View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcGIS Pro
Service Description: <div style='text-align:Left;font-size:12pt'><p><span>Product: 2D Building Footprint derived from Lidar point cloud data. Geographic Extent: Santa Clara County, California, covering approximately 1,754 square miles. Dataset Description: The lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(2011) California Zone 3, Feet and vertical datum of NAVD88 (GEOID18), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 13 individual 2500 ft x 2500 ft tiles clipped to the DPA, as tiled intensity images, as tiled DTMs, as tiled DEMs, and as tiled DSMs; all tiled to the same 2500 ft x 2500 ft schema. Ground Conditions: Lidar was collected in late 2022, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., established a total of 42 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 129 independent accuracy check points, 74 in bare earth and urban landcovers (74 NVA points), 55 in tall grass and brushland/low trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.</span></p></div>
Map Name: SCCBuildings
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: Product: 2D Building Footprint derived from Lidar point cloud data. Geographic Extent: Santa Clara County, California, covering approximately 1,754 square miles. Dataset Description: The lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(2011) California Zone 3, Feet and vertical datum of NAVD88 (GEOID18), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 13 individual 2500 ft x 2500 ft tiles clipped to the DPA, as tiled intensity images, as tiled DTMs, as tiled DEMs, and as tiled DSMs; all tiled to the same 2500 ft x 2500 ft schema. Ground Conditions: Lidar was collected in late 2022, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., established a total of 42 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 129 independent accuracy check points, 74 in bare earth and urban landcovers (74 NVA points), 55 in tall grass and brushland/low trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.
Service Item Id: b1c33ffb05c54a709720e4e8a2be6205
Copyright Text: County of Santa Clara; Sanborn Map Company
Spatial Reference:
102100
(3857)
LatestVCSWkid(0)
Single Fused Map Cache: false
Initial Extent:
XMin: -1.366329963916809E7
YMin: 4388303.5759865185
XMax: -1.343638913083191E7
YMax: 4542471.654213482
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.3608718876899999E7
YMin: 4417384.1646
XMax: -1.34909698931E7
YMax: 4513391.0656
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: SCCBuildings
Author:
Comments: Product: 2D Building Footprint derived from Lidar point cloud data. Geographic Extent: Santa Clara County, California, covering approximately 1,754 square miles. Dataset Description: The lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(2011) California Zone 3, Feet and vertical datum of NAVD88 (GEOID18), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 13 individual 2500 ft x 2500 ft tiles clipped to the DPA, as tiled intensity images, as tiled DTMs, as tiled DEMs, and as tiled DSMs; all tiled to the same 2500 ft x 2500 ft schema. Ground Conditions: Lidar was collected in late 2022, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., established a total of 42 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 129 independent accuracy check points, 74 in bare earth and urban landcovers (74 NVA points), 55 in tall grass and brushland/low trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.
Subject: To provide a visual representation of building outlines in Santa Clara County. The building polygons in this dataset are based on rooftop area, not building base area. Class 6 (Building) lidar points were used to create a 2D building footprints. The building heights were interpolated from difference between DEM and DSM. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.
Category:
Keywords: sccmap,buildings,2Dfootprints,lidar
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 2000
MaxSelectionCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 8192
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates