10 datasets found
  1. d

    Vegetation - San Mateo County [ds3021]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - San Mateo County [ds3021] [Dataset]. https://catalog.data.gov/dataset/vegetation-san-mateo-county-ds3021-679e4
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Area covered
    San Mateo County
    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

  2. TIGER/Line Shapefile, 2022, County, San Mateo County, CA, Address...

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Mateo County, CA, Address Range-Feature [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-mateo-county-ca-address-range-feature
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    San Mateo 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 Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

  3. A

    i15 LandUse SanMateo2012

    • data.amerigeoss.org
    • data.cnra.ca.gov
    • +5more
    Updated Feb 16, 2022
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    United States (2022). i15 LandUse SanMateo2012 [Dataset]. https://data.amerigeoss.org/dataset/i15-landuse-sanmateo2012-498b8
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    geojson, html, csv, zip, kml, arcgis geoservices rest apiAvailable 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.

    Provisional data 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 2012 San Mateo 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 North Central Region using extensive field visits and aerial photography. TLand use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters, under the leadership of Jean Woods, and North Central Region, under the supervision of Kim Rosmaier. This data was developed to monitor land use for the primary purpose of quantifying water use within this study area and determining changes in water use associated with land use changes over time. 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 San Mateo County conducted by the California Department of Water Resources, North Central Regional Office staff. The field work for this survey was conducted during June 2012 by staff visiting each field and noting what was grown. Land use field boundaries were digitized using ArcGIS 10.0 with 2010 National Agriculture Imagery Program (NAIP) one-meter imagery as the base. Field boundaries were reviewed and updated using 2012 NAIP imagery when it became available. Field boundaries were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. Images and land use boundaries were loaded onto laptop computers that were used as the field data collection tools. GPS units connected to the laptops were used to confirm surveyor's location with respect to the fields. Staff took these laptops into the field and virtually all the areas were visited to positively identify the land use. Land use codes were digitized in the field on laptop computers using ESRI ArcMAP software, version 10.0. Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North 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.

  4. a

    Digital Elevation Model (DEM) 2017 GeoTiff Tiles (zip file)

    • data-smcmaps.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 12, 2018
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    San Mateo County (2018). Digital Elevation Model (DEM) 2017 GeoTiff Tiles (zip file) [Dataset]. https://data-smcmaps.opendata.arcgis.com/documents/d72d8286fecc43b890d6879991d4f4a9
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    Dataset updated
    Mar 12, 2018
    Dataset authored and provided by
    San Mateo County
    Description

    Digital Elevation Models (DEM's) for the 2017 San Mateo LiDAR project covering approximately 578 square miles in San Mateo County, CA. This dataset meets QL2 accuracy and with 4 points per meter pulse density. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2. Project Projection, Datums and Units. Projection - State Plane California III FIPS 0403. Horizontal datum - North American Datum of 1983 (NAD83). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - US feetThe full metadata file in .xml format can be viewed here: DEM_Metadata

  5. a

    BOE TRA 2024 co41

    • gis-california.opendata.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated Jun 1, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co41 [Dataset]. https://gis-california.opendata.arcgis.com/maps/CDTFA::boe-tra-2024-co41
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    Dataset updated
    Jun 1, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in San Mateo County for the specified assessment roll year. Boundary alignment is based on the 2021 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  6. O

    County Shaded Relief Service 2006

    • data.smcgov.org
    • data.wu.ac.at
    application/rdfxml +5
    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.smcgov.org/Environment/County-Shaded-Relief-Service-2006/juc6-mz99/about
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    tsv, csv, application/rssxml, json, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Nov 28, 2017
    Dataset authored and 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. San Francisco Bay Region Spheres of Influence

