Pre-fire (20201011) Cover for the Caldor Fire

Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow modeling and related risk analyses, hydrology and water quality assessments, and vulnerability to invasive species. Monitoring vegetation recovery over time enables continuous re-evaluation of various post-fire hazards, thereby facilitating informed and timely responses to post-fire risks by land managers at the local level. Structure metrics were derived from spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar data and used to map pre- and post-fire structure. Pre- and post-fire Landsat or Sentinel satellite data were obtained from the Monitoring Trends in Burn Severity (MTBS; https://www.mtbs.gov/) program. GEDI data were intersected with each satellite band and XGBoost models were built using band values as independent variables and GEDI vegetation structure values as dependent values. The models were used to generate spatially continuous maps of structure, providing vegetation structural estimates throughout the fire perimeter and beyond.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-67ae2e29d34e3f09c0e0f153
metadata_type geospatial
modified 2025-02-18T00:00:00Z
old-spatial -120.72729648525234, 38.50209164094042, -119.9135482613442, 38.758437124728324
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash be3865367560a82c6ebadce24c32e52848c1ee2f0169c3011d428a026945d01b
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-120.72729648525234, 38.50209164094042], [-120.72729648525234, 38.758437124728324], [ -119.9135482613442, 38.758437124728324], [ -119.9135482613442, 38.50209164094042], [-120.72729648525234, 38.50209164094042]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • biota
  • caldor
  • california
  • cover
  • lidar
  • usgs-67ae2e29d34e3f09c0e0f153
  • vegetation-structure
  • wildfire
  • wildland-fire
isopen False
license_id notspecified
license_title License not specified
maintainer Joshua J Picotte
maintainer_email jpicotte@usgs.gov
metadata_created 2025-09-23T16:11:37.284354
metadata_modified 2025-09-23T16:11:37.284361
notes Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow modeling and related risk analyses, hydrology and water quality assessments, and vulnerability to invasive species. Monitoring vegetation recovery over time enables continuous re-evaluation of various post-fire hazards, thereby facilitating informed and timely responses to post-fire risks by land managers at the local level. Structure metrics were derived from spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar data and used to map pre- and post-fire structure. Pre- and post-fire Landsat or Sentinel satellite data were obtained from the Monitoring Trends in Burn Severity (MTBS; https://www.mtbs.gov/) program. GEDI data were intersected with each satellite band and XGBoost models were built using band values as independent variables and GEDI vegetation structure values as dependent values. The models were used to generate spatially continuous maps of structure, providing vegetation structural estimates throughout the fire perimeter and beyond.
num_resources 1
num_tags 17
title Pre-fire (20201011) Cover for the Caldor Fire