This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Plains and a second for the Shield ecoregion. Field observations were used to estimate area burned in each of five severity classes (unburned, singed, light, moderate, severely burned) in six stratified randomly selected plots of 10 x 10-m in size across a 1-ha site. Using this five class scale a burn severity index (BSI) for each 1-ha site was calculated using multiple weighted and averaged field parameters. Pre- and post-fire phenologically paired Landsat 8 images were used to model the five discrete severity classes using midpoints as breaks.
N: 65.55 S: 58.29 E: -108.83 W: -124.03
|Temporal Extent:||Platform(s):||LANDSAT-8, FIELD SURVEYS, Environmental Modeling|
|Data Center(s):||ORNL_DAAC||Instrument(s):||OLI, TIRS, GPS, Computer|
Variables mapped on uniform space-time grid scales with completeness and consistency
|Project Short Name||Campaigns||Project Dates|
|ABoVE||No campaigns listed.||No dates provided.|
|Coverage Type||Zone Identifier||Geometry||Granule Representation|
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge, Tennessee 37831-6407
There are no listed data contacts for this collection.
Format Type: Native
S3 Bucket and Object Prefix Names: s3://ornl-cumulus-prod-protected/above/NWT_Burn_Severity_Maps/
S3 Credentials API Endpoint: https://data.ornldaac.earthdata.nasa.gov/s3credentials
S3 Credentials API Documentation URL: https://data.ornldaac.earthdata.nasa.gov/s3credentialsREADME