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Composite Burn Index (CBI) Data for the Conterminous US, Collected Between 1996 and 2018

Metadata Updated: July 6, 2024

These data provide on the ground estimates of burn severity as estimated by the Composite Burn Index (CBI). Data were collected between 1996 and 2018 for fires that burned during this time period. Landsat imagery was used to develop regression relationships between the Normalized Burn Ratio (NBR) and differenced NBR (dNBR).

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 June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/978d16a5238a473e2836d4bf3e85c87f
Identifier USGS:5d963705e4b0c4f70d110ee6
Data Last Modified 20200818
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.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
Harvest Object Id 4211491c-0333-46e9-a3e2-49120ad91f7c
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -126.4064,24.7989,-75.248,49.2449
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b3d3cbef05f54153e22a1eae21aa72c156a3481cc2c5904d5d5a94a97dc473cd
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -126.4064, 24.7989, -126.4064, 49.2449, -75.248, 49.2449, -75.248, 24.7989, -126.4064, 24.7989}

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