Unpublished Material Digital Image File .IMG None Available None Available Kansas Department of Agriculture This data set is consisting of QL2 LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model, Digital Surface Model, and LiDAR Intensity Images which all pieces encompasses a 100 meter buffer around Kansas AOI 2 area, approximately 135 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. Each file represents a separate swath of LiDAR. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off USGS-NGP Base Lidar Specification v1.2 The 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 February 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. 20150307 1200 ground condition Complete As needed -96.883200744 -96.254677007 39.278265943 39.043625827 None Elevation Data LiDAR DEM DSM Intensity Image None Manhattan Kansas AOI 2 No 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aware that temporal changes may have occurred since this data set was collected and that some parts of these data may no longer represent actual surface conditions.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. Acknowledgment 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 Agriculture Tom Morey mailing and physical address Topeka KS 66619 United States

6531 SE Forbes Ave. Suit B

785-296-5440 tom.morey@kda.ks.gov Monday through Friday 8:00 AM to 4:00 PM State NFIP Coordinator CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System \\lidarsrv\GC_Warehouse_5\80658\30\*.las 184 GB Tom Morey Kansas Department of Agriculture State NFIP Coordinator 785-296-5440 tom.morey@kda.ks.gov None Available Contact Kansas Department of Agriculture None Available Contact Kansas Department of Agriculture None Available Contact Kansas Department of Agriculture Digital Elevation Model (DEM) data covers the entire 135 square mile Area of Interest intended for this project task. All DEM 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 cover the entire area specified for this project. 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 Bare Earth DEMs was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; Thirty two (32) surveyed points were measured for the purpose of assessing the accuracy of the Kansas Lidar, AOI 02 data. (26 NVA + 6 VVA) 8.3 cm This DEM data set was tested to meet 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 DEMs was found to be RMSEz = 4.3 cm, equating to +/-8.3 cm at 95% confidence level. 16.6 cm This DEM data set was tested to meet 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 +/-16.6 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 parameters. 13.0 cm As 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 2300m; the expected radial horizontal positional error will be RMSEr = 13.0cm. Unpublished Material Digital Image File .IMG None Available None Available None Available 0800 Atlantic 1200 Portable Hard Drive 20150307 1200 ground condition This data source was used (along with the airborne GPS/IMU Data) to georeferencing of the lidar point cloud data used to create Digital Elevation Models (DEM) Manhattan, Kansas LiDAR Derived DEMs Atlantic H. Alan Kimbrough Survey Manager mailing and physical address

2223 Drake Ave. SW Suit 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 hakimbrough@theatlgrp.com 8:00 - 5:00 Aerial LiDAR Acquisition: Aerial data collection was acquired, in one (1) mission, using the ALS70 SN#7123 at an altitude of 6650 feet MSL. 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 MHK_SET, Data acquisition was completed on March 7th 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 32 check points (26 NVA + 6 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, and High Grass. All field survey observations were conducted between December 1, 2014 and March 27, 2015 Leica SR530 and Topcon Hyper V Dual Frequency GPS equipment. 20150307 0800 Atlantic Scott Jones Missions Operations Manager mailing and physical address

2223 Drake Ave. SW Suit 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 srjones@theatlgrp.com 8:00 - 5:00 LiDAR 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 file 20150308 0800 Atlantic Chris Cannon Associate Vice President Productions Manager mailing and physical address

2223 Drake Ave. SW Suit 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 jccannon@theatlgrp.com 8:00 - 5:00 Initial 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. 20150412 0800 LiDAR 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. 20150510 0800 Atlantic Chris Cannon Associate Vice President Production Manager mailing and physical address

2223 Drake Ave. SW Suit 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 jccannon@theatlgrp.com 8:00 - 5:00 Atlantic Chris Cannon Associate Vice President Production Manager mailing and physical address

2223 Drake Ave. SW Suite 200

Huntsville AL 35803 United States 256-971-9991 256-971-1154 jccannon@theatlgrp.com 8:00 - 5:00 LiDAR 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 20150520 0800 Chris Cannon Atlantic Associate Vice President Production Manager mailing and physical address

2223 Drake Ave. SW Suite 200

Huntsville AL 35805 Untied States 256-971-9991 256-971-1154 jccannon@theatlgrp.com 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. 20150520 0800 Chris Cannon Atlantic Associate Vice President Production Manager mailing and physical address

2223 Drake Ave. SW Suite 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 jcannon@theatl.com Hydro 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. 20150610 0800 Atlantic Chris Cannon Associate Vice President Production Manager mailing and physical address

2223 Drake Ave. SW Suite 200

Huntsville AL 35805 United States 256-971-9991 256-971-1154 jccannon@theatlgrp.com 8:00 - 5:00 Bare-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. 20150710 0800 0 Required Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud:0.196 Calculated Non-Vegetated Vertical Accuracy (NVA) for the Point Cloud:0.081 Number of Check Points used to calculate the Reported (NVA) for the RAW Point Cloud:26 Calculated (NVA) of the Classified Point Cloud:0.08 Number of Check Points used to calculate the Reported (NVA) for the Classified Point Cloud:26 Required Vegetated Vertical Accuracy (VVA): 0.294 Calculated (VVA) of the Classified Point Cloud:0.143 Number of Check Points used to calculate the Reported (VVA) for the Classified Point Cloud:6 Raster Pixel 5000 5000 Universal Transverse Mercator 14 0.99960000 -99.00000000 0.00000000 500000.00000000 0.00000000 coordinate pair 1.0 1.0 meters North American Datum of 1983 (HARN) Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 (Geoid12A) Explicit elevation coordinate included with horizontal coordinates 1200 meters Digital Elevation Model Tiles for Manhattan Kansas AOI 2 Digital Elevation Model Tiles for Manhattan Kansas AOI 2 Kansas Department of Agriculture Tom Morey mailing and physical address Topeka KS 66619 United States

6531 Se Forbes Ave. Suit B

785-296-5440 tom.morey@kda.ks.gov State NFIP Coordinator 8:00 am - 5:00 pm 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.gov The 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.gov Contact Kansas Department of Agriculture 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.gov Contact Kansas Department of Agriculture 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.gov 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.gov 20150807 0800 20150806 20150806 Kansas Department of Agriculture Tom Morey mailing and physical address Topeka KS 66619 United States

6531 SE Forbes Ave. Suite B

785-296-5440 tom.morey@kda.ks.gov Monday 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. State NFIP Coordinator FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 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.gov 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.gov None Unclassified 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.gov 20150806 local time