14 datasets found
  1. a

    Lake County Parcel

    • california-parcel-update-agis.hub.arcgis.com
    Updated Apr 28, 2023
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    Advanced GIS Lab (2023). Lake County Parcel [Dataset]. https://california-parcel-update-agis.hub.arcgis.com/maps/6876439e560c457b95e63d99659ed04d
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    Dataset updated
    Apr 28, 2023
    Dataset authored and provided by
    Advanced GIS Lab
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Data Source: The data was downloaded from the Lake County, CA GIS portal, the 'parcel.shp' and 'zoning.shp' were spatially joined. Data was enriched with Fire Hazard Zone, Flood Risk Zone, Fault Zones, Landslide Risk, Liquifaction Zones, Drought Conditions, and the potential for Renewable Energy (Solar Radiation and Wind Speed) layers, in addition to the layers provided by the county. The table schema is detailed below.

  2. BOE TRA 2025 co17

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated Jun 9, 2025
    + more versions
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    California Department of Tax and Fee Administration (2025). BOE TRA 2025 co17 [Dataset]. https://hub.arcgis.com/datasets/CDTFA::lake-2025-roll-year?layer=1
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Lake County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  3. c

    BOE TRA 2022 co17

    • gis.data.ca.gov
    • hub.arcgis.com
    • +2more
    Updated May 20, 2022
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    California Department of Tax and Fee Administration (2022). BOE TRA 2022 co17 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::lake-2022-roll-year?appid=cf412a17daaa47bca93c6d6b7e77aff0&edit=true&layer=1
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    Dataset updated
    May 20, 2022
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Lake County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  4. Vegetation Map - Johnson Valley - CDFW [ds1019]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +6more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Vegetation Map - Johnson Valley - CDFW [ds1019] [Dataset]. https://catalog.data.gov/dataset/vegetation-map-johnson-valley-cdfw-ds1019-5ef09
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Area covered
    Johnson Valley
    Description

    The 17,158 acre Johnson Valley project area is located in San Bernardino County, 32 miles east of Victorville, CA bisected by highway 247. The fine-scale vegetation map was created as part of a collaborative project between the United States Geological Survey (USGS) and the Vegetation Classification and Mapping Program of the California Department of Fish and Wildlife (CDFW) to show the correlation between vegetation and geomorphology. The vegetation mapping types are based on the vegetation classification that was developed for the larger Desert Renewable Energy Conservation Plan (DRECP) mapping project (CDFW 2013). The vegetation classification was developed using a compilation of data collected for several projects including Anza-Borrego Desert State Park and Environs (Keeler-Wolf et al. 1998), the Mojave Desert Ecosystem Program''s Vegetation Database (Thomas et al. 2004), Vegetation of Joshua Tree National Park (La Doux et al. 2013), and Vegetation Classification and Mapping at Lake Mead National Recreation Area, Mojave National Preserve and Death Valley National Park (in progress, draft as of 2014).

  5. a

    BOE TRA 2024 co17

    • gis-california.opendata.arcgis.com
    • gis.data.ca.gov
    Updated May 29, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co17 [Dataset]. https://gis-california.opendata.arcgis.com/datasets/CDTFA::boe-tra-2024-co17
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Lake County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  6. d

    Geologic Map of the South Lake Tahoe Quadrangle, Douglas County, Nevada,...

    • datadiscoverystudio.org
    zip
    Updated Sep 9, 2013
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    J. L. Burnett; Harold F. Bonham, Jr (2013). Geologic Map of the South Lake Tahoe Quadrangle, Douglas County, Nevada, Alpine and Eldorado Counties, California, NBMG 2Ag [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6127764e36f5491ca81976b02b1a0011/html
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    zipAvailable download formats
    Dataset updated
    Sep 9, 2013
    Authors
    J. L. Burnett; Harold F. Bonham, Jr
    Area covered
    Description

    1:24,000 scale Geology of the South Lake Tahoe Quadrangle, Douglas County, Nevada, Alpine and Eldorado Counties, California, NBMG, South Lake Tahoe Folio 2Ag. Detailed geologic mapping by H. F. Bonham Jr., and J. L. Burnett. Geology of the South Lake Tahoe 7.5' Quadrangle, Douglas County, Nevada, Alpine and Eldorado Counties, California, with description of 25 geologic units. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for the printed geologic map. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross-sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends.

  7. n

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

    • cmr.earthdata.nasa.gov
    Updated Apr 21, 2017
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    (2017). Geologic Map Database of the El Mirage Lake Area, San Bernardino and Los Angeles Counties, California [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231549328-CEOS_EXTRA.html
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1999 - Dec 31, 1999
    Area covered
    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, southeastern California (see Fig. 1). 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. The map database was prepared to aid in a water-resource assessment of the area by providing surface geologic information with which deepergroundwater-bearing units may be understood. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles (see Fig. 2). The map 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). The map data were assembled as a digital database using ARC/INFO to enable wider applications than traditional paper-product geologic maps and to provide for efficient meshing with other digital data bases prepared by the U.S. Geological Survey's Southern California Areal Mapping Project.

