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Monitoring intra and inter annual dynamics of forest degradation from charcoal production in Southern Africa with Sentinel - 2 imagery.

, , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)

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Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python., , , , , , , , , and . Environ. Model. Softw., (2013)Isolating type-specific phenologies through spectral unmixing of satellite time series., , , , and . Int. J. Digit. Earth, 11 (3): 233-245 (2018)Assessing the impacts of 1.5 degrees C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), , , , , , , , , and 44 other author(s). Geoscientific Model Development, 10 (12): 4321-4345 (2017)PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique., , , and . CoRR, (2023)Crop Yield Forecast at Field Scale Using Deep Neural Network Algorithm., , , , , , , , and . IGARSS, page 6080-6083. IEEE, (2021)Harmonization and translation of crop modeling data to ensure interoperability., , , , , , , , , and 5 other author(s). Environ. Model. Softw., (2014)Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization., , , , , , , and . CoRR, (2020)Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar., , , , , , , , , and . Remote. Sens., 12 (23): 3878 (2020)Monitoring intra and inter annual dynamics of forest degradation from charcoal production in Southern Africa with Sentinel - 2 imagery., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)