Classification of Zambian grasslands using random forest feature importance selection during the optimal phenological period

• Published in: Ecological indicators Vol. 135; p. 108529
• Main Authors: Zhao, Yifan, Zhu, Weiwei, Wei, Panpan, Fang, Peng, Zhang, Xiwang, Yan, Nana, Liu, Wenjun, Zhao, Hao, Wu, Qirui
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2022; Elsevier
• Subjects: algorithms; biomass; carbon sequestration; Central Africa; data collection; GEE; grasses; Grassland classification; grasslands; Internet; land cover; Optimal feature selection; phenology; PROBA-V; range management; savannas; time series analysis; vegetation index; Zambia; Central Africa; Zambia; Optimal feature selection; Grassland classification; PROBA-V; GEE

•The cloud computing capability of GEE improves the efficiency of obtaining national-scale grassland information.•Time series NDVI can assist in the selection of optimal phenological periods and improve computational efficiency.•Optimal feature selection can reduce the number of features and improve...