Enhancing plant growth tracking with satellite image fusion

Recent research employs spatiotemporal data fusion techniques, specifically Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and Simultaneously g

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China , Hong Kong , Utah , United States , Xiaolin Zhu , Hong Kong Polytechnic University Project Nos , Remote Sensingon February , Temporal Adaptive Reflectance Fusion Model , Index Time , Harmonized Landsat , Moderate Resolution Imaging Spectroradiometer , Enhanced Vegetation Index , National Natural Science Foundation , Hong Kong Polytechnic University , Newswise , Land Surface Phenology , Chinese Academy Of Sciences ,