Digital Aerial Solutions. LLC.Unknownremote-sensing imageTampa, FLDigital Aerial Solutions. LLC.Digital Aerial Solutions. LLC.Unpublished MaterialUnknownremote-sensing imageThe Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS Christian Co. Ill G14PD00970 4 ppm LiDAR Project in Illinois and encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Arc Grid format), control points, project report, and FGDC compliant XML metadata.UndeterminedLiDAR Leica ALS70 Serial Number 130 1.0 4 0.50 4 0.50 4 3775 ft 140 NAD_1983_2011_Stateplane_Illinois_West_FIPS_1202_Ft_US NAVD 1988 National Geodetic Survey (NGS) Geoid12B. 20 0.266 RMSEz 95% 0.522 ACCz Confidence Level bare-earth, short grass 20 0.266 RMSEz 95% 0.522 ACCz Confidence Level bare-earth, short grass 96 0.686 feet 95th Percentile, Tall Grass, Trees/Forested, Brush 1.2 1 Unclassified 2 Ground 3 Low vegetation (0-5 feet) 4 Medium vegetation (5-20 feet) 5 High vegetation (20 feet or more) 6 All structures except bridges 7 All noise 9 Water 10 Ignored Ground (Breakline Proximity) 14 Ground Overlap 15 Default Overlap 17 Bridge Decks 2014120320150331ground conditionCompleteUnknown-89.560778-88.99233439.83902939.327437Digital Elevation ModelelevationSite LocationNRCS Christian Co Ill LiDAR SurveyStateIllinoisCountryUnited StatesnoneNonenoneSpring2014-2015NoneThe data depicts the elevations at time of survey and are accurate only for that time. Exercise professional judgment in using this data.Digital Aerial Solutions. LLC.mailing and physical address

8409 Laurel Fair Circle Ste: 100

TampaFlorida33610USA(813) 628-0788Jhelton@digitalaerial.com8:00 - 5:00Digital Aerial Solutions. LLC.UnclassifiedUnclassifiedInformation UnclassifiedMicrosoft Windows 7 Professional (Build 3600) Service Pack 1; ESRI ArcCatalog 10.0There is not a systematic method of testing when testing horizontal accuracy in LiDAR. The estimated horizontal accuracy at one sigma based on flying height for the project, is between 10cm and 20cm according to manufacturer specifications. The vertical accuracy assesment for the Bare Earth DEM was completed using the 96 ground check points that were collected for the project area. The FVA for the Bare Earth DEM tested 0.504 feet at the 95% confidence level in Open Terrain. The SVA for the Brush Land class tested 0.685 feet at the 95% confidence level, the SVA for the Forested and Fully Grown class tested 0.819 feet at the 95% confidence level, the SVA for the Tall Weeds and Crops class tested 0.686 feet at the 95% confidence level, the SVA for the Urban class tested 0.653 feet at the 95% confidence level.The GPS survey was tied to the Continual Operating Reference Station (CORS) operated by Kara Company and located in Decatur, Illinois. The CORS is designated Kara Co 12. PID is DK4053 and NOAA CORS refers to the station as KA12. This station has a 5 second GPS and Glonass sampling rate. Kara Company provides Real Time Kinematic (RTK) capabilities. This allows corrections to be applied to the points as they are being collected, eliminating the need for an adjustment. Several existing NGS monuments listed in the NSRS database were used as checks within the Ground Survey. This confirmed the survey accuracies were being met as well as providing a redundancy check on the RTK results. The Specified local network accuracy of 5cm at the 95% confidence level was met or exceeded. Data analysis was accomplished by comparing ground NGS checkpoints with LIDAR points from the edited data set, which were within 3.3 feet horizontally from the ground truth points. Based on the number of returns and the density of points in this project, it was not necessary to compare to LiDAR points further away than 3.3 feet horizontally from the ground truth points. Note that the edited LIDAR points are simply a subset of the raw LIDAR points. The points that fell above the ground surface on vegetation canopies, buildings, or other obstructions were removed from the data set. Comparisons were also made between the survey points and the LIDAR derived terrain surface. These comparisons provide an additional verification of the LIDAR data against the ground survey data.Ground Truth data was collected of the five major land cover classes dispersed within the area of interest. 20 points were collected in the Bare Earth/ Open Terrain class, 21 points were collected in the Urban class, 18 points were collected in the Tall Weeds/ Crops class, 16 points were collected in the Brush Lands and Trees class, and 21 points were collected in the Forested and Fully Grown class. All 96 GPSed points were surveyed using the Leica RTK network once completed the rover station is used to collect the high vegetation ground class. A Leica1500 station was used to collect all the shots collected in the high vegetation class, due to the limited GPS signal when working in and around tree canopy.There is not a systematic method of testing when testing horizontal accuracy in LiDAR. However this is tested during calibration of the sensor and is rechecked during the comparing of parallel and perpendicular flight lines. The estimated horizontal accuracy at one sigma based on flying height for the project, is between 10cm and 20cm according to manufacturer specifications. Accuracy defined by NSSDA at the 95 % confidence level would be multiplier by 1.7308 times the RMSE.Data over well-defined surfaces has been tested to meet an RMSEz of 9.25 cm (0.30 ft.) and a Fundamental Vertical Accuracy (FVA) of 18.2 cm (0.59 ft) at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.0.504 ftTested 0.504 ft vertical accuracy at the 95% confidence level in open terrain, based on RMSEz x 1.9600. Tested against the DEM0.686 ftTested 0.686 ft supplemental vertical accuracy (SVA) at the 95th percentile in Tallweed catagories. Tested against the DEM.0.685 ftTested 0.685 ft supplemental vertical accuracy (SVA) at the 95th percentile in Brushland catagories. Tested against the DEM.0.819 ftTested 0.819 ft supplemental vertical accuracy (SVA) at the 95th percentile in Forested catagories. Tested against the DEM.0.653 ftTested 0.653 ft supplemental vertical accuracy (SVA) at the 95th percentile in urban catagories. Tested against the DEM.0.690 ftTested 0.690 ft consolidated vertical accuracy (CVA) at the 95th percentile in all categories of data. Tested against the DEM.The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey, laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 40 km radius from the flight survey area.The unedited data are classified to facilitate the application of the appropriate feature extraction filters. Combinations of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. The data was classified as follows: Class 1 =Processed, but unclassified Class 2 = Bare-earth ground Class 3 = Low Vegetation is 0-5 feet Class 4 = Medium Vegetation is 5-20 feet Class 5 = High Vegetation is 20 feet or more Class 6 = Buildings, bridges, other manmade structures Class 7 = Noise (low or high, manually identified, if needed Class 9 = Water Class 10 Ignored Ground (Breakline Proximity) Class 14 = Ground Overlap Class 15 = Defualt Overlap Class 17 = Bridge DecksLeica ALS 70 serial number 130Airborne Global Positioning SystemInertial Measuring UnitGlobal Positioning System20150315LiDAR Scan FilesLiDAR Scans, GPS dataDigital Aerial Solutions. LLC.mailing and physical address

