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Project ID: 01C-2-1-02

Year: 2002

Date Started: 07/25/2002

Date Completed: 07/13/2005

Title: Evaluating High Resolution Hyperspecteral Images for Determining Postfire Burn Severity

Project Proposal Abstract: Mapping bum severity after wildfire events has been the focus of burn rehabilitation crews for decades. Burn severity can vary depending upon the type of fbel present and the duration of the fire in a given location, Typically, burn severity is mapped as high, medium, or low. While these designations have been useflul for rehabilitation efforts, they have been difficult to accurately map. Recently, remote sensing in the form of airborne digital color infrared photography and multi-spectral satellite imagery have been used to map burn severity. Although these tools have been useful for delineating burn extent and vegetation condition after a fire, their link to burn severity is not direct. As new remote sensing tools become available, it is necessary to test their capabilities both on the ground and in the air in order to determine how they can improve upon existing methods. The new hyperspectral sensors show promise for improving upon our capabilities of collecting direct, meaningful measurements of burn severity. The proposed project addresses the needs of RFP 2001-2 Task 1. We seek to obtain hyperspectral airborne imagery in tandem with a handheld field spectrometer immediately after a wildfire, By collecting and analyzing information from these spectral data collection tools, we can determine how the next generation of sensors will assist in the mapping and analysis of burned areas. Funds from the proposed project will be ed collect and analyze hyperspectral imagery and field spectrometer information for refining estimates of burn severity.

Principal Investigator: Peter R. Robichaud

Agency/Organization: Forest Service

Branch or Dept: RMRS-Forestry Sciences Lab-Moscow


Other Project Collaborators

Type

Name

Agency/Organization

Branch or Dept

Co-Principal Investigator

Paul A. Maus

Forest Service

RSAC-Remote Sensing Applications Center

Collaborator/Contributor

Sarah Lewis

Washington State University-Pullman

Biological Systems Engineering

Collaborator/Contributor

Michael Parenti

M. Parenti & Associates

Collaborator/Contributor

Annette Parsons

BLM-Bureau of Land Management

Medford District Office

Federal Cooperator

Peter R. Robichaud

Forest Service

RMRS-Forestry Sciences Lab-Moscow


Project Locations

Consortium

Southern Rockies

Southwest


There are no project locations identified for this project.

Project Deliverables

Final Report view or print

("Results presented in JFSP Final Reports may not have been peer-reviewed and should be interpreted as tentative until published in a peer-reviewed source.")

  ID Type Title
view or print   1201 Government Publication Hyperspectral Remote Sensing of Postfire Soil Properties
view or print   1016 Government Publication Postfire Burn-Severity Classification of the Hayman Fire, CO: Based on Hyperspectral Data
view or print   1050 Government Publication Improving Postfire Soil Burn Severity Mapping with Hyperspectral Unmixing
    2484 Journal Article Assessing Burn Severity and Comparing Soil Water Repellency, Hayman Fire, Colorado
view or print   207 MS Thesis Hyperspectral Remote Sensing of Fire-Induced Water Repellent Soils
    3578 Invited Paper/Presentation Evaluating hyperspectral images for burn severity classification and water repellent conditions
view or print   3579 Invited Paper/Presentation Evaluating High Resolution Hyperspectral Images for Determining Postfire Burn Severity
    3580 Conference/Symposia/Workshop Hyperspectral Remote Sensing of Postfire Soil Properties
    3581 Poster Postfire Burn Severity Classification of the Hayman Fire, CO
    3582 Poster Rapid Response Research: Lessons from Assessing Burn Severity On Active Wildfires
    5450 Poster Comparing Remotely Sensed Burn Severity With Fire-Induced Ssoil Water Repellency

Supporting Documents

There are no supporting documents available for this project.

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