EarthData International 20070531 Contours vector digital data Contours withheld This metadata record describes the topographic mapping of Hot Springs, AR during 2007. Products generated include lidar point clouds in LAS 1.0 format, random-spacing ASCII bare earth DEM, gridded DEM in ASCII format, 2 foot contours using lidar collected with a Leica ALS-50 Aerial Lidar Sensor. The purpose of this data is to support floodplain mapping efforts as part of FEMA's Map Modernization Program, support for the MS4 Storm water drainage study, and modeling of the water and sewage system. en 20070531 Publication Date Complete Unknown -93.388404 -92.900851 34.580452 34.387528 894398.990000 1040567.210000 1941361.970000 2009943.230000 EDI Thesaurus lidar DEM Topographic bare earth LAS ASCII Geographic Names Information System Hot Springs Arkansas None None EarthData International Angela Worley Project Manager mailing and physical address
7320 Executive Way
Frederick Maryland 21701 United States 301-948-8550 aworley@earthdata.com 8:30-5:00 Monday through Friday ESRI ArcCatalog 9.2.2.1350 Feature Class Airborne lidar data was acquired at an altitude of 5,500' (1676.4 m) above mean terrain with a swath width of 40º, which yields an average post spacing of lidar points of no greater than 6.56 ft (2 m). The project was designed to achieve a vertical accuracy of the lidar points at 7.09 in (18 cm) root mean square error (RMSE). The flight design includes a total of seventy-seven flight lines with approximately 2,246 total line miles (3614.59 km). The lidar data will be acquired prior to the emergence of deciduous foliage. Compliance with the accuracy standard was ensured by the placement of GPS ground control prior to the acquisition of lidar data. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment. 2. The DTM (Digital Terrain Model) data were checked against the project control. 3. Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal). 1. EarthData's proprietary software, Checkedb, for verification against ground survey points. 2. Terrascan, for verification of automated and manual editing and final QC of products. The lidar data fully comply with FEMA guidance as published in Appendix A, April, 2003. The lidar data fully comply with FEMA guidance as published in Appendix A, April 2003 and National Standard for Spatial Accuracy (NSSDA). When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 36.3 cm (equivalent to root mean square error of 18.5 cm if errors were normally distributed). TerraSurv, Inc. 20070313 Unknown Ground Control Report of Hot Springs, AR 1 diagram electronic mail system 20070313 Ground Condition Ground Control Survey Earthdata International was contracted to provide LIDAR mapping services in the area of Hot Springs, AR. Earthdata subcontracted the ground survey tasks to TerraSurv, Inc. The Global Positioning System (GPS) was used to establish the control network. The horizontal datum was the North American Datum of 1983, CORS adjustment (NAD 1983 CORS). The vertical datum was the North American Vertical Datum of 1988 (NAVD 1988). The network was observed in a radial configuration. A base receiver was established on a random point and run throughout the observations in each area. The temporary base stations were tied to the CORS and NSRS control stations. EarthData International, Inc 20061108 Aerial Acquisition of Lidar Data for Hot Springs, AR 1 model Firewire Drive 20070125 20070207 Ground Condition Aerial Lidar Acquisition The City of Hot Springs, AR requested the collection of LIDAR data over Hot Springs, AR. In response EarthData acquired the data on January 28, 2007 using its aircraft with tail number N2636P. LIDAR data was captured using an ALS50 LIDAR ystem, including an inertial measuring unit (IMU) and a dual frequency GPS receiver. An additional GPS receiver was in constant operation over a published control point set by EarthData at the base of operations airport which is a secondary Airport Control Station. During the data acquisition, the receivers collected phase data at an epoch rate of 1 Hz. The use of the Airport base station ensured that all data capture was performed within 50 miles of a base station. The solutions from the City of Hot Springs were found to be of high integrity and met the accuracy requirements for the project. Laser Pulse Rate - 39200 kHz Field of View - 35 degrees Scane Rate - 25 Hz EarthData has developed a unique method for processing lidar data to identify and remove elevation points falling on vegetation, buildings, and other aboveground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale, projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. 1. Using the lidar data set provided by EarthData, the technician performs calibrations on the data set. 2. Using the lidar data set provided by EarthData, the technician performed a visual inspection of the data to verify that there were no voids, and that the data covered the project limits. The technician reviewed these plots and located the areas that contained systematic errors or distortions that were introduced by the lidar sensor. 3. Systematic distortions highlighted in step 2 were removed and the data was re-inspected. Corrections and adjustments can involve the application of angular deflection or compensation for curvature of the ground surface that can be introduced by crossing from one type of land cover to another. 4. The lidar data was trimmed. The data was checked against a control network to ensure that vertical requirements were maintained. Conversion to the client-specified datum and projections were then completed. The lidar flight line data set was then segmented into adjoining tiles for batch processing and data management. 