36 datasets found
  1. CA Geographic Boundaries

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    shp
    Updated May 3, 2024
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    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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    shp(136046), shp(10153125), shp(2597712)Available download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  2. T

    Five Bay Area County Boundaries for the Bay Area Regional Climate Action...

    • data.bayareametro.gov
    Updated Jul 18, 2023
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    California Air Resources Board (2023). Five Bay Area County Boundaries for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map [Dataset]. https://data.bayareametro.gov/Jurisdiction-Boundaries/Five-Bay-Area-County-Boundaries-for-the-Bay-Area-R/7e6x-iexa
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    tsv, csv, application/rssxml, xml, application/rdfxml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    California Air Resources Board
    Area covered
    San Francisco Bay Area
    Description

    Shapefile contains county boundaries for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

    The original shapefile was downloaded from the California Air Resources Board, Geographical Information System (GIS) Library. The “Select Layer By Attribute” tool in ArcMap was used to select only those five counties that are part of the Bay Area Regional Climate Action Planning Initiative. No display filters were used to visualize the features in the final map. To learn more about the methodology behind the original dataset, please visit: https://ww2.arb.ca.gov/geographical-information-system-gis-library

    The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

  3. San Francisco Bay Water Quality Improvement Fund County Polygons,...

    • catalog.data.gov
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Region 9 (Point of Contact); Tele Atlas(R) (Publisher) (2025). San Francisco Bay Water Quality Improvement Fund County Polygons, California, 2007, Tele Atlas [Dataset]. https://catalog.data.gov/dataset/san-francisco-bay-water-quality-improvement-fund-county-polygons-california-2007-tele-atlas13
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Tele Atlashttp://tomtom.com/
    Area covered
    San Francisco Bay, California
    Description

    This layer contains 58 polygon features representing California counties clipped from the national Tele Atlas county dataset. Dynamap(R)/2000 County Boundary file with a shoreline buffer is a non-generalized polygon layer that represents all U.S. government-defined entities named County. A County is a type of governmental unit that is the primary legal subdivision of every U.S. state. This file contains a 'shoreline buffer' that extends out from the shoreline to the political limits of the census entity. The political limit is usually 12 miles or less from the shoreline into the abutting water feature. The cartographical representation of a shoreline buffer is visibly apparent for census areas that border the Pacific Ocean. These features are incorporated in the San Francisco Bay Water Quality Improvement Fund Story Map, an interactive series of maps and QlikSense graphics highlighting the competitive grant program which supports projects to protect and restore San Francisco Bay. The application can be found on the EPA GeoPlatform at: https://epa.maps.arcgis.com/apps/MapSeries/index.html?appid=db223d22741140b9b10baf7e91815271 The story map is also embedded in the following EPA web page: https://www2.epa.gov/sfbay-delta/sf-bay-water-quality-improvement-fund-interactive-project-map

  4. d

    Preliminary Geologic Map of the Minden Quadrangle, Douglas County, Nevada,...

    • datadiscoverystudio.org
    pdf, zip
    Updated Jan 1, 2009
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    Larry J. Garside; David A. John; James C. Yount; Alan R. Ramelli (2009). Preliminary Geologic Map of the Minden Quadrangle, Douglas County, Nevada, and Alpine County, California [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/275772ae27ad4f0980b5f5ecbbf4d771/html
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    pdf, zipAvailable download formats
    Dataset updated
    Jan 1, 2009
    Authors
    Larry J. Garside; David A. John; James C. Yount; Alan R. Ramelli
    Area covered
    Description

    Nevada Bureau of Mines and Geology OFR 03-13 (2d ed.); A 1:24,000 Preliminary Geologic Map of the Minden Quadrangle, Douglas County, Nevada, Alpine County, California. Detailed geologic mapping by Alan R. Ramelli, James C. Yount, David A. John, and Larry J. Garside. Fieldwork 1978-80, 1993-94, 2002-03. Geologic mapping was supported by the U.S. Geological Survey COGEOMAP Program and STATEMAP Program. The descriptions of bedrock rock units and tables of chemistry and age data are intended to supplement the preliminary geologic map of the Minden quadrangle. Descriptions of plutonic rocks are modified slightly from Armin and John (1983), rock age data are from Evernden and Kistler (1970), Armin and John (1983), and Robinson and Kistler (1986). Mineral modes and rock chemical data are from Armin and John (1983). To download and view this map resource, associated map geo-units descriptions PDF, and GIS zipped data-set, please see the links provided.

  5. d

    Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858]

    • catalog.data.gov
    • data.ca.gov
    • +2more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858] [Dataset]. https://catalog.data.gov/dataset/vegetation-modoc-plateau-applegate-areas-2016-ds2858-a7a31
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Area covered
    Modoc Plateau
    Description

    The mapping study area was divided into two areas of Modoc and Lassen Counties. The Applegate area consists of approximately 84,574 acres, and work was performed on the project between 2017 and 2021. The Eagle Lake area, consists of approximately 66,402 acres in Lassen County, and Work was performed on the project between 2019 and 2021. The eastern portion of the Applegate area used the 2016 NAIP imagery as a base and the Eagle Lake and western portion of Applegate area were mapped using the 2018 NAIP imagery.The vegetation classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on new surveys and classification work conducted in collaboration with CDFW VegCAMP. The map was produced applying heads-up digitizing techniques using a base of one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 1 acre; exceptions are made for wetlands and riparian types, which were mapped to a 1/4 acre MMU.Field reconnaissance and accuracy assessment enhanced map quality. There were a total of 91 classes mapped in the Applegate area. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 92.2 percent at the 60-100% Correct or Acceptable level, and 86.4 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 88.1 percent at the 60-100% Correct or Acceptable level, and 79.1 percent at the 80-100% Correct or Acceptable level. For the Eagle Lake area, there were a total of 78 mapping classes. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 86.3 percent at the 60-100% Correct or Acceptable level, and 81.9 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 84.0 percent at the 60-100% Correct or Acceptable level, and 72.4 percent at the 80-100% Correct or Acceptable level. See the contingency tablesfor more detailed informationCitations:Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of and Lassen County, California for the Bureau of Land Management (Eagle Lake Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.

  6. Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940] [Dataset]. https://catalog.data.gov/dataset/vegetation-slinkard-and-little-antelope-wildlife-area-ds2940-abfb2
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation map of Slinkard Valley and Little Antelope Valley Wildlife Areas in Mono County, California. The vegetation classification was derived from data collected in the field during the periods August 28-31, 2017, September 10-14, 2018, and November 5-9, 2018. Vegetation polygons were drawn using heads-up “manual” digitizing using the 2016 National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data as the base imagery. Supplemental imagery included NAIP true color and CIR 1-meter resolution data from 2009-2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland and riparian types, which have an MMU of ½ acre. Mapping is to the National Vegetation Classification System (NVCS) hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data.Field accuracy assessment surveys were collected by CDFW regional and VegCAMP staff in the fall of 2019. It was determined that the map had an overall accuracy of 89.3% before suggested adjustments were made to typing and line-work in response to the accuracy assessment. As part of the mapping process for this project we also implemented a drone component. The purpose was to test the use of drone photos to enhance and extend reconnaissance efforts for mapping, help with determining signatures on coarser imagery, use images taken above surveys as a check on cover estimates, and test whether drone imagery would allow for mapping herbaceous vegetation at a finer scale.Citations:Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.Vegetation Classification and Mapping Program, CA Dept. of Fish and Wildlife. Vegetation Map and Classification of Slinkard Valley and Little Antelope Valley Wildlife Areas, Mono County, California. California Department of Fish and Wildlife, Vegetation and Classification and Mapping Program; 8/2021.

  7. a

    Vegetation - Modoc Plateau - Devil's Garden, Adin Mountains, Jess Valley...

