos, Morguí, J. A., Ramos López, Ramón, Scharun, Christian, Schneider, C., Sepúlveda Hernández, Eliezer, Toledano, Carlos, and Torres, Carlos
- Subjects
Infrared Atmospheric Sounding Interferometer ,Tropospheric Monitoring Instrument ,Carbon Column Observing Network ,Remote sensing ,Methane ,Greenhouse gases emissions - Abstract
We use different methane ground- and space-based remote sensing data sets for investigating the emission strength of three waste disposal sites close to Madrid. We present a method that uses wind-assigned anomalies for deriving emission strengths from satellite data and estimating their uncertainty to 9–14 %. The emission strengths estimated from the remote sensing data sets are significantly larger than the values published in the official register. ESA support through the COCCON-PROCEEDS and COCCON-PROCEEDS II projects. In addition, this research was funded by the Ministerio de Economía y Competitividad from Spain through the INMENSE project (CGL2016-80688-P). This research has largely benefit from funds of the Deutsche Forschungsgemeinschaft (provided for the two projects MOTIV and TEDDY with IDs/290612604 and 416767181, respectively).
- Published
- 2021
31. Impact of cloud cover on local remote sensing – Piaśnica River case study.
- Author
-
Paszkuta, Marcin
- Subjects
CLOUDINESS ,REMOTE sensing ,COASTS ,COMMUNITIES ,PAPER products ,SUPERVISED learning - Abstract
New satellite-based techniques open up new horizons to researchers and local communities. Concurrently, however, requirements and expectations with regard to satel-lite-based remote sensing products are increasingly higher. By relying on satellite-derived information, environmental observations can cover areas of a few to several metres resolution. Here we are dealing with free-of-charge and generally available sources of satellite-based information. The Piaśnica River mouth area was selected as an observation site representing a highly dynamic morphological transect. The paper compares products of cloud cover detection, supplied with data and available in the Copernicus database for a local area in the coastal zone of the Baltic Sea. The absolute difference did not exceed 5%, which confirms a high efficiency of the solutions offered. More than 96% of the clouded area determined for the Sentinel-2/MSI (Multispectral Instrument) was correctly identified when compared with supervised observations. The rate was lower (92%) for the Sentinel-3/OLCI (Ocean and Land Colour Instrument). It was eventually concluded that, at the local level, successful observations can be conducted using the cloud cover map supplied with the satellite data. At the same time, the analyses presented do not rule out further efforts to, e.g., increase the accuracy and speed of the analyses. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
32. Digital technology in agriculture: a review of issues, applications and methodologies
- Author
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Du, Xiaoxue, Wang, Xuejian, and Hatzenbuehler, Patrick
- Published
- 2023
- Full Text
- View/download PDF
33. The Adaptable 4A Inversion (5AI): Description and first XCO2 retrievals from OCO-2 observations [Discussion paper]
- Author
-
Dogniaux, Matthieu, Crevoisier, Cyril, Armante, Raymond, Capelle, Virginie, Delahaye, Thibault, Cassé, Vincent, Mazière, Martine de, Deutscher, Nicholas Michael, Feist, Dietrich G., García Rodríguez, Omaira Elena, Griffith, David W. T., Hase, Frank, Iraci, Laura, Kivi, Rigel, Morino, Isamu, Notholt, Justus, Pollard, David F., Roehl, Coleen M., Shiomi, Kei, Strong, Kimberly, Te, Yao, Velazco, Voltaire A., and Warneke, Thorsten
- Subjects
Greenhouse gases ,Carbon dioxide ,Climate change ,Remote sensing - Abstract
A better understanding of greenhouse gas surface sources and sinks is required in order to address the global challenge of climate change. Spaceborne remote estimations of greenhouse gas atmospheric concentrations can offer the global coverage that is necessary to improve the constraint on their fluxes, thus enabling a better monitoring of anthropogenic emissions. In this work, we introduce the Adaptable 4A Inversion (5AI) inverse scheme that aims to retrieve geophysical parameters from any remote sensing observation. The algorithm is based on Bayesian optimal estimation relying on the Operational version of the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer forward model along with the Gestion et Étude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information (GEISA) spectroscopic database. Here, the 5AI scheme is applied to retrieve the column-averaged dry-air mole fraction of carbon dioxide (XCO2) from measurements performed by the Orbiting Carbon Observatory-2 (OCO-2) mission, and uses an empirically corrected absorption continuum in the O2 A-band. For airmasses below 3.0, XCO2 retrievals successfully capture the latitudinal variations of CO2, as well as its seasonal cycle and long-term increasing trend. Comparison with ground-based observations from the Total Carbon Column Observing Network (TCCON) yields a difference of 1.33 ± 1.29 ppm, which is similar to the standard deviation of the Atmospheric CO2 Observations from Space (ACOS) official products. We show that the systematic differences between 5AI and ACOS results can be fully removed by adding an average calculated – observed spectral residual correction to OCO-2 measurements, thus underlying the critical sensitivity of retrieval results to forward modelling. These comparisons show the reliability of 5AI as a Bayesian optimal estimation implementation that is easily adaptable to any instrument designed to retrieve column-averaged dry-air mole fractions of greenhouse gases. This work has received funding from CNES and CNRS.
- Published
- 2020
34. PREFACE: THE 2021 EDITION OF THE XXIVTH ISPRS CONGRESS.
- Author
-
Mallet, C., Lafarge, F., Poreba, M., Wu, T., Bahl, G., Yu, M., Garioud, A., Chen, Y., Jiang, S., Yang, M. Y., and Paparoditis, N.
- Subjects
DEEP learning ,BISTATIC radar ,REMOTE sensing ,TIME series analysis - Published
- 2021
- Full Text
- View/download PDF
35. Computational Intelligence in Remote Sensing.
- Author
-
Wu, Yue, Gong, Maoguo, Miao, Qiguang, and Qin, Kai
- Subjects
DEEP learning ,COMPUTATIONAL intelligence ,IMAGE recognition (Computer vision) ,OBJECT recognition (Computer vision) ,REMOTE sensing ,REMOTE-sensing images ,INTELLIGENT control systems ,DISTANCE education - Abstract
This document, titled "Computational Intelligence in Remote Sensing," discusses the application of computational intelligence (CI) methods in the field of remote sensing. It highlights recent research and progress in this area, categorizing the papers into four sections: computational intelligence methods in hyperspectral remote sensing images, object detection techniques in remote sensing images, deep learning approaches in remote sensing image classification, and intelligent optimization and control in satellite image applications. The document emphasizes the potential of CI in addressing the challenges of remote sensing and encourages further interdisciplinary cooperation to solve real-world problems. The authors express their gratitude to the contributors and highlight the achievements of the research papers in this journal. [Extracted from the article]
- Published
- 2023
- Full Text
- View/download PDF
36. 1991 ACSM-ASPRS Annual Convention, Baltimore, MD, Mar. 25-29, 1991, Technical Papers. Vol. 3 - Remote Sensing
- Published
- 1991
37. Automated geometric precise correction of medium remote sensing images based on ASTER global digital elevation model.
- Author
-
Wang, Yanxia, Jiangxia, Ye, Chuan, Chen, and Zhou, Ruliang
- Subjects
ASTER (Advanced spaceborne thermal emission & reflection radiometer) ,DIGITAL elevation models ,REMOTE-sensing images ,NATURAL resources management ,ELECTRONIC paper ,THEMATIC mapper satellite ,REMOTE sensing - Abstract
Accurate and unified information from the increasingly remote sensing (RS) scenes is important for RS applications in multi-sectoral association services of natural resource management. However, these applications in mountain areas are limited by the challenging issues of random geometric distortions and erroneous spatial associations. The paper introduces digital elevation model (DEM) maps as a unified geographic reference to search and match homonymy ground points (HGPs). The proposed computer-based procedure was tested with Landsat TM, ETM and HJ-1B satellite images using ASTER global DEM in the Longitudinal Rang-gorge Valley Region of Southwest China. 1322, 3551 and 694 pairs of HGPs were identified and acquired the geometric accuracies with 43 m (TM), 14 m (ETM) and 123 m (HJ), respectively. The deviations are significantly reduced and the disjoint ground objects are matched. The study satisfies the application requirement of multispectral satellite imagery with less labour and time costs. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
