65 datasets found
  1. Vegetation - San Mateo County [ds3021]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Mar 11, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - San Mateo County [ds3021] [Dataset]. https://gis.data.ca.gov/datasets/048fa54a97fe404db2255e5fdb935a28
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    Dataset updated
    Mar 11, 2024
    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

    In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the “San Mateo Fine Scale Veg Map”, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County’s habitats and natural resources.Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists including Neal Kramer, Brett Hall, Lucy Ferneyhough, Brittany Burnett, Patrick Furtado, and Rosie Frederick. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation), with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) and ecologists with NatureServe (https://www.natureserve.org/) to develop a San Mateo County-specific vegetation classification. For more information on the field sampling and vegetation classification work San Mateo County Fine Scale Vegetation Map Final Report refer to the final report (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212663) issued by CNPS and corresponding floristic descriptions (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212666 and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667).Existing lidar data, collected in 2017 by San Mateo County was used to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as various dates of National Agriculture Imagery Program (NAIP) imagery. Key data sets used in the lifeform and the enhanced lifeform mapping process include high resolution aerial imagery from 2018, the lidar-derived Canopy Height Model (CHM), and several other lidar-derived raster and vector datasets. In addition, a number of forest structure lidar derivatives are used in the machine learning portion of the enhanced lifeform workflow.In 2020, an enhanced lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.In 2020, Tukman Geospatial staff and partners conducted countywide reconnaissance field work to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2021, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In early January of 2022, draft maps were distributed and reviewed by San Mateo County’s community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in April 2022. In total, 106 vegetation classes were mapped. During the classification development phase, minimum mapping units (MMUs) were established for the vegetation mapping project. An MMU is the smallest area to be mapped on the ground. For this project, the mapping team chose to map different features at different MMUs. The MMU is 1/4 acre for agricultural, woody riparian, and wetland herbaceous classes; 1/2 acre for woody upland, upland herbaceous, and bare land classes; 1/5 acre for developed feature types; and 400 square feet for water.Accuracy assessment plot data were collected in 2021 and 2022. Accuracy assessment results were compiled and analyzed in the April of 2022. Overall accuracy of the lifeform map is 98 percent. Overall accuracy of the fine-scale vegetation map is 83.5 percent, with an overall ‘fuzzy’ accuracy of 90.8 percent.

  2. a

    Boundaries

    • data-smcmaps.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 5, 2015
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    San Mateo County (2015). Boundaries [Dataset]. https://data-smcmaps.opendata.arcgis.com/maps/10c598cf77794018adad90684362c6ca
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    Dataset updated
    Jun 5, 2015
    Dataset authored and provided by
    San Mateo County
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Description

    San Mateo County Boundaries: County Boundary, City Boundary, Census Tracts

  3. S

    Neighborhood Mixed Use

    • performance.smcgov.org
    Updated Sep 13, 2013
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    San Mateo County GIS - Planning and Building (2013). Neighborhood Mixed Use [Dataset]. https://performance.smcgov.org/dataset/Neighborhood-Mixed-Use/pwxq-94ge
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    xlsx, csv, kml, xml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Sep 13, 2013
    Dataset authored and provided by
    San Mateo County GIS - Planning and Building
    Description

    This map delineates the current configurations for General Plan Landuse in North Fair Oaks

  4. a

    San Mateo County 2017 Digital Elevation Model (DEM) Image Service

    • hub.arcgis.com
    • data-smcmaps.opendata.arcgis.com
    Updated Nov 29, 2017
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    San Mateo County (2017). San Mateo County 2017 Digital Elevation Model (DEM) Image Service [Dataset]. https://hub.arcgis.com/datasets/6ce67725cf44432fb7d579534e2fa544
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    San Mateo County
    Area covered
    Description

    Digital elevation model (DEM) map service of San Mateo County. Includes elevation derived from aerial imagery acquired in 2016. Spatial Reference: 102643 (2227)More information about the service itself can be found in the County's image services directory.Flight and imagery acquisition metadata can be found on the County's GIS data download site.

  5. w

    San Mateo County Aerial Imagery Service 2006

    • data.wu.ac.at
    csv, json, xml
    Updated Nov 28, 2017
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    GIS Team, County of San Mateo Information Services Department (2017). San Mateo County Aerial Imagery Service 2006 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/a2ttYy14cDMz
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    json, csv, xmlAvailable download formats
    Dataset updated
    Nov 28, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    San Mateo County
    Description

    Aerial imagery map service of San Mateo County. Acquired in 2006. For use as a basemap in online maps.

    Spatial Reference: 102643 (2227) Pixel Size X: 0.25 Pixel Size Y: 0.25

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_Imagery2006/ImageServer

  6. w

    County Shaded Relief Service 2006

    • data.wu.ac.at
    • data.smcgov.org
    csv, json, xml
    Updated Nov 28, 2017
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    GIS Team, County of San Mateo Information Services Department (2017). County Shaded Relief Service 2006 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/anVjNi1tejk5
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    xml, json, csvAvailable download formats
    Dataset updated
    Nov 28, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Shaded relief map service of San Mateo County. Derived from aerial imagery acquired in 2006. For use as a basemap in online maps and to show elevation change using shading.

    Spatial Reference: 102643 (2227) Pixel Size X: 5.0 Pixel Size Y: 5.0 Band Count: 3

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_ShadedRelief2006/ImageServer

  7. w

    San Mateo County Digital Elevation Model Service 2017

    • data.wu.ac.at
    csv, json, xml
    Updated Nov 29, 2017
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    GIS Team, County of San Mateo Information Services Department (2017). San Mateo County Digital Elevation Model Service 2017 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/dmJ0cy1nYmJx
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Nov 29, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    San Mateo County
    Description

    Digital elevation model (DEM) map service of San Mateo County. Includes elevation derived from aerial imagery acquired in 2016. For use as a basemap in online maps.

    Spatial Reference: 102643 (2227)

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_DEM2017/ImageServer

  8. s

    Active Parcels with Assessor Parcel Numbers: San Mateo County, California,...

    • searchworks.stanford.edu
    zip
    Updated Jul 28, 2018
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    (2018). Active Parcels with Assessor Parcel Numbers: San Mateo County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/gd575cq2724
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    zipAvailable download formats
    Dataset updated
    Jul 28, 2018
    Area covered
    San Mateo County
    Description

    This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  9. S

    Multi-Family Residential

    • performance.smcgov.org
    Updated Sep 13, 2013
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    San Mateo County GIS - Planning and Building (2013). Multi-Family Residential [Dataset]. https://performance.smcgov.org/dataset/Multi-Family-Residential/3zer-wzyt
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    xlsx, xml, csv, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Sep 13, 2013
    Dataset authored and provided by
    San Mateo County GIS - Planning and Building
    Description

    This map delineates the current configurations for General Plan Landuse in North Fair Oaks

  10. a

    Coastal Zone

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated May 18, 2016
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    San Mateo County (2016). Coastal Zone [Dataset]. https://hub.arcgis.com/maps/smcmaps::coastal-zone
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    Dataset updated
    May 18, 2016
    Dataset authored and provided by
    San Mateo County
    License

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

    Area covered
    Description

    San Mateo County Datsets

  11. a

    San Francisco Bay Region Spheres of Influence

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Aug 23, 2019
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    MTC/ABAG (2019). San Francisco Bay Region Spheres of Influence [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/MTC::san-francisco-bay-region-spheres-of-influence
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    Dataset updated
    Aug 23, 2019
    Dataset authored and provided by
    MTC/ABAG
    License

