Post-fire (20211015) Cover for the Dixie 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-67ae30ddd34e3f09c0e0f1dd
metadata_type geospatial
modified 2025-02-18T00:00:00Z
old-spatial -121.8015480619513, 39.6838957613283, -120.46990283548139, 40.705492257313686
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash fa8b56d9d7db309199253a1ffbf429f24b876ae778d5b7a2fd132eab7d92323e
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-121.8015480619513, 39.6838957613283], [-121.8015480619513, 40.705492257313686], [ -120.46990283548139, 40.705492257313686], [ -120.46990283548139, 39.6838957613283], [-121.8015480619513, 39.6838957613283]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • biota
  • california
  • cover
  • dixie
  • lidar
  • usgs-67ae30ddd34e3f09c0e0f1dd
  • 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 2025-09-24T15:15:06.736686
metadata_modified 2025-09-24T15:15:06.736692
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 Post-fire (20211015) Cover for the Dixie Fire