38. Road Network Extraction Methods from Remote Sensing Images: A Review Paper.
- Author
-
Patel, Miral J. and KotharI, Ashish
- Subjects
REMOTE sensing ,NAUTICAL charts ,EARTH (Planet) ,URBAN planning ,IMAGE sensors ,OPTICAL remote sensing - Abstract
Remote Sensing images are consists of photographs of Earth or other planets captured by means of satellites, helicopter, rocket, drone etc.. The quality of remote sensing images depends on sensor, camera used to capture images and number of bands. Due to repaid development of technologies made possible to access very high resolution remote sensing images through Quick Bird, Ikonos and many more sources. The applications of high resolution remote sensing images mainly in agriculture, geology, forestry, regional planning, geographic map updating and in the military. Extensive investigation has been proposed to detect road features from remote sensing images. Roads are the backbone and essential modes of transportation, providing many different supports for human civilization. The research of road extraction is of great significance for traffic management, city planning, road monitoring, GPS navigation and map updating. To identify and distinguish roads elements from remote sensing images which have similar spectral characteristics type background objects like buildings, rivers, and trees is a challenging task. This paper presents a summary of various road network detection methods from Remote Sensing (RS) images with respect to resolution of test and training images, accuracy, road features, advantages and limitation of method. It also gives information about recent approaches to extract road network from remote sensing images. [ABSTRACT FROM AUTHOR]
- Published
- 2022
39. The Caltech-NRAO Stripe 82 Survey (CNSS) Paper II: On-The-Fly Mosaicing Methodology
- Author
-
Dale A. Frail, K. Golap, Bryan J. Butler, Amy Kimball, Kunal Mooley, Steven T. Myers, and Gregg Hallinan
- Subjects
Physics ,High Energy Astrophysical Phenomena (astro-ph.HE) ,010308 nuclear & particles physics ,On the fly ,FOS: Physical sciences ,Astronomy and Astrophysics ,01 natural sciences ,Methods observational ,Space and Planetary Science ,0103 physical sciences ,Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena ,010303 astronomy & astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Remote sensing - Abstract
Telescope slew and settle time markedly reduces the efficiency of wide-field multi-epoch surveys for sensitive interferometers with small fields of view. The overheads can be mitigated through the use of On-the-Fly Mosaicing (OTFM), where the the antennas are driven at a non-sidereal rate and visibilities are recorded continuously. Here we introduce the OTFM technique for the VLA, and describe its implementation for the Caltech-NRAO Stripe 82 Survey (CNSS), a dedicated 5-epoch survey for slow transients at S band (2-4 GHz). We also describe the OTFSim tool for planning dynamically-scheduled OTFM observations on the VLA, the latest imaging capabilities for OTFM in CASA, and present a comparison of OTFM observations with pointed observations. Using the subset of our observations from the CNSS pilot and final surveys, we demonstrate that the wide-band and wide-field OTFM observations with the VLA can be imaged accurately, and that this technique offers a more efficient alternative to standard mosaicing for multi-epoch shallow surveys such as the CNSS and the VLA Sky Survey (VLASS). We envisage that the new OTFM mode will facilitate new synoptic surveys and high-frequency mapping experiments on the VLA., 15 pages, 14 figures, Accepted for publication in ApJ
- Published
- 2018
40. Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II.
