Forest growing stock volume estimation using optical remote sensing over snow-covered ground: a case study for Sentinel-2 data and the Russian Southern Taiga region-Reference-Cited by-同舟云学术

Forest growing stock volume estimation using optical remote sensing over snow-covered ground: a case study for Sentinel-2 data and the Russian Southern Taiga region

Published:2020-05-28 Issue:7 Volume:11 Page:677-686
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zharko Vasily O.¹,Bartalev Sergey A.¹²,Sidorenkov Victor M.³

Affiliation:

1. Space Research Institute, Russian Academy of Sciences, Moscow, Russia

2. Center of Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russia

3. All-Russian Research Institute for Silviculture and Mechanization of Forestry, Federal Agency for Forestry, Pushkino, Russia

Funder

Russian Science Foundation

Russian Academy of Sciences

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1755473

Reference17 articles.

1. Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery

2. Remote Sensing of Wetlands

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