Research on the Combination Model Based on DPMM and IForest - Jiangping Wan; Siting Lin; Yinsuo Zhang (E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future - 23rd Wuhan International Conference, WHICEB 2024, Wuhan, China, May 24-26, 2024, Proceedings, Part I, 2024)

Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies - Jenelle White; Aaron A. Berg; Catherine Champagne; Yinsuo Zhang; Aston Chipanshi; Bahram Daneshfar (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Crop Yield Estimation Using Time-Series MODIS Data and the Effects of Cropland Masks in Ontario, Canada - Jiangui Liu; Jiali Shang; Budong Qian; Ted Huffman; Yinsuo Zhang; Taifeng Dong; Qi Jing; Tim Martin (Remote. Sens., 2019)

Assessing the Impact of Climate Variability on Cropland Productivity in the Canadian Prairies Using Time Series MODIS FAPAR - Taifeng Dong; Jiangui Liu; Jiali Shang; Budong Qian; Ted Huffman; Yinsuo Zhang; Catherine Champagne; Bahram Daneshfar (Remote. Sens., 2016)

Estimation of crop yield in regions with mixed crops using different cropland masks and time-series MODIS data - Jiangui Liu; Ted Huffman; Jiali Shang; Budong Qian; Taifeng Dong; Yinsuo Zhang; Qi Jing (2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016, 2016)

Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale - Louis Kouadio; Nathaniel K. Newlands; Andrew M. Davidson; Yinsuo Zhang; Aston Chipanshi (Remote. Sens., 2014)