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

    Area covered
    Description

    The California Association Local Agency Formation Commissions defines a sphere of influence (SOI) as "a planning boundary outside of an agency’s legal boundary (such as the city limit line) that designates the agency’s probable future boundary and service area." This feature set represents the SOIs of the incorporated jurisdictions for the San Francisco Bay Region. The Metropolitan Transportation Commission (MTC) updated the feature set in late 2019 as part of the jurisdiction review process for the BASIS data gathering project. Changes were made to the growth boundaries of the following jurisdictions based on BASIS feedback and associated work: Antioch, Brentwood, Campbell, Daly City, Dublin, Fremont, Hayward, Los Gatos, Monte Sereno, Newark, Oakland, Oakley, Pacifica, Petaluma, Pittsburg, Pleasanton, San Bruno, San Francisco (added to reflect other jurisdictions whose SOI is the same as their jurisdiction boundary), San Jose, San Leandro, Santa Clara, Saratoga, and Sunnyvale. Notes: With the exception of San Mateo and Solano Counties, counties included jurisdiction (city/town) areas as part of their SOI boundary data. San Mateo County and Solano County only provided polygons representing the SOI areas outside the jurisdiction areas. To create a consistent, regional feature set, the Metropolitan Transportation Commission (MTC) added the jurisdiction areas to the original, SOI-only features and dissolved the features by name.Because of differences in base data used by the counties and the MTC, edits were made to the San Mateo County and Solano County SOI features that should have been adjacent to their jurisdiction boundary so the dissolve function would create a minimum number of features. Original sphere of influence boundary acquisitions:Alameda County - CityLimits_SOI.shp received as e-mail attachment from Alameda County Community Development Agency on 30 August 2019 Contra Costa County - BND_LAFCO_Cities_SOI.zip downloaded from https://gis.cccounty.us/Downloads/Planning/ on 15 August 2019Marin County - 'Sphere of Influence - City' feature service data downloaded from Marin GeoHub on 15 August 2019Napa County - city_soi.zip downloaded from their GIS Data Catalog on 15 August 2019 City and County of San Francisco - does not have a sphere of influence San Mateo County - 'Sphere of Influence' feature service data downloaded from San Mateo County GIS open data on 15 August 2019 Santa Clara County - 'City Spheres of Influence' feature service data downloaded from Santa Clara County Planning Office GIS Data on 15 August 2019 Solano County - SphereOfInfluence feature service data downloaded from Solano GeoHub on 15 August 2019 Sonoma County - 'SoCo PRMD GIS Spheres Influence.zip' downloaded from County of Sonoma on 15 August 2019

  12. S

    Institutional

    • performance.smcgov.org
    Updated Sep 13, 2013
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    San Mateo County GIS - Planning and Building (2013). Institutional [Dataset]. https://performance.smcgov.org/dataset/Institutional/n7t4-jiqe
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    kml, csv, xml, kmz, xlsx, application/geo+jsonAvailable download formats
    Dataset updated
    Sep 13, 2013
    Dataset authored and provided by
    San Mateo County GIS - Planning and Building
    Description

    This map delineates the current configurations for General Plan Landuse in North Fair Oaks

  13. w

    Service Locations in San Mateo County

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 27, 2016
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    County GIS (2016). Service Locations in San Mateo County [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/aXR2NS1yNzl3
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    xml, csv, jsonAvailable download formats
    Dataset updated
    Aug 27, 2016
    Dataset provided by
    County GIS
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    San Mateo County
    Description

    Public, Non-Profit, and Private Service Locations within San Mateo County. This data was developed once and is maintained in an as needed basis.

  14. a

    City Boundaries

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.bayareametro.gov
    • +2more
    Updated May 18, 2016
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    San Mateo County (2016). City Boundaries [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/smcmaps::city-boundaries
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    Dataset updated
    May 18, 2016
    Dataset authored and provided by
    San Mateo County
    License

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

    Area covered
    Description

    These boundaries have been clipped to land boundaries

  15. s

    Active Parcels with Addresses: San Mateo County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Jul 28, 2018
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    (2018). Active Parcels with Addresses: San Mateo County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/xp464dx3743
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    zipAvailable download formats
    Dataset updated
    Jul 28, 2018
    Area covered
    San Mateo County
    Description

    This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  16. a

    San Mateo County Imagery 2017 Image Service

    • hub.arcgis.com
    Updated Nov 29, 2017
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    San Mateo County (2017). San Mateo County Imagery 2017 Image Service [Dataset]. https://hub.arcgis.com/datasets/385b774fb9db476c97153a4cab358c2e
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    San Mateo County
    Area covered
    Description

    Aerial imagery map service of San Mateo County. Acquired in 2017.Spatial Reference: 102643 (2227) Pixel Size X: 0.5Pixel Size Y: 0.5The raw geotiff or sid files are not readily available for download. If you need access to the source files please contact the San Mateo County GIS Team at countygis@smcgov.org

  17. s

    Open Space Areas: San Mateo County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Nov 19, 2014
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    (2014). Open Space Areas: San Mateo County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/sj663qc6996
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    zipAvailable download formats
    Dataset updated
    Nov 19, 2014
    Area covered
    San Mateo County
    Description

    This polygon shapefile depicts all open space areas within the County of San Mateo, California. This layer is part of a collection of GIS data for San Mateo County, California.