- Author
-
Jeon, Gwanggil
- Subjects
REMOTE sensing ,MACHINE learning ,ARTIFICIAL neural networks ,DEEP learning ,ARTIFICIAL intelligence ,DISTANCE education - Abstract
This document is a summary of a special issue on advanced machine learning and deep learning techniques for remote sensing. The issue includes 16 research papers that cover a range of topics, including hyperspectral image classification, moving point target detection, radar echo extrapolation, and remote sensing object detection. Each paper introduces a novel approach or model and provides extensive testing and evaluation to demonstrate its effectiveness. The insights shared in this special issue are expected to contribute to future advancements in artificial intelligence-based remote sensing research. [Extracted from the article]
- Published
- 2024
- Full Text
- View/download PDF
41. Remote Sensing of Forests in Bavaria: A Review.
- Author
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Coleman, Kjirsten, Müller, Jörg, and Kuenzer, Claudia
- Subjects
REMOTE sensing ,BARK beetles ,FOREST monitoring ,FOREST management ,FOREST reserves ,SPACE-based radar ,PLANT phenology ,DROUGHTS - Abstract
In recent decades, climatic pressures have altered the forested landscape of Bavaria. Widespread loss of trees has unevenly impacted the entire state, of which 37% is covered by forests (5% more than the national average). In 2018 and 2019—due in large part to drought and subsequent insect infestations—more tree-covered areas were lost in Bavaria than in any other German state. Moreover, the annual crown condition survey of Bavaria has revealed a decreasing trend in tree vitality since 1998. We conducted a systematic literature review regarding the remote sensing of forests in Bavaria. In total, 146 scientific articles were published between 2008 and 2023. While 88 studies took place in the Bavarian Forest National Park, only five publications covered the whole of Bavaria. Outside of the national park, the remaining 2.5 million hectares of forest in Bavaria are understudied. The most commonly studied topics were related to bark beetle infestations (24 papers); however, few papers focused on the drivers of infestations. The majority of studies utilized airborne data, while publications utilizing spaceborne data focused on multispectral; other data types were under-utilized- particularly thermal, lidar, and hyperspectral. We recommend future studies to both spatially broaden investigations to the state or national scale and to increase temporal data acquisitions together with contemporaneous in situ data. Especially in understudied topics regarding forest response to climate, catastrophic disturbances, regrowth and species composition, phenological timing, and in the sector of forest management. The utilization of remote sensing data in the forestry sector and the uptake of scientific results among stakeholders remains a challenge compared to other heavily forested European countries. An integral part of the Bavarian economy and the tourism sector, forests are also vital for climate regulation via atmospheric carbon reduction and land surface cooling. Therefore, forest monitoring remains centrally important to attaining more resilient and productive forests. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
42. Comprehensive Analysis of Temporal–Spatial Fusion from 1991 to 2023 Using Bibliometric Tools.
- Author
-
Cui, Jiawei, Li, Juan, Gu, Xingfa, Zhang, Wenhao, Wang, Dong, Sun, Xiuling, Zhan, Yulin, Yang, Jian, Liu, Yan, and Yang, Xiufeng
- Subjects
SCIENTIFIC literature ,SURFACE dynamics ,BIBLIOMETRICS ,MULTISENSOR data fusion ,DEEP learning ,IMAGE fusion ,REMOTE sensing - Abstract
Due to budget and sensor technology constraints, a single sensor cannot simultaneously provide observational images with both a high spatial and temporal resolution. To solve the above problem, the spatiotemporal fusion (STF) method was proposed and proved to be an indispensable tool for monitoring land surface dynamics. There are relatively few systematic reviews of the STF method. Bibliometrics is a valuable method for analyzing the scientific literature, but it has not yet been applied to the comprehensive analysis of the STF method. Therefore, in this paper, we use bibliometrics and scientific mapping to analyze the 2967 citation data from the Web of Science from 1991 to 2023 in a metrological manner, covering the themes of STF, data fusion, multi-temporal analysis, and spatial analysis. The results of the literature analysis reveal that the number of articles displays a slow to rapid increase during the study period, but decreases significantly in 2023. Research institutions in China (1059 papers) and the United States (432 papers) are the top two contributors in the field. The keywords "Sentinel", "deep learning" (DL), and "LSTM" (Long Short-Term Memory) appeared most frequently in the past three years. In the future, remote sensing spatiotemporal fusion research can address more of the limitations of heterogeneous landscapes and climatic conditions to improve fused images' accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
