Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data

Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data

Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) and Sentinel satellite series offer opportunities for forest AGB monitoring. In this study, predictors filtered from 121 variables fr...

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Bibliographic Details
Main Authors: Lin Chen, Yeqiao Wang, Chunying Ren, Bai Zhang, Zongming Wang
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Remote Sensing
Subjects:
optimal predictors
algorithm comparison
Sentinel-1 SAR
Sentinel-2 MSI
SRTM DEM
forest AGB mapping
Online Access:https://www.mdpi.com/2072-4292/11/4/414

Internet

https://www.mdpi.com/2072-4292/11/4/414

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