Accounting for Training Data Error in Machine Learning Applied to Earth Observations. - Arthur Elmes; Seyed Hamed Alemohammad; Ryan Avery; Kelly K. Caylor; J. Ronald Eastman; Lewis Fishgold; Mark A. Friedl; Meha Jain; Divyani Kohli; Juan Carlos Laso Bayas; Dalton D. Lunga; Jessica L. McCarty; et al. (Remote. Sens., 2020)

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales. - Lyndon D. Estes; Su Ye; Lei Song; Boka Luo; J. Ronald Eastman; Zhenhua Meng; Qi Zhang; Dennis McRitchie; Stephanie R. Debats; Justus Muhando; Angeline H. Amukoa; Brian W. Kaloo; et al. (Frontiers Artif. Intell., 2021)

A refined edge-aware convolutional neural networks for agricultural parcel delineation. - Rui Lu; Yingfan Zhang; Qiting Huang; Penghao Zeng; Zhou Shi; Su Ye (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning. - Zhige Wang; Ce Zhang 005; Su Ye; Rui Lu; Yulin Shangguan; Tingyuan Zhou; Peter M. Atkinson; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A two-dimensional bare soil separation framework using multi-temporal Sentinel-2 images across China. - Jie Xue 006; Xianglin Zhang; Yuyang Huang; Songchao Chen; Lingju Dai; Xueyao Chen; Qiangyi Yu; Su Ye; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Mapping cropping intensity by identifying bare soil occurrence from Sentinel-2 time series. - Yuyang Huang; Su Ye; Jie Xue 006; Zhou Shi; Fumin Wang (Comput. Electron. Agric., 2024)

A region-wide, multi-year set of crop field boundary labels for Africa. - Lyndon D. Estes; Amos Wussah; Mary Dziedzorm Asipunu; M. Gathigi; P. Kovacic; Justus Muhando; B. V. Yeboah; F. K. Addai; E. S. Akakpo; M. K. Allotey; P. Amkoya; E. Amponsem; et al. (CoRR, 2024)