Skip to main content
Advanced Search

Filters: Tags: SAN MATEO (X)

168 results (31ms)   

Filters
Date Range
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" "Standard" (https://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level)...
Tags: 10-digit, 12-digit, 14-digit, 16-digit, 2-digit, All tags...
thumbnail
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Alameda, Area of Complex Channels, Area to be submerged, All tags...
thumbnail
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
thumbnail
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
thumbnail
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Alameda, Alpine, Amador, Antarctica, Antarctica, All tags...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
thumbnail
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
thumbnail
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
thumbnail
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
thumbnail
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
thumbnail
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
thumbnail
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Alameda, Alpine, Amador, Antarctica, Antarctica, All tags...


map background search result map search result map FSA 10:1 NAIP Imagery m_3712221_nw_10_h_20160625_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712222_sw_10_h_20160531_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712228_ne_10_h_20160625_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712253_se_10_h_20160619_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS National Boundary Dataset (NBD) in California State or Territory (published 20240215) FileGDB USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 18 (published 20231223) Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 18050006 (published 20240105) Shapefile USGS 1:24000-scale Quadrangle for San Mateo, CA 1956 USGS 1:24000-scale Quadrangle for San Mateo, CA 1956 USGS 1:62500-scale Quadrangle for San Mateo, CA 1899 USGS 1:62500-scale Quadrangle for San Mateo, CA 1899 USGS US Topo 7.5-minute map for Half Moon Bay, CA 2012 USGS US Topo 7.5-minute map for Hunters Point, CA 2012 USGS US Topo 7.5-minute map for Mindego Hill, CA 2012 USGS US Topo 7.5-minute map for San Leandro, CA 2012 USGS US Topo 7.5-minute map for Woodside, CA 2012 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 4 - 1805 (published 20231230) FileGDB USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 4 - 1806 (published 20231213) FileGDB Geographic Names Information System (GNIS) Full Model for CA (published 20240206) FileGDB Geographic Names Information System (GNIS) Domestic Names for CA (published 20240201) pipes FSA 10:1 NAIP Imagery m_3712221_nw_10_h_20160625_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712222_sw_10_h_20160531_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712228_ne_10_h_20160625_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3712253_se_10_h_20160619_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for San Mateo, CA 1956 USGS 1:24000-scale Quadrangle for San Mateo, CA 1956 USGS US Topo 7.5-minute map for Half Moon Bay, CA 2012 USGS US Topo 7.5-minute map for Hunters Point, CA 2012 USGS US Topo 7.5-minute map for Mindego Hill, CA 2012 USGS US Topo 7.5-minute map for San Leandro, CA 2012 USGS US Topo 7.5-minute map for Woodside, CA 2012 USGS 1:62500-scale Quadrangle for San Mateo, CA 1899 USGS 1:62500-scale Quadrangle for San Mateo, CA 1899 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 18050006 (published 20240105) Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 4 - 1805 (published 20231230) FileGDB USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 4 - 1806 (published 20231213) FileGDB USGS National Boundary Dataset (NBD) in California State or Territory (published 20240215) FileGDB Geographic Names Information System (GNIS) Full Model for CA (published 20240206) FileGDB Geographic Names Information System (GNIS) Domestic Names for CA (published 20240201) pipes USGS Watershed Boundary Dataset (WBD) for 2-digit Hydrologic Unit - 18 (published 20231223) Shapefile