Search

Your search keyword '"Maria Shchepashchenko"' showing total 7 results
Start Over Author "Maria Shchepashchenko"
7 results on '"Maria Shchepashchenko"'

1. Russian forest sequesters substantially more carbon than previously reported

Author

Dmitry Schepaschenko, Elena Moltchanova, Stanislav Fedorov, Victor Karminov, Petr Ontikov, Maurizio Santoro, Linda See, Vladimir Kositsyn, Anatoly Shvidenko, Anna Romanovskaya, Vladimir Korotkov, Myroslava Lesiv, Sergey Bartalev, Steffen Fritz, Maria Shchepashchenko, and Florian Kraxner

Subjects
Medicine, Science
Abstract

Abstract Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported almost no change in growing stock (+ 1.8%) and biomass (+ 0.6%). Yet remote sensing products indicate increased vegetation productivity, tree cover and above-ground biomass. Here, we challenge these statistics with a combination of recent National Forest Inventory and remote sensing data to provide an alternative estimate of the growing stock of Russian forests and to assess the relative changes in post-Soviet Russia. Our estimate for the year 2014 is 111 ± 1.3 × 109 m3, or 39% higher than the value in the State Forest Register. Using the last Soviet Union report as a reference, Russian forests have accumulated 1163 × 106 m3 yr-1 of growing stock between 1988–2014, which balances the net forest stock losses in tropical countries. Our estimate of the growing stock of managed forests is 94.2 × 109 m3, which corresponds to sequestration of 354 Tg C yr-1 in live biomass over 1988–2014, or 47% higher than reported in the National Greenhouse Gases Inventory.

Published
2021
Full Text
View/download PDF

2. Russian forest sequesters substantially more carbon than previously reported

Author

Myroslava Lesiv, Dmitry Schepaschenko, Anatoly Shvidenko, P. V. Ontikov, Linda See, Steffen Fritz, Elena Moltchanova, Vladimir Kositsyn, Maurizio Santoro, Victor Karminov, V. N. Korotkov, A. A. Romanovskaya, Florian Kraxner, Sergey Bartalev, S. A. Fedorov, and Maria Shchepashchenko

Subjects
0106 biological sciences, Biomass (ecology), Multidisciplinary, Forest inventory, 010504 meteorology & atmospheric sciences, Science, Tropics, Forestry, Vegetation, State forest, 010603 evolutionary biology, 01 natural sciences, Article, Greenhouse gas, Forest ecology, Environmental science, Medicine, Climate-change impacts, Stock (geology), 0105 earth and related environmental sciences
Abstract

Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported almost no change in growing stock (+ 1.8%) and biomass (+ 0.6%). Yet remote sensing products indicate increased vegetation productivity, tree cover and above-ground biomass. Here, we challenge these statistics with a combination of recent National Forest Inventory and remote sensing data to provide an alternative estimate of the growing stock of Russian forests and to assess the relative changes in post-Soviet Russia. Our estimate for the year 2014 is 111 ± 1.3 × 109 m3, or 39% higher than the value in the State Forest Register. Using the last Soviet Union report as a reference, Russian forests have accumulated 1163 × 106 m3 yr-1 of growing stock between 1988–2014, which balances the net forest stock losses in tropical countries. Our estimate of the growing stock of managed forests is 94.2 × 109 m3, which corresponds to sequestration of 354 Tg C yr-1 in live biomass over 1988–2014, or 47% higher than reported in the National Greenhouse Gases Inventory.

Published
2021

3. New estimate of growing stock volume and carbon sequestration of Russian forests based on national forest inventory and remote sensing data

Author

Linda See, Victor Karminov, P. V. Ontikov, Dmitry Schepaschenko, Anatoly Shvidenko, Steffen Fritz, Florian Kraxner, V. N. Korotkov, A. A. Romanovskaya, Vladimir Kositsyn, Maurizio Santoro, Elena Moltchanova, S. A. Fedorov, Maria Shchepashchenko, and Sergey Bartalev

Subjects
Remote sensing (archaeology), National forest inventory, Environmental science, Forestry, Carbon sequestration, Stock (geology), Volume (compression)
Abstract

Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported (FAO, 2014) almost no changes in growing stock (+1.8%) and biomass (+0.6%). Yet remote sensing products indicate increased vegetation productivity (Guay et al., 2014), tree cover (Song et al., 2018) and above-ground biomass (Liu et al., 2015). Here, we challenge the official national statistics with a combination of recent National Forest Inventory and remote sensing data products to provide an alternative estimate of the growing stock of Russian forests and assess the relative changes in the post-Soviet era. Our estimate for the year 2014 is 118.29±1.3 109 m3, which is 48% higher than the official value reported for the same year in the State Forest Register. The difference is explained by increased biomass density in forested areas (+39%) and larger forest area estimates (+9%). Using the last Soviet Union report (1988) as a reference, Russian forests have accumulated 1163×106 m3 yr-1 of growing stock between 1988–2014, which compensates for forest growing stock losses in tropical countries (FAO FRA, 2015). Our estimate of the growing stock of managed forests is 94.2 109 m3, which corresponds to sequestration of 354 Tg C yr-1 in live biomass over 1988–2014, or 47% higher than reported in the National Greenhouse Gases Inventory (National Inventory Report, 2020).Acknowledgement: The research plots data collection was performed within the framework of the state assignment of the Center for Forest Ecology and Productivity of the Russian Academy of Sciences (no. АААА-А18-118052590019-7), and the ground data pre-processing were financially supported by the Russian Science Foundation (project no. 19-77-30015).

Published
2021
Full Text
View/download PDF

4. 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
Full Text
View/download PDF

5. Spatial distribution of arable and abandoned land across former Soviet Union countries

Author

Linda See, Olga Kutovaya, Stephan Estel, Florian Kraxner, Myroslava Lesiv, Natalia Kussul, Elena Moltchanova, M. Dürauer, Alexander V. Prishchepov, Anatoly Shvidenko, Rostyslav Bun, Tobias Kuemmerle, Steffen Fritz, Camilo Alcántara, Dmitry Schepaschenko, Maria Shchepashchenko, Florian Schierhorn, Viktor Karminov, Petr Havlik, and Olga Martynenko

Subjects
Statistics and Probability, Data Descriptor, 010504 meteorology & atmospheric sciences, Land cover, 010501 environmental sciences, Library and Information Sciences, Spatial distribution, environmental impact, 01 natural sciences, Education, Ecosystem services, environmental social sciences, ddc:330, climate sciences, Agricultural productivity, agriculture, 0105 earth and related environmental sciences, 2. Zero hunger, Ecology, Land use, business.industry, Abandonment (legal), Environmental resource management, Agriculture, 15. Life on land, Computer Science Applications, Environmental social sciences, Geography, Environmental chemistry, ecology, Statistics, Probability and Uncertainty, Arable land, business, Climate sciences, Maps as Topic, USSR, Information Systems
Abstract

Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution. We have fused together existing land cover and land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We have also collected an independent validation data set to assess the map accuracy. The overall accuracies of the map by region and country, i.e. Caucasus, Belarus, Kazakhstan, Republic of Moldova, Russian Federation and Ukraine, are 90±2%, 84±2%, 92±1%, 78±3%, 95±1%, 83±2%, respectively. This new product can be used for numerous applications including the modelling of biogeochemical cycles, land-use modelling, the assessment of trade-offs between ecosystem services and land-use potentials (e.g., agricultural production), among others.

Published
2018
Full Text
View/download PDF

6. Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products

Author

Anatoly Shvidenko, Maria Shchepashchenko, M. Yu. Lesiv, P. V. Ontikov, Florian Kraxner, and Dmitry Schepaschenko

Subjects
0106 biological sciences, Estimation, 010504 meteorology & atmospheric sciences, 010604 marine biology & hydrobiology, State forest, 01 natural sciences, Geographically Weighted Regression, Geography, Forest cover, Remote sensing (archaeology), National forest, Arable land, 0105 earth and related environmental sciences, General Environmental Science, Remote sensing
Abstract

We review up-to-date, open access remote sensing (RS) products related to forest. We created a hybrid forest/non-forest map using geographically weighted regression (GWR) based on a number of recent RS products and crowdsourcing. The hybrid map has spatial resolution of 230 m and shows the extent of forest in Russia in 2010. We estimate area of Russian forest as 711 million ha (in accordance with Russian national forest definition). Compared to official data of the State Forest Register (SFR), RS estimates the area of forest to be considerably larger in European part (+12.2 million ha or +8%) and smaller in Asian (-39.8 million ha or -7%) part of Russia. We report the changing forest area in 2001-2010 and discuss main drivers: wildfire and encroachment of abandoned arable land. The methodology used here can be applied for monitoring of forest cover and enhancing the forest accounting system in Russia.

Published
2015

7. 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

Catalog

Books, media, physical & digital resources
See catalog results