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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 ("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
	3654	NonRefereed Publication	Hyperspectral Remote Sensing of Postfire Soil Properties
	8838	NonRefereed Publication	Improving Postfire Soil Burn Severity Mapping with Hyperspectral Unmixing
	3653	NonRefereed Publication	Postfire Burn-Severity Classification of the Hayman Fire, CO: Based on Hyperspectral Data
	3657	Invited Paper/Presentation	Evaluating High Resolution Hyperspectral Images for Determining Postfire Burn Severity
	3652	MS Thesis	Hyperspectral Remote Sensing of Fire-Induced Water Repellent Soils

Supporting Documents

There are no supporting documents available for this project.

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