Forest growing stock volume mapping with accompanying uncertainty in heterogeneous landscapes using remote sensing data
Author:
Funder
Ministry of Science and Higher Education of the Russian Federation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01457-6.pdf
Reference54 articles.
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2. Anuchin NP (1982) Forest Taxation; Forestry Industry: Moscow, Russia, p. 551
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4. Astola H, Häme T, Sirro L, Molinier M, Kilpi J (2019) Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region. Remote Sens Environ 223:257–273. https://doi.org/10.1016/j.rse.2019.01.019
5. Beck HE, Zimmermann NE, McVicar TR, Vergopolan N, Berg A, Wood EF (2018) Present and future Köppen-Geiger climate classification maps at 1-km resolution. Sci Data 5(1):180214. https://doi.org/10.1038/sdata.2018.214
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