PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classifcation REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie SUMMARY: This product will provide the biological science department a quantification of the different land coverages within the park boundaries. Multi-temporal Landsat TM data sets exist which allows the technicians the ability to measure land cover change over time, identify areas of vegetation stress, and in a broad scope identify the effects of climate change. The final output of this product will be a map of the different land coverages that includes a quantified summary of all the land coverages within the park boundary.

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie Map:Legend:Scale: Variable (30m pixels)

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie STEPS REQUIRED TO MAKE PRODUCT: DATA NEEDEDSTEPS TO MAKE PRODUCT: (Using System Functions) Landsat TM imagery In-situ data  Download imagery from USGS  Collect ancillary training data from field  Radiometrically correct image  Geometrically correct image  Subset image  Perform principal component analysis  Perform image classification analysis  Import into GIS  Transform raster to vector

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie DOCUMENT Scanned Document Display # 34DATA SET NAME: VC_LS_Classification Document Title: Remote Sensed Land Cover classification # Pages per Retrieved DocumentTypical 10 Maximum 30 Search Keys (all) Vegetation, land coverage, remote sensing, classification, categorization, fire management, Landsat TM, GIS Spatial: 30 x 30 pixels Attribute: Spruce-fir forest and woodland, Forest meadow, Mixed conifer forest, Blue spruce fringe forest, Aspen forest and woodland, Ponderosa pine forest, Gambel oak-mixed montane shrub land, Upper montane grassland, Lower montane grassland, Wet meadow, Wetland, Montane riparian shrub land, Sparsely vegetated rock outcrop, Felsenmeer rock field, Roads-disturbed ground, Open water, Post-fire bare ground Data Elements (Required to be seen)

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie Type of error:Possible occurrences ResultImpact on benefits Error Tolerance REFERENTIAL Land coverage given wrong name Overall statistics do not reflect actual land coverages Erroneous area analysis < 5% TOPOLOGICAL Not Applicable RELATIVE Geometric correction process Inaccurate assessment of land coverages Improper management + 30m ABSOLUTE UTM Grid calculation Minor location imprecision Minimal+ 30m Error Tolerance:

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie YEAR MAPS44444 LISTS44444 DOCUMENTS11111 Wait Tolerance CategoryTime Medium+ 14 days for quarterly product FunctionNumberFunctionNumber Calculate Reclass 4141 Display Create Lists 1414 WAIT TOLERANCE: FUNCTIONS INVOKED: FREQENCY:

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie Hours$ Cost LABOR Professional60 x 4 products per year$7,200 Technical30 x 4 products per year$7,200 MATERIALS:ENVI software license$2,000 TOTAL COST:$16,400

PRODUCT DESCRIPTION Sabie Environmental Consulting TITLE: Remote sensed land cover classification REQUIRED BY: Biological Science DepartmentPRODUCT # 34 NAME: Robert Sabie A)Savings: Fire management (selected thinning): $2-200 million per year Protection from overgrazing: $ million per year Maintaining vegetated buffers around streams: $ k Total savings:$ million B)Benefits to Agency Reduction in gathering field data Ability to assess areas that are otherwise difficult to access C)Future and External: Lumber production from selected thinning Reduction in resources needed for fire suppression Sustainable recreational activities (fishing, hunting)