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Using hyperspectral imagery to predict post-wildfire soil water repellencyAuthor(s): Sarah A. Lewis; Peter R. Robichaud; Bruce E. Frazier; Joan Q. Wu; Denise Y. M. Laes
Source: Geomorphology. 95: 192-205.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (477.51 KB)
DescriptionA 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.
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CitationLewis, 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.
Keywordsburn severity, ash, water repellent soils, Hayman Fire, remote sensing
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