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TampaFlorida33610USA(813) 628-0788jhelton@digitalaerial.com8:00 - 5:00The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Leica and delivered with the Leica System. The resultant file is in a LAS binary file format. The LAS version 1.2 file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return number, intensity value, xyz, etc.). The resultant points are produced in the State Plane Coordinate System Illinois West (FIPS 1202), with units in US Survey Feet and referenced to the NAVD88 datum. The LiDAR mass points were processed in American Society for Photogrammetry and Remote Sensing LAS 1.2 format. The header file for each dataset is complete as defined by the LAS 1.0 specification. The datasets were divided into a 5280 ft. by 5280 ft. tiling scheme, based on the US National grid index. The tiles are contiguous, do not overlap, and are suitable for seamless topographic data mosaics that include no "no data" areas.Airborne Global Positioning System dataInertial Measurement UnitLiDAR scans20150331LiDAR Point Cloud data sets LAS 1.2 file formatDigital Aerial Solutions. LLC.mailing and physical address

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TampaFlorida33610USA(813) 628-0788jhelton@digitalaerial.com8:00 - 5:00The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.LAS 1.2 Format20150425Filtered data LiDAR datasetsDigital Aerial Solutions. LLC.mailing and physical address

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TampaFlorida33610USA(813) 628-0788jhelton@digitalaerial.com8:00 - 5:00Filtered and edited data are subjected to rigorous QA/QC, A series of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is established by DAS and GPS-derived ground control points (GCPs) in various areas of dominant and prescribed land cover. These points are coded according to land cover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a statistically significant accuracy assessment, as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA), according to Federal Geographic Data Committee (FGDC) specifications.Filtered LiDAR 1.2 data20150522Quality verified bare earth data set3-D hydrologic breaklinesDigital Aerial Solutions. LLC.mailing and physical address

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TampaFlorida33610USA(813) 628-0788jhelton@digitalaerial.com8:00 - 5:00The Bare Earth DEM was extracted from the raw LIDAR products and attributed with the bare earth elevation for each cell of the DEM. Bare Earth DEMs do not include buildings, vegetation, bridges or overpass structures in the bare earth model. Where abutments were clearly delineated, this transition occurred at the junction of the bridge and abutment. Where this junction was not clear, the extractor used their best estimate to delineate the separation of ground from elevated bridge surface. In the case of bridges over water bodies, if the abutment was not visible, the junction was biased to the prevailing stream bank so as not to impede the flow of water in a hydrographic model. Bare earth surface includes the top of water bodies not underwater terrain, if visible.Bare Earth LiDAR Returns201506253 foot Bare-Earth DEMDigital Aerial Solutions. LLC.mailing and physical address

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TampaFlorida33610USA(813) 628-0788jhelton@digitalaerial.com8:00 - 5:000RasterPixelrow and column33survey feetTransverse Mercator0.9999411764705882-90.1666666666666736.666666666666662296583.3333333330.0D_North_American_1983Geodetic Reference System 806378137.000000298.257222GCS_NAD_1983NAD_1983_HARN_StatePlane_Illinois_West_FIPS_1202_FeetNorth American Vertical Datum of 1988 (Geoid 12B)0.001000feetExplicit elevation coordinate included with horizontal coordinates32-bit GeoTIFF format bare earth tilesREDAS Imagine formatERDASThe Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS-ChrisitanCo Ill LiDAR Survey encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Float GRID format), control points, project report, and FGDC compliant XML metadata.The Light Detection and Ranging (LiDAR) dataset is a survey of the NRCS-ChrisitanCo Ill LiDAR Survey encompasses 715 square miles. The LiDAR point cloud was flown at a nominal post spacing of 0.5 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0 The flight lines were acquired by Digital Aerial Solutions, LLC. between Dec 2014 and March 2015. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM GeoTIFF format), bare earth surface DEMs mosaic (raster DEM ESRI Float GRID format), control points, project report, and FGDC compliant XML metadata.20150726Joshua HeltonDigital Aerial Solutions. LLC.LiDAR Managermailing and physical address

8409 Laurel Fair Circle Ste:100

TampaFlorida33610USA(813) 628-0788(813) 628-0777jhelton@digitalaerial.com8:00 - 5:00 ESTFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeTo be determined by clientnoneGeographyUnclassifiedInformation Unclassified