Benutzer: Gast  Login
Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Zeitschriftentitel:
Remote Sensing
Jahr:
2022
Band / Volume:
14
Heft / Issue:
5
Seitenangaben Beitrag:
1251
Volltext / DOI:
doi:10.3390/rs14051251
Verlag / Institution:
MDPI AG
E-ISSN:
2072-4292
Publikationsdatum:
04.03.2022
 BibTeX