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1. INFLUENCE OF ANTHROPOGENIC FACTORS ON THE SOIL CONDITION OF THE N.V. TSITSIN MAIN BOTANICAL GARDEN OF RAS

Author

O.V. Martynenko, V.N. Karminov, and P.V. Ontikov

Subjects
bulk density of soil, anthropogenic compaction, soils of botanical gardens, gbs ras, Forestry, SD1-669.5
Abstract

The territory of the N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences is subjected to significant anthropogenic stress, which has a negative effect on the state of valuable collections of tree and shrub species. Soil compaction is one of the most dangerous consequences of anthropogenic impact, expressed in increased recreational impact. In this context, the botanical garden was very concerned about the deterioration of the collection of elaeagnus species. Therefore, the soils on which these plants grow were chosen as the object of research. On this territory, three sampling plots with different degrees of anthropogenic impact were laid. Sampling plot No. 1 had the maximum anthropogenic impact. The area of medium anthropogenic impact was represented by the sampling plot No. 2. The sampling plot No. 3 where the anthropogenic impact was minimal was a reference plot. All the studied soils were classified as soddy-slightly podzolic medium loamy soils (Umbric Albeluvisols Abruptic). Fundamental differences in the morphological properties of the studied soils were that the soils located in the area of maximum anthropogenic impact, starting from a depth of 40 cm, showed gley spots, which were not found in other soils. Increased bulk density of soil in undisturbed state corresponded to increased anthropogenic impact. This led to a decrease in total pore space of soil. Soil compaction contributed to a noticeable decrease in gravimetric soil water content in upper horizons. At the same time, worsening of subsurface runoff contributed to gley-forming processes in the illuvial part of the profile. Cluster analysis revealed good grouping of the dependence of the studied indicators on the severity of anthropogenic impact. The studied indicators were separated depending on their type and position in the profile. The conducted study made it possible to assess the essential physical and hydrophysical properties of soils on the part of the territory of the Main Botanical garden of RAS that is occupied by the valuable collection of elaeagnus. Based on the results of the study, a set of measures is proposed that can significantly reduce the identified negative effects and improve the state of both the studied soils and stands growing on them in general.

Published
2021
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2. Influence of anthropogenic factors on the soil condition of the N.V. Tsitsin Main botanical garden, RAS

Author

O.V. Martynenko, V.N. Karminov, and P.V. Ontikov

Subjects
soil density, anthropogenic compaction, soils of botanical gardens, main botanical garden ras, Forestry, SD1-669.5
Abstract

Territory of N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences is subjected to significant anthropogenic stress, which affects the state of valuable collections of tree and shrub species. The state of the collection of suckers is of particular concern, since the territory where they are located is exposed to anthropogenic effects of various intensities. One of the most dangerous consequences of anthropogenic impact is soil compaction. To study these negative phenomena, three sampling areas were laid, differing in the degree of anthropogenic impact. Sampling area No. 1 characterized the zone of maximum anthropogenic impact. The zone of moderate anthropogenic impact was represented by the sampling area No. 2. Sampling area No. 3 acted as a control, where the anthropogenic impact was the smallest. All studied soils were assigned to soddy-slightly podzolic medium loamy soils. Fundamental differences in the morphological properties of the studied soils consisted in the fact that gley spots were observed from a depth of 40 cm in soils located in the zone of maximum anthropogenic impact, unlike other soils. An increase in the values ​​of soil density in undisturbed state corresponded to an increase in the degree of anthropogenic impact. This phenomenon led to a decrease in the total soil porosity. Soil compaction contributed to a marked decrease in moisture content in the upper horizons. At the same time, the deterioration of subsoil runoff contributed to the emergence of gley-forming processes in the illuvial part of the profile. The use of cluster analysis methods showed a good grouping of the dependence of the studied indicators on the degree of anthropogenic impact. There was a separation of the studied indicators depending on their type and position in the profile. The study made it possible to evaluate the most important physical and water-physical properties of soils of a part of the territory of the Main Botanical Garden of the Russian Academy of Sciences, occupied by a valuable collection of suckers. Based on the results of the study, a set of measures is proposed that can significantly reduce the revealed negative effects and generally improve the condition of the studied soils and plantings growing on them.