  18. s

    County Boundary: San Mateo County, California, 2008

    • searchworks.stanford.edu
    zip
    Updated Jul 28, 2024
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    (2024). County Boundary: San Mateo County, California, 2008 [Dataset]. https://searchworks.stanford.edu/view/dq636dn9692
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    zipAvailable download formats
    Dataset updated
    Jul 28, 2024
    Area covered
    San Mateo County, California
    Description

    This polygon shapefile depicts the county boundary for San Mateo County in California. This layer is part of a collection of GIS data for San Mateo County, California.

  19. s

    Urban and Rural Boundaries: San Mateo County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated May 10, 2021
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    (2021). Urban and Rural Boundaries: San Mateo County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/mv424kr4640
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    zipAvailable download formats
    Dataset updated
    May 10, 2021
    Area covered
    San Mateo County
    Description

    This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  20. w

    San Mateo Corps

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 5, 2014
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    County GIS (2014). San Mateo Corps [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/ZTlncy1pd3Fi
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    xml, json, csvAvailable download formats
    Dataset updated
    Aug 5, 2014
    Dataset provided by
    County GIS
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Public, Non-Profit, and Private Service Locations within San Mateo County. This data was developed once and is maintained in an as needed basis.

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California Department of Fish and Wildlife (2024). Vegetation - San Mateo County [ds3021] [Dataset]. https://gis.data.ca.gov/datasets/048fa54a97fe404db2255e5fdb935a28
Organization logo

Vegetation - San Mateo County [ds3021]

Explore at:
Dataset updated
Mar 11, 2024
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

In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the “San Mateo Fine Scale Veg Map”, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County’s habitats and natural resources.Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists including Neal Kramer, Brett Hall, Lucy Ferneyhough, Brittany Burnett, Patrick Furtado, and Rosie Frederick. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation), with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) and ecologists with NatureServe (https://www.natureserve.org/) to develop a San Mateo County-specific vegetation classification. For more information on the field sampling and vegetation classification work San Mateo County Fine Scale Vegetation Map Final Report refer to the final report (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212663) issued by CNPS and corresponding floristic descriptions (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212666 and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667).Existing lidar data, collected in 2017 by San Mateo County was used to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as various dates of National Agriculture Imagery Program (NAIP) imagery. Key data sets used in the lifeform and the enhanced lifeform mapping process include high resolution aerial imagery from 2018, the lidar-derived Canopy Height Model (CHM), and several other lidar-derived raster and vector datasets. In addition, a number of forest structure lidar derivatives are used in the machine learning portion of the enhanced lifeform workflow.In 2020, an enhanced lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.In 2020, Tukman Geospatial staff and partners conducted countywide reconnaissance field work to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2021, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In early January of 2022, draft maps were distributed and reviewed by San Mateo County’s community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in April 2022. In total, 106 vegetation classes were mapped. During the classification development phase, minimum mapping units (MMUs) were established for the vegetation mapping project. An MMU is the smallest area to be mapped on the ground. For this project, the mapping team chose to map different features at different MMUs. The MMU is 1/4 acre for agricultural, woody riparian, and wetland herbaceous classes; 1/2 acre for woody upland, upland herbaceous, and bare land classes; 1/5 acre for developed feature types; and 400 square feet for water.Accuracy assessment plot data were collected in 2021 and 2022. Accuracy assessment results were compiled and analyzed in the April of 2022. Overall accuracy of the lifeform map is 98 percent. Overall accuracy of the fine-scale vegetation map is 83.5 percent, with an overall ‘fuzzy’ accuracy of 90.8 percent.

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