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

Описание

Тип публикации: статья из журнала

Год издания: 2015

Идентификатор DOI: 10.1016/j.rse.2015.02.011

Ссылки на полный текст

Издание

Журнал: Remote Sensing of Environment

Выпуск журнала: Т. 162

Номера страниц: 208-220

ISSN журнала: 00344257

Издатель: Elsevier Science Publishing Company, Inc.

Персоны

  • Schepaschenko D. (Moscow State Forest University)
  • See L. (International Institute for Applied Systems Analysis)
  • Lesiv M. (Lviv Polytechnic National University)
  • McCallum I. (International Institute for Applied Systems Analysis)
  • Fritz S. (International Institute for Applied Systems Analysis)
  • Salk C. (Southern Swedish Forest Research Centre, Swedish Agricultural University)
  • Perger C. (International Institute for Applied Systems Analysis)
  • Shvidenko A. (International Institute for Applied Systems Analysis)
  • Albrecht F. (International Institute for Applied Systems Analysis)
  • Kraxner F. (International Institute for Applied Systems Analysis)
  • Dürauer M. (International Institute for Applied Systems Analysis)
  • Obersteiner M. (International Institute for Applied Systems Analysis)
  • Karminov V. (Moscow State Forest University)
  • Ontikov P. (Central forest inventory enterprise ZentrLesProekt)
  • Moltchanova E. (School of Mathematics and Statistics, University of Canterbury)
  • Shchepashchenko M. (Russian Institute of Continuous Education in Forestry)
  • Kovalevskyi S. (National University of Life and Environmental Sciences of Ukraine)
  • Gilitukha D. (National University of Life and Environmental Sciences of Ukraine)
  • Bun A. (Delft University of Technology)
  • Maksyutov S. (Center for Global Environmental Research, National Institute for Environmental Studies)
  • Sokolov A. (Central forest inventory enterprise ZentrLesProekt)

Вхождение в базы данных