43. A Disposable Planar Paper-Based Potentiometric Ion-Sensing Platform.
- Author
-
Hu, Jinbo, Stein, Andreas, and Bühlmann, Philippe
- Subjects
- *
ION selective electrodes , *POTENTIOMETRY , *MICROFLUIDICS , *REMOTE sensing , *ELECTROCHEMICAL analysis - Abstract
Ion-selective electrodes (ISEs) are widely used tools for fast and accurate ion sensing. Herein their design is simplified by embedding a potentiometric cell into paper, complete with an ISE, a reference electrode, and a paper-based microfluidic sample zone that offer the full function of a conventional ISE setup. The disposable planar paper-based ion-sensing platform is suitable for low-cost point-of-care and in-field testing applications. The design is symmetrical and each interfacial potential within the cell is well defined and reproducible, so that the response of the device can be theoretically predicted. For a demonstration of clinical applications, paper-based Cl− and K+ sensors are fabricated with highly reproducible and linear responses towards different concentrations of analyte ions in aqueous and biological samples. The single-use devices can be fabricated by a scalable method, do not need any pretreatment prior to use, and only require a sample volume of 20 μL. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
44. Calibration of a flatbed scanner for traceable paper area measurement
- Author
-
J. Kangasrääsiö and Björn Hemming
- Subjects
Scanner ,business.industry ,Computer science ,Applied Mathematics ,Area measurement ,Optics ,Paper sample ,Calibration ,business ,Instrumentation ,Engineering (miscellaneous) ,Radiometric calibration ,Uncertainty analysis ,Remote sensing - Abstract
In this note, we describe a method to calibrate a flatbed scanner to perform traceable paper sample area measurements. Also a detailed uncertainty analysis is presented. The achieved relative uncertainty at the 95% confidence level of the area measurement is under 0.1%. Described calibration procedures can also be used in other applications where dimensional measurements are performed with a flatbed scanner.
- Published
- 2009
45. Withdrawn Paper
- Author
-
A. K. Karwel and Ireneusz Ewiak
- Subjects
Geography ,Mean squared error ,business.industry ,Contour line ,Reference data (financial markets) ,Global Positioning System ,Calibration ,Terrain ,Raised-relief map ,Shuttle Radar Topography Mission ,business ,Remote sensing - Abstract
In order to determine the absolute accuracy of SRMT model on Polish area the research work has been performed on the basis of reference terrain profiles measured by GPS technique. The flat and hilly terrains were examined in administrative borders of fourteen provinces. It was not reference data for mountainous terrains. For the analysis of accuracy of the SRTM model 332 terrain profiles and 29,308 points have been measured. The accuracy of SRTM model presented by RMSE was computed on the basic of the height differences between profiles and models homolog points. The analyses have been done in Modular GIS Environment Intergraph software. The absolute accuracy of SRTM model on Polish area RMSE Z = 2.9 m for flat regions and RMSE Z = 5.4 m for hilly regions were achieved. It was affirmed that this accuracy is depend on the resolution of grid points of DEM and terrain inclination. The statistic estimation showed systematic shift between SRTM data and reference profiles. The RMSE Z without systematic part was found to be 1.0 m for flat regions and 2.7 m for hilly regions of Polish area. The data of SRTM level DTED-1 could be used for DEM and contour lines generation on the topographic maps in scales smaller then 1:50,000 and for SRTM system calibration.
