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This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

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

Metadata Updated: February 22, 2025

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. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

Downloads & Resources

Dates

Metadata Created Date February 22, 2025
Metadata Updated Date February 22, 2025

Metadata Source

Harvested from nasa test json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 22, 2025
Metadata Updated Date February 22, 2025
Publisher ORNL_DAAC
Maintainer
Identifier C2482184416-ORNL_CLOUD
Data First Published 2022-09-22
Language en-US
Data Last Modified 2025-02-19
Category CMS, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 6089f1d2-9291-464f-8f21-40808cd0cfde
Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
Harvest Source Title nasa test 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 da51de4da4aa026ea8ed08bfc1f4ca644d1a2769e4b90c416dfdf08773cb74d8
Source Schema Version 1.1
Spatial
Temporal 2016-07-27T00:00:00Z/2016-09-13T23:59:59Z

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