Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection

Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection

Copernicus Sentinel-1 images are widely used for forest mapping and predicting forest growing stock volume (GSV) due to their accessibility. However, certain important aspects related to the use of Sentinel-1 time series have not been thoroughly explored in the literature. These include the impact o...

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Bibliográfalaš dieđut
Váldodahkkit: Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Ronald E. McRoberts, Jaan Praks, Hong Gu, Weimin Su, Oleg Antropov
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2023-07-01
Ráidu:Remote Sensing
Fáttát:
synthetic aperture radar
growing stock volume
boreal forests
Sentinel-1
support vector regression
random forests regression
Liŋkkat:https://www.mdpi.com/2072-4292/15/14/3489

Interneahtta

https://www.mdpi.com/2072-4292/15/14/3489

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