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Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations.

, , , , , , , , , and . Remote. Sens., 13 (11): 2138 (2021)

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Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , and 7 other author(s). IGARSS, page 3381-3384. IEEE, (2015)Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models., , , , , , , and . Remote. Sens., 9 (5): 509 (2017)Assimilation of remotely sensed canopy variables into crop models for an assessment of drought-related yield losses: A comparison of models of different complexity., , , , , and . IGARSS, page 5925-5928. IEEE, (2016)Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , and 7 other author(s). IGARSS, page 3381-3384. IEEE, (2015)Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations., , , , , , , , , and . Remote. Sens., 13 (11): 2138 (2021)Sino-EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources., , , , , , , , , and 4 other author(s). Remote. Sens., 13 (15): 2889 (2021)Development of farmland drought assessment tools based on the assimilation of remotely sensed canopy biophysical variables into crop water response models., , , , , and . IGARSS, page 4005-4008. IEEE, (2015)