Using hyperspectral imagery to predict post-wildfire soil water repellency

Lewis, Sarah A.; Robichaud, Peter R.; Frazier, B. E.; Wu, Ji; Laes, Denise

doi:10.1016/j.geomorph.2007.06.002

Cited by 23 publications

(9 citation statements)

References 30 publications

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“…Thus, detection of water repellent soils with hyperspectral data in this study was reliant on the lower reflectance soils (with charred material). This result is in agreement with the findings of Lewis et al (2008), where they used the strong correlation between ash and water repellent soils to map water repellency with hyperspectral data.…”

Section: Discussionsupporting

confidence: 92%

“…Spectroscopy was used at the Hayman, Colorado fire to assess burn severity by adapting the commonly used multispectral normalized burn ratio (NBR) to SWIR hyperspectral bands (Laes et al, 2004). At the same study site, researchers utilized hyperspectral analysis for burn severity (Robichaud et al, 2007) and to identify ash cover corresponding to water repellent soils (Lewis et al, 2008). Kokaly et al (2007) used hyperspectral analysis for post-fire surface cover.…”

Section: Introductionmentioning

confidence: 99%

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Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis

Finley

Glenn

2010

Journal of Arid Environments

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis

Finley

Glenn

2010

Journal of Arid Environments

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“…Soil water repellency can develop when surface vegetation and litter are burned and the volatilized organic compounds are released into the soil profile where they condense on soil particles (DeBano, 1971;Ice et al, 2004;Shakesby and Doerr, 2006). Fire-induced soil water repellency is often detected 1-to 3-cm below the soil surface (Doerr et al, 2006;Robichaud, 2000) and can exhibit high spatial variability (Lewis et al, 2008;Wagenbrenner and Robichaud, 2014). Given that the most apparent hydrological effect of soil water repellency is reduced infiltration, post-fire assessment teams have often used a field test of soil water repellency to estimate the reduction in infiltration.…”

Section: Introductionmentioning

confidence: 99%

Recovery of small-scale infiltration and erosion after wildfires

Larson-Nash

Robichaud

Pierson

et al. 2018

Journal of Hydrology and Hydromechanics

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Wildfires naturally occur worldwide, however the potential disruption to ecosystem services from subsequent post-fire flooding and erosion often necessitates a response from land managers. The impact of high severity wildfire on infiltration and interrill erosion responses was evaluated for five years after the 2003 Hot Creek Fire in Idaho, USA. Relative infiltration from mini-disk tension infiltrometers (MDI) was compared to rainfall simulation measurements on small burned and control plots. Vegetation recovery was slow due to the severity of the fire, with median cover of 6-8% on burned sites after 5 years. Consequently, interrill sediment yields remained significantly higher on the burned sites (329-1200 g m-2) compared to the unburned sites (3-35 g m-2) in year 5. Total infiltration on the burned plots increased during the study period, yet were persistently lower compared to the control plots. Relative infiltration measurements made at the soil surface, and 1- and 3-cm depths were significantly correlated to non-steady state total infiltration values taken in the first 10 minutes of the hour-long rainfall simulations. Significant correlations were found at the 1-cm (ρ = 0.4-0.6) and 3-cm (ρ = 0.3-0.6) depths (most p-values <0.001), and somewhat weaker correlations at the soil surface (ρ = 0.2-0.4) (p-values <0.05 and up). Soil water repellency is often stronger below the soil surface after severe wildfire, and likely contributes to the reduced infiltration. These results suggest that relative infiltration measurements at shallow depths may be useful to estimate potential infiltration during a short-duration high-intensity storm and could be used as an input for post-fire erosion models.

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“…halepensis cover showed the highest levels of water repellency. Lewis et al (2008) also reported strong water repellency after fire, while Robichaud (2000) calculated hydraulic conductivity values that provide important input parameters for use in erosion prediction models. As Beatty and Smith (2010) reported, water repellent soils can contribute, except for the development and propagation of unstable wetting fronts and preferential flow paths, increased and more rapid aquifer contamination, increased soil degradation (i.e.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the post-fire erosion and flood control works in the area of Cassandra (Chalkidiki, North Greece)

Kastridis

Kamperidou

2015

J. For. Res.

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We quantified morphological and hydrographical characteristics of two drainage basins (Chanioti and N. Skioni) on Cassandra peninsula of Chalkidiki (North Greece), and evaluated the effectiveness of post-fire flood and erosion control works. The drainage basins were chosen because of their severe damage by fire, post-fire potential for erosion and flood due to the steep relief, and the importance of the area for residential and tourism development. The first measures taken in the area after the fire were salvage cutting of burned trees, a total ban on grazing, and construction of three types of works, log erosion barriers (LEBs), log check dams and contour branch barriers. Almost all necessary post-fire works were completed in both catchments but many construction failures were recorded. Approximately 75 % of the LEBs and 45 % of the contour branch barriers functioned properly, while the remainder failed. Nearly 80 % of the log dams were sedimented to 0-20 % of the dam height, 14.3 % were 20-40 % filled and 5.9 % collapsed. Despite these failures, peak discharge declined by 10.5 % in Chanioti and 20.4 % in N. Skioni catchment. The main reasons for works failures were the rush of construction and the limited supervision of workers, which resulted in floods during the years that followed.Keywords Erosion Á Catchment Á Contour branch barrier Á Flood Á Log erosion barrier Á Post-fire management The online version is available at

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Using hyperspectral imagery to predict post-wildfire soil water repellency

Cited by 23 publications

References 30 publications

Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis

Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis

Recovery of small-scale infiltration and erosion after wildfires

Evaluation of the post-fire erosion and flood control works in the area of Cassandra (Chalkidiki, North Greece)

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