11 datasets found
  1. s

    Countywide Parcels

    • open.sbcounty.gov
    • mobilefresh-sbcounty.opendata.arcgis.com
    Updated Jun 14, 2021
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    County of San Bernardino (2021). Countywide Parcels [Dataset]. https://open.sbcounty.gov/datasets/49323ddf29ef475db75e141f675fac47
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    Dataset updated
    Jun 14, 2021
    Dataset authored and provided by
    County of San Bernardino
    Description

    County of San Bernardino parcels. Parcels are updated approximately every two weeks. For questions about this dataset, please email opendata@isd.sbcounty.gov.

  2. a

    Parcels with Owner Name

    • mobilefresh-sbcounty.opendata.arcgis.com
    • open.sbcounty.gov
    • +2more
    Updated Jan 23, 2017
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    County of San Bernardino (2017). Parcels with Owner Name [Dataset]. https://mobilefresh-sbcounty.opendata.arcgis.com/datasets/parcels-with-owner-name
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    Dataset updated
    Jan 23, 2017
    Dataset authored and provided by
    County of San Bernardino
    Area covered
    Description

    To download:1. Click the Download button above.2. A side panel will appear showing download options. Under Shapefile, click the Download button.3. When the download completes, browse to the location of the downloaded .zip, copy it to the location where you manage your redistricting files, then right-click to extract the contents. You will then be able to use the file in GIS software.If, rather than downloading the data, you wish the reference online versions of these datasets directly to ensure you are always using the most up-to-date data, please contact the County of San Bernardino Innovation and Technology Departments at 909-884-4884 or by emailing OpenData@isd.sbcounty.gov for informations and instructions for doing so.Parcel polygons for the County of San Bernardino with assessment and zoning attributes. This parcel data is maintained by the County of San Bernardino Land Use Services Department, and the Surveyor and Assessor offices.

  3. a

    California Statewide Parcel Boundaries

    • egis-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +1more
    Updated Jul 8, 2020
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    County of Los Angeles (2020). California Statewide Parcel Boundaries [Dataset]. https://egis-lacounty.hub.arcgis.com/documents/baaf8251bfb94d3984fb58cb5fd93258
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    Dataset updated
    Jul 8, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    California
    Description

    This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

  4. c

    BOE TRA 2022 co36

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated May 20, 2022
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    California Department of Tax and Fee Administration (2022). BOE TRA 2022 co36 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::san-bernardino-2022-roll-year?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 San Bernardino County for the specified assessment roll year. Boundary alignment is based on the 2010 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

  5. a

    BOE TRA 2023 co36

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated May 22, 2023
    + more versions
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    California Department of Tax and Fee Administration (2023). BOE TRA 2023 co36 [Dataset]. https://hub.arcgis.com/maps/CDTFA::boe-tra-2023-co36
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    Dataset updated
    May 22, 2023
    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 San Bernardino County for the specified assessment roll year. Boundary alignment is based on the 2010 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. Vegetation Map - Johnson Valley - CDFW [ds1019]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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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).

  7. Roads All

    • sdgis-sandag.opendata.arcgis.com
    • wifire-data.sdsc.edu
    Updated Sep 8, 2018
    + more versions
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    San Diego Association of Governments (2018). Roads All [Dataset]. https://sdgis-sandag.opendata.arcgis.com/datasets/SANDAG::roads-all/about
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    Dataset updated
    Sep 8, 2018
    Dataset provided by
    San Diego Association Of Governmentshttp://www.sandag.org/
    Authors
    San Diego Association of Governments
    Area covered
    Description

    This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.

  8. FRAP - Public Lands Ownership

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    csv, esri rest +4
    Updated Jul 18, 2019
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    CA Governor's Office of Emergency Services (2019). FRAP - Public Lands Ownership [Dataset]. https://wifire-data.sdsc.edu/dataset/frap-public-lands-ownership
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    geojson, kml, zip, esri rest, csv, htmlAvailable download formats
    Dataset updated
    Jul 18, 2019
    Dataset provided by
    California Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

    1) snapping federal data sources to parcels;
    2) clipping to the FRA footprint;
    3) overlaying the federal data sources and using a hierarchy when sources overlap to resolve coding issues (BIA, UFW, NPS, USF, BLM, DOD, ACE, BOR);
    4) utilizing an automated process to merge “unknown” FRA slivers with appropriate adjacent ownerships;
    5) a manual review of FRA areas not assigned a federal agency by this process.

