2007122007073800FALSEEPCWILDLANDFUELSEXTREME0023115852.4458913327958.3208901244899.8392161479249.7642161ProjectedGCS_North_American_1983Linear Unit: Foot_US (0.304801)NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3000000.000316083],PARAMETER["False_Northing",999999.999996],PARAMETER["Central_Meridian",-105.5],PARAMETER["Standard_Parallel_1",38.45],PARAMETER["Standard_Parallel_2",39.75],PARAMETER["Latitude_Of_Origin",37.83333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2232]]</WKT><XOrigin>-118767900</XOrigin><YOrigin>-94525500</YOrigin><XYScale>36985113.707064793</XYScale><ZOrigin>0</ZOrigin><ZScale>100000</ZScale><MOrigin>0</MOrigin><MScale>100000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>2.0000000000000002e-05</ZTolerance><MTolerance>2.0000000000000002e-05</MTolerance><HighPrecision>true</HighPrecision><WKID>102654</WKID><LatestWKID>2232</LatestWKID></ProjectedCoordinateSystem>202308171031230020230817103123001.0ESRI ArcCatalog 9.3.1.3500enThe goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.Model fire behavior into both moderate and extreme categories for El Paso County.NoneAnchor Point Fire Management as contracted by El Paso County.20070614Extreme Condition Wildland FuelsWILDLANDFUELSEXTREMESDE raster digital dataUnknownThe goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.withheldground condition20070614None planned-105.095165-104.34361339.14852838.5000903115852.4458913327958.3208901244899.8392161479249.764216WildlandFuelsEl Paso CountyEPCPike National ForestNoneNoneRaster DatasetEl Paso County Environmental Servicesmailing and physical address
2880 International Cir, Suite 110
Colorado SpringsCO80910USA(719) 520-7656(719) 520-7816M-F 8 am - 5 pm (Mountain)Anchor Point Fire Management as contracted by El Paso County.enFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeEl Paso County Information TechnologiesMike Duysenmailing and physical addressColorado SpringsCO80903
325 S. Cascade Ave.
USA(719) 520-6755M-Th 8 am - 5 pm (Mountain)Contact via Helpdesk @ (719) 520-6355GIS Specialist IImikeduysen@elpasoco.com20121130ESRI Metadata Profilehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata ProfileNot publicly availableEl Paso County Information Technologiesmailing and physical address
325 S. Cascade Ave.
Colorado SpringsCO80903USA(719) 520-6355(719) 520-6755M-F 8 am - 5 pmContact via Helpdesk @ (719) 520-635520070614RasterPixel2381215598.42500098.425000161Upper LeftFALSELZ771pixel codesSDRTRUEGCS_North_American_1983NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feetrow and columnsurvey feet98.42500098.425000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222Explicit elevation coordinate included with horizontal coordinates0.000010Anchor Point Fire Management as contracted by El Paso County20070614Unknownraster digital dataThe goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.Extreme Condition Wildland Fuels20070614ground conditionAnchor Point Fire Management as contracted by El Paso CountyEl Paso County Environmental Servicesmailing and physical address
2880 International Cir, Suite 110
Colorado SpringsCO80910USA(719) 520-7656(719) 520-7816M-F 8 am - 5 pm (Mountain)The first phase of the project involved conversion of Common Vegetation Unit (CVU) data provided by the Pike-San Isabel National Forest. The cross walk started by using written descriptions of the polygons contained in the CVU dataset to assign fuel models. Where the written descriptions were inadequate (some descriptions could have been characterized equally well by two or more fuel models), further information was attained by using the canopy cover of predominate species to judge which fuel model best described in the polygon. A couple of simple examples may help explain the procedure. An example of a description that has a direct cross walk with a fuel model is Ponderosa Pine-Douglas Fir. Anything labeled Ponderosa Pine-Douglas Fir was given a fuel model of 10 (Timber). An example where further data were needed in order to make a fuel model designation was Ponderosa Pine/Grass. If the canopy cover percentage of Ponderosa Pine (this value was available for each polygon containing Ponderosa Pine in the CVU dataset) was less than 15%, the fuel model was set to fuel model 1 (Short Grass). If the value was greater than 15% and less than 40%, the value was set to fuel model 2 (Timber-Grass and Understory) and if the value was greater than 40%, the fuel model was fuel model 9 (Hardwood Litter). Based on rules such as these, the vegetation data from the USFS were converted to Anderson's fuel model data.