5. The initial batch-processing run removed 95% of points falling on vegetation. The algorithm also removed the points that fell on the edge of hard features such as structures, elevated roadways and bridges. 6. The operator interactively processed the data using lidar editing tools. During this final phase the operator generated a TIN based on a desired thematic layers to evaluate the automated classification performed in step 5. This allowed the operator to quickly re-classify points from one layer to another and recreate the TIN surface to see the effects of edits. Geo-referenced images were toggled on or off to aid the operator in identifying problem areas. The data was also examined with an automated profiling tool to aid the operator in the reclassification. 6. The final DEM was written to an LAS 1.0 format and also converted to ASCII. 7. The point cloud data were also delivered in LAS 1.0 format. withheld 20070418 withheld EarthData International Angela Worley Project Manager mailing and physical address
7320 Executive Way
Frederick Maryland 21704 United States 301-948-8550 metadata@earthdata.com 8:30-5:00 Metadata imported. withheld 20070622 Dataset copied. withheld 20090526 16032400 0 Vector Grid Cell 15000 15000 Simple FALSE 0 TRUE FALSE coordinate pair 0.000250 0.000250 survey feet GCS_North_American_1983 NAD_1983_StatePlane_Arkansas_South_FIPS_0302_Feet North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 North American Vertical Datum of 1988 1.000000 Feet Explicit elevation coordinate included with horizontal coordinates City of Hot Springs Jeff Winter Director of Information Systems mailing and physical address
111 Opera Street
Hot Springs AR 71901 United States 501-321-6835 501-321-6834 jwinter@cityhs.net None Downloadable Data 20070622 20070531 EarthData International Angela Worley Project Manager mailing and physical address
7320 Executive Way
Frederick Maryland 21704 301-948-8550 aworley@earthdata.com FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 en local time 20260401 12551700 FALSE 20260325 10580400 20260325 10580400 CONTOUR_CITY_HOT_SPRINGS_2019 894398.990000 1040567.210000 1941361.970000 2009943.230000 1 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Arkansas_South_FIPS_0302_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Arkansas_South_FIPS_0302_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312333.333333333],PARAMETER[&quot;False_Northing&quot;,1312333.333333333],PARAMETER[&quot;Central_Meridian&quot;,-92.0],PARAMETER[&quot;Standard_Parallel_1&quot;,33.3],PARAMETER[&quot;Standard_Parallel_2&quot;,34.76666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,32.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,3434]]</WKT><XOrigin>-123346500</XOrigin><YOrigin>-91835500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102652</WKID><LatestWKID>3434</LatestWKID></ProjectedCoordinateSystem> 1.0 CONTOUR_CITY_HOT_SPRINGS_2019 Feature Class 0 OBJECTID_1 objectid_1 OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID objectid Integer 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. asdi_elevation_contour_city_hot asdi.ELEVATION.CONTOUR_CITY_HOT_SPRINGS_2019.Entity String 16 0 0 Handle handle String 16 0 0 Level_ level_ Integer 4 10 0 Layer layer String 254 0 0 LvlDesc lvldesc String 254 0 0 LyrFrzn lyrfrzn Integer 4 10 0 LyrLock lyrlock Integer 4 10 0 LyrOn lyron Integer 4 10 0 LvlPlot lvlplot Integer 4 10 0 Color color Integer 4 10 0 EntColor entcolor Integer 4 10 0 LyrColor lyrcolor Integer 4 10 0 Linetyp linetyp String 254 0 0 EntLinetyp entlinetyp String 254 0 0 LyrLnType lyrlntype String 254 0 0 Elevation elevation Double 8 38 8 Class class String 24 0 0 GGroup ggroup Integer 4 10 0 CadModel cadmodel String 254 0 0 Fill fill Integer 4 10 0 LineWt linewt Integer 4 10 0 EntLineWt entlinewt Integer 4 10 0 LyrLineWt lyrlinewt Integer 4 10 0 RefName refname String 254 0 0 LTScale ltscale Double 8 38 8 QrotW qrotw Double 8 38 8 QrotX qrotx Double 8 38 8 QrotY qroty Double 8 38 8 QrotZ qrotz Double 8 38 8 DocName docname String 254 0 0 DocPath docpath String 254 0 0 DocType doctype String 32 0 0 DocVer docver String 16 0 0 created_us created_us String 254 0 0 created_da created_da Date 8 0 0 last_edite last_edite String 254 0 0 last_edi_1 last_edi_1 Date 8 0 0 SHAPE shape Geometry 8 0 0 Feature geometry. ESRI Coordinates defining the features. st_length(shape) st_length(shape) Double 0 0 0 Angela Worley EarthData International Project Manager 301-948-8550 7320 Executive Way Frederick Maryland 21704 aworley@earthdata.com ArcGIS Metadata 1.0 Jeff Winter City of Hot Springs Director of Information Systems 501-321-6835 501-321-6834 111 Opera Street Hot Springs AR 71901 US jwinter@cityhs.net Enterprise Geodatabase Feature Class 2007-05-31 EarthData International CONTOUR_CITY_HOT_SPRINGS_2019 This metadata record describes the topographic mapping of Hot Springs, AR during 2007. Products generated include lidar point clouds in LAS 1.0 format, random-spacing ASCII bare earth DEM, gridded DEM in ASCII format, 2 foot contours using lidar collected with a Leica ALS-50 Aerial Lidar Sensor. The purpose of this data is to support floodplain mapping efforts as part of FEMA's Map Modernization Program, support for the MS4 Storm water drainage study, and modeling of the water and sewage system. Angela Worley EarthData International Project Manager 301-948-8550 7320 Executive Way Frederick Maryland 21701 US aworley@earthdata.com 8:30-5:00 Monday through Friday Hot Springs Arkansas Geographic Names Information System DEM ASCII Topographic bare earth lidar LAS EDI Thesaurus DEM ASCII Topographic bare earth lidar Hot Springs Arkansas LAS None Publication Date 2007-05-31 Esri ArcGIS 13.5.2.57366 1 -93.388404 -92.900851 34.580452 34.387528 Last metadata review date: 20070531 Compliance with the accuracy standard was ensured by the placement of GPS ground control prior to the acquisition of lidar data. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment. 2. The DTM (Digital Terrain Model) data were checked against the project control. 3. Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal). 1. EarthData's proprietary software, Checkedb, for verification against ground survey points. 2. Terrascan, for verification of automated and manual editing and final QC of products. Airborne lidar data was acquired at an altitude of 5,500' (1676.4 m) above mean terrain with a swath width of 40º, which yields an average post spacing of lidar points of no greater than 6.56 ft (2 m). The project was designed to achieve a vertical accuracy of the lidar points at 7.09 in (18 cm) root mean square error (RMSE). The flight design includes a total of seventy-seven flight lines with approximately 2,246 total line miles (3614.59 km). The lidar data will be acquired prior to the emergence of deciduous foliage. The lidar data fully comply with FEMA guidance as published in Appendix A, April, 2003. The lidar data fully comply with FEMA guidance as published in Appendix A, April 2003 and National Standard for Spatial Accuracy (NSSDA). When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 36.3 cm (equivalent to root mean square error of 18.5 cm if errors were normally distributed). EarthData has developed a unique method for processing lidar data to identify and remove elevation points falling on vegetation, buildings, and other aboveground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale, projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. 1. Using the lidar data set provided by EarthData, the technician performs calibrations on the data set. 2. Using the lidar data set provided by EarthData, the technician performed a visual inspection of the data to verify that there were no voids, and that the data covered the project limits. The technician reviewed these plots and located the areas that contained systematic errors or distortions that were introduced by the lidar sensor. 3. Systematic distortions highlighted in step 2 were removed and the data was re-inspected. Corrections and adjustments can involve the application of angular deflection or compensation for curvature of the ground surface that can be introduced by crossing from one type of land cover to another. 4. The lidar data was trimmed. The data was checked against a control network to ensure that vertical requirements were maintained. Conversion to the client-specified datum and projections were then completed. The lidar flight line data set was then segmented into adjoining tiles for batch processing and data management. 5. The initial batch-processing run removed 95% of points falling on vegetation. The algorithm also removed the points that fell on the edge of hard features such as structures, elevated roadways and bridges. 6. The operator interactively processed the data using lidar editing tools. During this final phase the operator generated a TIN based on a desired thematic layers to evaluate the automated classification performed in step 5. This allowed the operator to quickly re-classify points from one layer to another and recreate the TIN surface to see the effects of edits. Geo-referenced images were toggled on or off to aid the operator in identifying problem areas. The data was also examined with an automated profiling tool to aid the operator in the reclassification. 6. The final DEM was written to an LAS 1.0 format and also converted to ASCII. 7. The point cloud data were also delivered in LAS 1.0 format. 2007-04-18 Angela Worley EarthData International Project Manager 301-948-8550 7320 Executive Way Frederick Maryland 21704 US metadata@earthdata.com 8:30-5:00 Lidar Lidar The City of Hot Springs, AR requested the collection of LIDAR data over Hot Springs, AR. In response EarthData acquired the data on January 28, 2007 using its aircraft with tail number N2636P. LIDAR data was captured using an ALS50 LIDAR ystem, including an inertial measuring unit (IMU) and a dual frequency GPS receiver. An additional GPS receiver was in constant operation over a published control point set by EarthData at the base of operations airport which is a secondary Airport Control Station. During the data acquisition, the receivers collected phase data at an epoch rate of 1 Hz. The use of the Airport base station ensured that all data capture was performed within 50 miles of a base station. The solutions from the City of Hot Springs were found to be of high integrity and met the accuracy requirements for the project. Laser Pulse Rate - 39200 kHz Field of View - 35 degrees Scane Rate - 25 Hz Aerial Acquisition of Lidar Data for Hot Springs, AR Aerial Lidar Acquisition 2006-11-08 1 EarthData International, Inc model Ground Condition 2007-01-25 2007-02-07 Earthdata International was contracted to provide LIDAR mapping services in the area of Hot Springs, AR. Earthdata subcontracted the ground survey tasks to TerraSurv, Inc. The Global Positioning System (GPS) was used to establish the control network. The horizontal datum was the North American Datum of 1983, CORS adjustment (NAD 1983 CORS). The vertical datum was the North American Vertical Datum of 1988 (NAVD 1988). The network was observed in a radial configuration. A base receiver was established on a random point and run throughout the observations in each area. The temporary base stations were tied to the CORS and NSRS control stations. 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