17 datasets found
  1. K

    Tulare County, California Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 27, 2022
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    Tulare County, California (2022). Tulare County, California Parcels [Dataset]. https://koordinates.com/layer/107906-tulare-county-california-parcels/
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    mapinfo mif, geopackage / sqlite, dwg, mapinfo tab, shapefile, geodatabase, kml, pdf, csvAvailable download formats
    Dataset updated
    May 27, 2022
    Dataset authored and provided by
    Tulare County, California
    Area covered
    Description

    Vector polygon map data of property parcels from Tulare County, California containing 159,913 features.

    Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  2. TIGER/Line Shapefile, 2021, County, Tulare County, CA, All Roads

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, County, Tulare County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-county-tulare-county-ca-all-roads
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    Tulare County, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  3. K

    Tulare County, California Address Points

    • koordinates.com
    csv, dwg, geodatabase +6
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    Tulare County, California, Tulare County, California Address Points [Dataset]. https://koordinates.com/layer/107907-tulare-county-california-address-points/
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    mapinfo mif, csv, kml, mapinfo tab, shapefile, dwg, pdf, geodatabase, geopackage / sqliteAvailable download formats
    Dataset authored and provided by
    Tulare County, California
    Area covered
    Description

    Geospatial data about Tulare County, California Address Points. Export to CAD, GIS, PDF, CSV and access via API.

  4. a

    California Statewide Parcel Boundaries

    • egis-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    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

  5. K

    Tulare County, California Hospitals

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 27, 2022
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    Tulare County, California (2022). Tulare County, California Hospitals [Dataset]. https://koordinates.com/layer/107909-tulare-county-california-hospitals/
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    csv, geodatabase, dwg, geopackage / sqlite, mapinfo mif, mapinfo tab, shapefile, pdf, kmlAvailable download formats
    Dataset updated
    May 27, 2022
    Dataset authored and provided by
    Tulare County, California
    Area covered
    Description

    Geospatial data about Tulare County, California Hospitals. Export to CAD, GIS, PDF, CSV and access via API.

  6. c

    BOE TRA 2025 co54

    • gis.data.ca.gov
    Updated Jun 9, 2025
    + more versions
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    California Department of Tax and Fee Administration (2025). BOE TRA 2025 co54 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::boe-tra-2025-co54
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    Dataset updated
    Jun 9, 2025
    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 Tulare County for the specified assessment roll year. Boundary alignment is based on the 2011 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

  7. K

    Tulare County, California Fire Stations

    • koordinates.com
    csv, dwg, geodatabase +6
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    Tulare County, California, Tulare County, California Fire Stations [Dataset]. https://koordinates.com/layer/107908-tulare-county-california-fire-stations/
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    shapefile, pdf, mapinfo tab, dwg, geodatabase, kml, mapinfo mif, geopackage / sqlite, csvAvailable download formats
    Dataset authored and provided by
    Tulare County, California
    Area covered
    Description

    Geospatial data about Tulare County, California Fire Stations. Export to CAD, GIS, PDF, CSV and access via API.

  8. BOE TRA 2024 co54

    • hub.arcgis.com
    • gis.data.ca.gov
    Updated Jun 3, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co54 [Dataset]. https://hub.arcgis.com/maps/CDTFA::boe-tra-2024-co54
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    Dataset updated
    Jun 3, 2024
    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 Tulare County for the specified assessment roll year. Boundary alignment is based on the 2011 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. i15 LandUse Tulare1999

    • cnra-test-nmp-cnra.hub.arcgis.com
    Updated May 2, 2023
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    Carlos.Lewis@water.ca.gov_DWR (2023). i15 LandUse Tulare1999 [Dataset]. https://cnra-test-nmp-cnra.hub.arcgis.com/items/6e409d7b38af4c9683125caa87d4d357
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    Dataset updated
    May 2, 2023
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Authors
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    The 1999 Tulare County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s San Joaquin District. Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and San Joaquin District. Important Points about Using this Data Set: 1. The land use boundaries were either drawn on-screen using developed photoquads, or hand drawn directly on USGS quad maps and then digitized. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. For example, the surveyor might have seen a cropped field in the photograph, and the field visit showed a field of corn, so the field was given a corn attribute. In another field, the photograph might have shown a crop that was golden in color (indicating grain prior to harvest), and the field visit showed newly planted corn. This field would be given an attribute showing a double crop, grain followed by corn. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 4. Water source information was not collected for this survey. 5. Not all land use codes will be represented in the survey.

