Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices
Guomin Shao(Northwest A&F University), Xin Cui(Northwest A&F University), Shouyang Liu(Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement), Wenting Han(Institute of Soil and Water Conservation), Yi Wang(Xi'an University of Finance and Economics), Liyuan Zhang(Northwest A&F University), Huihui Zhang(Agricultural Research Service)
Cited by 96
Related Papers
Trend analysis and forecast of PM2.5 in Fuzhou, China using the ARIMA model
|Ecological Indicators|2018|304
Toxic effects of heavy metals Pb and Cd on mulberry (Morus alba L.) seedling leaves: Photosynthetic function and reactive oxygen species (ROS) metabolism responses
|Ecotoxicology and Environmental Safety|2020|303
Hyperspectral Anomaly Detection: A survey
|IEEE Geoscience and Remote Sensing Magazine|2021|288
Toxic effects of heavy metal Cd and Zn on chlorophyll, carotenoid metabolism and photosynthetic function in tobacco leaves revealed by physiological and proteomics analysis
|Ecotoxicology and Environmental Safety|2020|263
Mapping Maize Water Stress Based on UAV Multispectral Remote Sensing
|Remote Sensing|2019|222