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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 ("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.")

There are no deliverables available for this project.

Supporting Documents

The following supporting documents are available for this project.

Brief

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