Vegetation burn severity mapping using Landsat-8 and WorldView-2
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
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.
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 |
Google Analytic Metrics | Metrics page |