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    • +1more
    Updated Aug 23, 2019
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    MTC/ABAG (2019). San Francisco Bay Region Spheres of Influence [Dataset]. https://opendata.mtc.ca.gov/datasets/e9accd91e02f47bd83edea4781eeb187
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    Dataset updated
    Aug 23, 2019
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    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 2019Contra 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 2019City and County of San Francisco - does not have a sphere of influenceSan Mateo County - 'Sphere of Influence' feature service data downloaded from San Mateo County GIS open data on 15 August 2019Santa Clara County - 'City Spheres of Influence' feature service data downloaded from Santa Clara County Planning Office GIS Data on 15 August 2019Solano County - SphereOfInfluence feature service data downloaded from Solano GeoHub on 15 August 2019Sonoma County - 'SoCo PRMD GIS Spheres Influence.zip' downloaded from County of Sonoma on 15 August 2019

  8. D

    Dataset Alerts - Open and Monitoring

    • datasf.org
    • data.sfgov.org
    • +1more
    application/rdfxml +5
    Updated Mar 8, 2025
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    (2025). Dataset Alerts - Open and Monitoring [Dataset]. https://datasf.org/opendata/
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    json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 8, 2025
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

  9. d

    Input Data Boundary Outlines for DEMs of the North-Central California Coast...

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Sep 14, 2017
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    U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), Santa Cruz, CA. (2017). Input Data Boundary Outlines for DEMs of the North-Central California Coast (DEM_source_data.shp) [Dataset]. https://search.dataone.org/view/b504e47d-5b8c-4948-a028-5092e0a4c357
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    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), Santa Cruz, CA.
    Time period covered
    Jan 1, 1984 - Jan 1, 2011
    Area covered
    Description

    A GIS polygon shapefile outlining the boundaries of the native input datasets used to construct a seamless, 2-meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the North-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 m elevation contour.

  10. Elevation Coverage Map

    • hub.arcgis.com
    • rwanda.africageoportal.com
    • +2more
    Updated Apr 10, 2014
    + more versions
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    Esri (2014). Elevation Coverage Map [Dataset]. https://hub.arcgis.com/maps/3af669838f594b378f90c10f98e46a7f
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    Dataset updated
    Apr 10, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain, TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Maxar's Precision3D covering parts of the globe.Topography sources listed in the table below are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only. Data Source Native Pixel Size Approximate Pixel Size (meters) Coverage Primary Source Country/Region

    Topography

    Australia 1m 1 meter 1 Partial areas of Australia Geoscience Australia Australia

    Moreton Bay, Australia 1m 1 meter 1 Moreton Bay region, Australia Moreton Bay Regional Council Australia

    New South Wales, Australia 5m 5 meters 5 New South Wales State, Australia DFSI Australia

    SRTM 1 arc second DEM-S 0.0002777777777779 degrees 31 Australia Geoscience Australia Australia

    Burgenland 50cm 0.5 meters 0.5 Burgenland State, Austria Land Burgenland Austria

    Upper Austria 50cm 0.5 meters 0.5 Upper Austria State, Austria Land Oberosterreich Austria

    Austria 1m 1 meter 1 Austria BEV Austria

    Austria 10m 10 meters 10 Austria BEV Austria

    Wallonie 50cm 0.5 meters 0.5 Wallonie state, Belgium Service public de Wallonie (SPW) Belgium

    Vlaanderen 1m 1 meter 1 Vlaanderen state, Belgium agentschap Digitaal Vlaanderen Belgium

    Canada HRDEM 1m 1 meter 1 Partial areas of Canada Natural Resources Canada Canada

    Canada HRDEM 2m 2 meter 2 Partial areas of the southern part of Canada Natural Resources Canada Canada

    Denmark 40cm 0.4 meters 0.4 Denmark KDS Denmark

    Denmark 10m 10 meters 10 Denmark KDS Denmark

    England 1m 1 meter 1 England Environment Agency England

    Estonia 1m 1 meter 1 Estonia Estonian Land Board Estonia

    Estonia 5m 5 meters 5 Estonia Estonian Land Board Estonia

    Estonia 10m 10 meters 10 Estonia Estonian Land Board Estonia

    Finland 2m 2 meters 2 Finland NLS Finland

    Finland 10m 10 meters 10 Finland NLS Finland

    France 1m 1 meter 1 France IGN-F France

    Bavaria 1m 1 meter 1 Bavaria State, Germany Bayerische Vermessungsverwaltung Germany

