Digital Terrain Model (DTM) for Madison County Illinois, 2014

Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois 20150923 Digital Terrain Model (DTM) for Madison County Illinois, 2014 raster digital data Recommended Publishing Citation:Illinois Height Modernization Program, Illinois State Geological Survey, and Federal Emergency Management Agency, 2002–2014, Illinois LiDAR county database: Illinois State Geological Survey http://crystal.isgs.uiuc.edu/nsdihome/webdocs/ilhmp/ (accessed September 18, 2014) http://www.isgs.illinois.edu This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2014. The LiDAR derived DTM covers MadisonCounty, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset was contracted as 2.21 ppsm LiDAR point cloud data. Madison County is approximately 966 square miles in central western Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.67 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.0 and Federal Emergency Management Agency Procedure Memorandum 61.Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies. USGS NGP Base Specification v1 Leica ALS70 Serial Number 7161 4 returns per pulse 0.64 meters 2.44 points per meters squared 1900 meters 150 knots 40.0 degrees 40.9 Hz 273600 Hz 4 nanoseconds 0.5 meters, 1/3^2 1064 nanometers 1 [enabled] 0.15 milliradians 1455.88 meters 17.25% NAD_1983_2011_StatePlane_Illinois_East_FIPS_1201_Ft_US National Geodetic Survey (NGS) Geoid12A 1.00 feet 0.338 feet 0.455 feet Open Terrain survey points compared to DEM. 95th percentile 0.168 feet Urban survey points compared to DEM. 95th percentile 0.181 feet Tall Grass survey points compared to DEM. 95th percentile 0.433 feet Brush survey points compared to DEM. 95th percentile 0.589 feet Forest survey points compared to DEM. 95th percentile 0.352 feet 1.2 1 Withheld (ignore) points were identified in these files using the standard LAS Withheld bit There are not Overlap class points in this data. 8-bit 1 Undetermined/Unclassified 2 Bare-earth 3 Low Vegetation 4 Medium Vegetation 5 High Vegetation 6 Buildings 7 All noise 8 Model Keypoints 9 Water 10 Ignored ground These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. none 20140323 20140331 ground condition Complete None planned -90.277 -89.596 39.004 39.653 None Elevation data LiDAR LAS Bare Earth DEM Breakline Digital Surface Model DSM Hillshade None Illinois Madison County Madison None 2014 ISGS information must be obtained directly from the ISGS or from an authorized distributor. Be aware that ISGS information obtained from an unauthorized third party may have been altered subsequent to original distribution, or may no longer be current. Any access to these data, Web sites, computer systems, electronic services, and electronic networks is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. None. However, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actual surface conditions. This report is released as a draft or preliminary version. Users should not use this data for critical applications without a full awareness of its limitations. ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies. Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois mailing and physical address

