Hosted by the Coeur d’Alene Tribe and funded by the USGS and BIA GIS On Fire.

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Presentation transcript:

Hosted by the Coeur d’Alene Tribe and funded by the USGS and BIA GIS On Fire

Thanks You We greatly appreciate all of you breaking away from your busy schedules to come here. USGS and BIA Josh Arnold for working out the details

Who are you? 18: Natural Resource managers (I.e. Foresters, Biologists) 20: GIS - Geo Science folks 13: Fire – Fuels folks Have people give introductions

So why are we here? To bring together both the Fire people and GIS people into the same room Share knowledge and experiences Make new contacts Provide better tools Provide needed solutions

What are we going to do? Some of you took the ArcGIS class Monday and Tuesday You should have an agenda for the next three days. Business dinner tonight Friday – will be a step by step of the processing here at CDA in the lab

Projects in 27 states

Native American Program EROS Data Center Landscape characterization Fire Sciences Training Intern program Data distribution

Washington- Idaho-Coeur d’Alene Tribe Tribal and USGS staff exchanged data to support each other’s GIS projects –The Coeur d’Alene Tribe provided hydrography and road data in the TNM pilot –Further cooperation involves Tribal Names, improved data, data serving from Tribe, and the wildfire application –Sensitive Tribal data exclusions coordinated by Tribal GIS

LANDFIRE A Combined USFS-DOI Approach to National Fire Fuels Assessment

LANDscape and FIRE management system (since March 2002) FARSITE Layers Historical Fire Regimes Fire regime condition class Vegetation type Structural stages Forest fuels

The Idea for the Workshop is Born Coeur d’Alene Tribe – coordination USGS (EROS and Western Region via Boise Office) Portland BIA Office

Coeur d’Alene Project Multi Phased Project –Started with Structure mapping for defensible space three years ago –Fuels mapping project Throughout the next two days you will see parts of each of these fire related projects

What makes this any different than any other project Great number of software to master Great number of potential way to create data layers Great amount of data to manage

Complex Data Needs Elevation SlopeAspect Vegetation Plot Data (CFI) LiDAR Fuel Model Firemon Canopy CoverCrown Base HeightCrown Bulk Density Duff Loading Coarse Woody Debris * FARSITE Inputs

Complex Tool FARSITE FlamMap Firemon ArcGIS ERDAS IMAGINE See5Cubist Microsoft Access Microsoft SQL Server GISFire Models Remote Sensing Data Management

Conclusion Wildland Fire modeling is a very complex beast Here on the Coeur d’Alene we have beat our heads against the monitor a fair amount to come up with some solutions However I strongly feel that those of you in the room today have even more innovative solutions. We hope that this meeting will be a great learning opportunity for everyone involved

Have a good meeting Frank Roberts