    [Summary provided by the USGS.]

  8. BOE TRA 2023 co17

    • gis-california.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 19, 2023
    + more versions
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    California Department of Tax and Fee Administration (2023). BOE TRA 2023 co17 [Dataset]. https://gis-california.opendata.arcgis.com/datasets/CDTFA::boe-tra-2023-co17/about
    Explore at:
    Dataset updated
    May 19, 2023
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Lake County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  9. g

    Grey County 2019 LiDAR Tile Index

    • maps.grey.ca
    • anrgeodata.vermont.gov
    • +1more
    Updated May 5, 2021
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    Grey County (2021). Grey County 2019 LiDAR Tile Index [Dataset]. https://maps.grey.ca/datasets/grey-county-2019-lidar-tile-index/api
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    Dataset updated
    May 5, 2021
    Dataset authored and provided by
    Grey County
    Area covered
    Description

    Light Detection and Ranging (LiDAR) measures the return time of a laser light to reflect off objects on the ground to determine surface and ground elevations and topography. Grey County acquired LiDAR for the Georgian Bay lake fringe watersheds of Grey County in 2019 in collaboration with the Grey Sauble Conservation Authority and the Town of the Blue Mountains.

    This LiDAR elevation data is publicly available for non-commercial use to agencies such as any municipality, contractor working for a member municipality or a partner(s) for a specific project, educational institution, non-profit agency or individual for research purposes. Any agency who use the data for commercial use can purchase the data at a cost of $250 per 1 square kilometer tile. The data includes Calibrated and Classified Raw Data in LAS format, Digital Elevation Model (DEM) grid files in elevation (TIF format) with cell size of 1m, Digital Surface Model (DSM) grid files in elevation (TIF format) with cell size of 1m, and 0.5m contours (SHP format).

    You can view the coverage area and make a request to acquire the data by completing the web form linked below:

    Grey County LiDAR Data Request Form

    Requests anywhere within the Town of the Blue Mountains should be directed to gismaps@thebluemountains.ca. You can also find more information about requesting LiDAR data for the Town of Blue Mountains linked below:

    https://thebluemountains.ca/document_viewer.cfm?doc=1435.

  10. c

    Elk Migration Lines - West Goose Lake - 1999-2002, 2018-2020 [ds2900] GIS...

    • map.dfg.ca.gov
    Updated Sep 20, 2022
    + more versions
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    (2022). Elk Migration Lines - West Goose Lake - 1999-2002, 2018-2020 [ds2900] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2900.html
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    Dataset updated
    Sep 20, 2022
    Description

    CDFW BIOS GIS Dataset, Contact: Erin Zulliger, Description: Migration line locations for Rocky Mountain elk (Cervus canadensis nelsoni) from the West Goose Lake herd, Modoc County, California, and Lake and Klamath Counties, Oregon. Migration lines were developed in Migration Mapper using GPS locations from collared elk.

  11. c

    Sonoma Veg Map LiDAR Canopy Density 2013

    • gis.sonomacounty.ca.gov
    Updated Jun 3, 2021
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    The citation is currently not available for this dataset.
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    Dataset updated
    Jun 3, 2021
    Dataset authored and provided by
    The County of Sonoma
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Area covered
    Description

    This intensity raster depicts the aboveground LiDAR return to the total count LiDAR return and provides a ratio of the two from 0.0 to 1.0, where 0.0 represents no canopy and 1.0 very dense canopy. Each image corresponds to a 37,800-square-foot tile. Each pixel is 3 feet and represents an average intensity for that area. The specified coordinate system for this dataset is California State Plane Zone II (FIPS 0402), NAD83 (2011), with units in US Survey Feet for horizontal, and vertical units are NAVD88 (12A) US Survey Feet. The dataset encompasses all of Sonoma County. WSI collected the LiDAR and created this data set for the Sonoma County Vegetation Mapping and LiDAR Consortium.

  12. c

    Elk Migration Corridors - West Goose Lake - 1999-2002, 2018-2020 [ds2901]...

    • map.dfg.ca.gov
    Updated Dec 7, 2022
    + more versions
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    (2022). Elk Migration Corridors - West Goose Lake - 1999-2002, 2018-2020 [ds2901] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2901.html
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    Dataset updated
    Dec 7, 2022
    Description

    CDFW BIOS GIS Dataset, Contact: Erin Zulliger, Description: Migration corridor, stopover, and winter range locations for Rocky Mountain elk (Cervus canadensis nelsoni) developed by the California Department of Fish and Wildlife (CDFW) for the West Goose Lake herd, Modoc County, California, and Lake and Klamath Counties, Oregon. Corridors, stopovers, and winter ranges were developed in Migration Mapper with Brownian Bridge Movement Models using GPS locations from collared elk.

