Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic

Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic

Mapping the spatial distribution of soil organic carbon (SOC) in lands covered by tropical forests is important to understand the relationship and dynamics of SOC in this type of ecosystem. In this study, the Random Forest (RF) algorithm was used to map SOC stocks of topsoil (0–15 cm) in forest land...

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Bibliographic Details
Main Authors:	Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Series:	European Journal of Remote Sensing
Subjects:	Random forest landsat machine learning tropical forest environmental covariates Google Earth Engine
Online Access:	https://www.tandfonline.com/doi/10.1080/22797254.2022.2045226

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