Development of an invasive species distribution model with fine-resolution remote sensing. - Chunyuan Diao; Le Wang (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network. - Zhenfeng Shao; Yin Pan; Chunyuan Diao; Jiajun Cai (IEEE Trans. Geosci. Remote. Sens., 2019)

Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset. - Feng Gao 009; Martha C. Anderson; David M. Johnson 002; Robert Seffrin; Brian D. Wardlow; Andy Suyker; Chunyuan Diao; Dawn M. Browning (Remote. Sens., 2021)

A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion. - Zijun Yang; Chunyuan Diao; Bo Li 026 (Remote. Sens., 2021)

CyberGIS for Scalable Remote Sensing Data Fusion. - Fangzheng Lyu; Zijun Yang; Zimo Xiao; Chunyuan Diao; Jinwoo Park; Shaowen Wang 001 (PEARC, 2022)

Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology. - Chunyuan Diao; Geyang Li (Remote. Sens., 2022)

Towards Scalable Within-Season Crop Mapping With Phenology Normalization and Deep Learning. - Zijun Yang; Chunyuan Diao; Feng Gao 009 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Quadratic-plateau geographically weighted regression model for estimating site-specific economically optimal input rates. - Chishan Zhang; Xiaofei Li; Taro Mieno; Chunyuan Diao; David S. Bullock (Comput. Electron. Agric., 2025)

Multistream STGAN: A Spatiotemporal Image Fusion Model With Improved Temporal Transferability. - Fangzheng Lyu; Zijun Yang; Chunyuan Diao; Shaowen Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)