Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images. - Yingze Huang; Bingwen Qiu; Chongcheng Chen; Xiaolin Zhu 001; Wenbin Wu; Fanchen Jiang; Duoduo Lin; Yufeng Peng (Int. J. Appl. Earth Obs. Geoinformation, 2022)

From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2. - Bingwen Qiu; Duoduo Lin; Chongcheng Chen; Peng Yang 005; Zhenghong Tang; Zhenong Jin; Zhiyan Ye; Xiaolin Zhu 001; Mingjie Duan; Hongyu Huang; Zhiyuan Zhao 004; Weiming Xu; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2022)

National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series. - Yingze Huang; Bingwen Qiu; Peng Yang 005; Wenbin Wu; Xuehong Chen; Xiaolin Zhu 001; Shuai Xu; Laigang Wang; Zhanjie Dong; Jianyang Zhang; Joe Berry; Zhenghong Tang; et al. (Comput. Electron. Agric., 2024)