615 E. Peabody

Champaign IL 61820 USA 217-333-4747 info@isgs.illinois.edu Monday thru Friday, 8am - 5pm 217-785-0211 ALS Post Processor 2.75 Build#25; GeoCue Version 13.1.45.1; Windows 7 Operating System Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign http://www.cam.illinois.edu/viii/VIII-1.1.htm Madison County, Illinois State Geological Survey, Illinois Department of Transportation and Quantum Spatial Inc. All data have had QAQC visual and statistical testing using observations performed to compare the derivative products (breaklines, classified LAS, DEM and DSM/DTM) as well as aerial photography to check for the logical consistency of the data. These data files include all data points collected. No points have been removed or excluded. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications. Project specifications require that vertical accuracy, as RMSE, of LiDAR data be less than 9.25 cm in open terrain. Vertical accuracy is determined by comparison of elevation of the ground survey points to DEMs derived from the LiDAR points. Differences are calculated to establish a RMSE. The FVA is determined using ground survey points collected in "Open Terrain" compared to elevation values of a DEM derived from the final LiDAR points classified as bare earth. Differences in elevations are calculated to determine a RSME. The RMSE value is multiplied by 1.96 to establish the FVA. 0.138 feet (4.21 cm) RMSE calculated by comparison of open terrain survey points to DEM elevations. FVA tested 0.270 feet (8.23 cm) vertical accuracy at 95-percent confidence level. The vertical accuracy meets the requirement of RMSE less than 9.25 cm and of a FVA less than 18.13 cm. American Surveying and Engineering, PC 20140626 vector digital data and tabular data Chicago, IL American Surveying and Engineering disk 20140323 20140331 ground condition ASE_Gnd_survey This data source is used (along with the airborne GPS/IMU data) to index the LiDAR point cloud data. Additional survey data from particular ground cover categories are used to assess vertical accuracy of LiDAR point data or models derived from LiDAR point data in those categories appropriate. Quantum Spatial, Inc. 201406 LiDAR Acquisition Kankakee Co, IL vector digital data and tabular data Lexington, KY Quantum Spatial, Inc. disk 20140412 20140419 ground condition QSI_LiDAR_Acquire This data source is used to acquire and record airborne LiDAR point set and GPS and IMU data. Quantum Spatial, Inc. 20141015 Lidar Processing, Kankakee Co, IL LiDAR data Lexington, KY Quantum Spatial, Inc. disk 20141015 ground condition QSI_Lidar_Proc_Class This data source is to process the LiDAR data set; indexing, classification, producing hydro breaklines and producing requested surface models. Ground based survey points are collected to be compared as check points with airborne data points. Measurements are recorded by Quantum Spatial for use in establishment of the LiDAR point set to ground elevations (indexing). Additional ground survey points are made in representative ground cover categories to provide for vertical accuracy assessment of LiDAR data or derivative models. Airborne LiDAR collection survey is conducted using fixed wing aircraft equipped with a LiDAR scanning system following specifications of the flight plan. Acquisition flights are planned to assure full coverage of the project area in consideration of local surface terrains. Flight plan is accessed by the aircraft navigation system to achieve predetermined flight specifications. The LiDAR sensor is calibrated prior to each mission. GPS and IMU data are collected during LiDAR acquisition to aid in LiDAR swath calibration. Airborne GPS and IMU data are merged to develop a Single Best Estimate Trajectory for each swath. LiDAR data are calibrated using previous best parameters for this instrument and aircraft. Relative calibration is evaluated using plane-matching analysis and parameter corrections are derived. This is repeated iteratively until residual errors between overlapping swaths, across all project lifts, is reduced to acceptable levels. Data are block adjusted to surveyed control points. Raw FVA is checked using surveyed ground checkpoints. Swath overage points are identified and tagged within each swath. Overage points may be classed as Overlap (12) or classed to Non-ground (1). Points in the calibrated swaths are classified using analysis routines and proprietary software. The routines analyze information on all points to establish appropriate Class designations. Classified LiDAR is inspected on a per tile basis for local classification, manual editing, and peer-based QC checks. The bare earth surface is manually reviewed to ensure correct classification of Class 2 (Ground) points. After the bare-earth surface is finalized, it is used to guide hydro-breaklines generation through heads-up digitization. All data was manually reviewed and any remaining artifacts removed using controls and tools in TerraScan and TerraModeler. Global Mapper is used as a final check of the bare earth dataset. GeoCue creates the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. All classification tags are stored in the original swath files. Classifications follow ASPRS guidelines: Non-ground (Class 1), Ground (Class 2), Low Vegetation (Class 3). Medium Vegetation (Class 4), High Vegetation (Class 5), Buildings (Class 6),Noise/Low Points (Class 7), Model Key Point (Class 8) Water (Class 9), Ignored Ground/Breakline proximity (Class 10) After completion of classification and final QC approval, the FVA, SVAs, and CVA for the project are calculated. Vertical accuracy is determined by comparison of elevation of the ground survey check points to elevations of DEMs derived from the LiDAR Ground points. Differences are calculated to establish a RSME, FVA, CVA and SVA. Ground (class 2) LiDAR is used to create a bare earth surface model. The surface model is then used to heads-up digitize 2D breaklines of rivers of specific width and lakes of specific size. Breaklines delineate the margin where surface water and ground meet. Elevation values are assigned to lakes in accordance with ground data where the water and ground surfaces meet. Elevation values are assigned to rivers of adequate width and are created to depict the flow of the drainage; following the change in ground elevation at the edge of the drainage. All ground (Class 2) LiDAR data inside of the collected inland breaklines are classified to water (Class 9) using TerraScan macro functionality. A buffer of 1 meter is maintained along breaklines of each hydro flattened feature. Points within this one meter buffer are classed from ground (Class 2) to Ignored Ground (Class 10). The breakline files are then translated to ESRI Shapefile format using ESRI conversion tools. Ground (Class 2) points in conjunction with the hydro breaklines are used to generate DEM files in ASCII format on a per tile basis with hydro Breaklines in place to delineate surface water and with neighboring tile data available to minimize seams between tiles. The DEM are converted to ESRI Grid format. Resulting DEM are reviewed in ArcMap for adherence, completeness and any anomalies or inconsistencies. On a per tile basis, data files and Triangulated Integrated Network (TIN) files are generated by processing finalized Ground (class 2) LiDAR points with hydro breaklines delineating surface water through a Geopak macro. Subsequent files are reviewed for adherence and completeness to the data and tile layout used during the creation process. ISGS Secondary Processing: 1. Thorough QAQC check was completed to ensure and evaluate the quality of the data delivered and that all the specifications have been met in accordance to the contract and national specifications set for LiDAR data. 2. Through ArcGIS 10.2 the following steps were completed to created Terrain and hillshade products: a. LAS to Mulitpoint conversion using 3D analyst tools.ASPRS Classifications were used below: 1-Unclassified 2-Ground 3-Low Vegetation 4-Medium Vegetation 5-High Vegetation 6-Building 8-Model Key Points 9-Water b. Terrains are then created and pyramids are calculated. c. Terrain to Raster tool was used in 3D Analyst. The parameters of data type float, natural neighbors method, sampling distance is cell size and the point spaceing value from the LiDAR data. d. Hillshades are created from the above rasters with a Z value of 2. 3. These derivatives were checked again visually for errors. If any errors were perceived corrections were coordinated with vendor and products were updated with corrections. 4. When product was finalized then metadata was completed before making data available. 20140630 mailing and physical address

