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Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation.

, , , , , , , , , and . IGARSS, page 157-160. IEEE, (2015)

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Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale., , , , , , , , , and 25 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (12): 5423-5441 (2017)Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing., , , , , and . WHISPERS, page 1-8. IEEE, (2022)Evaporative fraction from time series of MODIS data to monitor crop status in Northern Italy., , , , , and . IGARSS, page 2735-2738. IEEE, (2015)An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps., , , , , , and . Comput. Electron. Agric., (2018)Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems., , , , and . Remote. Sens., 6 (7): 6300-6323 (2014)Influence of Soil Properties on Maize and Wheat Nitrogen Status Assessment from Sentinel-2 Data., , , , and . Remote. Sens., 12 (14): 2175 (2020)"sen2r": An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data., , , and . Comput. Geosci., (2020)Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy Rice., , , , , , , , and . Sensors, 19 (4): 981 (2019)Multi Crop Estimation of LAI from Sentinel-2 VIs with Parametric Regression Approach: Comparison of Performances and VIs Sensitivity., , , , , , and . ASITA, volume 1651 of Communications in Computer and Information Science, page 222-234. Springer, (2022)Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images., , , , , , and . Remote. Sens., 16 (3): 492 (February 2024)