A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables

Rapid and accurate estimation of maize biomass is critical for predicting crop productivity. The launched Sentinel-1 (S-1) synthetic aperture radar (SAR) and Sentinel-2 (S-2) missions offer a new opportunity to map biomass. The selection of appropriate response variables is crucial for improving the...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Chi Xu, Yanling Ding, Xingming Zheng, Yeqiao Wang, Rui Zhang, Hongyan Zhang, Zewen Dai, Qiaoyun Xie
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Subjects:	maize biomass Sentinel-1 Sentinel-2 polarization indices vegetation indices biophysical variables
Online Access:	https://www.mdpi.com/2072-4292/14/16/4083