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Title:

Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV

Document type:
Zeitschriftenaufsatz
Author(s):
Wang, Falv; Yang, Mao; Ma, Longfei; Zhang, Tong; Qin, Weilong; Li, Wei; Zhang, Yinghua; Sun, Zhencai; Wang, Zhimin; Li, Fei; Yu, Kang
Abstract:
One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that vegetation indices (VIs) often saturate from the middle to late growth stages. This study focuses on combining VIs acquired by a consumer-grade multiple-spectral UAV and machine learning regression techniques to (i) determine the optimal time window for AGB estimation of winter wheat and to (ii) determine the optimal combination of multi-spectral VIs and regression algorithms. UAV-based multi-spectral data a...     »
Journal title:
Remote Sensing
Year:
2022
Journal volume:
14
Journal issue:
5
Pages contribution:
1251
Fulltext / DOI:
doi:10.3390/rs14051251
Publisher:
MDPI AG
E-ISSN:
2072-4292
Date of publication:
04.03.2022
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