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Description: Polygons delineating Oregon Department of Forestry's Protection from Fire Program Districts. The ODF Protection Districts are boundaries described in statute. Private and some federal lands within the boundaries are protected from fire by ODF. Most of the boundaries have been adjusted to the legal descriptions for the Protection District boundaries compiled by the Protection From Fire Program. The most recent update broke the Cascade District into North and South Cascade Districts. The boundary is a proposed boundary and may be subject to change when finally adopted.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/ODF_Forest_Protection_Districts_2018.xml
Download
https://gisapps.odf.oregon.gov/data/BoundariesOdfDistrictsForestProtection.Zip
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Description: This data layer is an element of the Oregon GIS Framework. The Structural Fire Protection Districts represent the boundaries of urban and rural structural fire districts. The layer was created cooperatively with the Oregon State Fire Marshal's office. The layer contains the Urban and Rural Fire Protection District boundary lines as well as attribute information (which is updated on a quarterly basis by the SFM office). Construction of the layer started prior to 2000 using line work collected with heads-up digitizing of Rural Fire Protection District boundaries from hard copy maps provided by the RFPDs and from ODF Protection Maps. In 2001 an effort was made to contact urban and rural fire districts whose boundaries were not included in the first digitizing effort. The boundaries for those districts that responded were incorporated into the protection district layer (not all districts responded so not all districts are represented in the theme). The name of the theme was changed from Rural to Structural to make it more representative of the data.
Metadata https://spatialdata.oregonexplorer.info/geoportal/rest/document?id=%7BAEC94750-D84C-4A85-A729-1F0275978A6D%7D
Download
https://gisapps.odf.oregon.gov/data/BoundariesStructuralFireProtectionDistricts100K.Zip
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Description: This theme delineates Urban Growth Boundaries (UGBs) in the state of Oregon. Oregon land use laws limit development outside of urban growth boundaries. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO).Urban growth boundaries (UGBs) are lines drawn on planning and zoning maps to show where a city expects to experience growth for the next 20 years. UGBs were established under Oregon Statewide Planning Goals in 1973 by the Oregon State Legislature (Senate Bill 100). Goal 14 specifically deals with UGBs (OAR 660-15-0000(4)). Other specific ORS that relate to the designation and delineation of UGBs are: 197.626 Expanding urban growth boundary and designating urban reserve area subject to periodic review. A city with a population of 2,500 or more within its urban growth boundary that amends the urban growth boundary to include more than 50 acres or that designates urban reserve areas under ORS 195.145 shall submit the amendment or designation to the Land Conservation and Development Commission in the manner provided for periodic review under ORS 197.628 to 197.650. [1999 c.622 §14; 2001 c.672 §10]and 197.628 Periodic review; policy; conditions that indicate need for periodic review.(1) It is the policy of the State of Oregon to require the periodic review of comprehensive plans and land use regulations in order to respond to changes in local, regional and state conditions to ensure that the plans and regulations remain in compliance with the statewide planning goals adopted pursuant to ORS 197.230, and to ensure that the plans and regulations make adequate provision for needed housing, employment, transportation and public facilities and services. Determining UGBs in Oregon is done based on input from city and county governments. Such special districts as public safety and utilities also participate because they provide important services. Local citizens and other interested people also provide input at public hearings, and by voting. After local governments determine the UGB, they submit a Post Acknowledgement Plan Amendment and the state Department of Land Conservation and Development (DLCD) reviews it for consistency with Goal 14. As part of this process jurisdictions send GIS files to DLCD highlighting the amended area. UGBs that are currently in the appeal process at the time of publication are not included. The effDate attribute is populated to indicate the data version and year in which the UGB was updated. UGB amendments are verified with DLCD’s Post Acknowledgement Plan Amendment (PAPA) database to ensure that all UGB updates reported to DLCD have been included in this data. In 2017 DLCD acknowledged amendments to the following UGBs: Cannon Beach, Dallas, Eugene, Ione, Lafayette, Madras, Metro, Prineville, Sandy and Seaside.
Metadata
http://spatialdata.oregonexplorer.info/geoportal/details;id=dd3a1c8fbd7448e2a8e9351c8b1a4e03
Download
ftp://ftp.gis.oregon.gov/adminbound/UGB_2017.zip
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: This dataset was originally created in 2004 at the Oregon Department of Employment under a grant from the Oregon Geographic Information Council (OGIC). In 2006, DLCD partnered with the University of Oregon's Infographics Lab and ODOT for another comprehensive update to the data following as closely as possible the methodology followed in the 2004 project. In 2008 DLCD took stewardship of the data and began a refined methodology necessary to bring the UGB data in line with other statewide framework elements through the OGIC data standards process. UGBs were optimized with reliance on cadastral tax lot data acquired through the Oregon Department of Revenue ORMAP project. Every jurisdiction's entire UGB was reviewed against County records, City records and DLCD records. Discrepancies were verified against acknowledged plan amendments and/or City Ordinances.
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Description: This theme shows line and polygon representation of the jurisdictional and cartographic county perimeters for Oregon.
Metadata
http://spatialdata.oregonexplorer.info/geoportal/rest/document?id={361C06FE-E9DE-4E24-A72E-280FB386A771}
Download
http://oe.oregonexplorer.info/ExternalContent/SpatialDataforDownload/orcnty2015.zip
Description: Attribute definitions:Shape* = shape type, point, polygon.OBJECTID = numerical count assigned to each record.NAME= the name of the recognized Firewise Communities/USA site.FWCUSAID= the unique identification number that is assigned to any recognized (active and inactive) Firewise Communities/USA site.CityTown= city or town where the Firewise Communites/USA site resides.State= State abbreviation where the Firewise Communites/USA site resides.ZipCodeUSA = US postal zip code where the Firewise Communites/USA site resides.NumResiden= the total number of residents in the Firewise Communities/USA site for each record.TotalInves= the total cumulative investments (grants, in kind volunteer hours and other wildfire mitigation investments) in the Firewise Communities/USA site for each record. This record is not currently available.AppRec= the date in which the recognized Firewise Communities/USA site was first recognized. Caveat: this does not mean that the community renewed their status every year since this date.APPREC_DT = the date in which the recognized Firewise Communities/USA site was first recognized. (in TEXT format)Status= is the recognized Firewise Communities/USA site 'active' (i.e. a recognized communiy) or 'inactive' (i.e. a community that was once recognized, but is no longer active and thereby not recognized).NewCom= new communities for the calendar year.Data Source:Geographic Coordinate System: GCS_WGS_1984Projected Coordinate System: WGS_1984_Web_Mercator_Auxillary_Sphere
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: author: Aron Anderson, National Fire Protection Association email: aanderson@nfpa.org
tel: 1-303-862-5133
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Name: Community Wildfire Protection Plan Areas (2017)
Display Field: cwpp
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: A Community Wildfire Protection Plan (CWPP) is a plan developed by a community in an area with exposure to wildfire. The Community Wildfire Protection Planning process is a collaboration between communities and agencies interested in reducing their susceptibility to wildfire.A valid CWPP has three minimum requirements. First, the plan must be collaboratively developed by local and state government representatives in consultation with federal agencies and other interested parties. Second, the plan must identify and prioritize areas for hazardous fuel reduction treatments, as well as recommending methods of treatments that will protect at-risk communities and essential infrastructure. Third, the plan must recommend measures that homeowners and communities can take to reduce ignitability of structures throughout the area addressed by the plan.The Healthy Forest Restoration Act (HFRA) requires that three decision-makers mutually agree to the final contents of the CWPP. The three are the applicable local government (i.e. counties or cities), the local fire department(s) and the State entity responsible for forest management (ODF). These three are directed to consult with and involve local representatives of the USFS and BLM and other interested parties or persons in the development of the CWPP. The statutory definition of a CWPP appears in Title I of the HFRA. The HRFA decrees that communities, which have a CWPP in place, will be a priority for receiving hazardous fuels reduction funding administrated by the USFS and BLM.
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: Oregon Counties and collaborative CWPP partners throughout the state of Oregon.
Name: Community Wildfire Protection Plan Areas (2020)
Display Field: cwpp
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: A Community Wildfire Protection Plan (CWPP) is a plan developed by a community in an area with exposure to wildfire. The Community Wildfire Protection Planning process is a collaboration between communities and agencies interested in reducing their susceptibility to wildfire.A valid CWPP has three minimum requirements. First, the plan must be collaboratively developed by local and state government representatives in consultation with federal agencies and other interested parties. Second, the plan must identify and prioritize areas for hazardous fuel reduction treatments, as well as recommending methods of treatments that will protect at-risk communities and essential infrastructure. Third, the plan must recommend measures that homeowners and communities can take to reduce ignitability of structures throughout the area addressed by the plan.The Healthy Forest Restoration Act (HFRA) requires that three decision-makers mutually agree to the final contents of the CWPP. The three are the applicable local government (i.e. counties or cities), the local fire department(s) and the State entity responsible for forest management (ODF). These three are directed to consult with and involve local representatives of the USFS and BLM and other interested parties or persons in the development of the CWPP. The statutory definition of a CWPP appears in Title I of the HFRA. The HRFA decrees that communities, which have a CWPP in place, will be a priority for receiving hazardous fuels reduction funding administrated by the USFS and BLM.
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: Oregon Counties and collaborative CWPP partners throughout the state of Oregon.
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Description: The wildland-urban interface (WUI) is the area where structures and other human development meet or intermingle with undeveloped wildland, and it is where wildfires have their greatest impacts on people. The WUI is composed of both interface and intermix communities. The distinction between these is based on the characteristics and distribution of houses and wildland vegetation across the landscape. Intermix WUI refers to areas where housing and wildland vegetation intermingle, while interface WUI refers to areas where housing is in the vicinity of a large area of dense wildland vegetation.In this dataset, the University of Wisconsin's 2010 SILVIS WUI dataset was used as a base WUI. To this, ODF brought in local data from past Community Wildfire Protection Plan (CWPP) and Wildland Urban Interface (WUI) data from all counties in Oregon to capture WUI areas locally designated and/or established after 2010. In addition, the Oregon Department of Land Conservation and Development (DLCD) 2017 Land Use Zoning was also used to attribute some areas that were not attributed as WUI in the 2010 SILVIS WUI dataset. Wildfire hazard values were assigned to each WUI area largely based on Burn Probability from the 2018 PNW Quantitative Wildfire Risk Assessment, modified to accommodate local designations where applicable.----------------------------------------An ArcGIS symbology layer file is associated with this dataset to show the wildfire hazard ratings as seen in the metadata browse graphic. The attribute field used is "Modified_Rating_QWRA18BP_CWPP."Other attribute fields that may be useful are:WUIClass_Modified_Oregon - shows wui class interface and intermix from SILVIS WUI and DLCD zoning where applicable.WUIClass10 - is the original SILVIS WUI designation as of 2010. Prior WUIClass90 etc may be usful for change detection studies.OR_WUI_Community - shows locally named community names - sometimes very close neighborhood names are concatenated and could be cleared up in the next update of this dataset.--------------------------------------------------------------------------------Processing steps:----------------------------------------Gathering the WUI polygon data:Spatial Joins to the source SILVIS WUI dataset: CWPPs, "Locally Named Communities" (from 2012-2017 WUI & CWPPs), City Limits, Structural Fire Districts, and 5 mile buffer of all Oregon town points to capture very rural towns without City Limits and to capture the towns at risk in the Pyrologix/USFS 2018 PNW QWRA Supplemental Briefing Paper "Exposure of human communities to wildfire in the Pacific Northwest"http://pyrologix.com/wp-content/uploads/2019/11/RiskToCommunities_OR-WA_BriefingPaper.pdfSpatial Join with DLCD Oregon 2017 Land Use Zoning.Deleted all polys from WUI that were not WUI or a Locally Named Comunity, FedRegister, or Land Use zone that appeared to be built-environment. For example, some rural areas had a DLCD residential zoning, or other built environment, etc., but Silvis had it as "Uninhabited_Veg" etc.Checked with West Wide Wildfire Risk Assessment "Where People Live" data - there was not enough of a difference to further process with WPL to add data in (very low density veg).Err'd on the side of inclusion - kept many areas that are "Very Low Density Veg," "Very Low Density NoVeg," and "Uninhabited Veg" in the SILVIS WUI due to local community presense and/or DLCD residential or rural built-environment zoning.----------------------------------------Associated with QWRA to obtain Wildfire Hazard values:Calculated Zonal Statistics for each poly using "Burn Probability" for hazard ratings to wui polys. Adjusted hazard levels up in cases where local info / National Fire Plan Coordinator informed the hazard levels. Translated burn probability values into 7 adjective classes based on the Pyrologix/QWRA classification, merged down to 3 main classes (low, moderate, high).----------------------------------------
Copyright Text: Source WUI data from:
Radeloff, Volker C.; Helmers, David P.; Kramer, H. Anu; Mockrin, Miranda H.; Alexandre, Patricia M.; Bar Massada, Avi; Butsic, Van; Hawbaker, Todd J.; Martinuzzi, Sebastián; Syphard, Alexandra D.; Stewart, Susan I. 2017. The 1990-2010 wildland-urban interface of the conterminous United States - geospatial data. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive.
http://silvis.forest.wisc.edu/data/wui-change/
USFS RDA link:
http://www.fs.usda.gov/rds/archive/catalog/RDS-2015-0012-2
Wildfire Hazard Ratings from:
Pacific Northwest Quantitative Wildfire Risk Assessment. 2018. USFS Pacific NW & Alaska Regions/BLM State Office. Portland, OR. Project Manager: Rick Stratton; Contractor: Pyrologix.
http://oregonexplorer.info/topics/wildfire-risk?ptopic=62
http://oe.oregonexplorer.info/externalcontent/wildfire/reports/20170428_PNW_Quantitative_Wildfire_Risk_Assessment_Report.pdf
CWPP info from county CWPPs of Oregon:
https://www.oregon.gov/odf/Fire/Pages/CWPP.aspx
Land use zoning from:
Oregon Department of Land Conservation and Development (DLCD) 2017 Land Use Zoning dataset.
http://www.oregon.gov/lcd/About/Pages/Maps-Data-Tools.aspx
Structural Fire District data from Oregon State Fire Marshall.
GIS processing by Oregon Dept of Forestry Protection Division, Salem, OR.
Description: The wildland-urban interface (WUI) is the area where structures and other human development meet or intermingle with undeveloped wildland, and it is where wildfires have their greatest impacts on people. The WUI is composed of both interface and intermix communities. The distinction between these is based on the characteristics and distribution of houses and wildland vegetation across the landscape. Intermix WUI refers to areas where housing and wildland vegetation intermingle, while interface WUI refers to areas where housing is in the vicinity of a large area of dense wildland vegetation.In this dataset, the University of Wisconsin's 2010 SILVIS WUI dataset was used as a base WUI. To this, ODF brought in local data from past Community Wildfire Protection Plan (CWPP) and Wildland Urban Interface (WUI) data from all counties in Oregon to capture WUI areas locally designated and/or established after 2010. In addition, the Oregon Department of Land Conservation and Development (DLCD) 2017 Land Use Zoning was also used to attribute some areas that were not attributed as WUI in the 2010 SILVIS WUI dataset. Wildfire hazard values were assigned to each WUI area largely based on Burn Probability from the 2018 PNW Quantitative Wildfire Risk Assessment, modified to accommodate local designations where applicable.----------------------------------------An ArcGIS symbology layer file is associated with this dataset to show the wildfire hazard ratings as seen in the metadata browse graphic. The attribute field used is "Modified_Rating_QWRA18BP_CWPP."Other attribute fields that may be useful are:WUIClass_Modified_Oregon - shows wui class interface and intermix from SILVIS WUI and DLCD zoning where applicable.WUIClass10 - is the original SILVIS WUI designation as of 2010. Prior WUIClass90 etc may be usful for change detection studies.OR_WUI_Community - shows locally named community names - sometimes very close neighborhood names are concatenated and could be cleared up in the next update of this dataset.--------------------------------------------------------------------------------Processing steps:----------------------------------------Gathering the WUI polygon data:Spatial Joins to the source SILVIS WUI dataset: CWPPs, "Locally Named Communities" (from 2012-2017 WUI & CWPPs), City Limits, Structural Fire Districts, and 5 mile buffer of all Oregon town points to capture very rural towns without City Limits and to capture the towns at risk in the Pyrologix/USFS 2018 PNW QWRA Supplemental Briefing Paper "Exposure of human communities to wildfire in the Pacific Northwest"http://pyrologix.com/wp-content/uploads/2019/11/RiskToCommunities_OR-WA_BriefingPaper.pdfSpatial Join with DLCD Oregon 2017 Land Use Zoning.Deleted all polys from WUI that were not WUI or a Locally Named Comunity, FedRegister, or Land Use zone that appeared to be built-environment. For example, some rural areas had a DLCD residential zoning, or other built environment, etc., but Silvis had it as "Uninhabited_Veg" etc.Checked with West Wide Wildfire Risk Assessment "Where People Live" data - there was not enough of a difference to further process with WPL to add data in (very low density veg).Err'd on the side of inclusion - kept many areas that are "Very Low Density Veg," "Very Low Density NoVeg," and "Uninhabited Veg" in the SILVIS WUI due to local community presense and/or DLCD residential or rural built-environment zoning.----------------------------------------Associated with QWRA to obtain Wildfire Hazard values:Calculated Zonal Statistics for each poly using "Burn Probability" for hazard ratings to wui polys. Adjusted hazard levels up in cases where local info / National Fire Plan Coordinator informed the hazard levels. Translated burn probability values into 7 adjective classes based on the Pyrologix/QWRA classification, merged down to 3 main classes (low, moderate, high).----------------------------------------
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: Source WUI data from:
Radeloff, Volker C.; Helmers, David P.; Kramer, H. Anu; Mockrin, Miranda H.; Alexandre, Patricia M.; Bar Massada, Avi; Butsic, Van; Hawbaker, Todd J.; Martinuzzi, Sebastián; Syphard, Alexandra D.; Stewart, Susan I. 2017. The 1990-2010 wildland-urban interface of the conterminous United States - geospatial data. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive.
http://silvis.forest.wisc.edu/data/wui-change/
USFS RDA link:
http://www.fs.usda.gov/rds/archive/catalog/RDS-2015-0012-2
Wildfire Hazard Ratings from:
Pacific Northwest Quantitative Wildfire Risk Assessment. 2018. USFS Pacific NW & Alaska Regions/BLM State Office. Portland, OR. Project Manager: Rick Stratton; Contractor: Pyrologix.
http://oregonexplorer.info/topics/wildfire-risk?ptopic=62
http://oe.oregonexplorer.info/externalcontent/wildfire/reports/20170428_PNW_Quantitative_Wildfire_Risk_Assessment_Report.pdf
CWPP info from county CWPPs of Oregon:
https://www.oregon.gov/odf/Fire/Pages/CWPP.aspx
Land use zoning from:
Oregon Department of Land Conservation and Development (DLCD) 2017 Land Use Zoning dataset.
http://www.oregon.gov/lcd/About/Pages/Maps-Data-Tools.aspx
Structural Fire District data from Oregon State Fire Marshall.
GIS processing by Oregon Dept of Forestry Protection Division, Salem, OR.
Description: The wildland-urban interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census and USGS National Land Cover Data, to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States from 1990-2010. These data are useful within a GIS for mapping and analysis at national, state, and local levels. Data are available as a geodatabase and include information such as housing and population densities for 1990, 2000, and 2010; wildland vegetation percentages for 1992, 2001, and 2011; as well as WUI classes in 1990, 2000, and 2010.
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: Financial support was provided by the USDA Forest Service under the National Fire Plan. Funding also provided by USDA Forest Service, Northern Research Station. Data obtained from the U.S. Census and USGS National Land Cover Data, see source citations noted below for more details.
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Description: Polygons delineating Federal, Tribal, State, and Local government land ownership/management at a scale of 1:24,000 within Oregon. The Ownership Land Management feature class provides a current representation of statewide land management and ownership status by integrating the best available data for Federal, State and County sources. This is not a legal representation and should not be considered an official source of property ownership or management. The attributes include information on who is the title holder as well as the entity responsible for managing the property.
Copyright Text: ODF compiled data from Oregon State Agencies, BLM and County Cadastral datasets.
Description: Aspect represents the azimuth of the sloped surfaces across a landscape. This dataset was derived from the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The aspect grid defines downslope direction. Derived aspect values were reclassified into 0, 90, 180, and 270, with -1 values classified as 180. These four classes are sufficient to support fire behavior modeling. This dataset was subset for use in the West Wide Wildfire Risk Assessment. The data was subset by: Sanborn Solutions 610 SW Broadway, Ste #310 Portland, OR 97205 (503)228-8708
Description: Slope represents the percent change of elevation over a specific area. This dataset was derived from the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The slope grid was generated from the filled DEM using the "slope" function. The units of measurement were derived in percent rise. These percent slope values were then reclassified into values 0, 22, 32, 44, 64 and 90 for use in the West Wide Wildfire Risk Assessment (WWA) project. This dataset was subset for use in the WWA. This dataset was subset for use in the West Wide Wildfire Risk Assessment. The data was subset by: Sanborn Solutions 610 SW Broadway, Ste #310 Portland, OR 97205 (503)228-8708
Description: Elevation represents land height, in meters, above mean sea level. The Elevation datasets were acquired from the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The filled DEM grid was created from the original elevation data by filling all of the depressions, or sinks, in the original DEM. To create this grid, an algorithm was used to loacted and fill all depressions or sinks where there was no flow from pixel to pixel. During this process, efforts were made to maintain natural sink features. The units of measurement for Elevation are meters above mean sea level.
