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

D Schepaschenko, L See, M Lesiv, I McCallum, S Fritz, C Salk, E Moltchanova, C Perger, M Shchepashchenko, A Shvidenko, S Kovalevskyi, D Gilitukha, F Albrecht, F Kraxner, A Bun, S Maksyutov, A Sokolov, M Durauer, M Obersteiner, V KarminovP Ontikov

Research output: Contribution to journalArticleScientificpeer-review

58 Citations (Scopus)
Original languageEnglish
Pages (from-to)208-220
Number of pages13
JournalRemote Sensing of Environment: an interdisciplinary journal
Volume162
Issue numberJune
DOIs
Publication statusPublished - 2015

Keywords

  • CWTS JFIS >= 2.00

Cite this

Schepaschenko, D., See, L., Lesiv, M., McCallum, I., Fritz, S., Salk, C., Moltchanova, E., Perger, C., Shchepashchenko, M., Shvidenko, A., Kovalevskyi, S., Gilitukha, D., Albrecht, F., Kraxner, F., Bun, A., Maksyutov, S., Sokolov, A., Durauer, M., Obersteiner, M., ... Ontikov, P. (2015). Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. Remote Sensing of Environment: an interdisciplinary journal, 162(June), 208-220. https://doi.org/10.1016/j.rse.2015.02.011