Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015

Description

This data set provides high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures of forested areas in the Sierra Nevada Mountains, California, USA, collected before and after the August 2013 Rim and September 2014 King mega forest fires. Pre-fire data were paired with post-fire collections to assess pre- and post-fire landscape characteristics and fire severity. Field estimates of fire severity were collected to compare with derived remote sensing indices. Reflectance measurements for the spectroscopic AVIRIS and MASTER sensors are distributed as multi-band geotiffs for each megafire and acquisition date. Derived operational metric products for each sensor are provided in individual GeoTIFFs. GeoTIFFs produced from LiDAR point data depict first order topographic indices and summary statistics of vertical vegetation structure.

Resources

Name Format Description Link
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/VEGETATION/guides/King_Rim_Fire_Analysis.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1288
33 Data Set Documentation https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/King_Rim_Fire_Analysis/comp/King_Rim_Fire_Analysis.pdf
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1288
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/daacdata/global_vegetation/King_Rim_Fire_Analysis/
22 Browse Image https://daac.ornl.gov/VEGETATION/guides/KRFA_browse.jpg

Tags

  • environmental-impacts
  • biosphere
  • human-dimensions
  • agriculture
  • natural-hazards
  • ecological-dynamics
  • earth-science
  • forest-science

Topics

Categories