Skip to Main Content
Rapid response tools and datasets for post-fire modeling: Linking Earth Observations and process-based hydrological models to support post-fire remediationAuthor(s): M. E. Miller; M. Billmire; W. J. Elliot; K. A. Endsley; P. R. Robichaud
Source: In: 36th International Symposium on Remote Sensing of Environment; 11-15 May 2015; Berlin, Germany. Vol. XL-7/W3. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. p. 469-476.
Publication Series: Paper (invited, offered, keynote)
Station: Rocky Mountain Research Station
Download Publication (2.16 MB)
Related Research Highlights
Planning it Forward: Building Erosion Prediction Databases to Support Rapid Assessment of Post-fire Erosion Risks
DescriptionPreparation is key to utilizing Earth Observations and process-based models to support post-wildfire mitigation. Post-fire flooding and erosion can pose a serious threat to life, property and municipal water supplies. Increased runoff and sediment delivery due to the loss of surface cover and fire-induced changes in soil properties are of great concern. Remediation plans and treatments must be developed and implemented before the first major storms in order to be effective. One of the primary sources of information for making remediation decisions is a soil burn severity map derived from Earth Observation data (typically Landsat) that reflects fire induced changes in vegetation and soil properties. Slope, soils, land cover and climate are also important parameters that need to be considered. Spatially-explicit process-based models can account for these parameters, but they are currently under-utilized relative to simpler, lumped models because they are difficult to set up and require spatially-explicit inputs (digital elevation models, soils, and land cover). Our goal is to make process-based models more accessible by preparing spatial inputs before a fire, so that datasets can be rapidly combined with soil burn severity maps and formatted for model use. We are building an online database (http://geodjango.mtri.org/geowepp/) for the continental United States that will allow users to upload soil burn severity maps. The soil burn severity map is combined with land cover and soil datasets to generate the spatial model inputs needed for hydrological modeling of burn scars. Datasets will be created to support hydrological models, post-fire debris flow models and a dry ravel model. Our overall vision for this project is that advanced GIS surface erosion and mass failure prediction tools will be readily available for post-fire analysis using spatial information from a single online site.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- 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.
CitationMiller, M. E.; Billmire, M.; Elliot, W. J.; Endsley, K. A.; Robichaud, P. R. 2015. Rapid response tools and datasets for post-fire modeling: Linking Earth Observations and process-based hydrological models to support post-fire remediation. In: 36th International Symposium on Remote Sensing of Environment; 11-15 May 2015; Berlin, Germany. Vol. XL-7/W3. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. p. 469-476.
Keywordsforestry, hydrology, hazards, forest fire, databases, soil, land cover
- Rapid-response tools and datasets for post-fire remediation: Linking remote sensing and process-based hydrological models
- A rapid response database in support of post-fire hydrological modeling
- Erosion Risk Management Tool (ERMiT) user manual (version 2006.01.18)
XML: View XML