| Summary: | Beginning in the summer of 2018, high resolution multispectral Unmanned Aerial Systems (UAS) datasets were collected across multiple sites in northern Alaska in an effort to characterize landcover, test remote sensing scaling methods and for use in validating satellite data products. Orthomosaic datasets were developed from multispectral images acquired using a Micasense RedEdge-M sensor and using standardized structure-from-Motion (SfM) photogrammetry workflows. UAS data products reflect landscape and vegetation composition and status at time of flight. We produced two data products (1) 6 band multispectral orthomosaic of Circumpolar Active Layer Monitoring Program (CALM) subset area and (2) 1 band normalized Normalized difference vegetation index (NDVI) orthomosaic of CALM subset area. All data have been calibrated using the proprietary Micasense grey-scale reflectance panel and/or the on-board drone sun sensor. The 6 band multispectral image consists of: Band 1: Blue (475 nm center, 20 nm bandwidth), Band 2: Green (560 nm center, 20 nm bandwidth), Band 3: Red (668 nm center, 10 nm bandwidth), Band 4: Red Edge (717 nm center, 10 nm bandwidth), Band 5: Near-IR (840 nm center, 40 nm bandwidth), Band 6: NDVI (not scaled) The 1 band NDVI product consists of: Band 1: Scaled NDVI map (calculated within ArcMap)
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