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Assimilation of Multisensor Optical and Multiorbital SAR Satellite Data in a Simplified Agrometeorological Model for Rapeseed Crops Monitoring.

, , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)

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Assimilation of Multisensor Optical and Multiorbital SAR Satellite Data in a Simplified Agrometeorological Model for Rapeseed Crops Monitoring., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)A statistical approach for predicting grassland degradation in disturbance-driven landscapes., , , and . MultiTemp, page 1-5. IEEE, (2015)Imaging the World During Dry and Wet Seasons, Global Satellite Image Mosaics at Meter-Scale Resolution., , , , , , , and . IGARSS, page 2606-2609. IEEE, (2023)Validation of a Forage Production Index (FPI) Derived from MODIS fCover Time-Series Using High-Resolution Satellite Imagery: Methodology, Results and Opportunities., , , , , and . Remote Sensing, 7 (9): 11525-11550 (2015)On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases., , , , , , , and . Remote Sensing, 11 (1): 23 (2019)Evaluation of Multiorbital SAR and Multisensor Optical Data for Empirical Estimation of Rapeseed Biophysical Parameters., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery., , , , , , , and . Remote Sensing, 9 (4): 308 (2017)Using Spatial Statistics Tools on Remote-Sensing Data to Identify Fire Regime Linked with Savanna Vegetation Degradation., and . Int. J. Agric. Environ. Inf. Syst., 4 (1): 68-82 (2013)