This data release provides forest structure information including basal area and stem density by genus and mortality status for overstory and sapling trees in 149 plots in Whiskeytown National Recreation area in California, USA. The data includes forest structure measurements taken before and after the 2018 Carr Fire, a nearly 93,000 hectare wildfire.

This dataset provides seedling density and site characteristics for 131 plots in Whiskeytown National Recreation area in California, USA. Site characteristics include modeled seed availability and terrain indices calculated using a 1 meter resolution digital elevation model (DEM).

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 is a combined collection of post-fire species point intercept cover monitoring data across the Murphy 2007 fire, Rush 2012 fire, Holloway 2012 fire, and Soda 2015 fire. Data was collected between 2008 and 2022 by the Bureau of Land Management, US Geological Survey, and Idaho Fish and Wildfire for various purposes. The species data was leveraged to assess post-fire community structure and trajectories.

Data is a combined collection of post-fire species point intercept cover monitoring data across the Murphy 2007 fire, Rush 2012 fire, Holloway 2012 fire, and Soda 2015 fire. Data was collected between 2008 and 2022 by the Bureau of Land Management, US Geological Survey, and Idaho Fish and Wildfire for various purposes. The species data was leveraged to assess post-fire community structure and trajectories.

During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates were analyzed for 50 major and trace elements by Inductively Coupled Plasma methods. The 0.45 µm filtrates from the January 2019 sampling event were analyzed for 87Sr/86Sr. Field measurements are reported of water temperature, pH, dissolved oxygen, and turbidity. Data are also reported for the concentration of suspended sediment and the percent of suspended sediment less than 0.0625 mm in diameter in each water sample. During January 21-23, 2019 the USGS team collected streambed sediment at the same 8 locations where water samples were collected. Eleven other samples of fire-affected soils or streambed sediments were collected by USGS during December 2018, January 2019, and March 2019; these sites included soils in close proximity to burned vehicles and structures. Collaborators at California State University, Chico collected water samples at selected stream sites between November 30, 2018 and January 17, 2019 and provided unfiltered split samples to USGS. The USGS recovered suspended particulate solids from these water samples; sufficient particulate material for chemical analysis was recovered from eight of these water samples. The streambed sediments, suspended sediments, and soils were analyzed for 51 major and trace elements by Inductively Coupled Plasma methods and for 87Sr/86Sr.

Raw aerial photography, orthorectified imagery, point cloud data, and digital elevation models (DEMs) for Whiskeytown National Recreation Area (NRA) following the Carr Fire. Sites within the NRA include: Lower Crystal Creek, Tower House, Grizzly Gulch, Boulder Creek South Shore and Conifer, Brandy Creek Camp, Shasta Divide, Paige Bar (North, NEED Camp, East, and Southeast), Chinese Laundry, and Coggins Park. Imagery was collected with two sensors (Ricoh GR II and MicaSense RedEdge) on a quadcopter flown at 400 feet above ground level immediately following the Carr Fire (October 2018) and 8-9 months after the fire (May and June 2019). Due to access, not all sites were flown during both collection periods. U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center UAS data is available from Earth Explorer. To access: 1) Log in to https://earthexplorer.usgs.gov 2) Search for imagery by downloading the KMZ file below and selecting it within the KML tab in the Search Criteria (on Earth Explorer). 3) Specify a date range if searching for imagery from a specific collection period. 4) Click on Data Sets and select UAS - Raw/Orttho/Point Cloud/DEM (desired imagery format). 5) Click on Results to view and download imagery.

The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a vector Fire Occurrence dataset which contains point locations of all currently inventoried fires occurring between calendar year 1983 and 2014. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a vector Fire Occurrence dataset which contains point locations of all currently inventoried fires occurring between calendar year 1983 and 2014. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

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.