<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE metadata SYSTEM "http://thor-f5.er.usgs.gov/ngtoc/metadata/fgdc-std-001-1998.dtd">
<metadata>
 <idinfo>
  <citation>
   <citeinfo>
    <origin>Dewberry</origin>
    <pubdate>20180815</pubdate>
    <title>Texas West Central Block 08 Lidar ; Hydro Flattened Bare Earth DEM</title>
    <geoform>raster digital data</geoform>
   </citeinfo>
  </citation>
  <descript>
   <abstract>Product: These are Digital Elevation Model (DEM) data for Texas West Central Block 08 as part of the required deliverables for the 2018 Texas West Central Block 08 Lidar  project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.
   Geographic Extent: Texas West Central Block 08, covering approximately 2643 square miles. Dataset Description: Texas West Central Block 08 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 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 3071 individual 1500 m x 1500 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema.
   Ground Conditions: Lidar was collected in February and March 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, Dewberry established a total of 11 ground control points that were used to calibrate the lidar to known ground locations established throughout the Texas West Central Block 08 project area. An additional 67 independent accuracy checkpoints, 41 in Bare Earth and Urban landcovers (41 NVA points), 26 in Tall Grass and Brushland/Low Trees categories (26 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.</abstract>
   <purpose>To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary.</purpose>
   <supplinf>
    	Raster File Type = IMG
    	Bit Depth/Pixel Type = 32-bit float
    	Raster Cell Size = 1 Meter
    	Interpolation or Resampling Technique = Triangulated Irregular Network
    	Required Vertical Accuracy = 19.6 cm NVA
   </supplinf>
  </descript>
  <timeperd>
   <timeinfo>
    <rngdates>
     <begdate>20180220</begdate>
     <enddate>20180312</enddate>
    </rngdates>
   </timeinfo>
   <current>ground condition</current>
  </timeperd>
  <status>
   <progress>Complete</progress>
   <update>None planned</update>
  </status>
  <spdom>
   <bounding>
    <westbc>-102.045690</westbc>
    <eastbc>-101.110452</eastbc>
    <northbc>31.775293</northbc>
    <southbc>30.980999</southbc>
   </bounding>
   <lbounding>
    <leftbc>211500</leftbc>
    <rightbc>298500</rightbc>
    <topbc>3431413</topbc>
    <topbc>3517500</topbc>
   </lbounding>
  </spdom>
  <keywords>
   <theme>
    <themekt>None</themekt>
    <themekey>Model</themekey>
    <themekey>Raster</themekey>
    <themekey>DEM</themekey>
    <themekey>Remote Sensing</themekey>
    <themekey>Elevation Data</themekey>
    <themekey>Lidar</themekey>
   </theme>
   <place>
    <placekt>None</placekt>
    <placekey>Texas</placekey>
    <placekey>New Mexico</placekey>
    <placekey>Oklahoma</placekey>
    <placekey>Southeastern New Mexico</placekey>
    <placekey>West Texas</placekey>
    <placekey>Red River region</placekey>
   </place>
  </keywords>
  <accconst>No restrictions apply to these data.</accconst>
  <useconst>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.</useconst>
 </idinfo>
 <dataqual>
  <logic>Data covers the entire area specified for this project.</logic>
  <complete>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.</complete>
  <posacc>
   <vertacc>
    <vertaccr>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 41 checkpoints 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 26 checkpoints located in tall weeds/crops and brushlands/low trees (vegetated) areas. The checkpoints 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.</vertaccr>
    <qvertpa>
    	<vertaccv>0.065</vertaccv>
    	<vertacce>Tested 0.065 meters 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 41 independent checkpoints located in the Bare Earth and Urban land cover categories.</vertacce>
    </qvertpa>
    <qvertpa>
    	<vertaccv>0.088</vertaccv>
    	<vertacce>Tested 0.088 meters VVA was calculated using 26 checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM.</vertacce>
    </qvertpa>
   </vertacc>
  </posacc>
  <lineage>
      <procstep>
        <procdesc>Hydro Flattened Raster DEM Process:  Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter 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.</procdesc>
        <procdate>20180730</procdate>
      </procstep>
  </lineage>
 </dataqual>
 <spdoinfo>
  <direct>Raster</direct>
  <rastinfo>
   <rasttype>Pixel</rasttype>
   <rowcount>1500</rowcount>
   <colcount>1500</colcount>
  </rastinfo>
 </spdoinfo>
 <spref>
  <horizsys>
   <planar>
    <gridsys>
     <gridsysn>Universal Transverse Mercator</gridsysn>
     <utm>
      <utmzone>14</utmzone>
      <transmer>
       <sfctrmer>0.9996</sfctrmer>
       <longcm>-99.000000</longcm>
       <latprjo>0.0</latprjo>
       <feast>500000</feast>
       <fnorth>0.0</fnorth>
      </transmer>
     </utm>
    </gridsys>
    <planci>
     <plance>row and column</plance>
     <coordrep>
      <absres>1</absres>
      <ordres>1</ordres>
     </coordrep>
     <plandu>meters</plandu>
    </planci>
   </planar>
   <geodetic>
    <horizdn>North American Datum of 1983 (2011)</horizdn>
    <ellips>Geodetic Reference System 80</ellips>
    <semiaxis>6378137</semiaxis>
    <denflat>298.257222101</denflat>
   </geodetic>
  </horizsys>
  <vertdef>
   <altsys>
    <altdatum>North American Vertical Datum of 1988</altdatum>
	<altres>0.01</altres>
	<altunits>meters</altunits>
	<altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
	</altsys>
  </vertdef>
 </spref>
 <metainfo>
  <metd>20180815</metd>
  <metc>
   <cntinfo>
    <cntorgp>
     <cntorg>Dewberry</cntorg>
    </cntorgp>
    <cntaddr>
     <addrtype>mailing and physical</addrtype>
     <address>1000 N Ashley Drive, suite 801</address>
     <city>Tampa</city>
     <state>FL</state>
     <postal>33602</postal>
     <country>USA</country>
    </cntaddr>
    <cntvoice>(813)225-1325</cntvoice>
   </cntinfo>
  </metc>
  <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
  <metstdv>FGDC-STD-001-1998</metstdv>
 </metainfo>
</metadata>