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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 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
    79 Ph.D. Dissertation Toward Regional- to Continental-Scale Estimates of Vegetation Canopy Height: An Empirical Approach Based on Data from the Shuttle Radar Topography Mission (W. Walker)
    953 Government Publication Design and Documentation of Field Sampling Protocol to Provide Training and Accuracy Assessment Data
    3029 Journal Article Mapping Forest Structure for Wildlife Habitat Analysis Using Waveform Lidar: Validation of Montane Ecosystems
    507 Dataset (including spatial) Compilation of raw and analyzed data into accessible databases with associated data dictionary and maps of plot locations.
    1081 Conference/Symposia/Workshop Various presentations to fire managers and at scientific symposia.
    1214 Poster Validation of Crown Fuel Amount and Configuration Measured by Multispectral Fusion of Remote Sensors
    1215 Poster Mapping Sierra Nevada Vegetation Structure with Radar, Lidar, and Multispectral Fusion of Remote Sensors
    1216 Conference/Symposia/Workshop Validation of Crown Fuel Amount and Configuration Measured by Multi-Spectral Fusion of Remote Sensors
    1217 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE
    1218 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE
    1552 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE
  go to website 1467 Website  
    1471 Poster Validation of Crown Fuel Amount and Configuration Measured by Multispectral Fusion of Remote Sensors
    1472 Poster Mapping Sierra Nevada Vegetation Structure with Radar, Lidar, and Multispectral Fusion of Remote Sensors
    1473 Conference/Symposia/Workshop Validation of Crown Fuel Amount and Configuration Measured by Multi-Spectral Fusion of Remote Sensors
    1474 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE
    6877 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE
    6932 Training Session Mapping Crown Fuels with Lidar and Implications for Modeling Fire Behavior with FARSITE

Supporting Documents

There are no supporting documents available for this project.

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