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Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany.

, , , , , , and . Remote. Sens., 15 (7): 1830 (April 2023)

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Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany., , , , , , and . Remote. Sens., 15 (7): 1830 (April 2023)Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape, , , , , , and . Frontiers in Remote Sensing, (January 2023)Earth observation based analyses of land-use dynamics in West Africa, , , , , and . (2015)Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany, , , , , , , and . Remote Sensing, 15 (6): 1651 (March 2023)Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape, , , , , , and . Frontiers in Remote Sensing, (January 2023)Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany., , , , , , , and . Remote. Sens., 15 (6): 1651 (March 2023)Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany, , , , , , and . Remote Sensing, 15 (7): 1830 (March 2023)