Identifying Spatial Variation of Carbon Stock in a Warm Temperate Forest in Central Japan Using Sentinel-2 and Digital Elevation Model Data

The accurate estimation of carbon stocks in natural and plantation forests is a prerequisite for the realization of carbon peaking and neutrality. In this study, the potential of optical Sentinel-2A data and a digital elevation model (DEM) to estimate the spatial variation of carbon stocks was inves...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Huiqing Pei, Toshiaki Owari, Satoshi Tsuyuki, Takuya Hiroshima
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Subjects:	forest carbon stock remote sensing imagery carbon density by stand age and forest type structural equation model
Online Access:	https://www.mdpi.com/2072-4292/15/8/1997