    Berlin 1m 1 meter 1 Berlin State, Germany Geoportal Berlin Germany

    Brandenburg 1m 1 meter 1 Brandenburg State, Germany GeoBasis-DE/LGB Germany

    Hamburg 1m 1 meter 1 Hamburg State, Germany LGV Hamburg Germany

    Hesse 1m 1 meter 1 Hesse State, Germany HVBG Germany

    Nordrhein-Westfalen 1m 1 meter 1 Nordrhein-Westfalen State, Germany Land NRW Germany

    Saxony 1m 1 meter 1 Saxony State, Germany Landesamt für Geobasisinformation Sachsen (GeoSN) Germany

    Sachsen-Anhalt 2m 2 meters 2 Sachsen-Anhalt State, Germany LVermGeo LSA Germany

    Hong Kong 50cm 0.5 meters 0.5 Hong Kong CEDD Hong Kong SAR

    Italy TINITALY 10m 10 meters 10 Italy INGV Italy

    Japan DEM5A *, DEM5B * 0.000055555555 degrees 5 Partial areas of Japan GSI Japan

    Japan DEM10B * 0.00011111111 degrees 10 Japan GSI Japan

    Latvia 1m 1 meters 1 Latvia Latvian Geospatial Information Agency Latvia

    Latvia 10m 10 meters 10 Latvia Latvian Geospatial Information Agency Latvia

    Latvia 20m 20 meters 20 Latvia Latvian Geospatial Information Agency Latvia

    Lithuania 1m 1 meters 1 Lithuania NZT Lithuania

    Lithuania 10m 10 meters 10 Lithuania NZT Lithuania

    Netherlands (AHN3/AHN4) 50cm 0.5 meters 0.5 Netherlands AHN Netherlands

    Netherlands (AHN3/AHN4) 10m 10 meters 10 Netherlands AHN Netherlands

    New Zealand 1m 1 meters 1 Partial areas of New Zealand Land Information New Zealand (Sourced from LINZ. CC BY 4.0) New Zealand

    Northern Ireland 10m 10 meters 10 Northern Ireland OSNI Northern Ireland

    Norway 10m 10 meters 10 Norway NMA Norway

    Poland 1m 1 meter 1 Partial areas of Poland GUGIK Poland

    Poland 5m 5 meters 5 Partial areas of Poland GUGIK Poland

    Scotland 1m 1 meter 1 Partial areas of Scotland Scottish Government et.al Scotland

    Slovakia 1m 1 meter 1 Slovakia ÚGKK SR Slovakia

    Slovakia 10m 10 meters 10 Slovakia GKÚ Slovakia

    Slovenia 1m 1 meter 1 Slovenia ARSO Slovenia

    Madrid City 1m 1 meter 1 Madrid city, Spain Ayuntamiento de Madrid Spain

    Spain 2m (MDT02 2019 CC-BY 4.0 scne.es) 2 meters 2 Partial areas of Spain IGN Spain

    Spain 5m 5 meters 5 Spain IGN Spain

    Spain 10m 10 meters 10 Spain IGN Spain

    Varnamo 50cm 0.5 meters 0.5 Varnamo municipality, Sweden Värnamo Kommun Sweden

    Canton of Basel-Landschaft 25cm 0.25 meters 0.25 Canton of Basel-Landschaft, Switzerland Geoinformation Kanton Basel-Landschaft Switzerland

    Grand Geneva 50cm 0.5 meters 0.5 Grand Geneva metropolitan, France/Switzerland SITG Switzerland and France

    Switzerland swissALTI3D 50cm 0.5 meters 0.5 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein

    Switzerland swissALTI3D 10m 10 meters 10 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein

    OS Terrain 50 50 meters 50 United Kingdom Ordnance Survey United Kingdom

    Douglas County 1ft 1 foot 0.3048 Douglas County, Nebraska, USA Douglas County NE United States