    Non-Federal ownership information was obtained from the California Protected Areas Database (CPAD), was clipped to the non-FRA area, and an automated process was used to fill in some sliver-gaps that occurred between the federal and non-federal data. Southeastern Desert Area: CAL FIRE does not devote the same level of resources for maintaining SRA data in this region of the state, since we have no fire protection responsibility. This includes almost all of Imperial County, and the desert portions of Riverside, and San Bernardino Counties. In these areas, we used federal protection areas from the current version of the Direct Protection Areas (DPA) dataset. Due to the fact that there were draw-issues with the previous version of ownership, this version does NOT fill in the areas that are not assigned to one of the owner groups (it does not cover all lands in the state). Also unlike previous versions of the dataset, this version only defines ownership down to the agency level - it does not contain more specific property information (for example, which National Forest). The option for a more detailed future release remains, however, and due to the use of automated tools, could always be created without much additional effort.This dataset includes a representation to symbolize based on the Own_Group field using the standard color scheme utilized on DPA maps.For more details about data inputs, see the Lineage section of the metadata. For detailed notes on previous versions, see the Supplemental Information section of the metadata.

    This ownership dataset is derived from CAL FIRE's SRA dataset, and GreenInfo Network's California Protected Areas Database. CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsiblity Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Inidan Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data. Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset. Areas without an ownership feature are ASSUMED to be private (but not included in the dataset as such).

    This service represents the latest release of the dataset by FRAP, and is updated twice a year when new versions are released.

  9. a

    Split Zoning/General Plan

    • hub.arcgis.com
    Updated Apr 28, 2020
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    City of Escondido (2020). Split Zoning/General Plan [Dataset]. https://hub.arcgis.com/datasets/CityofEscondido::zoning-general-plan-1/about?layer=3
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    Dataset updated
    Apr 28, 2020
    Dataset authored and provided by
    City of Escondido
    Area covered
    Description

    Parcels represent taxable pieces of property. A parcel is created by the San Diego County Assessor/Recorder/County Clerk (ARCC) to identify a specific portion of real property that is taxed at a certain rate for a certain owner. Tax parcels are typically the same as a legally subdivided lot but are not necessessarily so. For example, a single owner may own a legally subdivided piece of property but there may be two or more tax parcels covering that property. Legal subdivisions are shown in the LOTS layer.Parcels are keyed to the Assessor Parcel Number (APN) and the parcel polygon identifier (PARCELID).The SanGIS parcel layers are “stacked” parcels. That means that for any piece of ground there may be multiple parcels. For example, a condominium building in downtown San Diego may have 200 individual condos. Each condo is a separate taxable parcel. All 200 parcels will be associated with the same physical lot on the ground. When the SanGIS parcel layer is created each individual condo has a polygon representing the physical location of the parent parcel. In this example there will be 200 polygons all stacked on top of each other that represent the taxable parcels and each polygon will have the same physical characteristics (shape, size, area, location) – they are, essentially, copies of each other. However, other associated information (owner, document numbers, etc) will be different for each. In this case, each condo unit will have its own parcel number and there will be no single parcel representing the lot on the ground. Besides condominiums there are two other cases where you will see stacked parcels – possessory interest and mobile homes. Possessory interests have Assessor Parcel Numbers (APNs) that start with 76x. A possessory interest (or PI) parcel represents a taxable interest in the underlying, or parent, parcel but not necessarily ownership. For instance, a private company may have an arrangement with a University to operate a business on campus – a coffee shop or gift shop for example. The private business is taxable and is assinged a 76x APN and that APN is associated with the parent parcel which is owned by the University. Possessory intestests do not represent ownership on the parcel, only a taxable interest in the underlying parent parcel.Mobile home parcel APNs start with 77x. In a manner similar to the possessory interests, mobile home owners own their home (coach) but not the underlying property on which the house sits. The actual mobile home is a separate taxable parcel associated with the mobile home park parent parcel. These taxable parcels all have the same polygon as the underlying parent parcel and will show as stacked parcels as well.This dataset contains parcels as shown on the Assessor Parcel Maps (APM). However, parcels shown in this layer may lag that of the official APM by a number of weeks due to how SanGIS is notified of the newly created parcel and the timing of publication of the parcel layer.This dataset contains the parcel polygon and associated parcel information provided by the County ARCC in thier Master Property Record (MPR file) and Parcel Assessment Record (PAR file). In addition to the MPR and PAR data assigned by ARCC, SanGIS may add situs address information if it has been provided by the addressing authority in which the parcel is situated. The situs address information provided by SanGIS may not be the same as the SITUS address data in the MPR.This dataset contains site address information along with owner names and addresses, and other property information. Key fields in this dataset include:Land use information provided in the NUCLEUS_USE_CD field (225 types with a 3-digit domain). The ASR_LANDUSE field is an older version of this field but comprises more generalized land uses (91 types). Generalized land use zoning information is provided in the NUCLEUS_ZONE_CD field. The ASR_ZONE field is an older version of this field. Land use zoning is generalized comprising 9 zone types. This can provide a useful approximation for parcels that are outside of the San Diego City and County zoning jurisdictions.Please note that land use and zoning fields are not regularly maintained by the Assessor's Office and should only be used as an approximate guide. Updates are only made when there is new construction, or a change in ownership. They are not updated when the County and Local Cities update their zoning data or when permit changes to properties are completed. Please refer to city and County official zoning datasets for official zoning information, and to SANDAG for more current land use data. NOTE: If the name of this layer includes "_NORTH", "_SOUTH", or "_EAST" it represents a subset of the entire San Diego County Parcel Base. That is, the "_NORTH" layer includes only parcels generally in the Northwestern portion of the County. The "_SOUTH" layer includes parcels in the Southwestern portion. And the "_EAST" layer includes parcels in the approximate Eastern half of the County.

