Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction. - Bin Peng; Kaiyu Guan; Wang Zhou 002; Chongya Jiang; Christian Frankenberg; Ying Sun 011; Liyin He; Philipp Köhler (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals. - Joanna Joiner; Yasuko Yoshida; Philipp Köhler; Petya K. E. Campbell; Christian Frankenberg; Christiaan van der Tol; Peiqi Yang; Nicholas Parazoo; Luis Guanter; Ying Sun 011 (Remote. Sens., 2020)

Fusion of Multispectral Aerial Imagery and Vegetation Indices for Machine Learning-Based Ground Classification. - Yanchao Zhang; Wen Yang; Ying Sun 011; Christine Chang; Jiya Yu; Wenbo Zhang (Remote. Sens., 2021)

Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. - Joshua Fan 002; Di Chen 001; Jiaming Wen 002; Ying Sun 011; Carla P. Gomes (IJCAI, 2022)

Landsat-derived rangeland condition indicators in East Africa from 2000 to 2022. - Gerardo E. Soto; Steven Wilcox; Patrick E. Clark; Francesco Fava; Nathan D. Jensen; Njoki Kahiu; Chuan Liao; Ben Porter; Ying Sun 011; Christopher B. Barrett (Zenodo, 2023)

Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon. - Haodi Xu; Joshua Fan 002; Feng Tao; Lifen Jiang; Fengqi You; Benjamin Z. Houlton; Ying Sun 011; Carla P. Gomes; Yiqi Luo (CoRR, 2025)