  10. c

    California State Conservancies

    • gis.data.cnra.ca.gov
    • gis.data.ca.gov
    • +2more
    Updated May 5, 2022
    + more versions
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    Sierra Nevada Conservancy (2022). California State Conservancies [Dataset]. https://gis.data.cnra.ca.gov/datasets/SNC::california-state-conservancies
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Sierra Nevada Conservancy
    Area covered
    Description

    This geodatabase includes the boundaries of the California Natural Resource Agency’s State Conservancies. The collection of the State Conservancies boundaries was initiated in January 2012 by the Sierra Nevada Conservancy, and the geodatabase was updated in 2022 to include Sierra Nevada Conservancy boundary expansion. The geodatabase was constructed from GIS data requested from each of the State Conservancies. The following documentation describes the contacts who provided data, and where available, the type of spatial information provided. Baldwin Hills Conservancy: A shapefile of the Baldwin Hills Conservancy boundary was requested and received from Amanda Recinos, amanda@greeninfo.org, of GreenInfo Network on behalf of the Executive Officer of the Baldwin Hills Conservancy, David McNeill, on 10 January 2012. This boundary has not been modified from the original boundary provided. California State Coastal Conservancy: The California State Coastal Conservancy was updated by San Jenniches, sjenniches@scc.ca.gov, of the Coastal Conservancy in Fiscal Year 2014-2015. The SNC did not receive the boundary directly from the Coastal Conservancy; the feature class was provided by Nickolas Perez, Nickolas.Perez@water.ca.gov, of the California Natural Resources Agency to the SNC on 30 April 2015. Coachella Valley Mountains Conservancy: A shapefile of the Coachella Valley Mountains Conservancy boundary was requested and received fromKerrie Godrey, kgodfrey@cvmc.ca.gov, of the Coachella Valley Mountains Conservancy on 10 January 2012. This boundary has not been modified from the original boundary provided. Delta Conservancy: A shapefile of the legal Delta and Suisun Marsh boundaries were provided by Elisa Sabatina with the Delta Conservancy, Elisa.Sabatini@deltaconservancy.ca.gov, on 10 January 2012. This boundary has not been modified from the original boundary provided. Rivers and Mountains Conservancy (San Gabriel/Lower LA): A shapefile of the Rivers and Mountains Conservancy was provided by Luz Torres, ltorres@rmc.ca.gov, of the Rivers and Mountains Conservancy on 10 January 2012. This boundary has not been modified from the original boundary provided. San Diego River Conservancy: Michael Nelson, mnelson@sdrc.ca.gov, the Executive Officer of the San Diego River Conservancy reported via email on 11 January 2012 that no prior GIS boundary existed for the Conservancy. Mr. Nelson provided written consent to the SNC, via an email dated 11 January 2012, to develop the San Diego River Conservancy GIS boundary from a PDF document supplied by Mr. Nelson that showed the general location of the San Diego River Conservancy’s boundary as occupying a one half mile buffer from the San Diego River. This boundary has not been modified from the original boundary provided. San Joaquin River Conservancy: The San Joaquin River Conservancy boundary was created from using both the legislation description of the boundary and a pdf version of the San Joaquin River Conservancy boundary provided by Marile Colindres, marile.colindres@sjrc.ca.gov, of the San Joaquin Conservancy on 24 February 2012. This boundary has not been modified from the since the creation of the boundary from the legal description in 2012. Santa Monica Mountains Conservancy: The SNC was not able to acquire GIS data from the Santa Monica Mountains Conservancy staff; therefore, the SNC created a boundary to represent the Santa Moninca Mountains Conservancy by using the description of the Conservancy from their website. Specifically, the SNC used the text from their website to select watersheds for GIS boundary: “the Santa Monica Mountains Conservancy zone covers an area from the edge of the Mojave Desert to the Pacific Ocean. The zone encompasses the whole of the Santa Monica Mountains, the Simi Hills, the Verdugo Mountains and significant portions of the Santa Susana and San Gabriel Mountains. In addition, the Mountains Recreation and Conservation Authority also owns or manages thousands of acres in the Sierra Pelona Mountains and in the Whittier-Puente Hills. From north to south, these areas drain into the Santa Clara River, Calleguas Creek, numerous smaller coastal watersheds in the Santa Monica Mountains, and the Los Angeles River and Rio Hondo.The Sierra Nevada Conservancy (SNC) boundary was mapped to correspond with statute AB 2600 (2004) and as re-defined in SB 208 (2022). Work on the boundary was completed by CalFire, GreenInfo Network, and the California Department of Fish and Game. Meets and bounds description of the area as defined in statute: PRC Section 33302 (f) defines the Sierra Nevada Region as the area lying within the Counties of Alpine, Amador, Butte, Calaveras, El Dorado, Fresno, Inyo, Kern, Lassen, Madera, Mariposa, Modoc, Mono, Nevada, Placer, Plumas, Shasta, Sierra, Siskiyou, Tehama, Trinity, Tulare, Tuolumne, and Yuba, described as the area bounded as follows: On the east by the eastern boundary of the State of California; the crest of the White/Inyo ranges; and State Routes 395 and 14 south of Olancha; on the south by State Route 58, Tehachapi Creek, and Caliente Creek; on the west by the line of 1,250 feet above sea level from Caliente Creek to the Kern/Tulare County line; the lower level of the western slope’s blue oak woodland, from the Kern/Tulare County line to the Sacramento River near the mouth of Seven-Mile Creek north of Red Bluff; the Sacramento River from Seven-Mile Creek north to Cow Creek below Redding; Cow Creek, Little Cow Creek, Dry Creek, and up to the southern boundary of the Pit River watershed where Bear Creek Mountain Road and Dry Creek Road intersect; the southern boundary of the Pit River watershed; the western boundary of the upper Trinity watershed in the County of Trinity; on the north by the boundary of the upper Trinity watershed in the County of Trinity and the upper Sacramento, McCloud, and Pit River watersheds in the County of Siskiyou; and within the County of Modoc, the easterly boundary of the Klamath River watershed; and on the north in the County of Modoc by the northern boundary of the State of California; excluding both of the following: (1) The Lake Tahoe Region, as described in Section 6605.5 of the Government Code, where it is defined as "region" (2) The San Joaquin River Parkway, as described in Section 32510. According to GreenInfo Network and the California Department of Fish and Game, the blue oak woodland used to define a portion of the Sierra Nevada Conservancy's western boundary was delineated using referenced vegetation and imagery data.The Tahoe Conservancy boundary was created by using the Tahoe Regional Planning Agency (TRPA) boundary received from the Tahoe Conservancy staff and clipping the TRPA boundary to the State of California boundary, using the Teale Albers projection. The TRPA boundary was received by the SNC from the Tahoe Conservancy staff in 2011, and the Tahoe Conservancy boundary was created by the SNC in 2012. Notes:Some conservancy boundaries overlap.

  11. a

    Aspen Characteristics - Sequoia National Forest [ds377]

    • hub.arcgis.com
    • data.cnra.ca.gov
    • +6more
    Updated Jan 24, 2025
    + more versions
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    California Department of Fish and Wildlife (2025). Aspen Characteristics - Sequoia National Forest [ds377] [Dataset]. https://hub.arcgis.com/datasets/a7b00a54687d41daae0a1ea44e0e83ca
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    Dataset updated
    Jan 24, 2025
    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

    The database represents point locations and associated stand assessment data collected within aspen stands in the Cannell Meadows Ranger District, Sequoia National Forest, Tulare County, California. The aspen inventory from Sequoia National Forest is the only dataset in the state aspen database that was derived from a publication (Pillsbury 1994). The CDFG digitized this dataset by scanning paper maps within the publication, and digitizing and geo-referencing polygons from the electronic maps. Two assessment tables were created from the tables within the publication-one was a summery of the plot information and the other was a summery of the stand information which was an average of the plots within each stand. The report assessed information such as: topographic features, stand vigor, downed logs per acre, percent conifer in stand, total number of trees and aspen trees per acre in stand, and percentage of hiding cover for fawns and does. The report also examined the number of trees per acre that were affected and/or growth was stunted by deer, cattle, insects, fungus, and various combinations of these. It also inspected what percentage of the stand could be classified as grasses, forbs, brush, and bare. Within, the geodatabase, there are 60 delineated stands and there are 201 plot assessments taken. Pillsbury 1994, N.H., Ritter, T., Drew, M., and C. Linquist. 1994. Wildlife Habitat Inventory of Aspen Stands on the Cannell Meadow Ranger District, Sequoia National Forest. Natural Resources Management Department, Cal Poly State Univ., San Luis Obispo, California. 551 p. Associated with this point layer is a polygon layer (SEQUOUIA_NF_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.

  12. A

    i15 LandUse Tulare2007

    • data.amerigeoss.org
    Updated Feb 16, 2022
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    United States (2022). i15 LandUse Tulare2007 [Dataset]. https://data.amerigeoss.org/es/dataset/i15-landuse-tulare2007-e1304
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    arcgis geoservices rest api, html, geojson, csv, zip, kmlAvailable download formats
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    United States
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2007 Tulare County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM), Water Use Efficiency Branch (WUE). Digitized land use boundaries and associated attributes were gathered by staff from DWR’s South Central Region (SCRO), using extensive field visits and aerial photography. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Prior to the summer field survey by SCRO, WUE staff analyzed Landsat 5 imagery to identify fields likely to have winter crops. The combined land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s WUE Land Use Unit and SCRO. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of western Madera County conducted by DWR, South Central Regional Office staff, under the leadership of Steve Ewert, Senior Land and Water Use Supervisor. The field work for this survey was conducted during the summer of 2011. SCRO staff physically visited each delineated field, noting the crops grown at each location. Land use field boundaries were digitized using 2006 National Agriculture Imagery Program (NAIP) imagery as the base reference. Roads and waterways were delineated from a countywide shapefile using the U.S. Census Bureau's TIGER® (Topologically Integrated Geographic Encoding and Referencing) database and then clipped to match the USGS quadrangle boundaries. Digitized field boundaries were created on a quadrangle by quadrangle basis. Digitizing was completed at 1:4000 scale for the entire survey area. Field boundaries were delineated to depict observable areas of the same (homogeneous) land use type. Field boundaries do not represent legal parcel (ownership) boundaries, and are not meant to be used as formal parcel boundaries. Field work for DWR land use surveys typically occur during the summer and early fall agricultural seasons, so it can be difficult to identify fields where winter crops have been produced earlier during the survey year. To improve the mapping of winter crops, Landsat 5 imagery was analyzed to identify fields with high vegetative cover in late winter/early spring. Visual inspection of the Landsat scene displayed in false color infrared was used to select fields with both high and low vegetative cover as training data sets. These fields were used to develop spectral signatures using ERDAS Imagine and eCognition Developer software. The Landsat image was classified using a maximum likelihood supervised classification to label each pixel as vegetated or not vegetated. Then, the zonal attributes of polygons representing agricultural fields were summarized to identify fields vegetated during the winter. Polygons representing potential winter crops were used as an additional reference during field visits, and closely checked for winter crop residue. Site visits occurred from July through October 2007. Images and land use boundaries were loaded onto laptop computers that, in most cases, were used as the field data collection tools. GPS units connected to the laptops were used to confirm the surveyor's location with respect to each field. Some staff took printed copies of aerial photos into the field and wrote directly onto these photo field sheets. The data from the photo field sheets were digitized and entered back in the office. Land use codes associated with each polygon were entered in the field on laptop computers using ESRI ArcGIS software, version 9.3. Virtually all delineated fields were visited to positively observe and identify the land use type. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed, especially in forested areas. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Sources of irrigation water were identified for general areas and occasionally supplemented by information obtained from landowners. Water source information was not collected for each field in the survey, so the water source listed for a specific agricultural field may not be accurate. Before final processing, standard quality control procedures were performed jointly by staff at DWR's South Central Region, and at DSIWM headquarters under the leadership of Jean Woods, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

  13. c

    i03 Proposition1 Funding Areas

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated Feb 7, 2023
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    Carlos.Lewis@water.ca.gov_DWR (2023). i03 Proposition1 Funding Areas [Dataset]. https://gis.data.ca.gov/items/fa8c6d71d54c478abac9bc60d2e54cb7
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    Dataset updated
    Feb 7, 2023
    Dataset authored and provided by
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    This data depicts California Proposition 1 Funding Area boundaries as defined by Water Code §79744, which states, "(a) Of the funds authorized by Section 79740, five hundred ten million dollars ($510,000,000) shall be allocated to the hydrologic regions as identified in the California Water Plan in accordance with this section. For the South Coast hydrologic region, the department shall establish three funding areas that reflect the watersheds of San Diego County and southern Orange County (designated as the San Diego subregion), the Santa Ana River watershed (designated as the Santa Ana subregion), and the Los Angeles and Ventura County watersheds (designated as the Los Angeles subregion), and shall allocate funds to those areas in accordance with this subdivision. The North and South Lahontan hydrologic regions shall be treated as one area for the purpose of allocating funds. For purposes of this subdivision, the Sacramento River hydrologic region does not include the Delta. For purposes of this subdivision, the Mountain Counties Overlay is not eligible for funds from the Sacramento River hydrologic region or the San Joaquin River hydrologic region. Multiple integrated regional water management plans may be recognized in each of the areas allocated funding." Key differences between the old and new P1 FAs data set (original/proposed data set, respectively): 1. Line-work along the coastline formerly excluded much detail (bays, inlets, piers, lagoons, etc.); the new proposed dataset more closely follows the i03_Hydrologic_Regions data set. Hence, this data set includes more line detail along the coastline. 2. Line-work forming the P1 FAs between the Southwest portion of the San Joaquin River funding area and Northwest portion of the Tulare/Kern funding area was inconsistent between the two data sets. This data set corrects this notable discrepancy.

  14. Bear Hunt Areas [ds2807]

    • data-cdfw.opendata.arcgis.com
    • data.ca.gov
    • +6more
    Updated Nov 28, 2018
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    California Department of Fish and Wildlife (2018). Bear Hunt Areas [ds2807] [Dataset]. https://data-cdfw.opendata.arcgis.com/datasets/CDFW::bear-hunt-areas-ds2807/about
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    Dataset updated
    Nov 28, 2018
    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
    Description

    Except as provided in Section 366, bear may be taken only as follows:(a) Areas:(1) Northern California: In the counties of Del Norte, Humboldt, Plumas, Shasta, Siskiyou, Tehama and Trinity; and those portions of Lassen and Modoc counties west of the following line: Beginning at Highway 395 and the Sierra-Lassen county line; north on Highway 395 to the junction of Highway 36; west on Highway 36 to the junction of Highway 139; north on Highway 139 to Highway 299; north on Highway 299 to County Road 87; west on County Road 87 to Lookout-Hackamore Road; north on Lookout-Hackamore Road to Highway 139; north on Highway 139 to the Modoc-Siskiyou county line; north on the Modoc-Siskiyou county line to the Oregon border.(2) Central California: In the counties of Alpine, Amador, Butte, Calaveras, Colusa, El Dorado, Glenn, Lake, Mendocino, Nevada, Placer, Sacramento, Sierra, Sutter, Yolo and Yuba and those portions of Napa and Sonoma counties northeast of Highway 128.(3) Southern Sierra: That portion of Kern County west of Highway 14 and east of the following line: Beginning at the intersection of Highway 99 and the Kern-Tulare county line; south on Highway 99 to Highway 166; west and south on Highway 166 to the Kern-Santa Barbara county line; and those portions of Fresno, Madera, Mariposa, Merced, Stanislaus, Tulare and Tuolumne counties east of Highway 99.(4) Southern California: In the counties of Los Angeles, Santa Barbara and Ventura; that portion of Riverside County north of Interstate 10 and west of Highway 62; and that portion of San Bernardino County south and west of the following line: Beginning at the intersection of Highway 18 and the Los Angeles-San Bernardino county line; east along Highway 18 to Highway 247; southeast on Highway 247 to Highway 62; southwest along Highway 62 to the Riverside-San Bernardino county line.(5) Southeastern Sierra: Those portions of Inyo and Mono counties west of Highway 395; and that portion of Madera County within the following line: Beginning at the junction of the Fresno-Madera-Mono county lines; north and west along the Madera-Mono county line to the boundary of the Inyo-Sierra National Forest; south along the Inyo-Sierra National Forest boundary to the Fresno-Madera county line; north and east on the Fresno-Madera county line to the point of beginning. Also, that portion of Inyo county west of Highway 395; and that portion of Mono county beginning at the intersection of Highway 6 and the Mono county line; north along Highway 6 to the Nevada state line; north along the Nevada state line to the Alpine county line; south along the Mono-Alpine county line to the Mono-Tuolumne county line and the Inyo National Forest Boundary; south along the Inyo National Forest Boundary to the Inyo-Sierra Forest boundary; south along the Inyo-Sierra Forest boundary to the Fresno-Madera county line; north and east along the Fresno-Madera county line to the junction of the Fresno-Madera-Mono county line; south along the Mono-Fresno county line to the Mono-Inyo County line; east along the Mono-Inyo county line to the point of beginning.

  15. Sierra Nevada Conservancy Boundary

    • gis.data.cnra.ca.gov
    • gis.data.ca.gov
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    Updated May 3, 2022
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    Sierra Nevada Conservancy (2022). Sierra Nevada Conservancy Boundary [Dataset]. https://gis.data.cnra.ca.gov/maps/SNC::sierra-nevada-conservancy-boundary
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    Dataset updated
    May 3, 2022
    Dataset authored and provided by
    Sierra Nevada Conservancyhttp://www.sierranevadaconservancy.ca.gov/
    Area covered
    Description

    Sierra Nevada Conservancy (SNC) boundary. The boundary was mapped to correspond with statute AB 2600 (2004) and as re-defined in SB 208 (2022). Work on the boundary was completed by CalFire, GreenInfo Network, and the California Department of Fish and Game. Meets and bounds description of the area as defined in statute: PRC Section 33302 (f) defines the Sierra Nevada Region as the area lying within the Counties of Alpine, Amador, Butte, Calaveras, El Dorado, Fresno, Inyo, Kern, Lassen, Madera, Mariposa, Modoc, Mono, Nevada, Placer, Plumas, Shasta, Sierra, Siskiyou, Tehama, Trinity, Tulare, Tuolumne, and Yuba, described as the area bounded as follows: On the east by the eastern boundary of the State of California; the crest of the White/Inyo ranges; and State Routes 395 and 14 south of Olancha; on the south by State Route 58, Tehachapi Creek, and Caliente Creek; on the west by the line of 1,250 feet above sea level from Caliente Creek to the Kern/Tulare County line; the lower level of the western slope’s blue oak woodland, from the Kern/Tulare County line to the Sacramento River near the mouth of Seven-Mile Creek north of Red Bluff; the Sacramento River from Seven-Mile Creek north to Cow Creek below Redding; Cow Creek, Little Cow Creek, Dry Creek, and up to the southern boundary of the Pit River watershed where Bear Creek Mountain Road and Dry Creek Road intersect; the southern boundary of the Pit River watershed; the western boundary of the upper Trinity watershed in the County of Trinity; on the north by the boundary of the upper Trinity watershed in the County of Trinity and the upper Sacramento, McCloud, and Pit River watersheds in the County of Siskiyou; and within the County of Modoc, the easterly boundary of the Klamath River watershed; and on the north in the County of Modoc by the northern boundary of the State of California; excluding both of the following: (1) The Lake Tahoe Region, as described in Section 6605.5 of the Government Code, where it is defined as "region" (2) The San Joaquin River Parkway, as described in Section 32510.

    According to GreenInfo Network and the California Department of Fish and Game, the blue oak woodland used to define a portion of the Sierra Nevada Conservancy's western boundary was delineated using referenced vegetation and imagery data.

  16. A

    Aspen Delineation - Sequoia National Forest [ds378]

    • data.amerigeoss.org
    • data.ca.gov
    • +5more
    Updated Mar 7, 2020
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    United States (2020). Aspen Delineation - Sequoia National Forest [ds378] [Dataset]. https://data.amerigeoss.org/es/dataset/activity/aspen-delineation-sequoia-national-forest-ds378-599e5
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    html, geojson, kml, zip, arcgis geoservices rest api, csvAvailable download formats
    Dataset updated
    Mar 7, 2020
    Dataset provided by
    United States
    Description

    The database represents delineations of aspen stands associated with stand assessment data (SEQUOIA_NF_PTS) collected in aspen stands in the Cannell Meadows Ranger District, Sequoia National Forest, Tulare County, California. The aspen inventory from Sequoia National Forest is the only dataset in the state aspen database that was derived from a publication (Pillsbury 1994). The CDFG digitized this dataset by scanning paper maps within the publication, and digitizing and geo-referencing polygons from the electronic maps. Two assessment tables were created from the tables within the publication-one was a summery of the plot information and the other was a summery of the stand information which was an average of the plots within each stand. The report assessed information such as: topographic features, stand vigor, downed logs per acre, percent conifer in stand, total number of trees and aspen trees per acre in stand, and percentage of hiding cover for fawns and does. The report also examined the number of trees per acre that were affected and/or growth was stunted by deer, cattle, insects, fungus, and various combinations of these. It also inspected what percentage of the stand could be classified as grasses, forbs, brush, and bare. Within, the geodatabase, there are 60 delineated stands and there are 201 plot assessments taken. Pillsbury 1994, N.H., Ritter, T., Drew, M., and C. Linquist. 1994. Wildlife Habitat Inventory of Aspen Stands on the Cannell Meadow Ranger District, Sequoia National Forest. Natural Resources Management Department, Cal Poly State Univ., San Luis Obispo, California. 551 p. Associated with this polygon layer is a point layer (SEQUOIA_NF_PTS) containing aspen stand assessments conducted in conjunction with the aspen stand delineations. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Services Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.

  17. Waterfowl Hunt Zone [ds2906]

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.ca.gov
    • +6more
    Updated Dec 1, 2020
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    California Department of Fish and Wildlife (2020). Waterfowl Hunt Zone [ds2906] [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/CDFW::waterfowl-hunt-zone-ds2906/explore
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    Dataset updated
    Dec 1, 2020
    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
    Description

    Hunting Zone Boundaries for Waterfowl.See: https://www.wildlife.ca.gov/Hunting/Waterfowl for details about waterfowl hunting.See: https://www.wildlife.ca.gov/Conservation/Birds/Waterfowl for details about the Waterfowl Managment ProgramCalifornia Code of Regulations Title 14 Section 502(b) Waterfowl Hunting Zones.(1) Northeastern California Zone: In that portion of California lying east and north of a line beginning at the intersection of Interstate 5 with the California-Oregon state line; south along Interstate 5 to its junction with Walters Lane south of the town of Yreka; west along Walters Lane to its junction with Easy Street; south along Easy Street to the junction with Old Highway 99; south along Old Highway 99 to the point of intersection with Interstate 5 north of the town of Weed; south along Interstate 5 to its junction with Highway 89; east and south along Highway 89 to Main Street in Greenville; north and east to its junction with North Valley Road; south to its junction of Diamond Mountain Road; north and east to its junction with North Arm Road; south and west to the junction of North Valley Road; south to the junction with Arlington Road (A22); west to the junction of Highway 89; south and west to the junction of Highway 70; east on Highway 70 to Highway 395; south and east on Highway 395 to the point of intersection with the California-Nevada state line; north along the California-Nevada state line to the junction of the California-Nevada-Oregon state lines west along the California-Oregon state line to the point of origin.(2) Southern San Joaquin Valley Zone: All of Kings and Tulare counties and that portion of Kern County north of the Southern California Zone.(3) Southern California Zone: In that portion of southern California (but excluding the Colorado River zone) lying south and east of a line beginning at the mouth of the Santa Maria River at the Pacific Ocean; east along the Santa Maria River to where it crosses Highway 101-166 near the City of Santa Maria; continue north on 101-166; east on Highway 166 to the junction with Highway 99; south on Highway 99 to the junction of Interstate 5; south on Interstate 5 to the crest of the Tehachapi Mountains at Tejon Pass; east and north along the crest of the Tehachapi Mountains to where it intersects Highway 178 at Walker Pass; east on Highway 178 to the junction of Highway 395 at the town of Inyokern; south on Highway 395 to the junction of Highway 58; east on Highway 58 to the junction of Interstate 15; east on Interstate 15 to the junction with Highway 127; north on Highway 127 to the point of intersection with the California-Nevada state line.(4) Colorado River Zone: In those portions of San Bernardino, Riverside, and Imperial counties lying east of the following lines: Beginning at the intersection of Nevada State Highway 95 with the California-Nevada state line; south along Highway 95 through the junction with Highway 40; continue south on Highway 95 to Vidal Junction; south through the town of Rice to the San Bernardino-Riverside county line on a road known as “Aqueduct Road” also known as Highway 62 in San Bernardino County; southwest on Highway 62 to Desert Center Rice Road; south on Desert Center Rice Road/Highway 177 to the town of Desert Center; continue east 31 miles on Interstate 10 to its intersection with the Wiley Well Road; south on this road to Wiley Well; southeast along the Milpitas Wash Road to the Blythe, Brawley, Davis Lake intersections; south on the Blythe Ogilby Road also known as County Highway 34 to its intersection with Ogilby Road; south on this road to Highway 8; east seven miles on Highway 8 to its intersection with the Andrade-Algodones Road/Highway 186; south on this paved road to the intersection of the Mexican boundary line at Los Algodones, Mexico.(5) Balance of State Zone: That portion of the state not included in Northeastern California, Southern California, Colorado River or the Southern San Joaquin Valley zones.

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

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Tulare County, California (2022). Tulare County, California Parcels [Dataset]. https://koordinates.com/layer/107906-tulare-county-california-parcels/

Tulare County, California Parcels

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mapinfo mif, geopackage / sqlite, dwg, mapinfo tab, shapefile, geodatabase, kml, pdf, csvAvailable download formats
Dataset updated
May 27, 2022
Dataset authored and provided by
Tulare County, California
Area covered
Description

Vector polygon map data of property parcels from Tulare County, California containing 159,913 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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