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

Remote Sensing of Environment

Volumn 162, Issue , 2015, Pages 208-220

  Schepaschenko, Dmitry ^a,b   See, Linda ^a   Lesiv, Myroslava ^a,c,d   McCallum, Ian ^a   Fritz, Steffen ^a   Salk, Carl ^a,e   Moltchanova, Elena ^f   Perger, Christoph ^a   Shchepashchenko, Maria ^g   Shvidenko, Anatoly ^a   Kovalevskyi, Sergii ^h   Gilitukha, Dmytro ^h   Albrecht, Franziska ^a   Kraxner, Florian ^a   Bun, Andriy ⁱ   Maksyutov, Shamil ^j   Sokolov, Alexander ^k   Dürauer, Martina ^a   Obersteiner, Michael ^a   Karminov, Viktor ^b   Ontikov, Petr ^b,k   more..

^a INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

^b MOSCOW STATE FOREST UNIVERSITY   (Russian Federation)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

^d LVIV POLYTECHNIC NATIONAL UNIVERSITY   (Ukraine)

^e SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^f UNIVERSITY OF CANTERBURY   (New Zealand)

^g Fed Autonomous Inst for Additional Prof Educ All Russ Inst of Continuous Education in Forestry   (Russian Federation)

^h NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE   (Ukraine)

ⁱ DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^j NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^k Central forest inventory enterprise ZentrLesProekt ^*  (Russian Federation)

more..

Author keywords

Crowdsourcing; Forest cover; Geographically weighted regression

Indexed keywords

LAND USE; REMOTE SENSING;

CROWDSOURCING; FOOD AND AGRICULTURE ORGANIZATIONS; FOREST COVER; GEOGRAPHICALLY WEIGHTED REGRESSION; LAND USE/LAND COVER; OVERALL ACCURACIES; REGIONAL LEVELS; VEGETATION CONTINUOUS FIELDS;

FORESTRY;

ACCURACY ASSESSMENT; DATA SET; FOOD AND AGRICULTURAL ORGANIZATION; FOREST COVER; MAP; MODIS; REGRESSION ANALYSIS; REMOTE SENSING; SYNERGISM;

AGRICULTURE; FOREST PRODUCTS; FORESTS; MAPS; STATISTICS;

UNITED STATES;

EID: 84924565264     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.02.011     Document Type: Article

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