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Project ID: 01-1-4-23

Year: 2001

Date Started: 09/19/2001

Date Completed: 06/01/2006

Title: Quantitative Comparison of Spectral Indices and Transformations with Multi-Resolution Remotely Sensed Data Using Ground Measurements: Implications for Fire Severity Modeling

Project Proposal Abstract: Techniques to derive, model, and map fire severity using continental scale land cover classes and ecoregions have included use of 1-km resolution Advanced Very High Resolution Radiometer (AVHRR) satellite imagery to improve and validate the current fire danger fuels system (NFDRS). These techniques involved using only the spectral Normalized Difference Vegetation Index (NDVI) to develop a series of vegetation `greenness' maps that correlate fire potential and predict fire occurrence in California and Nevada. While these modeling efforts have provided needed inputs and valuable tools, they have not included additional vegetation communities throughout the western United States. A more comprehensive approach is necessary that includes spectral indices other than NDVI and uses additional remotely sensed aircraft and satellite imagery data at more appropriate landscape and regional level resolutions that reflect the unique vegetation characteristics of communities with sparsely covered or diverse surfaces. This study will compare vegetation indices and spectral transformations at resolutions of 20m, 30m, 250m, and 1km. We will use the following indices: Normalized Difference Vegetation Index (NDVI), Tasseled Cap, and green vegetation index (GVI) and the following spectral transformations: spectral mixture analysis (SMA) with the above imagery resolutions. In addition, ground measurements are needed to validate the `greenness? maps and to quantitatively compare different vegetation spectral indices and data resolutions for greatef confidence in fire severity mapping and predicting fire occurrence. The ground measurements are needed to validate the modeling efforts are located in the Rocky Mountains and Sierra Nevada. They represent major ecosystems that are considered at risk to fires.

Principal Investigator: Jennifer L. Rechel

Agency/Organization: Forest Service

Branch or Dept: PSW-Forest Fire Lab-Riverside


Other Project Collaborators

Type

Name

Agency/Organization

Branch or Dept

Co-Principal Investigator

Dar A. Roberts

University of California-Santa Barbara

Department of Geography

Collaborator/Contributor

Thomas J. Bobbe

Forest Service

RSAC-Remote Sensing Applications Center

Collaborator/Contributor

Joseph Frost

Forest Service

NIFC-National Interagency Fire Center

Collaborator/Contributor

Francis M. Fujioka

Forest Service

PSW-Forest Fire Lab-Riverside

Collaborator/Contributor

Jacqueline Klaver

USGS-Geological Survey

EROS Data Center

Collaborator/Contributor

Jan W. Van Wagtendonk

USGS-Geological Survey

WERC-Yosemite Field Station

Federal Cooperator

Jennifer L. Rechel

Forest Service

PSW-Forest Fire Lab-Riverside

Manager/Coordinator

Pete Magee

San Louis Valley Regional Government

Technical Contact

Dean Gettinger

NPS-National Park Service

Southeast Region

Technical Contact

Elaina Graham

Forest Service

Rio Grande National Forest

Technical Contact

Robert E. Keane

Forest Service

RMRS-Fire, Fuel & Smoke Science Program

Technical Contact

Joe Kirkeminde

Forest Service

Gila National Forest

Technical Contact

Lisa Levien

Forest Service

PSW-Pacific Southwest Research Station

Technical Contact

Robert Richardson

Forest Service

Kaibab National Forest

Technical Contact

Philip J. Riggan

Forest Service

PSW-Forest Fire Lab-Riverside

Technical Contact

Linda Wadleigh

Forest Service

Kaibab National Forest

Technical Contact

David Watkins

Forest Service

Lassen National Forest


Project Locations

Consortium

California

Northwest

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
    973 Government Publication Documentation for image processing methods.
    2505 Journal Article Several refereed papers
    1091 Conference/Symposia/Workshop several professional meetings on project results

Supporting Documents

The following supporting documents are available for this project.

view or print

Brief


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