- Published
- 2018
46. Grey Information Relational Estimation Model of Soil Organic Matter Content Based on Hyperspectral data.
- Author
-
Hong Che, Xican Li, and Guozhi Xu
- Subjects
SUPPORT vector machines ,INFORMATION theory ,SQUARE root ,REMOTE sensing ,ORGANIC compounds - Abstract
In order to overcome the uncertainty in hyperspectral estimation of soil organic matter content, this paper aim to establish a grey information relational estimation model of soil organic matter content based on hyperspectral data and grey information theory. Based on 76 samples in Zhangqiu District of Jinan City, Shandong province of China, the spectral data are first transformed by the nine methods such as square root, first order differentiation of the logarithm reciprocal, and so on, the correlation coefficient is calculated, and the estimation factors are selected by using the principle of great maximum correlation. Then, according to the principle of increasing information and taking maximum method, the spectral estimation factors of each sample are sorted from small to large, and the grey information sequence is formed, and the grey relational estimation model of soil organic matter content is constructed based on the information chain. Finally, the estimation results based on different information chains are fused twice, and compared with the commonly used estimation methods. The results of the method in this paper show that the average relative error of the 12 test samples is 5.576%, and the determination coefficient R2 is 0.934, and the estimation accuracy is higher than that of commonly used methods such as multiple linear regression, BP neural network and support vector machine. The results show that the grey information relational estimation model using hyperspectral data proposed in this paper is feasible and effective, and it provides a new way for hyperspectral estimation of soil organic matter and other soil properties. [ABSTRACT FROM AUTHOR]
- Published
- 2024
47. DIMENSION EXTRACTION OF REMOTE SENSING IMAGES IN TOPOGRAPHIC SURVEYING BASED ON NONLINEAR FEATURE ALGORITHM.
- Author
-
YANI WANG, YINPENG ZHOU, and BO WANG
- Subjects
FEATURE extraction ,REMOTE sensing ,TOPOGRAPHIC maps ,SURVEYING (Engineering) ,DISTRIBUTION (Probability theory) - Abstract
In order to solve the problem of inaccurate image feature extraction caused by traditional extraction methods, this paper proposes a remote sensing image size extraction method based on nonlinear multi feature fusion for topographic maps. In this paper, SVM and DS evidence theory are combined to extract image features and classify pre processed remote sensing images. Based on the classification results, basic probability distributions are constructed, and a DS fusion algorithm using matrix analysis is introduced to simplify the complexity of decision level fusion algorithms; We use a multi feature fusion algorithm based on feature proximity, using the proximity vector formed by the attraction between the feature vector and the original graphics pattern as the fusion feature to complete the extraction of remote sensing image features. The simulation results show that after using this method, its soft threshold classifier outputs 0.9865, 0.9965, 0.7852, 0.9921, 0.9847, 0.6879, -0.5898, -0.5678, -0.6897, -0.4785. The algorithm in this paper can distinguish the shape features of terrain images well, and can extract the features of terrain images more accurately, which has strong feasibility. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
48. Challenges Facing the Use of Remote Sensing Technologies in the Construction Industry: A Review.
- Author
-
Almohsen, Abdulmohsen S.
- Subjects
REMOTE sensing ,LITERATURE reviews ,CONSTRUCTION management ,CONSTRUCTION projects ,ENVIRONMENTAL management - Abstract
Remote sensing is essential in construction management by providing valuable information and insights throughout the project lifecycle. Due to the rapid advancement of remote sensing technologies, their use has been increasingly adopted in the architecture, engineering, and construction industries. This review paper aims to advance the understanding, knowledge base, and practical implementation of remote sensing technologies in the construction industry. It may help support the development of robust methodologies, address challenges, and pave the way for the effective integration of remote sensing into construction management processes. This paper presents the results of a comprehensive literature review, focusing on the challenges faced in using remote sensing technologies in construction management. One hundred and seventeen papers were collected from eight relevant journals, indexed in Web of Science, and then categorized by challenge type. The results of 44 exemplary studies were reported in the three types of remote sensing platforms (satellite, airborne, and ground-based remote sensing). The paper provides construction professionals with a deeper understanding of remote sensing technologies and their applications in construction management. The challenges of using remote sensing in construction were collected and classified into eleven challenges. According to the number of collected documents, the critical challenges were shadow, spatial, and temporal resolution issues. The findings emphasize the use of unmanned airborne systems (UASs) and satellite remote sensing, which have become increasingly common and valuable for tasks such as preconstruction planning, progress tracking, safety monitoring, and environmental management. This knowledge allows for informed decision-making regarding integrating remote sensing into construction projects, leading to more efficient and practical project planning, design, and execution. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
49. Remote Sensing and Landsystems in the Mountain Domain: FAIR Data Accessibility and Landform Identification in the Digital Earth.
