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Project ID: 00-1-3-21

Year: 2001

Date Started: 12/28/2000

Date Completed: 06/17/2006

Title: Validation of Crown Fuel Amount and Configuration Measured by Multispectral Fusion of Remote Sensors

Project Proposal Abstract: This project investigates the ability of multiple remote senors in direct and indirect measurement of crown fuels across landscape and bioregion scales. This addresses three of the principle Joint Fire Science purposes: I) fuels inventory and mapping; 2) Evaluation of consequences of fuel treatments; 3) monitoring and evaluation of fuels. The project will focus on three landscapes in the Sierra Nevada mountains in the more fire suscepstible ecoystems, mixed conifer and ponderosa pine. Current efforts to create a consistent fuel and predicted fire behavior layers for the Sierra Nevada bioregion have created a need for consistent bioregional modeling and improved modeling of surface fuels. At the present time, the different subregions of the Sierra Nevada are mapped during different years and with different methodologies. This contibutes to inconsistent fuel mapping and fire behavior analysis. Further, there is uncertainty about the accuracy of predictions of crown fuels, namely crown bulk density and height to crown base based upon indirect predictions. Currently, we have the remote sensing portion of the project underway, funded by a NASA grant (Forest Structure from Multispectral Fusion). The objective is to develop a reliable, cost-effective process to evaluate and monitor fuels and potential fire behavior. The NASA grant does not include field sampling for model traing and accuracy assessment. We propose to install a sufficiently large network of sample sites across three landscapes to provide robust statistical analysis of the relationships between ground-based measurements of crown dimensions and remotely sensed predictions. The three sensors that will be "fused" or combined for analysis include: radar, LIDAR, and Landsat TM. These three sensors were selected based upon a workshop on the potential for remote sensors to measure forest structure by the Sierra Nevada Province Monitoring Team (SPAM).

Principal Investigator: Jo Ann Fites-Kaufman

Agency/Organization: Forest Service

Branch or Dept: AMSET-Adaptive Management Services Enterprise Team

Other Project Collaborators

Type	Name	Agency/Organization	Branch or Dept
Co-Principal Investigator	Craig Dobson	University of Michigan	Electrical Engineering and Computer Science Department
Co-Principal Investigator	Carolyn T. Hunsaker	Forest Service	PSW-Forestry Sciences Lab-Fresno
Federal Cooperator	Jo Ann Fites-Kaufman	Forest Service	AMSET-Adaptive Management Services Enterprise Team

Project Locations

Consortium

California

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

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