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Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models.

, , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)

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Orthorectification of Sich-2 satellite images using elastic models., , and . IGARSS, page 2281-2284. IEEE, (2014)Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (December 2023)Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed., , , , , , , , , and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Grid and sensor web technologies for environmental monitoring., , and . Earth Sci. Informatics, 2 (1-2): 37-51 (2009)Agriculture Land Appraisal with Use of Remote Sensing and Infrastructure Data., , , , and . IGARSS, page 2785-2788. IEEE, (2022)Assessing Ukrainian Territory Suitability for Solar Power Station Placement Using Satellite Data on Climate and Topography., and . DESSERT, page 1-5. IEEE, (2023)Analysis of Cultivated Areas in Ukraine During the War., , , and . DESSERT, page 1-4. IEEE, (2022)Land degradation estimation from global and national satellite based datasets within UN program., , , , and . IDAACS, page 383-386. IEEE, (2017)Nexus Approach for Calculating SDG Indicator 2.4.1 Using Remote Sensing and Biophysical Modeling., , , and . IGARSS, page 6425-6428. IEEE, (2019)