    Lancaster County 1ft 1 foot 0.3048 Lancaster County, Nebraska, USA Lancaster County NE United States

    Sarpy County 1ft 1 foot 0.3048 Sarpy County, Nebraska, USA Sarpy County NE United States

    Cook County 1.5 ft 1.5 foot 0.46 Cook County, Illinois, USA ISGS United States

    3DEP 1m 1 meter 1 Partial areas of the conterminous United States, Puerto Rico USGS United States

    NRCS 1m 1 meter 1 Partial areas of the conterminous United States NRCS USDA United States

    San Mateo County 1m 1 meter 1 San Mateo County, California, USA San Mateo County CA United States

    FEMA LiDAR DTM 3 meters 3 Partial areas of the conterminous United States FEMA United States

    NED 1/9 arc second 0.000030864197530866 degrees 3 Partial areas of the conterminous United States USGS United States

    3DEP 5m 5 meter 5 Alaska, United States USGS United States

    NED 1/3 arc second 0.000092592592593 degrees 10 conterminous United States, Hawaii, Alaska, Puerto Rico, and Territorial Islands of the United States USGS United States

    NED 1 arc second 0.0002777777777779 degrees 31 conterminous United States, Hawaii, Alaska, Puerto Rico, Territorial Islands of the United States; Canada and Mexico USGS United States

    NED 2 arc second 0.000555555555556 degrees 62 Alaska, United States USGS United States

    Wales 1m 1 meter 1 Wales Welsh Government Wales

    WorldDEM4Ortho 0.00022222222 degrees 24 Global (excluding the countries of Azerbaijan, DR Congo and Ukraine) Airbus Defense and Space GmbH World

    SRTM 1 arc second 0.0002777777777779 degrees 31 all land areas between 60 degrees north and 56 degrees south except Australia NASA World

    EarthEnv-DEM90 0.00083333333333333 degrees 93 Global N Robinson,NCEAS World

    SRTM v4.1 0.00083333333333333 degrees 93 all land areas between 60 degrees north and 56 degrees south except Australia CGIAR-CSI World

    GMTED2010 7.5 arc second 0.00208333333333333 degrees 232 Global USGS World

    GMTED2010 15 arc second 0.00416666666666666 degrees 464 Global USGS World

    GMTED2010 30 arc second 0.0083333333333333 degrees 928 Global USGS World

    Bathymetry

    Canada west coast 10 meters 10 Canada west coast Natural Resources Canada Canada

    Gulf of Mexico 40 feet 12 Northern Gulf of Mexico BOEM Gulf of Mexico

    MH370 150 meters 150 MH370 flight search area (Phase 1) of Indian Ocean Geoscience Australia Indian Ocean

    Switzerland swissBATHY3D 1 - 3 meters 1, 2, 3 Lakes of Switzerland swisstopo Switzerland

    NCEI 1/9 arc second 0.000030864197530866 degrees 3 Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast NOAA NCEI United States

    NCEI 1/3 arc second 0.000092592592593 degrees 10 Partial areas of eastern and western United States coast NOAA NCEI United States

    CRM 1 arc second (Version 2) 0.0002777777777779 degrees 31 Southern California coast of United States NOAA United States

    NCEI 1 arc second 0.0002777777777779 degrees 31 Partial areas of northeastern United States coast NOAA NCEI United States

    CRM 3 arc second 0.00083333333333333 degrees 93 United States Coast NOAA United States

    NCEI 3 arc second 0.00083333333333333 degrees 93 Partial areas of northeastern United States coast NOAA NCEI United States

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

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California Department of Fish and Wildlife (2024). Vegetation - San Mateo County [ds3021] [Dataset]. https://catalog.data.gov/dataset/vegetation-san-mateo-county-ds3021-679e4

Vegetation - San Mateo County [ds3021]

Explore at:
Dataset updated
Nov 27, 2024
Dataset provided by
California Department of Fish and Wildlife
Area covered
San Mateo County
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

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