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Deriving Maximum Light Use Efficiency From Crop Growth Model and Satellite Data to Improve Crop Biomass Estimation.

, , , , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (1): 104-117 (2017)

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Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method., , , and . Remote Sensing, 5 (7): 3190-3211 (2013)Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand., , , , , , , and . Remote. Sens., 11 (14): 1684 (2019)Deriving Maximum Light Use Efficiency From Crop Growth Model and Satellite Data to Improve Crop Biomass Estimation., , , , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (1): 104-117 (2017)Retrieval of leaf area index with PROSAIL model and multi-angle data., , , , and . IGARSS, page 6471-6474. (2012)Retrieving Leaf and Canopy Water Content of Winter Wheat Using Vegetation Water Indices., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (1): 112-126 (2018)Crop Yield Estimation in the Canadian Prairies Using Terra/MODIS-Derived Crop Metrics., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model., , , , , , , , , and . Sensors, 20 (21): 6006 (2020)Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework., , , , , , , , , and . Comput. Electron. Agric., (December 2023)Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (5): 2896-2908 (2019)