Vegetation burn severity mapping using Landsat-8 and WorldView-2

Photogrammetric Engineering and Remote Sensing
By: , and 

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Abstract

We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe's crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from World- View-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Vegetation burn severity mapping using Landsat-8 and WorldView-2
Series title Photogrammetric Engineering and Remote Sensing
DOI 10.14358/PERS.81.2.143
Volume 2
Year Published 2015
Language English
Publisher Ingenta Connect
Contributing office(s) Western Geographic Science Center
Description 12 p.
First page 143
Last page 154
Online Only (Y/N) N
Additional Online Files (Y/N) N