Digital Elevation Model (90m): San Francisco Bay Area, California, 2011 Datasets Stanford University Public content

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Description:
This raster dataset depicts a 90 meter resolution Digital Elevation Model (DEM) stitched together for the nine county San Francisco Bay Area Region, California. This layer is used to create viewsheds, hillshades, slope, aspect, etc. for a variety of analyses. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
Creator:
Bay Area Open Space Council, Conservation Lands Network, San Francisco Bay Area Upland Habitat Goals Project, and GreenInfo Network (Firm)
Publisher:
Bay Area Open Space Council
Provider:
Stanford
Resource Class:
Datasets
Resource Type:
Digital elevation models, Relief models, and Raster data
Subject:
Digital elevation models, Relief models, Altitudes, Elevation, and Imagery and Base Maps
Theme:
Elevation, Imagery, and Land Cover
Temporal Coverage:
2011
Date Issued:
2011
Spatial Coverage:
San Francisco Bay (Calif.), San Francisco Bay Area (Calif.), Alameda County (Calif.), Contra Costa County (Calif.), Marin County (Calif.), Napa County (Calif.), San Francisco County (Calif.), San Mateo County (Calif.), Santa Clara County (Calif.), Solano County (Calif.), and Sonoma County (Calif.)
Rights:
This item is in the public domain. There are no restrictions on use.
Rights Holder:
This work is in the Public Domain, meaning that it is not subject to copyright.
Access Rights:
Public
Format:
ArcGRID
Georeferenced:
More details at:
https://purl.stanford.edu/vq725mh7108

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