Published
2020
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3. Forest soil resources analysis in north-eastern Moscow region based on geoinformation technologies

Author

Centrlesproekt Roslesinforg, O.V. Martynenko, Bmstu, V.N. Karminov, P.V. Ontikov, and A.N. Maksimova

Subjects
Soil resources, Geography, Water resource management
Abstract

The results of processing and analysis of spatial and temporal information about soils and forest stands on geoinformation technologies are presented. Spatial analysis of combined soil and forestry data showed that the most productive plantings were confined to sod-podzolic automorphic soils. In the main coniferous forest-forming species, such as European spruce and pine, when signs of hydromorphism appear, productivity significantly decreases. Among the studied plantings, the lowest-yielding ones are formed on swamp-podzolic soils. Retrospective analysis revealed a noticeable improvement in productivity and breed composition that occurred in the late 1970s and early 1980s. The assessment of the current situation shows that there is a certain reserve for increasing the productivity of existing forest stands, associated with a more effective use of the natural fertility of forest soils.

Published
2020
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4. Influence of anthropogenic factors on the soil condition of the N.V. Tsitsin Main botanical garden, RAS

Author

P.V. Ontikov, Federal forestry agency Fsbi «Roslesinforg» «Centrlesproekt», V.N. Karminov, and O.V. Martynenko

Subjects
Geography, anthropogenic compaction, main botanical garden ras, lcsh:SD1-669.5, soil density, Botanical garden, Forestry, lcsh:Forestry, soils of botanical gardens
Abstract

Territory of N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences is subjected to significant anthropogenic stress, which affects the state of valuable collections of tree and shrub species. The state of the collection of suckers is of particular concern, since the territory where they are located is exposed to anthropogenic effects of various intensities. One of the most dangerous consequences of anthropogenic impact is soil compaction. To study these negative phenomena, three sampling areas were laid, differing in the degree of anthropogenic impact. Sampling area No. 1 characterized the zone of maximum anthropogenic impact. The zone of moderate anthropogenic impact was represented by the sampling area No. 2. Sampling area No. 3 acted as a control, where the anthropogenic impact was the smallest. All studied soils were assigned to soddy-slightly podzolic medium loamy soils. Fundamental differences in the morphological properties of the studied soils consisted in the fact that gley spots were observed from a depth of 40 cm in soils located in the zone of maximum anthropogenic impact, unlike other soils. An increase in the values ​​of soil density in undisturbed state corresponded to an increase in the degree of anthropogenic impact. This phenomenon led to a decrease in the total soil porosity. Soil compaction contributed to a marked decrease in moisture content in the upper horizons. At the same time, the deterioration of subsoil runoff contributed to the emergence of gley-forming processes in the illuvial part of the profile. The use of cluster analysis methods showed a good grouping of the dependence of the studied indicators on the degree of anthropogenic impact. There was a separation of the studied indicators depending on their type and position in the profile. The study made it possible to evaluate the most important physical and water-physical properties of soils of a part of the territory of the Main Botanical Garden of the Russian Academy of Sciences, occupied by a valuable collection of suckers. Based on the results of the study, a set of measures is proposed that can significantly reduce the revealed negative effects and generally improve the condition of the studied soils and plantings growing on them.

Published
2020
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6. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Author

