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Crop-Yield-Remote-Sensing-Transfer-Learning

This code trains a CNN, 3D CNN, and CNN-LSTM on US remote sensing data using MODIS products recording surface reflectance, land surface temperature, and a cropland mask. Then, the trained models were used for transfer learning on models training on Shandong, China and Ukraine data (two seperate models).

Results

US Model Trained 2008-2015, Evaluated 2016-2018 (RMSE)

China Models Trained 2008-2015, Evaluated 2016-2018 (RMSE)

Ukraine Models Trained 2016-2017, Evaluated 2018 (RMSE)

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