{ "currentVersion": 11.3, "serviceDescription": "1 meter Digital Elevation Model created from 2016 LIDAR survey of the State Water Project performed by Towill, Inc., for California DWR.\n\nUnits are in feet, referenced to NAVD88.\n\n\n\nDWR makes no warranties or guarantees \u2014 either expressed or implied \u2014 as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. \n\nThis is an official DWR Image Service, published on 9/13/2017 by Joel Dudas of the Division of Engineering, Geodetic Branch, Geospatial Data Support Section, who may be contacted at Joel.Dudas@water.ca.gov, or 916-651-7002.\n\nSurvey Control \u2013 Ground control survey for this project was provided by Towill, Inc. The primary project control points were established using static GPS methods in compliance with Federal Geodetic Control Committee (FGCC) guidelines for First Order GPS surveys. The primary control network was used as a framework for surveying DWR\u2019s existing survey monuments, establishing aerial targets, and tying in the CGPS reference stations supporting the airborne data collection efforts.\n\nDetails of the survey control are contained in the PDF document entitled \u201c14750-0107 Final Survey Control Report 20161216\u201d prepared by Lisa M. Henstridge, PLS and dated December 20, 2016. \n\nAirborne Data Acquisition - The LiDAR survey was accomplished using an Optech Orion M300 LiDAR system operating from a rotary wing aircraft (Bell 206L3 Long Ranger). \n\nThe airborne mission was conducted July 29 - August 3 and August 26-27, 2016. \n\nThe airborne mission plan was based on the following parameters: \nAircraft Flight Altitude: 750m\nAircraft Speed: 60 knots\nNumber of Flight lines: (followed aqueduct centerline)\nNominal Point Density: 9 PPM^2\nCustom Project Projection \u2013 Towill developed for this project \u201cSWP2016\u201d custom map projection based on the Hotine Oblique Mercator Azimuth Center system. All LiDAR data were processed and classified using SWP2016 and then reprojected to their respective California Coordinate System (CCS) Zones 2,3,4,5, and 6. LAS files were delivered in both CCS and the SWP2016 systems.\n\nLiDAR Data Post-Acquisition Processing - Using Novatel, Inc.\u2019s Grafnav version 8.20 software, the differential kinematic data was processed from two base stations, and the solutions compared. This procedure is intended to verify the integrity of the base station coordinates and elevations. Each processing session was computed in both the forward and reverse temporal directions. The comparison of these solutions is intended to provide insight into the quality of the kinematic ambiguity resolution. The horizontal and vertical datums of the LiDAR data set were realized by adjusting the coordinates of the base station points and the relative application of the geoid model to the final data set.\n\nIMU Data Processing and Best Estimated Trajectory - The post-processed ABGPS trajectory was combined with the raw, high-frequency IMU observations in a loosely-coupled Kalman filter-based processing algorithm to produce the final high-frequency Smoothed Best Estimated Trajectory (SBET) using Applanix\u2019s POSPac software, version 4.3. \n\nOptech\u2019s LiDAR Mapping Suite (LMS) \u2013 The ABGPS and integrated IMU data files were used as inputs to process the laser range files collected during the mission. The LMS software package assembles each of these three components and outputs fully georeferenced LAS strip files. The overlap between adjacent strip files are analyzed and if elevation differences exist, these values are used as feedback and the process is repeated. \n\nLiDAR Data Classification - Terrasolid\u2019s Terrascan V.1.2 software was used to tile the LAS strip files into manageable size files and to run macro routines which assist in the ground classification. Bridges and other structures were manually reclassified as non-ground classes. \n\nFollowing a thorough QA/QC review by an analyst, ground points comprising the \u201cbare-earth\u201d surface were used to generate three separate deliverables:\n\nArcGIS DEM \u2013 all ground points are used with ArcGIS 10.3 to develop a 32-bit raster DEM with a 1ft GSD. \n\nInRoads Terrain Surface \u2013 \u201cbare-earth\u201d ground is keypointed and MicroStation is used to create an InRoads TIN surface.\n\nCivil 3D Surfaces - \u201cbare-earth\u201d ground is keypointed and AutoCAD is used to create an Civil 3D TIN surface.\n\nLAS Point RGB Assignments - The aerial imagery was used to assign RGB values to the classified LAS files using MARS software developed by Merrick & Company. \n\nCredits", "name": "elevation/swp_2016_lidar", "description": "1 meter Digital Elevation Model created from 2016 LIDAR survey of the State Water Project performed by Towill, Inc., for California DWR.\n\nUnits are in feet, referenced to NAVD88.\n\n\n\nDWR makes no warranties or guarantees \u2014 either expressed or implied \u2014 as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. \n\nThis is an official DWR Image Service, published on 9/13/2017 by Joel Dudas of the Division of Engineering, Geodetic Branch, Geospatial Data Support Section, who may be contacted at Joel.Dudas@water.ca.gov, or 916-651-7002.\n\nSurvey Control \u2013 Ground control survey for this project was provided by Towill, Inc. The primary project control points were established using static GPS methods in compliance with Federal Geodetic Control Committee (FGCC) guidelines for First Order GPS surveys. The primary control network was used as a framework for surveying DWR\u2019s existing survey monuments, establishing aerial targets, and tying in the CGPS reference stations supporting the airborne data collection efforts.\n\nDetails of the survey control are contained in the PDF document entitled \u201c14750-0107 Final Survey Control Report 20161216\u201d prepared by Lisa M. 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The horizontal and vertical datums of the LiDAR data set were realized by adjusting the coordinates of the base station points and the relative application of the geoid model to the final data set.\n\nIMU Data Processing and Best Estimated Trajectory - The post-processed ABGPS trajectory was combined with the raw, high-frequency IMU observations in a loosely-coupled Kalman filter-based processing algorithm to produce the final high-frequency Smoothed Best Estimated Trajectory (SBET) using Applanix\u2019s POSPac software, version 4.3. \n\nOptech\u2019s LiDAR Mapping Suite (LMS) \u2013 The ABGPS and integrated IMU data files were used as inputs to process the laser range files collected during the mission. The LMS software package assembles each of these three components and outputs fully georeferenced LAS strip files. The overlap between adjacent strip files are analyzed and if elevation differences exist, these values are used as feedback and the process is repeated. \n\nLiDAR Data Classification - Terrasolid\u2019s Terrascan V.1.2 software was used to tile the LAS strip files into manageable size files and to run macro routines which assist in the ground classification. Bridges and other structures were manually reclassified as non-ground classes. \n\nFollowing a thorough QA/QC review by an analyst, ground points comprising the \u201cbare-earth\u201d surface were used to generate three separate deliverables:\n\nArcGIS DEM \u2013 all ground points are used with ArcGIS 10.3 to develop a 32-bit raster DEM with a 1ft GSD. \n\nInRoads Terrain Surface \u2013 \u201cbare-earth\u201d ground is keypointed and MicroStation is used to create an InRoads TIN surface.\n\nCivil 3D Surfaces - \u201cbare-earth\u201d ground is keypointed and AutoCAD is used to create an Civil 3D TIN surface.\n\nLAS Point RGB Assignments - The aerial imagery was used to assign RGB values to the classified LAS files using MARS software developed by Merrick & Company. \n\nCredits", "extent": { "xmin": 233002.85465839505, "ymin": 1217029.242034644, "xmax": 1787044.854658395, "ymax": 2842793.242034644, "spatialReference": { "wkt2": 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