Estimating the maize biomass by crop height and narrowband vegetation indices derived from UAV-based hyperspectral images

Estimating the maize biomass by crop height and narrowband vegetation indices derived from UAV-based hyperspectral images

Monitoring the aboveground biomass (AGB) of maize is essential for improving site-specific nutrient management and predicting yield to ensure food safety. A low-altitude unmanned aerial vehicle (UAV) was employed to acquire hyperspectral imagery of the maize canopy at three growth stages (V6, R1, R3...

Full description

Bibliographic Details
Main Authors: Yue Zhang, Chenzhen Xia, Xingyu Zhang, Xianhe Cheng, Guozhong Feng, Yin Wang, Qiang Gao
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Ecological Indicators
Subjects:
UAV-remote sensing
Aboveground biomass
Stepwise regression
Random forest regression
XGBoost regression
Precision agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X21006506

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X21006506

Similar Items