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These are the images associated with the project, including: (1) OriginalImages: original 863 images provided to West Inc from USFWS and others for model training; (2) YoloSliced: 1897 programmatically cropped original images used for training a YOLO Model (300 x 300 pixels); (3) OriginalImages_Box: 785 annotated images; (4) YoloSliced_Box: 1897 annotated sliced images.
The objective of this project was to produce an Alaskan Existing Vegetation Type (AKEVT) map at 30m resolution for a portion of the Western Alaska Landscape Conservation Cooperative (WALCC) region using a very consistent (2000 +/- 1 yr.) remote sensing data set (Landsat 7 ETM+) and the same methodology. The mapped area encompasses the western and northern parts of the WALCC region, plus the Kodiak Archipelago.
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The purpose of this field data collection was to test and compare the OceanInsight HDX Mini Spectrometer as an accessible alternative against the more expensive ASD Fieldspec for collecting ground-based hyperspectral reflectance profiles for landcover analysis. The data collection took place in Dog Head Marsh and South Cape Beach within the Waquoit Bay National Estuarine Research Reserve (WBNERR). The hyperspectral profiles were collected side-by-side with both field-spectrometers using comparable sensor collection settings for various ground cover samples. The terrain and vegetation type of these sample were described as well as surveyed using Real Time Kinematic Global Positioning System (RTK-GPS). This data...


    map background search result map search result map Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations - Dog Head Marsh at South Cape Beach, Waquoit Bay National Estuarine Research Reserve (WBNERR), Mashpee, MA, October 7-8, 2021 Automated Sea Duck Counts from Aerial Imagery: Imagery Files Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations - Dog Head Marsh at South Cape Beach, Waquoit Bay National Estuarine Research Reserve (WBNERR), Mashpee, MA, October 7-8, 2021 Automated Sea Duck Counts from Aerial Imagery: Imagery Files