The vast majority of agricultural remote sensing applications that utilize multispectral imagery require several pre-processing techniques in order to provide a basis on which to accurately analyze data and provide meaningful information to the grower. This research takes these techniques and compresses them into a fully-automated data processing pipeline. This pipeline is implemented using a BeamIO TileDriver workflow, converting raw digital count to direct-georectified reflectance, ready for further processing to provide a geolocated information product for the grower.
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