Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset

The forest volumes are essential as they are directly related to the economic and environmental values of the forests. Satellite-based forest volume estimation was first developed in the 1990s, and the accuracy of the estimation has been improved over time. One of the satellite-based forest volume e...

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Principais autores:	Shingo Obata, Chris J. Cieszewski, Roger C. Lowe, Pete Bettinger
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-01-01
coleção:	Remote Sensing
Assuntos:	remote sensing landsat time series growing stock volume forest inventory harmonic regression random forest
Acesso em linha:	https://www.mdpi.com/2072-4292/13/2/218
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