The second phase of the project focused on the delineation of polygons based on remotely sensed imagery - in this case Landsat Thematic Mapper data. Basically, this procedure analyzed a satellite image of the area and looked for similarities and differences between areas. Areas that were similar were grouped together and those that were different were separated. The result of this procedure was a set of more than 20,000 polygons that divided the entire study area. A more complete description of this relatively-complex procedure is provided as Appendix A. After the polygons were created, each one still needed to be given fuel model designations. This was done using aerial photograph interpretation which was aided by some known, field-sampled locations. These locations were then assigned a fuel model based on the appearance of the area at ground level. The GPS points were used to position each field point on top of an aerial photograph (NAIP Aerial Photography from 2005) and the fuel model was compared to the appearance of the area on the aerial. This allowed project personnel to "calibrate" their eyes for how a certain location looks from the air versus how it looks on the ground. The calibration also served to aid the interpreter in determining fuel model appearance on the aerial photograph. Following this calibration procedure, all 20,000+ polygons were assigned a fuel model based on their appearance on the aerial photograph. Constant consultation with a Certified Forester and Fire Behavior Analyst provided confidence and accuracy to the assigned fuel models. Finally, the results of the two phases of the project were combined into two separate fuel model layers (one for moderate weather conditions and one for extreme weather conditions, see discussion below). The data model chosen for the final fuel model layer was raster since fuel models are designed to be used by fire behavior modeling software which operates in a raster environment.20070614Unknown30 meter data was used for creation of dataset.The goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.The final deliverables for the project are two separate fuel model layers in raster format. The decision to provide two layers was made early in the project due to the difficulty of characterizing a dynamic wildland fuel situation (conditions can change dramatically over the course of a single fire season, let alone over a period of years) in a static medium (a single snapshot in time). To capture at least some of this dynamic situation, the fuel model data were characterized by different weather scenarios. The moderate fuel model dataset was designed to be used for fire behavior modeling using weather and fuel moisture scenarios that reflect moderate conditions. These can be thought of as an "average" day during any given fire season. The extreme fuel model dataset should be used to model fire behavior on days that are unusually hot or dry.Pixel Value (Extreme Conditions)
1 - Short Grass (1 Foot)
2 - Timber (Grass/Understory)
5 - Brush (2.5 Feet)
6 - Dormant Brush, Hardwood Slash
8 - Closed Timber Litter
9 - Hardwood Litter
10 - Timber (Litter/Understory)
98 - Water
99 - Non-BurnableExtreme Wildland Fuels ModelExtreme FuelsAnchor Point Fire Management as contracted by EPCMike DuysenEl Paso County Information TechnologiesGIS Specialist II(719) 520-6755325 S. Cascade Ave.Colorado SpringsCO80903USmikeduysen@elpasoco.comM-Th 8 am - 5 pm (Mountain)Contact via Helpdesk @ (719) 520-635520121130ArcGIS Metadata1.0withheldEnterprise Geodatabase Raster DatasetExtreme Condition Wildland Fuels2007-06-14Anchor Point Fire Management as contracted by El Paso County.SDE raster digital dataThe goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.The goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.Model fire behavior into both moderate and extreme categories for El Paso County.Anchor Point Fire Management as contracted by El Paso County.El Paso County Environmental Services(719) 520-7656(719) 520-78162880 International Cir, Suite 110Colorado SpringsCO80910USM-F 8 am - 5 pm (Mountain)El Paso CountyEPCPike National ForestWildlandFuelsWildlandFuelsEl Paso CountyEPCPike National ForestESRI ArcCatalog 9.3.1.3500true-105.095165-104.34361339.14852838.500090ground condition2007-06-14None1-105.095165-104.34361339.14852838.50009030 meter data was used for creation of dataset.The first phase of the project involved conversion of Common Vegetation Unit (CVU) data provided by the Pike-San Isabel National Forest. The cross walk started by using written descriptions of the polygons contained in the CVU dataset to assign fuel models. Where the written descriptions were inadequate (some descriptions could have been characterized equally well by two or more fuel models), further information was attained by using the canopy cover of predominate species to judge which fuel model best described in the polygon. A couple of simple examples may help explain the procedure. An example of a description that has a direct cross walk with a fuel model is Ponderosa Pine-Douglas Fir. Anything labeled Ponderosa Pine-Douglas Fir was given a fuel model of 10 (Timber). An example where further data were needed in order to make a fuel model designation was Ponderosa Pine/Grass. If the canopy cover percentage of Ponderosa Pine (this value was available for each polygon containing Ponderosa Pine in the CVU dataset) was less than 15%, the fuel model was set to fuel model 1 (Short Grass). If the value was greater than 15% and less than 40%, the value was set to fuel model 2 (Timber-Grass and Understory) and if the value was greater than 40%, the fuel model was fuel model 9 (Hardwood Litter). Based on rules such as these, the vegetation data from the USFS were converted to Anderson's fuel model data.
The second phase of the project focused on the delineation of polygons based on remotely sensed imagery - in this case Landsat Thematic Mapper data. Basically, this procedure analyzed a satellite image of the area and looked for similarities and differences between areas. Areas that were similar were grouped together and those that were different were separated. The result of this procedure was a set of more than 20,000 polygons that divided the entire study area. A more complete description of this relatively-complex procedure is provided as Appendix A. After the polygons were created, each one still needed to be given fuel model designations. This was done using aerial photograph interpretation which was aided by some known, field-sampled locations. These locations were then assigned a fuel model based on the appearance of the area at ground level. The GPS points were used to position each field point on top of an aerial photograph (NAIP Aerial Photography from 2005) and the fuel model was compared to the appearance of the area on the aerial. This allowed project personnel to "calibrate" their eyes for how a certain location looks from the air versus how it looks on the ground. The calibration also served to aid the interpreter in determining fuel model appearance on the aerial photograph. Following this calibration procedure, all 20,000+ polygons were assigned a fuel model based on their appearance on the aerial photograph. Constant consultation with a Certified Forester and Fire Behavior Analyst provided confidence and accuracy to the assigned fuel models. Finally, the results of the two phases of the project were combined into two separate fuel model layers (one for moderate weather conditions and one for extreme weather conditions, see discussion below). The data model chosen for the final fuel model layer was raster since fuel models are designed to be used by fire behavior modeling software which operates in a raster environment.2007-06-14El Paso County Environmental Services(719) 520-7656(719) 520-78162880 International Cir, Suite 110Colorado SpringsCO80910USM-F 8 am - 5 pm (Mountain)Anchor Point Fire Management as contracted by El Paso CountyExtreme Condition Wildland Fuels2007-06-14Anchor Point Fire Management as contracted by El Paso Countyraster digital dataThe goal of the current project was to characterize the wildland fuels (Anderson's 13 Fuel Models, Anderson 1982) in the western portion of El Paso County as a first step toward eventual fire behavior modeling for the same area.ground condition2007-06-143238121551datasetEPSG5.3(9.0.0)