Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms

Liu, Zhenzhen; Li, Mingyang; Li, Chao; Liu, Zhenzhen

doi:10.1038/s41598-020-67024-3

Public

Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms

Published in Scientific Reports • Jun 19, 2020

Authors:

Zhenzhen Liu

Mingyang Li

Chao Li

Abstract

Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle and climate change in the global terrestrial ecosystem. AGB estimation based on remote sensing is an effective method for regional scale. In this study, Landsat 8 Operational Land Imager and Sentinel-1A data an...

Subject

Random forest

Remote sensing

Computer science

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