The Estimation of Grassland Aboveground Biomass and Analysis of Its Response to Climatic Factors Using a Random Forest Algorithm in Xinjiang, China - Dong, Ping; Jing, Changqing; Wang, Gongxin; Shao, Yuqing; Gao, Yingzhi (Plants (Basel), 2024)
Keywords: aboveground biomass; Accuracy; Algorithms; Artificial intelligence; Biomass; Carbon; Carbon cycle; China; Climate; Climate change; climatic factors; Environmental aspects; Estimation; grasses; grassland type; Grasslands; Humidification; Landsat satellites; Livestock; Machine learning; Meadows; Measurement; Meteorological data; physiological state; Plant biomass; random forest; Regional development; Regression analysis; Remote observing; Remote sensing; Spatial distribution; Support vector machines; Sustainable use; temperature; Variables; Vegetation; Vegetation index; Water conservation; China; Loess Plateau; grassland type; aboveground biomass; random forest; climatic factors