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Project ID: 04-1-2-02

Year: 2004

Date Started: 08/30/2004

Date Completed: 04/27/2009

Title: Mapping and Analysis of Pre-Fire Fuels Loading and Burn Intensity Using Pre-Fire Interferometric Synthetic Aperture Radar Data Combined With Burn Intensity Derived from Post-Fire Multispectural Imagery for the 2003 Southern CA Fires

Project Proposal Abstract: : In 2003 15 large fires consumed more than 750,000 acres in southern California. Coincidentally, a pre-fire, high-resolution interferometric radar dataset was collected in 2002/2003 by NOAA that covers most of the major burned areas from Santa Barbara to the Mexican border (~10 million acres). These data were collected with the GeoSAR interferometric synthetic aperture (IFSAR) radar system and are available from NOAA for analysis. Also, high-resolution multispectral imagery was flown over all major burned areas (~2 million acres) and used to produce burned area orthophotographs immediately after the fires. This post-fire imagery (along with BAER team fire intensity maps) is also available from ERSI / San Bernardino National Forest. In this project, we propose to: install and measure a limited number of vegetation field plots in unburned areas surrounding 3 major burned areas to augment existing national forest, CDF, FIA and NRI pre-fire inventory plot data; develop regression relationships between these ground plot vegetation data; use these regressions to map vegetation density, structure, and fuels throughout the burned and unburned areas of the 3 major fires; compare these vegetation density/structure maps with burned area assessment maps (vegetation mortality, soil severity) developed by the BAER program; conduct an analysis to determine if the IFSAR vegetation density/structure maps are well-correlated with the post-fire high-resolution multispectral orthophotography images and finally, make recommendations on whether or not it is desirable to process the entire NOAA IFSAR dataset to develop fuels maps throughout the 5 county area.

Principal Investigator: Robert J. McGaughey

Agency/Organization: Forest Service

Branch or Dept: PNW-Seattle-Managing Natural Disturbances

Other Project Collaborators

Type	Name	Agency/Organization	Branch or Dept
Co-Principal Investigator	Hans-Erik Andersen	Forest Service	PNW-Forestry Sciences Lab-Anchorage
Federal Cooperator	Robert J. McGaughey	Forest Service	PNW-Seattle-Managing Natural Disturbances

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.")

	ID	Type	Title
	6785	Refereed Publication	Assessing the Influence of Flight Parameters, Interferometric Processing, Slope and Canopy Density on the Accuracy of X-Band IFSAR-Derived Forest Canopy Height Models
	4893	Refereed Publication	Accuracy of an IFSAR-Derived Digital Terrain Model Under a Conifer Forest Canopy
	7945	Refereed Publication	A Comparison of Forest Canopy Models Derived From LIDAR and INSAR Data in a Pacific Northwest Conifer Forest
	9329	NonRefereed Publication	Accuracy of a High-Resolution LIDAR Terrain Model Under a Conifer Forest Canopy
	9328	NonRefereed Publication	Digital Forestry: A White Paper
	9327	NonRefereed Publication	Estimating Forest Canopy Fuel Parameters Using LIDAR Data
	9326	NonRefereed Publication	Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory
	9324	NonRefereed Publication	Chapter 3: Active Remote Sensing, from ’Computer Applications in Sustainable Forest Management’
	9321	NonRefereed Publication	Fusing LIDAR Data, Photographs, and Other Data Using 2D and 3D Visualization Techniques
	9320	NonRefereed Publication	Estimating Forest Structure Parameters on Fort Lewis Military Reservation Using Airborne Laser Scanner (LIDAR) Data
	9319	NonRefereed Publication	LIDAR Applications in Forestry - An Overview
	9318	NonRefereed Publication	Direct Measurement of Individual Tree Characteristics from LIDAR Data
	9317	NonRefereed Publication	Estimating Forest Crown Fuel Variables Using LIDAR Data
	9316	NonRefereed Publication	Monitoring Forests at the Speed of Light
	9315	NonRefereed Publication	Forest Measurement and Monitoring Using High-Resolution Airborne LIDAR
	9314	NonRefereed Publication	Considerations for Planning, Acquiring, and Processing LIDAR Data for Forestry Applications
	4926	NonRefereed Publication	Assessing the Influence of Flight Parameters and Interferometric Processing on the Accuracy of X-Band IFSAR-Derived Forest Canopy Height Models
	7946	NonRefereed Publication	Estimating Canopy Fuel Parameters in a Pacific Northwest Conifer Forest Using Multifrequency Polarimetric IFSAR
	7944	Book or Book Chapter	Active Remote Sensing
	9322	Book or Book Chapter	Chapter 10: Evaluation of Laser Light Detection and Ranging Measurements in a Forested Area
	7943	MS Thesis	Analysis of LIDAR-Derived Bare Ground Model Accuracy in Southern California Chaparral

Supporting Documents

The following supporting documents are available for this project.

Brief

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