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Layer: 100 ft Contours_9K (ID: 55)

Parent Layer: Contours

Name: 100 ft Contours_9K

Display Field: Tile_Name

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: Dataset Description: San Diego, California 2014 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in late 2014 and early 2015, 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, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area. Photo Science used classified LAS files to show the manually reviewed bare earth surface. This allowed the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydroflattened Digital Elevation Model (DEM) with a 2.5 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary. This resulting data was used to create the raw, individual two foot contour tiles.

Copyright Text: SanGIS, Photo Science, A Quantum Spatial Company flew the LiDAR and processed the data.

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Supported Query Formats: JSON, geoJSON, PBF

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