Unpublished MaterialKansas LiDAR Project AOI 1.LAS Lidar FormatNone AvailableNone AvailableAtlanticThis data set is consisting of QL2 LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model (DEM), Digital Surface Model (DSM), and LiDAR Intensity Images which all pieces encompasses a 100 meter buffer around Kansas AOI 1 area, approximately 1708 square miles. Data set Description: This data set consists of LiDAR point cloud LAS swath files and tiled Las files. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified.
Ground Conditions were as follows: water at normal levels; no unusual inundation; no snow; leaf off
USGS-NGP Base Lidar Specification v1.2
All Withhled (ignore) points were identified in the files using the standard LAS Withheld bit.
Class Code:0
Class Item:Never Classified
Class Code:1
Class Item:Undetermined/Unclassified
Class Code:2
Class Item:Bare Earth
Class Code:7
Class Item:Low Noise
Class Code:9
Class Item:Water
Class Code:10
Class Item:Ignored Ground
Class Code:17
Class Item:Bridges
Class Code:18
Class Item:High NoiseUSGS-NGP Base Lidar Specification v1.2
Leica ALS70-HP
Unlimited
0.6
2.78
0.5743
3.03
2000
125
40
34.5
265.6
4
0.46
1064
1
0.15
1657
20
National Geodetic Survey (NGS) Geoid12A
0.196
0.084
58
0.103
58
0.131
52
1.4
6
Withhled (ignore) points were identified in the files using the standard LAS Withheld bit.
Swath “overage” points were identified in these files using the standard LAS overlap bit.
16
0Never Classified1Undetermined/Unclassified2Bare earth7Low Noise9Water10Ignored Ground17Bridges18High NoiseThe Kansas Department of Agriculture and Kansas Data Access and Support Center to obtain professional services related to the development of Light Detection and Ranging (LiDAR) data between October 2014 and March 2015. Additional partners include the USDA Natural Resource Conservation Service, the U.S. Geological Survey, the Kansas GIS Policy Board, the Kansas Department of Transportation and the Kansas Water Office. These LiDAR elevation data will be used for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and subsidence monitoring.All Lidar data was acquired, calibrated, and used in the creation of Lidar derived products by Atlantic.201502240800201503061200ground conditionAs needed-95.995625752-94.96923487939.45165707138.686518908 NoneElevation DataLiDARDEMDSMIntensity ImageNoneAOI 1KansasNo restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of the data. Acknowledgement of the Kansas Department of Agriculture would be appreciated for products derived from these data.The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.Kansas Department of AgricultureTom Moreymailing and physical addressTopekaKS66619USA
6531 SE Forbes Avenue Suit B785-296-5440tom.morey@kda.ks.govMonday through Friday 8:00 AM to 4:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. State NFIP CoordinatorCloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System
\\lidarsrv\GC_Warehouse_5\80658\30\*.las
184 GBTom Morey
Kansas Department of Agriculture
State NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govNone Available Contact kansas Department of AgricultureNone Available Contact kansas Department of AgricultureNone Available Contact kansas Department of AgricultureAll LiDAR data and LiDAR Derived products cover the entire 1708 square mile Area of Interest for AOI 1 that has been completed. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data covers the entire area specified for AOI 1.The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header.Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data;
A hundred and ten (110) surveyed points were measured for the purpose of assessing the accuracy of the Kansas Lidar, AOI 01 data. (58 NVA + 52 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for there individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM metadata reports while this project wide metadata file is reporting the vertical accuracy results from the the source Lidar. Required Vegetated Vertical Accuracy (VVA): 0.294(m), Required Non-Vegetated Vertical Accuracy (NVA): 0.196(m)10.3 cmThis data set was tested at ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy of the bare-earth was found to be RMSEz = 5.3 cm, equating to +/-10.3 cm at 95% confidence level.13.1 cmThis data set was tested at ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/-13.1 cm at the 95th percentile.Horizontal error in LiDAR derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters13.0 cmAs described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 6650 feet MSL; the expected radial horizontal positional error will be RMSEr = 13.0cm.Unpublished MaterialKansas LiDAR AOI 1vector digital dataNone AvailableNone Available None Available0800Atlantic1200Portable Hard Drive201503031200201503061200ground conditionThis data source was used (along with the airborne GPS/IMU Data) to georeferencing of the lidar point cloud data used to create all contracted LiDAR deriveted products. Version of the LAS Standard 1.4 / point data record format 6.Kansas LiDAR (AOI 1)AtlanticH. Alan KimbroughSurvey Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154hakimbrough@theatlgrp.com8:00 - 5:00 Aerial LiDAR Acquisition: Aerial data collection was acquired, in 27 missions ending on March 20th 2015 , using the ALS70 SN#7123. This was to support a 2.5 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Topcon Viper GPS for Set point KNOX_SET, Data acquisition was completed on March 20th 2015.
Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 37 control points and 110 check points (58 NVA and 52 VVA). The check points were a combination of the following ground cover classification: Bare Earth, Open Terrain, Urban Terrain, Brush, High Grass and Low Trees. All control point survey observations were conducted utilizing Leica SR530. All check point survey observations were conducted with a Topcon GRS-1 VRS capable unit. All VRS survey sessions began and ended with redundant occupations against known NGS point values to validate the accuracy and repeat-ability of the survey.201503060800LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the LiDAR system trajectory for each lift. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath fileAtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00201503100800AtlanticChirs CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points.201503150800AtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client.
201503150800AtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00LiDAR Classification: The calibrated LiDAR data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-buffer, 17-bridges, and 18-high noise.201504010800AtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00 LiDAR Intensity Imagery Creation: All LiDAR Intensity Imagery was created from the final calibrated and classified LiDAR Point Cloud. Intensity Images where produced from all classified points and are posted to a 1 meter cell size. Intensity Images where cut to match the provided Kansas Department of Agriculture Tile Index and have corresponding names to match tile names.2015040120150401AtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00Hydro line Collection: Hydro break lines were compiled using the LiDAR intensity data and surface terrain model of the entire project area. After the collection of hydro lines all features were validated for monotonicity and vertical variance, to ensure that no points were floating above ground. The hydro break lines were encoded into the LiDAR surface and used to hydro-enforce/flatten all significant water bodies. These final hydro lines were then used in the production of bare Earth Digital Models and Contours to hydro flatten significant water bodies.201504100800AtlanticChris CannonAssocaite Vice President Production Managermailing and physical address2223 Drake Ave. SW suite 200HuntsvilleAl35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00Bare-Earth DEM Creation: Bare-Earth Digital Elevation Models (DEMs) were derived using the hydro break line and bare-earth (ground) LiDAR points, all DEMs were created with a grid spacing of 1 meter. The DEMs were cut to tiles of 5000 meters X 5000 meters index, provided by the Kansas Department of Agriculture.201505010800AtlanticChris CannonAssociate Vice President Production Managermailing and physical address2223 Drake Ave. SW Suite 200HuntsvilleAL35805United States256-971-9991256-971-1154jccannon@theatlgrp.com8:00 - 5:00First Return DSM Creation: First Return DSMs were created using First Return LiDAR data, at a grid spacing of 1 meter X 1 meter. The DSMs were then tiled out to 5000 meter X 5000 meter index, provided by the Kansas Department of Agriculture.2015050108000Required Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud:0.196
Calculated Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud:0.084
Number of Check Points used to calculate the Reported (NVA) for the RAW Point Cloud:58
Calculated (NVA) of the Classified Point Cloud:0.103
Number of Check Points used to calculate the Reported (NVA) for the Classified Point Cloud:58
Required Vegetated Vertical Accuracy (VVA): 0.294
Calculated (VVA) of the Classified Point Cloud:0.131
Number of Check Points used to calculate the Reported (VVA) for the Classified Point Cloud:52PointPoint18109370370Universal Transverse Mercator150.99960000-93.000000000.00000000500000.000000000.00000000coordinate pair1.01.0metersNorth American Datum of 1983 (HARN)Geodetic Reference System 806378137.0298.257222101North American Vertical Datum of 1988 (Geoid12A)Explicit elevation coordinate included with horizontal coordinates1200metersLiDAR Tiles and associated derived products for Kansas AOI 1LiDAR Tiles and associated derived products for Kansas AOI 1Kansas Department of AgricultureTom Moreymailing and physical address
6531 SE Forbes Ave. Suit B
TopekaKS66619United States785-296-5440tom.morey@kda.ks.govNFIP Coordinator8:00 am - 5:00 pmNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govThe data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.No formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govContact Kansas Department of AgricultureNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govContact Kansas Department of AgricultureNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.gov201508152015081220150812Kansas Department of AgricultureTom Moreymailing and physical address
6531 SE Forbes Ave. Suite B
TopekaKS66619United States785-296-5440tom.morey@kda.ks.govMonday through Friday 8:00 AM to 5:00 PM If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. NFIP CoordinatorFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998No formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.govNoneUnclassifiedNo formal constraints although the present data set does belong to Kansas Department of Agriculture and more information can be obtained by contacting Kansas Department of Agriculture at:
Tom Morey
NFIP Coordinator
785-296-5440
tom.morey@kda.ks.gov20150812local time