    • hub.arcgis.com
    • data.ca.gov
    • +5more
    Updated Apr 16, 2021
    + more versions
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    California Department of Fish and Wildlife (2021). Vegetation - Modoc Plateau - Devil's Garden, Adin Mountains, Jess Valley [ds2910] [Dataset]. https://hub.arcgis.com/maps/CDFW::vegetation-modoc-plateau-devils-garden-adin-mountains-jess-valley-ds2910-1
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    Dataset updated
    Apr 16, 2021
    Dataset authored and provided by
    California Department of Fish and Wildlife
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    CSU Chicos Geographical Information Center (GIC), with assistance from CDFWs Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation and land use map of portions of the Modoc Plateau in California. The map follows the National Vegetation Mapping Classification standards as well A Manual of California Vegetation and covers the eco-region subsections Devils Garden and Adin Mountains. This map covers approximately 855,998 acres in Lassen and Modoc Counties. It was produced using a base of true-color 2018 one-meter National Agricultural Imagery Program (NAIP) imagery. Polygons were assessed for vegetation types, percent covers, clearing disturbance, invasive plant cover and other attributes. Overall fuzzy map accuracy was 81.6%, but individual vegetation types varied in their accuracy. Please see the mapping report and the contingency tables for details to determine confidence in individual types.For detailed information please refer to the following reports: Boul, R., T. Keeler-Wolf, J. Ratchford, T. Haynes, D. Hickson, R. Yacoub, B. Harbert, J. Evens. 2021. Classification of the Vegetation of Modoc and Lassen Counties, California. Vegetation Classification and Mapping Program, California Department of Fish and Wildlife, Sacramento, CA ; https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=183030Kreb, Brian and Geographical Information Center, California State University, Chico. Mapping Standards, Field Data Collection, and Accuracy Assessment for Vegetation Mapping in Modoc and Lassen Counties, California. Califoria Department of Fish and Wildlife; 2/1/2021. https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=189051

  8. d

    Geologic Map of the Las Vegas Area, Clark County, Nevada, and Inyo County,...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Aug 26, 2005
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    William R. Page, Scott C. Lundstrom, Anita G. Harris, Victoria E. Langenheim, Jeremiah B. Workman, Shannon A. Mahan, James B. Paces, Gary L. Dixon, Peter D. Rowley, B.C. Burchfiel, John W. Bell, and Eugene I. Smith (2005). Geologic Map of the Las Vegas Area, Clark County, Nevada, and Inyo County, California, USGS SIM2814 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/b542e54f817749209c36d0d941b6839d/html
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    Dataset updated
    Aug 26, 2005
    Authors
    William R. Page, Scott C. Lundstrom, Anita G. Harris, Victoria E. Langenheim, Jeremiah B. Workman, Shannon A. Mahan, James B. Paces, Gary L. Dixon, Peter D. Rowley, B.C. Burchfiel, John W. Bell, and Eugene I. Smith
    Area covered
    Description

    1:100,000 scale Geologic Map of the Las Vegas Area, Clark County, Nevada, and Inyo County, California, USGS SIM2814. Detailed geologic mapping by William R. Page, Scott C. Lundstrom, Anita G. Harris, Victoria E. Langenheim, Jeremiah B. Workman, Shannon A. Mahan, James B. Paces, Gary L. Dixon, Peter D. Rowley, B.C. Burchfiel, John W. Bell, and Eugene I. Smith. Prepared in cooperation with the Southern Nevada Water Authority.

  9. d

    Data from: California State Waters Map Series--Offshore of Bolinas Web...

