You are here: Home
/ Publication Information
Title: Using hyperspectral imagery to predict post-wildfire soil water repellency
Author: Lewis, Sarah A.; Robichaud, Peter R.; Frazier, Bruce E.; Wu, Joan Q.; Laes, Denise Y. M.
Source: Geomorphology. 95: 192-205.
Publication Series: Scientific Journal (JRNL)
Description: A principal task of evaluating large wildfires is to assess fire's effect on the soil in order to predict the potential watershed response. Two types of soil water repellency tests, the water drop penetration time (WDPT) test and the mini-disk infiltrometer (MDI) test, were performed after the Hayman Fire in Colorado, in the summer of 2002 to assess the infiltration potential of the soil. Remotely sensed hyperspectral imagery was also collected to map post-wildfire ground cover and soil condition. Detailed ground cover measurements were collected to validate the remotely sensed imagery and to examine the relationship between ground cover and soil water repellency.
Keywords: burn severity, ash, water repellent soils, Hayman Fire, remote sensing
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
XML: View XML
Lewis, Sarah A.; Robichaud, Peter R.; Frazier, Bruce E.; Wu, Joan Q.; Laes, Denise Y. M. 2008. Using hyperspectral imagery to predict post-wildfire soil water repellency. Geomorphology. 95: 192-205.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility