r03/r03_RiparianPotentialVegetation

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Service Description: Vegetation mapping helps to facilitate the research, assessment, and management of natural resources. Advances in GIS and remote sensing technologies have enabled more efficient, accurate, and precise map capabilities. This project leveraged those capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. The final riparian map provides managers and analysts information of sufficient quality to develop sustainability analysis, base inventory and monitory schemes, and support related studies.This project leveraged remote sensing capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. Mapping was conducted at the complete extent of all 5th-code HUC watersheds intersected by USFS lands in the Southwestern Region. Valley bottom modeling provided a spatial concept from which to base photo interpretation of riparian vegetation types and their extent, and to map riparian communities at the scale of 1:12,000, with a map legend of 24 map units and four subclasses. High resolution infrared photography and other key ancillary references were used to develop and corroborate inferences of riparian settings. An independent accuracy assessment was completed to determine overall map performance in regards to map themes and errors of omission and commission. Based on a random sample of 258 map polygons, the overall area-weighted user accuracy was estimated at 81%, while the net error in map extent was about 5% commission at local scales. At the watershed scale, an additional assessment was made using ten randomly selected watersheds to determine the overall omission of riparian plant communities across the landscape, with a resulting omission of just under 2%.

Map Name: r03_RiparianPotentialVegetation_01

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Description: Vegetation mapping helps to facilitate the research, assessment, and management of natural resources. Advances in GIS and remote sensing technologies have enabled more efficient, accurate, and precise map capabilities. This project leveraged those capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. The final riparian map provides managers and analysts information of sufficient quality to develop sustainability analysis, base inventory and monitory schemes, and support related studies. This project leveraged remote sensing capabilities, along with advanced valley bottom modeling techniques, to map riparian plant communities across Forests and Grasslands of the US Forest Service Southwestern Region. Mapping was conducted at the complete extent of all 5th-code HUC watersheds intersected by USFS lands in the Southwestern Region. Valley bottom modeling provided a spatial concept from which to base photo interpretation of riparian vegetation types and their extent, and to map riparian communities at the scale of 1:12,000, with a map legend of 24 map units and four subclasses. High resolution infrared photography and other key ancillary references were used to develop and corroborate inferences of riparian settings. An independent accuracy assessment was completed to determine overall map performance in regards to map themes and errors of omission and commission. Based on a random sample of 258 map polygons, the overall area-weighted user accuracy was estimated at 81%, while the net error in map extent was about 5% commission at local scales. At the watershed scale, an additional assessment was made using ten randomly selected watersheds to determine the overall omission of riparian plant communities across the landscape, with a resulting omission of just under 2%.

Copyright Text: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.

Spatial Reference: PROJCS["North_America_Lambert_Conformal_Conic",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",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-108.0],PARAMETER["Standard_Parallel_1",32.0],PARAMETER["Standard_Parallel_2",36.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]

Single Fused Map Cache: false

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Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

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Supports Dynamic Layers: true

MaxRecordCount: 4000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 1500000

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates

r03/r03_RiparianPotentialVegetation_01 (MapServer)