    • search.dataone.org
    • data.usgs.gov
    • +5more
    Updated Jun 1, 2017
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    Guy R. Cochrane; Peter Dartnell; Samuel Y. Johnson; H. Gary Greene; Mercedes D. Erdey; Nadine E. Golden; Stephen R. Hartwell; Michael W. Mansion; Ray W. Sliter; Charles A. Endris; Janet T. Watt; Stephanie L. Ross; Rikk G. Kvitek; Eleyne L. Phillips; Terry R. Bruns; John L. Chin (2017). California State Waters Map Series--Offshore of Bolinas Web Services [Dataset]. https://search.dataone.org/view/0494aace-8c77-4962-81d7-cb4b4ffc8a33
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Guy R. Cochrane; Peter Dartnell; Samuel Y. Johnson; H. Gary Greene; Mercedes D. Erdey; Nadine E. Golden; Stephen R. Hartwell; Michael W. Mansion; Ray W. Sliter; Charles A. Endris; Janet T. Watt; Stephanie L. Ross; Rikk G. Kvitek; Eleyne L. Phillips; Terry R. Bruns; John L. Chin
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands†from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Bolinas map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photog... Visit https://dataone.org/datasets/0494aace-8c77-4962-81d7-cb4b4ffc8a33 for complete metadata about this dataset.

  10. A

    ‘Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858]’ analyzed by...

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858]’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-vegetation-modoc-plateau-applegate-areas-2016-ds2858-9624/8ba030d5/?iid=030-541&v=presentation
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Modoc Plateau
    Description

    Analysis of ‘Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ef36aec1-6595-485a-9d73-9e2b7c5d9283 on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    The mapping study area was divided into two areas of Modoc and Lassen Counties. The Applegate area consists of approximately 84,574 acres, and work was performed on the project between 2017 and 2021. The Eagle Lake area, consists of approximately 66,402 acres in Lassen County, and Work was performed on the project between 2019 and 2021. The eastern portion of the Applegate area used the 2016 NAIP imagery as a base and the Eagle Lake and western portion of Applegate area were mapped using the 2018 NAIP imagery.The vegetation classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on new surveys and classification work conducted in collaboration with CDFW VegCAMP. The map was produced applying heads-up digitizing techniques using a base of one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 1 acre; exceptions are made for wetlands and riparian types, which were mapped to a 1/4 acre MMU.Field reconnaissance and accuracy assessment enhanced map quality. There were a total of 91 classes mapped in the Applegate area. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 92.2 percent at the 60-100% Correct or Acceptable level, and 86.4 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 88.1 percent at the 60-100% Correct or Acceptable level, and 79.1 percent at the 80-100% Correct or Acceptable level. For the Eagle Lake area, there were a total of 78 mapping classes. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 86.3 percent at the 60-100% Correct or Acceptable level, and 81.9 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 84.0 percent at the 60-100% Correct or Acceptable level, and 72.4 percent at the 80-100% Correct or Acceptable level. See the contingency tablesfor more detailed informationCitations:Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of and Lassen County, California for the Bureau of Land Management (Eagle Lake Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.

    --- Original source retains full ownership of the source dataset ---

  11. d

    Digital Version of 'Open-File Report 92-179: Geologic Map of the Cow Cove...

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 29, 2016
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    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler) (2016). Digital Version of 'Open-File Report 92-179: Geologic Map of the Cow Cove Quadrangle, San Bernardino County, California' [Dataset]. https://search.dataone.org/view/20245d46-97c2-478f-9e26-f9ba792edabd
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler)
    Area covered
    Variables measured
    Dip, LTYPE, PTYPE, PTTYPE, Strike, pttype, sampno
    Description

    This is a digital map database version of a previous U.S. Geological Survey Open-File Report, OF92-179. It contains 3 Arc/Info formatted coverages, distributed in Arc Interchange format, a plottable map representation of the database at 1:24,000 scale in Postscript and Adobe PDF formats, and the original map explanation pamphlet in text, Postscript, and Adobe PDF formats.

  12. A

    ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ analyzed...

    • analyst-2.ai
    Updated Sep 2, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-vegetation-slinkard-and-little-antelope-wildlife-area-ds2940-f195/ca061b3a/?iid=039-253&v=presentation
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    Dataset updated
    Sep 2, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/121c7760-19b6-4d74-a214-6806e22df136 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation map of Slinkard Valley and Little Antelope Valley Wildlife Areas in Mono County, California. The vegetation classification was derived from data collected in the field during the periods August 28-31, 2017, September 10-14, 2018, and November 5-9, 2018. Vegetation polygons were drawn using heads-up “manual” digitizing using the 2016 National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data as the base imagery. Supplemental imagery included NAIP true color and CIR 1-meter resolution data from 2009-2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland and riparian types, which have an MMU of ½ acre. Mapping is to the National Vegetation Classification System (NVCS) hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data.Field accuracy assessment surveys were collected by CDFW regional and VegCAMP staff in the fall of 2019. It was determined that the map had an overall accuracy of 89.3% before suggested adjustments were made to typing and line-work in response to the accuracy assessment. As part of the mapping process for this project we also implemented a drone component. The purpose was to test the use of drone photos to enhance and extend reconnaissance efforts for mapping, help with determining signatures on coarser imagery, use images taken above surveys as a check on cover estimates, and test whether drone imagery would allow for mapping herbaceous vegetation at a finer scale.Citations:Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.Vegetation Classification and Mapping Program, CA Dept. of Fish and Wildlife. Vegetation Map and Classification of Slinkard Valley and Little Antelope Valley Wildlife Areas, Mono County, California. California Department of Fish and Wildlife, Vegetation and Classification and Mapping Program; 8/2021.

    --- Original source retains full ownership of the source dataset ---

  13. d

    Data from: Digital Version of 'Open-File Report 92-183: Geologic Map of the...

    • search.dataone.org
    Updated Dec 1, 2016
    + more versions
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    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler) (2016). Digital Version of 'Open-File Report 92-183: Geologic Map of the Granite Spring Quadrangle, San Bernardino County, California' [Dataset]. https://search.dataone.org/view/76354f9e-4af7-466e-b770-983d38ab3f14
    Explore at:
    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler)
    Area covered
    Variables measured
    Dip, LTYPE, PTYPE, PTTYPE, Strike, pttype, sampno
    Description

    This is a digital map database version of a previous U.S. Geological Survey Open-File Report, OF92-183. It contains 3 Arc/Info formatted coverages, distributed in Arc Interchange format, a plottable map representation of the database at 1:24,000 scale in Postscript and Adobe PDF formats, and the original map explanation pamphlet in text, Postscript, and Adobe PDF formats.

  14. d

    Digital Version of 'Open-File Report 92-182: Geologic Map of the Marl...

    • search.dataone.org
    Updated Oct 29, 2016
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    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler) (2016). Digital Version of 'Open-File Report 92-182: Geologic Map of the Marl Mountains Quadrangle, San Bernardino County, California' [Dataset]. https://search.dataone.org/view/b9aa80c4-c7dd-4b67-9e9b-f3e4eb59b91e
    Explore at:
    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Howard G. Wilshire (author); David R. Bedford (digital compiler); Teresa Coleman (digital compiler)
    Area covered
    Variables measured
    Dip, LTYPE, PTYPE, PTTYPE, Strike, pttype, sampno
    Description

    This is a digital map database version of a previous U.S. Geological Survey Open-File Report, OF92-182. It contains 3 Arc/Info formatted coverages, distributed in Arc Interchange format, a plottable map representation of the database at 1:24,000 scale in Postscript and Adobe PDF formats, and the original map explanation pamphlet in text, Postscript, and Adobe PDF formats.

  15. A

    ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ analyzed...

