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CMS: LiDAR-derived Tree Canopy Cover for States in the Northeast USA

Metadata Updated: June 28, 2025

This data set provides high-resolution (1-m) tree canopy cover for states in the Northeast USA. State-level canopy cover data are currently available for Pennsylvania (data for nominal year 2008), Delaware (2014), and Maryland (2013). The data were derived with a rules-based expert system which facilitated integration of leaf-on LiDAR and imagery data into a single classification workflow, exploiting the spectral, height, and spatial information contained in the datasets. Additional states will be added as data processing is completed.

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 April 11, 2025
Metadata Updated Date June 28, 2025

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date April 11, 2025
Metadata Updated Date June 28, 2025
Publisher ORNL_DAAC
Maintainer
Identifier 10.3334/ORNLDAAC/1334
Data Last Modified 2025-06-25
Category Earth Science
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 f9b49846-f89a-4bb8-8809-89f14833177f
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Old Spatial {"WestBoundingCoordinate":-81.1415,"NorthBoundingCoordinate":43.0987,"EastBoundingCoordinate":-74.1541,"SouthBoundingCoordinate":37.7092},"CARTESIAN"
Program Code 026:000
Source Datajson Identifier True
Source Hash 4cabc20be9999b1fa99042211e9f637882e8f20937298671b72ee15abd9a447b
Source Schema Version 1.1
Spatial

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