11 datasets found
  1. c

    BOE TRA 2023 co20

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated May 19, 2023
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    California Department of Tax and Fee Administration (2023). BOE TRA 2023 co20 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::madera-2023-roll-year?layer=1
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    Dataset updated
    May 19, 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 Madera County for the specified assessment roll year. Boundary alignment is based on the 2020 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

  2. c

    Madera 2023 Roll Year

    • gis.data.ca.gov
    • cdtfa.hub.arcgis.com
    Updated May 19, 2023
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    California Department of Tax and Fee Administration (2023). Madera 2023 Roll Year [Dataset]. https://gis.data.ca.gov/maps/89ba40afc74c4f2285d2afb93f1b1ba7
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    Dataset updated
    May 19, 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

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  3. Spatial, Field and Lidar Data for California | Earth Analytics Course Data

    • figshare.com
    tiff
    Updated May 18, 2024
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    Earth Lab; Leah Wasser (2024). Spatial, Field and Lidar Data for California | Earth Analytics Course Data [Dataset]. http://doi.org/10.6084/m9.figshare.4620268.v4
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    tiffAvailable download formats
    Dataset updated
    May 18, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Earth Lab; Leah Wasser
    License

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

    Area covered
    California
    Description

    This data subset contains1. a subset of spatial data (gis layers for the California Madera County and NEON SOAP and SJER sites). 2. Some other general spatial boundary layers from natural earth3. NEON lidar data and insitu measurements for SOAP and SJER sites. The data are used in both the Earth Analytics R and python courses. The Lidar data can be used to teach uncertainty given there are ground measurements available.

  4. a

    i15 LandUse Butte2011

    • cnra-gis-open-data-staging-cnra.hub.arcgis.com
    • cnra-test-nmp-cnra.hub.arcgis.com
    Updated Jun 17, 2023
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    Carlos.Lewis@water.ca.gov_DWR (2023). i15 LandUse Butte2011 [Dataset]. https://cnra-gis-open-data-staging-cnra.hub.arcgis.com/datasets/93e1fe7d1e584449a61d0d409407a7b5
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    Dataset updated
    Jun 17, 2023
    Dataset authored and provided by
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    The 2011 Madera 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). Land use boundaries were digitized and land use data was gathered by staff of DWR’s South Central Region using extensive field visits and aerial photography. The land uses that were mapped were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. Landsat 5 imagery was analyzed prior to the field survey by DSIWM staff to map fields likely to have winter crops. The land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters and South Central Region. The original spatial reference of this dataset is NAD 1983 UTM Zone 10N, which has been transformed into WGS 1984 Web Mercator.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 Standard version 3.5, dated April 12, 2023. 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. See the CADWR Land User Viewer (gis.water.ca.gov/app/CADWRLandUseViewer) for the most current contact information. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

  5. LPA office locations

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 4, 2021
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    California Water Boards (2021). LPA office locations [Dataset]. https://gis.data.ca.gov/datasets/waterboards::lpa-office-locations
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    Dataset updated
    Apr 4, 2021
    Dataset provided by
    California State Water Resources Control Board
    Authors
    California Water Boards
    Area covered
    Description

    This dataset is the geocoded addresses of the LPA office in California. This dataset's source is DDW's SDWIS contacts database and this publicly available document: https://www.waterboards.ca.gov/drinking_water/programs/documents/web_contact_info_district_lpa.pdfThe dataset was last updated in December 2020 and will be updated as needed.Contact for this dataset/layer is DDW GIS workgroup, DDW-GIS-workgroup@waterboards.ca.gov.

  6. c

    Sierra Nevada Subregional Boundary - Sierra Nevada Conservancy [ds542] GIS...

    • map.dfg.ca.gov
    Updated Apr 28, 2014
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    (2014). Sierra Nevada Subregional Boundary - Sierra Nevada Conservancy [ds542] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0542.html
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    Dataset updated
    Apr 28, 2014
    Area covered
    Sierra Nevada
    Description

    CDFW BIOS GIS Dataset, Contact: Bob Kingman, Description: 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. To display the Sierra Nevada Conservancy boundary.

  7. c

    Vegetation - Southern Sierra Nevada Foothills [ds3073] GIS Dataset

    • map.dfg.ca.gov
    Updated Mar 30, 2023
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    (2023). Vegetation - Southern Sierra Nevada Foothills [ds3073] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds3073.html
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    Dataset updated
    Mar 30, 2023
    Area covered
    Sierra Nevada
    Description

    CDFW BIOS GIS Dataset, Contact: VegCAMP Vegetation Classification and Mapping Program, Description: Under contract to the California Department of Fish and Wildlife (CDFW), Aerial Information Systems (AIS) created a fine-scale vegetation map of portions of the Southern Sierra Nevada Foothills in central California. The mapping study area, consists of approximately 1,824,939 acres, of Mariposa, Madera, Tulare, Kern, and Los Angeles counties.

  8. c

    Mesocarnivore Photo Stations [ds26] GIS Dataset

    • map.dfg.ca.gov
    Updated Mar 11, 2024
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    (2024). Mesocarnivore Photo Stations [ds26] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0026.html
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    Dataset updated
    Mar 11, 2024
    Description

    CDFW BIOS GIS Dataset, Contact: Chris Stermer, Description: This database was established to record furbearer and raptor presence through photographs taken at camera stations. The general study area where camera station were placed include mountainous areas of Madera, Fresno, and Tulare counties.

  9. a

    i15 LandUse Madera1995

    • cnra-gis-open-data-staging-cnra.hub.arcgis.com
    • cnra-test-nmp-cnra.hub.arcgis.com
    Updated Feb 8, 2023
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    Carlos.Lewis@water.ca.gov_DWR (2023). i15 LandUse Madera1995 [Dataset]. https://cnra-gis-open-data-staging-cnra.hub.arcgis.com/datasets/da6792dc843141e5a7ce7663304e70a4
    Explore at:
    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    The 1995 Madera County land use survey data set was developed by DWRthrough its Division of Planning and Local Assistance (DPLA). Thedata 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 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 and irrigation method information was not collected for this survey. 5. Not all land use codes will be represented in the survey.

  10. Vegetation - McKenzie Preserve [ds703]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated Jan 24, 2020
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    California Department of Fish and Wildlife (2020). Vegetation - McKenzie Preserve [ds703] [Dataset]. https://gis.data.ca.gov/datasets/CDFW::vegetation-mckenzie-preserve-ds703
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    Dataset updated
    Jan 24, 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

    Under contract to the California Department of Fish and Wildlife (CDFW), California Native Plant Society (CNPS) created a fine-scale vegetation map of portions of the Millerton Lake East quadrangle, including protected areas of Big Table Mountain and the McKenzie Preserve at Table Mountain. CNPS conducted field reconnaissance assistance for this project, as well as accuracy assessment (AA) field data collection. CDFW’s Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to allocate and score the AA. The mapping study area, consists of approximately 11,505 acres, of Fresno and Madera Counties. Work was performed on the project between 2008 and 2010. The primary purpose of the project was to generate an accurate and detailed basemap of a focus area within the southern Sierra Nevada Foothills, supported by field surveys, that would assist in long-term management of sensitive plant communities. Additionally, this map was created to further CDFW’s goal of developing fine-scale digital vegetation maps as part of the California Biodiversity Initiative Roadmap of 2018. CNPS under separate contract and in collaboration with CDFW VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The vegetation map was produced applying heads-up digitizing techniques using a 2009 base of one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 1 acre. Field reconnaissance and accuracy assessment enhanced map quality. There was a total of 24 mapping classes.

  11. Vegetation - Southern Sierra Nevada Foothills [ds3073]

    • arcgis.com
    • data.ca.gov
    • +4more
    Updated Mar 29, 2023
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    California Department of Fish and Wildlife (2023). Vegetation - Southern Sierra Nevada Foothills [ds3073] [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=facebook&oauth_state=aJXq0uRc7jNqqNxpIsFTYnA..9mJZ6717BzdeWNHCJqnOgsjz5fk_Vqf5l5vtJ9CBOCVpmcTs4LI1Wvl1kvSk7YedX6a926I_XW7cADwB8ksgS6xSIAI33dhbUp2X-NWsrKHUFmj5ftn9EnzNP5KmaHUZNAOMG2lWbd9Qdg3tuBBVTpG4RTODsZa3LT9fmuqjykrJaxENN8XSB-OknuIT34q-k6x2VzVl4rrmqJpE0AKC2HaIDOZvKtzYnscINPwxq-PeTTpj3SO0W2ASY90Wf6B5_Lru1O3JPM2JRwOfUc0YbCP21RzcJNArAcRP55WKHjwGkA4zsiwaFvGeuUwIMXrq49139738pTg68_jvSWjMZJD_uWvkZSmDBzRh5dZ2ZmDs8ty7uS992kSzjiCtF2yZL3K-
    Explore at:
    Dataset updated
    Mar 29, 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
    Description

    Under contract to the California Department of Fish and Wildlife (CDFW), Aerial Information Systems (AIS) created a fine-scale vegetation map of portions of the Southern Sierra Nevada Foothills in central California. AIS subcontracted the California Native Plant Society (CNPS) to conduct field reconnaissance assistance for this project, as well as accuracy assessment (AA) field data collection; and Soar Environmental Consulting to assist in the AA field data collection. CDFW’s Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to allocate and score the AA. The mapping study area, consists of approximately 1,824,939 acres, of Mariposa, Madera, Tulare, Kern, and Los Angeles counties. Work was performed on the project between 2019 and 2022. The primary purpose of the project was to further CDFW’s goal of developing fine-scale digital vegetation maps as part of the California Biodiversity Initiative Roadmap of 2018.CNPS under separate contract and in collaboration with CDFW VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS).The vegetation map was produced applying heads-up digitizing techniques using a 2018 base of one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 2 acres; exceptions are made for wetlands and riparian types, which were mapped to a 1-acre MMU.Field reconnaissance and accuracy assessment enhanced map quality. There was a total of 111 mapping classes. The overall Fuzzy Accuracy Assessment rating for the final vegetation map,at the Alliance and Group levels, is 89.5 percent.

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

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California Department of Tax and Fee Administration (2023). BOE TRA 2023 co20 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::madera-2023-roll-year?layer=1

BOE TRA 2023 co20

Explore at:
Dataset updated
May 19, 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 Madera County for the specified assessment roll year. Boundary alignment is based on the 2020 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

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