    • analyst-2.ai
    Updated Sep 2, 2021
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-vegetation-slinkard-and-little-antelope-wildlife-area-ds2940-7f6b/cea4bad9/?iid=039-234&v=presentation
    Explore at:
    Dataset updated
    Sep 2, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Vegetation - Slinkard and Little Antelope Wildlife Area [ds2940]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b40014ff-65a4-49fe-9ae1-364b532cbb28 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation map of Slinkard Valley and Little Antelope Valley Wildlife Areas in Mono County, California. The vegetation classification was derived from data collected in the field during the periods August 28-31, 2017, September 10-14, 2018, and November 5-9, 2018. Vegetation polygons were drawn using heads-up “manual” digitizing using the 2016 National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data as the base imagery. Supplemental imagery included NAIP true color and CIR 1-meter resolution data from 2009-2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland and riparian types, which have an MMU of ½ acre. Mapping is to the National Vegetation Classification System (NVCS) hierarchy association, alliance, or group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data.Field accuracy assessment surveys were collected by CDFW regional and VegCAMP staff in the fall of 2019. It was determined that the map had an overall accuracy of 89.3% before suggested adjustments were made to typing and line-work in response to the accuracy assessment. As part of the mapping process for this project we also implemented a drone component. The purpose was to test the use of drone photos to enhance and extend reconnaissance efforts for mapping, help with determining signatures on coarser imagery, use images taken above surveys as a check on cover estimates, and test whether drone imagery would allow for mapping herbaceous vegetation at a finer scale.Citations:Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.Vegetation Classification and Mapping Program, CA Dept. of Fish and Wildlife. Vegetation Map and Classification of Slinkard Valley and Little Antelope Valley Wildlife Areas, Mono County, California. California Department of Fish and Wildlife, Vegetation and Classification and Mapping Program; 8/2021.

    --- Original source retains full ownership of the source dataset ---

  16. d

    Data from: Geologic Map Database of the El Mirage Lake Area, San Bernardino...

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Dec 1, 2016
    + more versions
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    Miller, David M.; Bedford, David R. (2016). Geologic Map Database of the El Mirage Lake Area, San Bernardino and Los Angeles Counties, California [Dataset]. https://search.dataone.org/view/02d8aaef-352f-41bc-9210-4e5476948ff3
    Explore at:
    Dataset updated
    Dec 1, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Miller, David M.; Bedford, David R.
    Area covered
    Variables measured
    LTYPE, PTYPE, ITEMID
    Description

    This geologic map database for the El Mirage Lake area describes geologic materials for the dry lake, parts of the adjacent Shadow Mountains and Adobe Mountain, and much of the piedmont extending south from the lake upward toward the San Gabriel Mountains. This area lies within the western Mojave Desert of San Bernardino and Los Angeles Counties, southern California. The area is traversed by a few paved highways that service the community of El Mirage, and by numerous dirt roads that lead to outlying properties. An off-highway vehicle area established by the Bureau of Land Management encompasses the dry lake and much of the land north and east of the lake. The physiography of the area consists of the dry lake, flanking mud and sand flats and alluvial piedmonts, and a few sharp craggy mountains. This digital geologic map database, intended for use at 1:24,000- scale, describes and portrays the rock units and surficial deposits of the El Mirage Lake area. It was prepared as part of a water-resource assessments of the area, describing and interpreting surface geology that provides information to help understand distribution and extent of deeper groundwater-bearing units. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles. The map database includes detailed geology of surface and bedrock deposits, which represent a significant update from previous bedrock geologic maps by Dibblee (1960) and Troxel and Gunderson (1970), and the surficial geologic map of Ponti and Burke (1980); it incorporates a fringe of the detailed bedrock mapping in the Shadow Mountains by Martin (1992).

