CropSow: an integrative remotely sensed crop modeling framework for field-level crop planting date estimation

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 […]

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Zhijie Joins our Lab in Summer 2023

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.

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Zijun received the Planet fellowship

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 […]

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