Forest mask of Russia based on fusion remote sensing, statistics and crowdsourcing

Dmitry Schepaschenko; А. Shvidenko

Related publications

Article2015

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

Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Ian McCallum, Steffen Fritz, Carl Salk, Elena Moltchanova, Christoph Perger, Maria Shchepashchenko, А. Shvidenko, Serhii S. Kovalevskyi, Dmytro Gilitukha, Franziska Albrecht, Florian Kraxner, A. Bun, Shamil Maksyutov, Alexander Sokolov, Martina Dürauer, Michael Obersteiner, Viktor Karminov, Petr Ontikov

Remote Sensing of Environment

Article2014

Global forest map: exploring the synergy of remote sensing, crowd sourcing and statistics

Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Susanne A. Fritz, Ian McCallum, Christoph Perger, А. Shvidenko, Florian Kraxner, M. Schepaschenko

Article2010

Hybrid cover in 2009 for Russia: A methodology for integrating statistics, remote sensing and in-situ information

Dmitry Schepaschenko, Ian McCallum, А. Shvidenko

Article2013

Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics

Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Steffen Fritz, Ian McCallum, Christoph Perger, А. Shvidenko, Florian Kraxner

Article2013

Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics

Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Steffen Fritz, Ian McCallum, Christoph Perger, А. Shvidenko, Florian Kraxner

AGUFM

Forest mask of Russia based on fusion remote sensing, statistics and crowdsourcing

Abstract

Discussion(0)

Related publications

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

Global forest map: exploring the synergy of remote sensing, crowd sourcing and statistics

Hybrid cover in 2009 for Russia: A methodology for integrating statistics, remote sensing and in-situ information

Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics

Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics