rapid response tools and datasets for post-fire erosion ... · kml of post-fire erosion predictions...
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Michigan Tech Research Institute (MTRI) Michigan Technological University 3600 Green Court, Suite 100 Ann Arbor, MI 48105
(734) 913-6840 – Phone (734) 913-6880 – Fax www.mtri.org
William Elliot Rocky Mountain Research Station,
Forest Service
Pete Robichaud Rocky Mountain Research Station,
Forest Service
David Banach MTRI
[email protected] (734) 994-7225
Mary Ellen Miller MTRI
[email protected] (734) 994-7221
K. Arthur Endsley MTRI
[email protected] (734) 913-6840
Chris Renschler University at Buffalo,
Department of Geography
Lee MacDonald Colorado State
University, Natural Resource Ecology
Michael Billmire MTRI
[email protected] (734) 913-6853
Example geo-processing workflow:
NASA-BAER Rapid Response Tools and Datasets
for Post-Fire Erosion Mitigation
http://geodjango.mtri.org/geowepp/
Online database for post-fire erosion modeling: http://geodjango.mtri.org/geowepp/
KML of Post-fire erosion predictions
Model burned watershed with a process based model. We used GeoWEPP, the Geographic Interface to the Water Erosion Prediction Project. The NASA BAER database provides one stop shopping for all
your post-fire erosion modeling needs – users can download modeling inputs within seconds and modeling work can then be carried out in near real time.
The database has also proven useful for fuels planning projects when used in conjunction with fire behavior modeling for predicting the effects of fuel treatments on potential post-fire erosion and run-off.
Difference map between post-fire erosion under current conditions times burn probability and post-fire erosion after fuel treatments times burn probability. This map is from the Mokelumne Avoided Cost Analysis (Buckley 2014).
Web site delivers: WEPP linkage and parameter files as well as soil map, DEM, and land cover map for spatial WEPP models
French Fire, CA 2014 Soil Burn Severity map from Landsat.
Objective: Provide an online database to create modeling inputs for BAER (Burned Area Emergency Response) teams. The database will facilitate the use of process based models in decision-making activities related to post-fire risk assessment and rehabilitation by eliminating the time consuming step of assembling input data.
Accomplishments: We have developed the tools and datasets needed to rapidly incorporate earth observations of burn severity into soil and land cover data used in modeling post-fire erosion and runoff. Our database and tools for the state of Colorado are available online at http://geodjango.mtri.org/geowepp/.
Future: We will build a nationwide database and provide support for additional post-fire erosion models that are currently under development including a dry ravel model and an empirical debris flow model.