- Author
-
Whalley, W. Brian
- Subjects
GLACIAL melting ,LANDFORMS ,REMOTE-sensing images ,ROCK concerts ,REMOTE sensing ,ROCK glaciers - Abstract
Satellite imagery has become a major source for identifying and mapping terrestrial and planetary landforms. However, interpretating landforms and their significance, especially in changing environments, may still be questionable. Consequently, ground truth to check training models, especially in mountainous areas, can be problematic. This paper outlines a decimal format, [dLL], for latitude and longitude geolocation that can be used for model interpretation and validation and in data sets. As data have positions in space and time, [dLL] defined points, as for images, can be associated with metadata as nodes. Together with vertices, metadata nodes help build 'information surfaces' as part of the Digital Earth. This paper examines aspects of the Critical Zone and data integration via the FAIR data principles, data that are; findable, accessible, interoperable and re-usable. Mapping and making inventories of rock glacier landforms are examined in the context of their geomorphic and environmental significance and the need for geolocated ground truth. Terrestrial examination of rock glaciers shows them to be predominantly glacier-derived landforms and not indicators of permafrost. Remote-sensing technologies used to track developing rock glacier surface features show them to be climatically melting glaciers beneath rock debris covers. Distinguishing between glaciers, debris-covered glaciers and rock glaciers over time is a challenge for new remote sensing satellites and technologies and shows the necessity for a common geolocation format to report many Earth surface features. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
50. Progress in Remote Sensing and GIS-Based FDI Research Based on Quantitative and Qualitative Analysis.
- Author
-
Li, Zifeng
- Subjects
GLOBAL value chains ,LITERATURE reviews ,FOREIGN investments ,REMOTE sensing ,REGIONAL development ,GEOGRAPHIC information systems ,SCIENTOMETRICS - Abstract
Foreign direct investment (FDI) by transnational companies (TNCs) is the primary indicator of urban globalization. The initial publication on the topic of remote sensing and geographic information system-based urban globalization research was published in 1981. However, the number of publications on this topic remains relatively limited. Despite some advances in the field in recent decades, there is currently no comprehensive review of related research, and it is not clear how the different perspectives and views have been developed. Furthermore, previous literature reviews on the utilization of remote sensing and GIS technology in urban development have predominantly employed quantitative methodologies, which has resulted in a paucity of qualitative analysis. In order to address these shortcomings, this paper employs a mixed-methods approach, integrating quantitative and qualitative analyses. This entails the utilization of a combination of the scientometric method and a qualitative literature review method. The findings are as follows: (1) The number of publications is still relatively limited, and research in this area is still in its infancy. (2) Some of the articles are evidently interdisciplinary in nature. (3) Progress has been made in terms of geographic visualization of FDI, macro-environmental research at different scales, global value chains, the micro-geography of TNCs, and globalization of the geo-information industry. (4) The spatial and temporal development pattern, location, and accessibility of FDI have constituted a significant area of research interest in the past. Similarly, the relationships between FDI and regional development, urban growth, land use, and environmental change have emerged as prominent research directions. China's Belt and Road Initiative is an emerging popular topic. (5) In recent years, there has been a notable increase in the number of papers employing multi-source data and multi-method approaches. (6) The extent of research collaborations between countries is relatively limited, with the majority of such collaborations occurring within the past five years. Finally, based on these research findings, this paper suggests future research directions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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