  13. Draft 2024 Integrated Report Polygons

    • gis.data.ca.gov
    Updated Jan 3, 2024
    + more versions
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    California Water Boards (2024). Draft 2024 Integrated Report Polygons [Dataset]. https://gis.data.ca.gov/maps/waterboards::draft-2024-integrated-report-polygons
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    Dataset updated
    Jan 3, 2024
    Dataset provided by
    California State Water Resources Control Board
    Authors
    California Water Boards
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    State Water Resources Control Board Division of Water Quality staff have developed this map to graphically display the waterbodies assessed in the draft 2024 California Integrated Report. This map contains waterbodies assessed for 305(b) categorization, including those placed on the 303(d) list of impaired waters.Note, these are not the final assessments. Map Layers:Draft 2024 Integrated Report Lines: Spatial representation of the assessed linear waterbodies in California, such as streams, rivers, and beaches. Draft 2024 Integrated Report Polygons: Spatial representation of the non-linear (polygon) waterbodies in California, such as bays, lakes, and reservoirs. Pop Up Description:Waterbody ID: Unique identifier for each mapped waterbody in the Integrated Report.Waterbody Name: Name of the waterbody.Waterbody Type: Type of water (river, lake, estuary, etc.)Regional Board: The Regional Water Quality Control Board with jurisdiction over the waterbody.WB Size: Approximate size of the waterbody and the corresponding unit of measurement.WB Category: Integrated Report Category for the waterbody, as proposed for the 2024 Integrated Report.County: County where waterbody is located.Listing Status: Waterbodies with one or more 303(d) listings in the proposed 2024 Integrated Report are noted as "listed." Waterbodies with no 303(d) listings in the proposed 2024 Integrated Report are notes as "not listed."Proposed 2024 New Listings: Pollutants proposed for the listing on the 303(d) list for the 2024 Integrated Report. The Decision ID in parentheses corresponds to the Decision ID in the linked Waterbody Fact Sheet (below).Proposed 2024 New Delistings: Pollutants proposed for delisting from the 303(d) list for the 2024 Integrated Report. The Decision ID in parentheses corresponds to the Decision ID in the linked Waterbody Fact Sheet.2020-2022 Pollutants Listed: Pollutants listed on the 303(d) list of the 2020-2022 Integrated Report.Waterbody Fact Sheet: Link to the complete waterbody fact sheet with assessment details, including Decisions and Lines of Evidence (LOEs).

  14. a

    City of Sonora

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Dec 14, 2017
    + more versions
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    Tuolumne County (2017). City of Sonora [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/Tuolumne::city-of-sonora
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    Dataset updated
    Dec 14, 2017
    Dataset authored and provided by
    Tuolumne County
    Area covered
    Description

    Fire Protection District Boundaries within Tuolumne County, California, including City of Sonora,Twain Harte and Groveland Community Services Districts, and Lake Don Pedro Community Services District. Fire Protection Districts within Tuolumne County include Columbia, Jamestown, Strawberry, Tuolumne, and Sugar Pine Mi-Wuk. Note - Twain Harte and Groveland provides fire protection services. Lake Don Pedro CSD does not provide dedicated fire services, but this area is served by Tuolumne County and CalFire. Not included here is the Tuolumne Band of Me Wuk Indians, who provides fire protection services within their trust lands. This layer shows district boundaries, however many of these districts maintain mutual aid agreements with neighboring fire protection agencies. All areas not included here fall within the jurisdiction of Tuolumne County Fire, CalFire, or U.S. Forest Service. Contact the individual district or Tuolumne County Fire directly for more information.https://www.tuolumnecounty.ca.gov/717/Fire-Department

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Advanced GIS Lab (2023). Lake County Parcel [Dataset]. https://california-parcel-update-agis.hub.arcgis.com/maps/6876439e560c457b95e63d99659ed04d

Lake County Parcel

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 28, 2023
Dataset authored and provided by
Advanced GIS Lab
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Description

Data Source: The data was downloaded from the Lake County, CA GIS portal, the 'parcel.shp' and 'zoning.shp' were spatially joined. Data was enriched with Fire Hazard Zone, Flood Risk Zone, Fault Zones, Landslide Risk, Liquifaction Zones, Drought Conditions, and the potential for Renewable Energy (Solar Radiation and Wind Speed) layers, in addition to the layers provided by the county. The table schema is detailed below.

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