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Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning., , , , , , and . Remote. Sens., 12 (18): 2957 (2020)Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2., , , , , and . Remote. Sens., 15 (17): 4123 (September 2023)Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA., , , , , , and . Remote. Sens., 10 (1): 10 (2018)Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates., , , and . Remote. Sens., 13 (16): 3160 (2021)Theoretical approaches for predicting the color of rigid dyes in solution., , , , , , , , , and . J. Comput. Chem., 38 (13): 998-1004 (2017)Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops., , and . CoRR, (2021)Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999., , , , and . IGARSS, page 5179-5182. IEEE, (2020)Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali., , , , , and . Remote. Sens., 12 (1): 100 (2020)Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2., , , , , and . CoRR, (2022)