This dataset was subset for use in the West Wide Wildfire Risk Assessment.
The data was subset by:
Sanborn Solutions
610 SW Broadway, Ste #310
Portland, OR 97205
(503)228-8708
Description: This EVT dataset is a subset of the LANDFIRE existing vegeation type fuel data. The data was subset for use in the West Wide Wildfire Risk Assessment. The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to http://www.landfire.gov/participate_acknowledgements.php for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - using C5 software. Life-form specific cross validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific EVT spatial data layers. The final EVT and Environemtanl Site Potential (ESP) layers are compared and rectified through a series of QA/QC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone. REFRESH 2008 (lf_1.1.0):Refresh 2008 (lf_1.1.0) used Refresh 2001 (lf_1.0.5) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2001. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in Refresh 2008 (lf_1.1.0) is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Refresh events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs. The data was subset by: Sanborn Solutions 610 SW Broadway, Ste #310 Portland, OR 97205 (503)228-8708
Service Item Id: a8fe1562ca8e4c5e8c43523983e2ff5b
Copyright Text: Data have been collected and analyzed by teams at both USGS EROS, Sioux Falls, SD and at the USFS, Rocky Mountain Research Station, Missoula, MT. Depending on the data set described primary responsibility may reside with USGS EROS or with USFS. Contact information will be listed in the Contact Section and in the Metadata Reference section with regards to the primary responsibility.
Description: This EVT dataset is a subset of the LANDFIRE existing vegeation type fuel data. The data was subset for use in the West Wide Wildfire Risk Assessment. The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to http://www.landfire.gov/participate_acknowledgements.php for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - using C5 software. Life-form specific cross validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific EVT spatial data layers. The final EVT and Environemtanl Site Potential (ESP) layers are compared and rectified through a series of QA/QC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone. REFRESH 2008 (lf_1.1.0):Refresh 2008 (lf_1.1.0) used Refresh 2001 (lf_1.0.5) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2001. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in Refresh 2008 (lf_1.1.0) is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Refresh events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs. The data was subset by: Sanborn Solutions 610 SW Broadway, Ste #310 Portland, OR 97205 (503)228-8708
Copyright Text: Data have been collected and analyzed by teams at both USGS EROS, Sioux Falls, SD and at the USFS, Rocky Mountain Research Station, Missoula, MT. Depending on the data set described primary responsibility may reside with USGS EROS or with USFS. Contact information will be listed in the Contact Section and in the Metadata Reference section with regards to the primary responsibility.
Description: Where People Live reclassed (WPLRC) represent housing density per 30 sq meters recoded into 7 classes (see the WPL metadata for more information). The classes are: 1 (0.000001 to 6.177635) Less than 1 HU / 40 acres 2 (6.177635 to 12.355269) 1 HU / 40 acres to 1 HU / 20 acres 3 (12.355269 to 24.710538) 1 HU / 20 acres to 1 HU / 10 acres 4 (24.710538 to 49.42) 1 HU / 10 acres to 1 HU / 5 acres 5 (49.42 to 123.55269) 1 HU / 5 acres to 1 HU / 2 acres 6 (123.55269 to 741.31614) 1 HU / 2 acres to 3 HU / acre 7 (741.31614 to 100,000) More than 3 HU / acre This dataset was developed for the West Wide Wildfire Risk Assessment (WWA) project.
Description: Where People Live (WPL) represent housing density per 30 sq meters. This dataset was developed for the West Wide Wildfire Risk Assessment (WWA) project. The Where People Live data set was developed using advanced modeling techniques based on the LandScan population count data available from the Department of Homeland Security, HSIP Freedom Data Set. The HSIP Freedom data set was available at no cost to U.S. local, state, territorial, tribal and Federal government agencies. See the following: (http://www.dhs.gov/files/programs/gc_1156888108137.shtm). Developed by the Oak Ridge National Laboratory, LandScan has been developed using sophisticated algorithms that integrate high-resolution imagery, nighttime lights imagery, and other local spatial data to identify daytime and nighttime population distributions. The Oak Ridge National Laboratory LandScan web site has a more detailed description of the data set at http://www.ornl.gov/sci/landscan/. Note the Where People Live data layer includes categories up to greater than three housing units per acre or greater, one housing unit on 1/3rd of an acre. This, in many cases, includes dense urban areas.