  17. d

    California State Waters Map Series--Offshore of Half Moon Bay Web Services

    • search.dataone.org
    • data.usgs.gov
    • +4more
    Updated Jun 1, 2017
    + more versions
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    Guy R. Cochrane; Peter Dartnell; H. Gary Greene; Samuel Y. Johnson; Nadine E. Golden; Stephen R. Hartwell; Bryan E. Dieter; Michael W. Mansion; Ray W. Sliter; Stephanie L. Ross; Janet T. Watt; Charles A. Endris; Rikk G. Kvitek; Brian D. Edwards; Eleyne L. Phillips; Mercedes D. Erdey; Carrie K. Bretz; John L. Chin; Carrie K. Bretz (2017). California State Waters Map Series--Offshore of Half Moon Bay Web Services [Dataset]. https://search.dataone.org/view/30b5b382-4e43-4723-b06b-51faa842c4c1
    Explore at:
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Guy R. Cochrane; Peter Dartnell; H. Gary Greene; Samuel Y. Johnson; Nadine E. Golden; Stephen R. Hartwell; Bryan E. Dieter; Michael W. Mansion; Ray W. Sliter; Stephanie L. Ross; Janet T. Watt; Charles A. Endris; Rikk G. Kvitek; Brian D. Edwards; Eleyne L. Phillips; Mercedes D. Erdey; Carrie K. Bretz; John L. Chin; Carrie K. Bretz
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands†from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Half Moon Bay map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and ... Visit https://dataone.org/datasets/30b5b382-4e43-4723-b06b-51faa842c4c1 for complete metadata about this dataset.

  18. Utilities Fire Threat Areas

    • hub.arcgis.com
    • wifire-data.sdsc.edu
    • +1more
    Updated Apr 17, 2019
    + more versions
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    CA Governor's Office of Emergency Services (2019). Utilities Fire Threat Areas [Dataset]. https://hub.arcgis.com/maps/5a0aac0357c64ec48a6dc42e1a6bc3ca
    Explore at:
    Dataset updated
    Apr 17, 2019
    Dataset provided by
    California Governor's Office of Emergency Services
    Authors
    CA Governor's Office of Emergency Services
    Area covered
    Description

    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property. Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies. The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.Additional information can be found here.

  19. d

    Data from: California State Waters Map Series--Offshore of Pacifica Web...

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Sep 14, 2017
    + more versions
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    Brian D. Edwards; Eleyne L. Phillips; Peter Dartnell; H. Gary Greene; Carrie K. Bretz; Rikk G. Kvitek; Stephen R. Hartwell; Samuel Y. Johnson; Guy R. Cochrane; Bryan E. Dieter; Ray W. Sliter; Stephanie L. Ross; Nadine E. Golden; Janet T. Watt; John L. Chin; Mercedes D. Erdey; Lisa M. Krigsman; Michael W. Mansion; Charles A. Endris (2017). California State Waters Map Series--Offshore of Pacifica Web Services [Dataset]. https://search.dataone.org/view/1cbe72b7-7e57-415e-ab47-bb5082e7f184
    Explore at:
    Dataset updated
    Sep 14, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Brian D. Edwards; Eleyne L. Phillips; Peter Dartnell; H. Gary Greene; Carrie K. Bretz; Rikk G. Kvitek; Stephen R. Hartwell; Samuel Y. Johnson; Guy R. Cochrane; Bryan E. Dieter; Ray W. Sliter; Stephanie L. Ross; Nadine E. Golden; Janet T. Watt; John L. Chin; Mercedes D. Erdey; Lisa M. Krigsman; Michael W. Mansion; Charles A. Endris
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands†from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore Pacifica map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photogra... Visit https://dataone.org/datasets/1cbe72b7-7e57-415e-ab47-bb5082e7f184 for complete metadata about this dataset.

  20. n

    CPUC Fire Threat

    • cwpp.napafirewise.org
    Updated Aug 24, 2022
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    Napa Communities Firewise Foundation (2022). CPUC Fire Threat [Dataset]. https://cwpp.napafirewise.org/maps/14a6e01da9fb400ebf9abe7eeefca855
    Explore at:
    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Napa Communities Firewise Foundation
    Area covered
    Description

    California Public Utilities Commission statewide map identifying areas where there is increased risk for Utility associated wildfires.In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006. A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.See this link for more details: https://dms-usa.maps.arcgis.com/home/item.html?id=5a0aac0357c64ec48a6dc42e1a6bc3ca

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California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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CA Geographic Boundaries

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54 scholarly articles cite this dataset (View in Google Scholar)
shp(136046), shp(10153125), shp(2597712)Available download formats
Dataset updated
May 3, 2024
Dataset authored and provided by
California Department of Technologyhttp://cdt.ca.gov/
Description

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

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