Cintia Rodrigues de Souza, Ivan Lakyda, Ulrik Ilstedt, Luzmila Arroyo, Jean Claude Konan Koffi, Dennis Del Castillo Torres, Klaus Scipal, Bruno Hérault, Olga V. Trefilova, Krzysztof Stereńczak, Rodolfo Vásquez Martínez, Pulchérie Bissiengou, John T. Woods, Petro Lakyda, Andrii Bilous, Olga V. Moroziuk, Sergey Vasiliev, Casimiro Mendoza, C. Dresel, Jason Vleminckx, José Antonio Manzanera, Thales A.P. West, Ted R. Feldpausch, Hervé Memiaghe, Estella F. Vedrova, Maria Shchepashchenko, Linda See, Hans ter Steege, Samsudin Musa, Nicolas Labrière, Eurídice N. Honorio Coronado, Maxime Réjou-Méchain, Christoph Perger, Terry L. Erwin, Alexei Aleinikov, Ervan Rutishauser, Hannsjorg Woell, Irie Casimir Zo-Bi, Simon L. Lewis, Marcus Vinicio Neves d'Oliveira, Mikhail A. Kuznetsov, N. V. Lukina, Nataly Ascarrunz, Justyna Szatniewska, Lucas Mazzei, Dilshad M. Danilina, Wannes Hubau, V.N. Karminov, Alejandro Araujo-Murakami, Toshinori Okuda, Steffen Fritz, Vladimir G. Radchenko, Edson Vidal, Raisa K. Matyashuk, Martin J. P. Sullivan, Bonaventure Sonké, Toshihiro Yamada, Maksym Matsala, Viktor V. Ivanov, Timothy J. Killeen, Mikhail D. Evdokimenko, John R. Poulsen, Hermann Taedoumg, David F. R. P. Burslem, Zamah Shari Nur Hajar, K. S. Bobkova, Nicholas J. Berry, C. Amani, Eleneide Doff Sotta, Sergey V. Verhovets, Caroline Bedeau, Celso Paulo de Azevedo, Yadvinder Malhi, Ernest Gothard-Bassébé, Verginia Wortel, Kenneth Rodney, N. E. Shevchenko, Antonio García-Abril, Milton Kanashiro, Marcelino Carneiro Guedes, Timothy R. Baker, Maureen Playfair, Leonid Krivobokov, Laurent Descroix, Elena B. Tikhonova, Ernest G. Foli, Sylvie Gourlet-Fleury, Kofi Affum-Baffoe, Keith C. Hamer, Anatoly Shvidenko, Dmitry Schepaschenko, Alfonso Alonso, Olga Martynenko, M. E. Konovalova, Svitlana Bilous, Jan Krejza, Florian Hofhansl, Jan Falck, Luis Valenzuela Gamarra, Abel Monteagudo Mendoza, Stuart J. Davies, John Armston, Vincent A. Vos, Roel J. W. Brienen, Oliver L. Phillips, Andrey Osipov, Wolfgang Wanek, Farida Herry Susanty, Jérôme Chave, Robin B. Foster, Richard Condit, Anders Karlsson, Lilian Blanc, Juan Carlos Licona, Niro Higuchi, Ademir Roberto Ruschel, Stephen P. Hubbell, Stephan A. Pietsch, Radomir Bałazy, Marisol Toledo, Ben Hur Marimon Junior, Ruben Valbuena, Richard Lucas, Luís Cláudio de Oliveira, P. V. Ontikov, Nadezhda A. Vladimirova, Daniel Lussetti, Florian Kraxner, Aida Cuni-Sanchez, Andes Hamuraby Rozak, Foma K. Vozmitel, Maria Gornova, Marcos Silveira, Plinio Sist, A. V. Gornov, Tatyana Braslavskaya, Haruni Krisnawati, Leonid Stonozhenko, D. I. Nazimova, James Singh, Géraldine Derroire, Liudmila Mukhortova, Beatriz Schwantes Marimon, Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Smithsonian Tropical Research Institute, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Forêts et Sociétés (Cirad-Es-UPR 105 Forêts et Sociétés), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Commissariat général du Plan (CGP), Premier ministre, AgroParisTech, Mensurat Unit, Forestry Research Institute of Ghana, Smithsonian Conservation Biology Institute, Universidad Autonoma Gabriel René Moreno (UAGRM), University of Maryland [College Park], University of Maryland System, Missouri Botanical Garden (USA), Instituto Boliviano de Investigacion Forestal (IBIF), Universidade Federal do Espírito Santo (UFES), ONF - Direction régionale de la Guyane [Cayenne], Office National des Forêts (ONF), Centre national de la recherche scientifique et technologique (CENAREST), CENAREST, School of Geography [Leeds], University of Leeds, Dept Geog, University College of London [London] (UCL), Brazilian Agricultural Research Corporation (Embrapa), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Embrapa Amapa, Forestry Research and Development Agency (FORDA), Instituto Nacional de Pequisas da Amazônia, Instituto National de Pequisas da Amazonia Brazil, Royal Museum for Central Africa [Tervuren] (RMCA), Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Laboratoire de Mathématiques de Neuchâtel, Fond National Suisse, International Institute for Applied Systems Analysis (IIASA), Moscow Institute of Physics and Technology [Moscow] (MIPT), Department of