20171102 09422300 1.0 TRUE This metadata record describes the 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 This metadata record describes the 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 SanMateoCounty_ShadedRelief2017 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