  10. c

    Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS...

    • map.dfg.ca.gov
    Updated Apr 5, 2018
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    (2018). Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2770.html
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    Dataset updated
    Apr 5, 2018
    Area covered
    San Diego County
    Description

    CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: The FPAs were designed to conserve as much of the Biological Core and Linkage Area (BCLA) as possible, minimize preserve fragmentation, maximize use of existing public lands and open space, and maintain private property rights and economic viability (MHCP Executive Summary 2003). Some areas are designated hardline and some softline. The hardline areas are designated primarily for conservation while the softline areas may be further delineated to development or conservation.

  11. Vegetation - Oak Grove - San Diego County - 2011 [ds712]

    • data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Nov 15, 2023
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    California Department of Fish and Wildlife (2023). Vegetation - Oak Grove - San Diego County - 2011 [ds712] [Dataset]. https://data.ca.gov/dataset/vegetation-oak-grove-san-diego-county-2011-ds712
    Explore at:
    arcgis geoservices rest api, zip, geojson, kml, html, csvAvailable download formats
    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    San Diego County
    Description

    The California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the Department's Oak Grove property, San Diego County, California following FGDC and National Vegetation Classification Standards. The vegetation classification was derived from floristic field survey data collected in the field in May 2010 and was based on previously described Alliances and Associations. The map was produced using true-color 2009 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Supplemental imagery including 2005 1-meter California Color Infrared (CIR) and true-color 1-foot aerial imagery available through GlobeXplorer ImageConnect were also used. The minimum mapping unit (MMU) is one acre, with the exception of wetland types, which were sometimes mapped to ½ acre. Field verification of 45 percent of the mapped polygons was conducted in June 2011; in combination with the 2010 sampling effort, 83 percent of the polygons were verified in the field.

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

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County of San Bernardino (2021). Countywide Parcels [Dataset]. https://open.sbcounty.gov/datasets/49323ddf29ef475db75e141f675fac47

Countywide Parcels

Explore at:
Dataset updated
Jun 14, 2021
Dataset authored and provided by
County of San Bernardino
Description

County of San Bernardino parcels. Parcels are updated approximately every two weeks. For questions about this dataset, please email opendata@isd.sbcounty.gov.

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