Suite 1700

Airborne LiDAR collection survey is conducted using fixed wing aircraft equipped with a LiDAR scanning system following specifications of the flight plan. Acquisition flights are planned to assure full coverage of the project area in consideration of local surface terrains. Flight plan is accessed by the aircraft navigation system to achieve predetermined flight specifications. The LiDAR sensor is calibrated prior to each mission. GPS and IMU data are collected during LiDAR acquisition to aid in LiDAR swath calibration. QSI_LiDAR_Acquire 20140419 Quantum Spatial, Inc. Jeff Stroub mailing and physical

4020 Technology Parkway

Sheboygan WI 53083 USA 1-920-457-3631 1-920-457-0410 jstroub@quantumspatial.com Monday through Friday 8:00 AM to 4:00 PM (Central Time) Airborne GPS and IMU data are merged to develop a Single Best Estimate Trajectory for each swath. LiDAR data are calibrated using previous best parameters for this instrument and aircraft. Relative calibration is evaluated using plane-matching analysis and parameter corrections are derived. This is repeated iteratively until residual errors between overlapping swaths, across all project lifts, is reduced to acceptable levels. Data are block adjusted to surveyed control points. Raw FVA is checked using surveyed ground checkpoints. The raw points are applied to a 2500 x 2500 foot grid. The unclassified points are output and named as per a client supplied 2500 foot grid tile. QSI_LiDAR_Acquire 20140419 Quantum Spatial, Inc. Jeff Stroub mailing and physical

4020 Technology Parkway

Sheboygan WI 53083 USA 1-920-457-3631 1-920-457-0410 jstroub@quantumspatial.com Monday through Friday 8:00 AM to 4:00 PM (Central Time) Points in the calibrated swaths are classified using analysis routines and proprietary software. The routines analyze information on all points to establish appropriate Class designations. Classified LiDAR is inspected on a per tile basis for local classification, manual editing, and peer-based QC checks. The bare earth surface is manually reviewed to ensure correct classification of Class 2 (Ground) points. After the bare-earth surface is finalized, it is used to guide hydro-breaklines generation through heads-up digitization. All overlap data is processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data is classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes are created through automated processes only and are not verified for classification accuracy. Due to software limitations within TerraScan, these classes are used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS. All data was manually reviewed and any remaining artifacts removed using controls and tools in TerraScan and TerraModeler. Global Mapper is used as a final check of the bare earth dataset. GeoCue creates the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. All classification tags are stored in the original swath files. Classifications follow ASPRS guidelines: Non-ground (Class 1), Ground (Class 2), Low Vegetation (Class 3). Medium Vegetation (Class 4), High Vegetation (Class 5), Buildings (Class 6), Noise/Low Points (Class 7), Model Keypoints (Class 8), Water (Class 9), Ignored Ground/Breakline proximity (Class 10) After completion of classification and final QC approval, the FVA, SVAs, and CVA for the project are calculated. Vertical accuracy is determined by comparison of elevation of the ground survey check points to elevations of DEMs derived from the LiDAR Ground points. Differences are calculated to establish a RSME, FVA, CVA and SVA. QSI_LiDAR_Acquire 20140419 Quantum Spatial, Inc. Jeff Stroub mailing and physical

4020 Technology Parkway

Sheboygan WI 53083 USA 1-920-457-3631 1-920-457-0410 jstroub@quantumspatial.com Monday through Friday 8:00 AM to 4:00 PM (Central Time) unknown Raster coordinate pair 0.001 0.001 survey feet North American Datum of 1983 2011 Geodetic Reference System 80 6378137.000000 298.257222101 NAD_1983_StatePlane_Illinois_West_FIPS_1202_Feet North American Vertical Datum of 1988 0.01 survey feet Explicit elevation coordinate included with horizontal coordinates mailing and physical address

615 East Peabody Drive

1501 S Oak Street

Champaign IL 61820 USA 217-244-2414 isgs@isgs.illinois.edu Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois Refer to the Legal Notices of Terms and Conditions of the University of Illinois Web Privacy Policy (there is a link in the Cross References section) for policy statements regarding the following: Disclaimer of Liability Disclaimer of Warranties and Accuracy of Data Disclaimer of Endorsement Disclaimer for External Links Disclaimer of Duty to Continue Provision of Data Security Choice of Law By obtaining these data you agree to the provisions of the University of Illinois Web Privacy Policy, regardless of the manner in which the information was obtained. other no compression applied http://isgs.illinois.edu/nsdihome/webdocs/ilhmp/county/dsm-dtm.html http://isgs.illinois.edu/nsdihome/webdocs/ilhmp/county/dsm-dtm.html Windows 7 CD ROM no fees The data are intended for use with GIS software. The ISGS uses ESRI ArcGIS software, however, ESRI formats can be imported into many different GIS software packages. It is expected that customers who obtain these data have the technical expertise to use GIS software. The ISGS does not provide software support of any kind. 20150923 Illinois State Geological Survey (ISGS), a division of the Prairie Research Institute of the University of Illinois mailing and physical address

615 East Peabody Drive

Champaign IL 61820 USA 217-333-4747 isgs@isgs.illinois.edu Monday through Friday 8:00 AM to 5:00 PM (Central Time) FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 The access constraints as stated for the data apply also to the metadata. Refer to the Access Constraints section of the Identification Information section. The use constraints as stated for the data apply also to the metadata. Refer to the Use Constraints section of the Identification Information section. These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. <DIV STYLE="text-align:Left;"><DIV><DIV>This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2014. The LiDAR derived DTM covers MadisonCounty, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset was contracted as 2.21 ppsm LiDAR point cloud data. Madison County is approximately 966 square miles in central western Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.67 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.0 and Federal Emergency Management Agency Procedure Memorandum 61.Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</DIV></DIV></DIV> IL_Madison_DTM_2014 Recommended Publishing Citation: Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, Illinois Department of Natural Resources, 2002–2016, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed March 30, 2016) Elevation data LiDAR LAS Bare Earth DEM Breakline <DIV STYLE="text-align:Left;"><DIV><DIV>None. However, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actualsurface conditions. This report is released as a draft or preliminary version. Users shouldnot use this data for critical applications without a full awareness of its limitations.ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies.</DIV></DIV></DIV> Madison County, Illinois State Geological Survey, Illinois Department of Transportation and Quantum Spatial Inc. Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 1 -90.277 -89.596 39.004 39.653 20190415 11440000 150000000 5000 1.0 FGDC madison_dtm file://X:\counties\madison\madison_dtm Local Area Network 002 2259999.999977 2464999.999977 714999.999853 854999.999853 1 Projected GCS_GRS_1980 Linear Unit: Foot_US (0.304801) GRS_1980_Transverse_Mercator <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi 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KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA 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KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo 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FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFAH/9k= Raster Dataset dataset EPSG 8.9.3(10.3.1) 2 1 0 2259999.999977 714999.999853 2259999.999977 854999.999853 2464999.999977 854999.999853 2464999.999977 714999.999853 2362499.999977 784999.999853 102500 2.000000 70000 2.000000 madison_dtm 679.443542 223.240005 32 20190415