Geography and Earth Sciences (DGES), Aberystwyth University, Environmental Change Institute, University of Oxford [Oxford], Universidade Federal do Mato Grosso (UFMT), Instituto de Manejo Forestal, Institute of Silviculture, Department of Forest and Soil Sciences, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Institute for Evolutionary Ecology (IEE), National Academy of Sciences of Ukraine (NASU), CarboForExpert, Universidade Federal do Acre (UFAC), Université Libre de Bruxelles [Bruxelles] (ULB), University of Yaoundé [Cameroun], Naturalis Biodiversity Center [Leiden], Escola Superior de Agricultura Luiz de Queiroz, University of São Paulo, Department of Integrative Biology [Berkeley] (IB), University of California [Berkeley], University of California-University of California, Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Graduate School of Integrated Arts and Sciences, Hiroshima University, DMITRY SCHEPASCHENKO, SAMSUDIN MUSA, DINA I. NAZIMOVA, TOSHINORI OKUDA, PETR V. ONTIKOV, ANDREY F. OSIPOV, STEPHAN PIETSCH, MAUREEN PLAYFAIR, JOHN POULSEN, VLADIMIR G. RADCHENKO, KENNETH RODNEY, ANDES H. ROZAK, ERVAN RUTISHAUSER, LINDA SEE, MARIA SHCHEPASHCHENKO, RAISA K. MATYASHUK, MAKSYM MATSALA, OLGA V. MARTYNENKO, RODOLFO VASQUEZ MARTINEZ, BEN HUR MARIMON JUNIOR, BEATRIZ MARIMON, JOSÉ ANTONIO MANZANERA, FLORIAN HOFHANSL, MARCELINO CARNEIRO GUEDES, CPAF-AP, LUCAS JOSE MAZZEI DE FREITAS, CPATU, PETRO I. LAKYDA, JUAN CARLOS LICONA, JÉRÔME CHAVE, OLIVER L. PHILLIPS, SIMON L. LEWIS, STUART J. DAVIES, MAXIME RÉJOU-MÉCHAIN, PLINIO SIST, KLAUS SCIPAL, CHRISTOPH PERGER, BRUNO HERAULT, NICOLAS LABRIÈRE, KOFI AFFUM-BAFFOE, ALEXEI ALEINIKOV, ALFONSO ALONSO, CHRISTIAN AMANI, ALEJANDRO ARAUJO-MURAKAMI, JOHN ARMSTON, LUZMILA ARROYO, NATALY ASCARRUNZ, CELSO PAULO DE AZEVEDO, CPAA, TIMOTHY BAKER, RADOMIR BALAZY, CAROLINE BEDEAU, NICHOLAS BERRY, ANDRII M. BILOUS, SVITLANA YU. BILOUS, PULCHÉRIE BISSIENGOU, LILIAN BLANC, KAPITOLINA S. BOBKOVA, TATYANA BRASLAVSKAYA, ROEL BRIENEN, DAVID F. R. P. BURSLEM, RICHARD CONDIT, AIDA CUNI-SANCHEZ, DILSHAD DANILINA, DENNIS DEL CASTILLO TORRES, GÉRALDINE DERROIRE, LAURENT DESCROIX, ELENEIDE DOFF SOTTA, MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC, CHRISTOPHER DRESEL, TERRY ERWIN, MIKHAIL D. EVDOKIMENKO, JAN FALCK, TED R. FELDPAUSCH, ERNEST G. FOLI, ROBIN FOSTER, STEFFEN FRITZ, ANTONIO DAMIAN GARCIA-ABRIL, ALEKSEY GORNOV, MARIA GORNOVA, ERNEST GOTHARD-BASSÉBÉ, SYLVIE GOURLET-FLEURY, KEITH C. HAMER, FARIDA HERRY SUSANTY, NIRO HIGUCHI, EURÍDICE N. HONORIO CORONADO, WANNES HUBAU, STEPHEN HUBBELL, ULRIK ILSTEDT, VIKTOR V. IVANOV, MILTON KANASHIRO, CPATU, ANDERS KARLSSON, VIKTOR N. KARMINOV, TIMOTHY KILLEEN, JEAN-CLAUDE KONAN KOFFI, MARIA KONOVALOVA, FLORIAN KRAXNER, JAN KREJZA, HARUNI KRISNAWATI, LEONID V. KRIVOBOKOV, MIKHAIL A. KUZNETSOV, IVAN LAKYDA, RICHARD M. LUCAS, NATALIA LUKINA, DANIEL LUSSETTI, YADVINDER MALHI, NIKOLAY SHEVCHENKO, ANATOLY SHVIDENKO, MARCOS SILVEIRA, JAMES SINGH, BONAVENTURE SONKÉ, CINTIA RODRIGUES DE SOUZA, CPAA, KRZYSZTOF STERENCZAK, LEONID STONOZHENKO, MARTIN J. P. SULLIVAN, JUSTYNA SZATNIEWSKA, HERMANN TAEDOUMG, HANS TER STEEGE, ELENA TIKHONOVA, MARISOL TOLEDO, OLGA V. TREFILOVA, RUBEN VALBUENA, LUIS VALENZUELA GAMARRA, SERGEY VASILIEV, ESTELLA F. VEDROVA, SERGEY V. VERHOVETS, EDSON VIDAL, NADEZHDA A. VLADIMIROVA, JASON VLEMINCKX, VINCENT A. VOS, FOMA K. VOZMITEL, WOLFGANG WANEK, THALES A. P. WEST, HANNSJORG WOELL, JOHN T. WOODS, VERGINIA WORTEL, TOSHIHIRO YAMADA, ZAMAH SHARI NUR HAJAR, IRIÉ CASIMIR ZO-BI., LUIS CLAUDIO DE OLIVEIRA, CPAF-AC, HERVÉ MEMIAGHE, ADEMIR ROBERTO RUSCHEL, CPATU, CASIMIRO MENDOZA, ABEL MONTEAGUDO MENDOZA, OLGA V. MOROZIUK, LIUDMILA MUKHORTOVA, Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Missouri Botanical Garden, Universidade Federal do Espirito Santo (UFES), Université libre de Bruxelles (ULB), Systems Ecology, Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne = European Space Agency (ESA), Office national des forêts (ONF), University of Oxford, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Universidade de São Paulo = University of São Paulo (USP), University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)

