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Evaluation of the ASCAT surface soil moisture product for agricultural drought monitoring in USA., , and . IGARSS, page 669-672. IEEE, (2015)Evaluating the impacts of drought on crop production from satellite observations: A case study in Kansas., , and . IGARSS, page 2058-2061. IEEE, (2014)Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning., , , and . CVPR Workshops, page 1111-1120. Computer Vision Foundation / IEEE, (2021)Generating Winter Wheat Global Crop Calendars in the Framework of Worldcereal., , , , , , , and . IGARSS, page 6583-6586. IEEE, (2021)Drought impact on wheat yield in Oklahoma and Nebraska: A remote sensing perspective., and . IGARSS, page 6288-6291. IEEE, (2016)High-Impact Hot Spots of Land Cover Land Use Change in Ukraine., , , , , , , , , and 3 other author(s). DESSERT, page 1-5. IEEE, (2022)Crop Yield Forecast at Field Scale Using Deep Neural Network Algorithm., , , , , , , , and . IGARSS, page 6080-6083. IEEE, (2021)COIVD-19 Impact Monitoring for Agriculutre., , , , , , , , , and 6 other author(s). IGARSS, page 1567-1570. IEEE, (2021)Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields., , , , and . DESSERT, page 1-7. IEEE, (2023)A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index., , , , , , , , , and 12 other author(s). Remote. Sens., 13 (7): 1348 (2021)