Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

San Francisco Bay Water Quality Improvement Fund Major River and Tributary Lines, San Francisco Bay CA, 2019, U.S. EPA Region 9

Metadata Updated: March 22, 2024

This feature class contains 20 line features representing the major rivers and tributaries in the San Francisco Bay Area affected or potentially affected by projects conducted under the San Francisco Bay Water Quality Improvement Fund. Features were extracted from the national 2017 National Hydrography Dataset (NHD) Plus stream data by selecting the following GNIS names: Alameda Creek, Arroyo de la Laguna, Calaveras River, Corte Madera Creek, Coyote Creek, Guadalupe River, Marsh Creek, Mokelumne River, Napa River, Novato Creek, Petaluma Creek, Sacramento River, San Francisquito Creek, San Joaquin River, Sonoma Creek, Stanislaus River, Tuolumne River, Walnut Creek, Wildcat Creek, York Creek. The results were inspected to ensure all results were in the area of interest and were dissolved based on the above feature names. These features are incorporated in the San Francisco Bay Water Quality Improvement Fund Story Map, an interactive series of maps and QlikSense graphics highlighting the competitive grant program which supports projects to protect and restore San Francisco Bay. The application can be found on the EPA GeoPlatform at: https://epa.maps.arcgis.com/apps/MapSeries/index.html?appid=db223d22741140b9b10baf7e91815271 https://epa.maps.arcgis.com/apps/MapSeries/index.html?appid=db223d22741140b9b10baf7e91815271 The story map is also embedded in the following EPA web page:https://www2.epa.gov/sfbay-delta/sf-bay-water-quality-improvement-fund-interactive-project-map https://www2.epa.gov/sfbay-delta/sf-bay-water-quality-improvement-fund-interactive-project-map

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date August 29, 2019
Metadata Created Date March 22, 2024
Metadata Updated Date March 22, 2024
Reference Date(s) September 28, 2018 (publication), June 11, 2019 (revision)
Frequency Of Update annually

Metadata Source

Harvested from Environmental Dataset Gateway ISO Geospatial Metadata

Additional Metadata

Resource Type Dataset
Metadata Date August 29, 2019
Metadata Created Date March 22, 2024
Metadata Updated Date March 22, 2024
Reference Date(s) September 28, 2018 (publication), June 11, 2019 (revision)
Responsible Party U.S. Environmental Protection Agency, Region 9 (Publisher)
Contact Email
Guid 45A7A0A5-0078-4E50-BFD4-13A4A9F5631E
Access Constraints https://edg.epa.gov/EPA_Data_License.html
Bbox East Long -119.183017
Bbox North Lat 42.201291
Bbox South Lat 36.762937
Bbox West Long -124.136097
Coupled Resource
Frequency Of Update annually
Harvest Object Id 6a4d89ce-b4fa-49ac-8b3a-40e57cc2e3dc
Harvest Source Id 9b3cd81e-5515-4bb7-ad3c-5ae44de9b4bd
Harvest Source Title Environmental Dataset Gateway ISO Geospatial Metadata
Licence None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA and USGS National Map would be appreciated.
Lineage
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-124.136097, 36.762937], [-119.183017, 36.762937], [-119.183017, 42.201291], [-124.136097, 42.201291], [-124.136097, 36.762937]]]}
Progress
Spatial Data Service Type
Spatial Reference System 4269
Spatial Harvester True
Temporal Extent End 2017-01-01T00:00:00

Didn't find what you're looking for? Suggest a dataset here.