20190620 15374500 1.0 FGDC CSDGM Metadata FALSE RAST_NW_DEM.img 002 296225.991252 605329.991252 548191.984503 920205.984503 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_New_Jersey_FIPS_2900_Ft_US <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/10.5'><WKT>PROJCS[&quot;NAD_1983_2011_StatePlane_New_Jersey_FIPS_2900_Ft_US&quot;,GEOGCS[&quot;GCS_NAD_1983_2011&quot;,DATUM[&quot;D_NAD_1983_2011&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,492125.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-74.5],PARAMETER[&quot;Scale_Factor&quot;,0.9999],PARAMETER[&quot;Latitude_Of_Origin&quot;,38.83333333333334],UNIT[&quot;Foot_US&quot;,0.3048006096012192]],VERTCS[&quot;NAVD88 height - Geoid12B (feet)&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192]]</WKT><XOrigin>-17954600</XOrigin><YOrigin>-46918100</YOrigin><XYScale>137255069.87923574</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>103106</WKID><LatestWKID>6527</LatestWKID></ProjectedCoordinateSystem> 32 FALSE None 1 IMAGINE Image TRUE continuous floating point -3.4028235e+038 20190808 14070300 20190808 14070300 Sanborn Map Company, Inc. (866)726-2676 Suite 100 1935 Jamboree Drive Colorado Springs CO 80920 US 20190102 ArcGIS Metadata 1.0 New Jersey 6 County; Hydro-flattened Bare Earth DEM 2019-01-02 The Sanborn Map Company, Inc. raster digital data Product: Bare earth Digital Elevation Model (DEM) data. Geographic Extent: 6 counties, New Jersey, covering approximately 2,358 square miles. Dataset Description: Sussex, Passaic, Warren, Morris, Hunterdon, Somerset county, New Jersey 2018 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane New Jersey, feet and vertical datum of NAVD88 (GEOID12B), feet. Lidar data was delivered as processed Classified LASv1.4 files, formatted to 2,843 individual 5,000 ft x 5,000 ft tiles, as tiled intensity imagery, and as tiled bare-earth DEMs; all tiled to the same 5,000 ft x 5,000 ft schema. Ground Conditions: Lidar was collected in early 2017 and 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, The Sanborn Map Company, Inc. established a total of 30 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 140 independent accuracy check points, 79 in Open Terrain/Bare-Earth and Urban landcovers (79 NVA points), 61 in Grass, Brush and Trees categories (61 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation... Passaic County Morris County Hunderton County Somerset County Warren County New Jersey Sussex County Lidar Remote Sensing Raster Model DEM Elevation Data Lidar Remote Sensing Passaic County Morris County Hunderton County Raster Somerset County Model Warren County DEM Elevation Data New Jersey Sussex County No restrictions apply to these data. 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 its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. -75.2064717766 -74.0891615268 40.337625708 41.3594282505 ground condition 2017-04-15 2019-01-02 Raster File Type = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 2 feet Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 1 -75.213630 -74.087601 41.359596 40.336296 Data covers the AOI specified for this project. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 79 check points located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "brushlands/low trees" and "tall weeds/crops" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 61 check points located in tall weeds/crops and brushlands/low trees (vegetated) areas. The check points were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy 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)/ASRPS Guidelines. Tested 0.503 feet NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 79 independent check points located in the Bare Earth and Urban land cover categories. 0.503 Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 2 foot hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. 2019-01-02 2 2500 2.000000 2500 2.000000 1 0 296225.991252 548191.984503 296225.991252 920205.984503 605329.991252 920205.984503 605329.991252 548191.984503 450777.991252 734198.984503 Raster Dataset dataset EPSG 8.2.10(10.3.1) Layer_1 1803.623047 -69.373001 32 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