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

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...

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Автори: Falv Wang, Mao Yang, Longfei Ma, Tong Zhang, Weilong Qin, Wei Li, Yinghua Zhang, Zhencai Sun, Zhimin Wang, Fei Li, Kang Yu
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2022-03-01
Серія:Remote Sensing
Предмети:
unmanned aerial vehicle
winter wheat biomass
vegetation indices
machine learning
random forest regression
partial least squares regression
Онлайн доступ:https://www.mdpi.com/2072-4292/14/5/1251
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