We developed a novel CropSow modeling framework to estimate field-level planting dates by integrating the remote sensing phenological detecting method with the crop growth model. The remote sensing phenological detecting method is devised to retrieve the critical crop phenological metrics of farm fields from remote sensing time series, which are then integrated into the crop […]

Prof. Diao received the 2023 Early/Mid-Career Research Award from UCGIS (https://www.ucgis.org/chunyuan-diao-early-mid-research-award). The UCGIS Early-Mid Career Research Award is to celebrate an outstanding early-mid career research record of innovative ideas or methods that lead to research impacts on the theory and/or practice of GIScience or geographic information technology.

Welcome Zhijie to our lab! Zhijie received his Master degree in Environmental Policy from Duke Kunshan University / Duke University. Zhijie joined our lab this summer, with research interests of remote sensing in land use/land cover applications and policy/program evaluation.

Tianci in our lab won the third place in the Student Honors Paper Competition in the AAG Annual Meeting (2023), organized by the Remote Sensing Specialty Group (RSSG). Her paper presentation is “Towards scalable field-level crop yield estimation through integration of crop model and deep learning”. Congratulations!!

Zijun in our lab has been awarded a Planet fellowship for his project “Near real-time crop yield forecasting for assessing the effects of excessive precipitation at field level”. The Planet fellowship is awarded through a collaboration between Planet Labs and the Taylor Geospatial Institute (TGI). The goal of the fellowship program is to support the […]