Subjects
DYNAMICS, 0106 biological sciences, Canopy, Monitoreo de bosques, Data Descriptor, 010504 meteorology & atmospheric sciences, DIVERSITY, Biomasa, Biomassa, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 7. Clean energy, 01 natural sciences, biomasse aérienne des arbres, Forest Observation System (FOS), CARBON STORAGE, K01 - Foresterie - Considérations générales, Teledetección, Biomass, NETWORK, Greenhouse gas accounting, lcsh:Science, SDG 15 - Life on Land, Biomass (ecology), Evaluación de los recursos forestales, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Renewable energy, Computer Science Applications, aaaaaaaaaaaaaaaaaaaaa, Biogeography, Manejo Florestal, Forêt, P01 - Conservation de la nature et ressources foncières, SENSITIVITY, Statistics, Probability and Uncertainty, Banque de données, Environmental Monitoring, Sensoriamento Remoto, ABOVEGROUND BIOMASS, Information Systems, Statistics and Probability, Conservation of Natural Resources, Forest biomass, P40 - Météorologie et climatologie, Télédétection, Ecologia Florestal, Library and Information Sciences, 010603 evolutionary biology, Education, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Forest ecology, Ecosystem, RATES, atténuation des effets du changement climatique, 0105 earth and related environmental sciences, business.industry, bbbbbbbbbbbbbbbbb, 15. Life on land, cartographie des fonctions de la forêt, Climate change mitigation, Bosque tropical, 13. Climate action, Earth and Environmental Sciences, DENSITY, Remote Sensing Technology, PATTERNS, Environmental science, lcsh:Q, Physical geography, U30 - Méthodes de recherche, Réchauffement global, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), business, ccccccccccccccccccccc
Abstract

Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities., Measurement(s)above-ground biomass • organic materialTechnology Type(s)tree species census • measurement methodFactor Type(s)geographic location • tree speciesSample Characteristic - Environmentforest biomeSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9850571

Published
2019
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7. Forest Biomass Observation: Current State and Prospective

Author

P. V. Ontikov, Olga Martynenko, Dmitry Schepaschenko, V.N. Karminov, Andrey Osipov, P. Lakida, K. S. Bobkova, Steffen Fritz, C. Dresel, M. Schepaschenko, Christoph Perger, Florian Kraxner, L.V. Mukhortova, Vladimir A. Usoltsev, and Anatoly Shvidenko

Subjects
Earth observation, Forest inventory, Empirical modelling, Forest-observation-System.net, Biomass, Forestry, SD1-669.5, law.invention, forest phytomass, remote sensing, Geography, Lidar, Geo-Wiki, Remote sensing (archaeology), law, Radar, Scale (map), Remote sensing
Abstract

With this article, we provide an overview of the methods, instruments and initiatives for forest biomass observation at a global scale. We focus on the freely available information provided by both remote and in-situ observations. The advantages and limitation of various space borne methods, including optical, radar (C, L and P band) and LiDAR, as well as respective instruments available on the orbit (MODIS, Proba-V, Landsat, Sentinel-1, Sentinel-2 , ALOS PALSAR, Envisat ASAR) or expecting (BIOMASS, GEDI, NISAR, SAOCOM-CS) are discussed. We emphasize the role of in-situ methods in the development of a biomass models, providing calibration and validation of remote sensing data. We focus on freely available forest biomass maps, databases and empirical models. We describe the functionality of Biomass.Geo-Wiki.org portal, which provides access to a collection of global and regional biomass maps in full resolution with unified legend and units overplayed with high-resolution imagery. The Forest-Observation-System.net is announced as an international cooperation to establish a global in-situ forest biomass database to support earth observation and to encourage investment in relevant field-based observations and science. Prospects of unmanned aerial vehicles in the forest inventory are briefly discussed. The work was partly supported by ESA IFBN project (contract 4000114425/15/NL/FF/gp).

Published
2017

8. Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics

Author

Ian McCallum, Carl F. Salk, V.N. Karminov, Franziska Albrecht, A. P. Sokolov, M. Dürauer, Linda See, Dmytro Gilitukha, Myroslava Lesiv, Dmitry Schepaschenko, A. Bun, Florian Kraxner, Michael Obersteiner, Christoph Perger, Anatoly Shvidenko, Elena Moltchanova, P. V. Ontikov, Steffen Fritz, Maria Shchepashchenko, Shamil Maksyutov, and Sergii Kovalevskyi

Subjects
Biomass (ecology), 010504 meteorology & atmospheric sciences, Land use, business.industry, 0211 other engineering and technologies, Soil Science, Geology, 02 engineering and technology, Vegetation, Land cover, 15. Life on land, Crowdsourcing, 01 natural sciences, Remote sensing (archaeology), Agriculture, Statistics, Environmental science, Product (category theory), Computers in Earth Sciences, business, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing
Abstract

A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there is currently no global forest map that is consistent with forest statistics from FAO (Food and Agriculture Organization of the United Nations). By combining these diverse data sources into a single forest cover product, it is possible to produce a global forest map that is more accurate than the individual input layers and to produce a map that is consistent with FAO statistics. In this paper we applied geographically weighted regression (GWR) to integrate eight different forest products into three global hybrid forest cover maps at a 1 km resolution for the reference year 2000. Input products included global land cover and forest maps at varying resolutions from 30 m to 1 km, mosaics of regional land use/land cover products where available, and the MODIS Vegetation Continuous Fields product. The GWR was trained using crowdsourced data collected via the Geo-Wiki platform and the hybrid maps were then validated using an independent dataset collected via the same system. Three different hybrid maps were produced: two consistent with FAO statistics, one at the country and one at the regional level, and a “best guess” forest cover map that is independent of FAO. Independent validation showed that the “best guess” hybrid product had the best overall accuracy of 93% when compared with the individual input datasets. The global hybrid forest cover maps are available at http://biomass.geo-wiki.org .

Published
2015

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