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    • CMS: Tree Canopy Cover at 0.5-meter resolution, Vermont, 2016

    Metadata Updated: December 7, 2023

    This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date May 30, 2023
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Figure 1: Vermont 2016 Tree Canopy dataset displayed in transparent green over a 2016 National Agriculture Imagery Program image (panchromatic).

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 30, 2023
    Metadata Updated Date December 7, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2482184416-ORNL_CLOUD
    Data First Published 2022-09-22
    Language en-US
    Data Last Modified 2023-06-12
    Category CMS, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation ONeil-Dunne, J., E. Buford, S. Macfaden, and A. Royar. 2022. CMS: Tree Canopy Cover at 0.5-meter resolution, Vermont, 2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2072
    Graphic Preview Description Figure 1: Vermont 2016 Tree Canopy dataset displayed in transparent green over a 2016 National Agriculture Imagery Program image (panchromatic).
    Graphic Preview File https://daac.ornl.gov/CMS/guides/Vermont_HighRes_LandCover_Fig1.png
    Harvest Object Id 964e7020-e8ec-49ea-870c-27058c4af42c
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2072
    Metadata Type geospatial
    Old Spatial -73.49 42.7 -71.46 45.02
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash a145f3ce3857ed329fb69a2e5936f5b2649cd6fdeebbc2912258fb0807a3d784
    Source Schema Version 1.1
    Spatial
    Temporal 2016-07-27T00:00:00Z/2016-09-13T23:59:59Z

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