Updating Erosion Hazard Ratings in a Post-fire Assessment A GIS Tool for Soil Scientists.

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Updating Erosion Updating Erosion Hazard Ratings in a Hazard Ratings in a

Post-fire AssessmentPost-fire Assessment

A GIS Tool for Soil Scientists

OverviewOverview

• Background

• Current Process

• Data

• My Toolset

• Anticipated Results

• Challenges

• Opportunities

BackgroundBackground

• California has devastating wildfires every year– Of the 4.8 million acres burned

this year so far, 1.26 million are in California

– 20 million acres of National Forest in California – 800,000 acres burned in 2008

• High vulnerability due to Mediterranean climate– Dry summers followed by wet

winters– Summer lightning storms with

little or no rain

• Many communities adjacent to forests (WUI – Wildland-Urban Interface)

• Fire is often just the beginning of concerns

Property

Watersheds

People

Post-fire assessments are handled by a BAER team

–Team is composed of interagency specialists

–Utilize data from multiple sources

–Requires field assessment as well as written report

Objective: To determine the need for and to prescribe and implement emergency treatments to minimize threats to life or property or to stabilize and prevent unacceptable degradation to natural and cultural resources resulting from the effects of a fire

Post-fire Assessments

• Need to begin immediately and completed within one week of containment

• Recommend and implement treatments to minimize damage

• Erosion, landslide prevention is a key element• Time is limited

Assessing the Potential for Erosion

• In California – Erosion Hazard Rating (EHR)– Developed jointly by the U.S. Forest Service

and the California Soil Survey Committee (1989)

– Used by many soil scientists, but not all– Some factors are subjective and require soils

expertise, familiarity with local geography– Usually computed in a spreadsheet

Computing EHR

• Erodibility Factors: Texture, aggregate stability

• Climate Factor: 2 yr, 6 hr precipitation

• Water Movement: Infiltration, depth to restrictive layer

• Slope and slope length

• Vegetative cover & distribution

Current Process – Part ICurrent Process – Part I

Pre-Planning

• Soil Scientists download soil surveys from Natural Resource Conservation Service website (http://soildatmart.nrcs.usda.gov)

• Sometimes have hardcopy reports

• Acquire burn severity maps

• Go to the field

• Electronic soil surveys from NRCS– Spatial data in coverage or shapefile format

with primary key field

Available Datasets

• Electronic soil surveys from NRCS– Tabular data in Access database

Available Datasets

Available Datasets

Available Datasets

• BARC – Burned Area Reflectance Classification– Produced for significant fires by USDA Forest

Service Remote Sensing Applications Center– Satellite derived burn severity data (raster

format)– Generally 4 classes: UNBURNED, LOW,

MODERATE, HIGH– Often used as a proxy for vegetative cover

Available Datasets

Both datasets are validated in the field

Burn Severity

Both datasets are validated in the field

Soil Type and Characteristics

Current Process – Part IICurrent Process – Part II

Post Assessment• Datasets are modified if needed• Elements for EHR are entered into spreadsheet• Spreadsheet is handed off to BAER Team GIS

specialist– merges the datasets – calculates the EHR for each soil/burn severity type– creates map of priority treatment areas

DataData

DataData

My ToolbarMy Toolbar

Export Table

My ToolbarMy Toolbar

Import Table

My ToolbarMy Toolbar

MergeDatasets

My ToolbarMy Toolbar

Create New EHR

Anticipated ResultsAnticipated Results

• A toolbar that can be added to ArcGIS Desktop software

• Documentation for standardizing data to be exported and imported

• Create interim merged dataset

• Create new EHR layer and post it to Table of Contents with standard color coding

ChallengesChallenges

• Making SSURGO certified soil data usable

• Extracting the necessary soil attributes and interpretations

• Integrating the BARC (raster) and the soil data (vector) : simplicity vs. speed

• Working with external tabular data (spreadsheet)

OpportunitiesOpportunities

• Develop Web Application– Adequate internet not always available– Datasets require manipulation - ??

• Create interactive form in the tool itself– Browsing– Attribute choices

OpportunitiesOpportunities

• Incorporate Slope Class– No treatment

on >60%– Between 30%

and 60% - aerial only

AcknowledgementsAcknowledgements

• Dr. Patrick Drohan, Penn State University, advisor

• Dave Young, Brad Rust, and Peter VanSusteren, USFS Soil Scientists

• Employees of the Shasta-Trinity National Forest

• Sue Cannon, USGS publication, http://pubs.usgs.gov/fs/2005/3106/pdf/FS-3106.pdf

Thank you

Jonna Cooper

jec336@psu.edu