<?xml version="1.0" encoding="utf-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Woolpert</origin>
        <pubdate>20150504</pubdate>
        <title>PRELIMINARY Lidar Data Development for 6 of 19 Phase 3 Counties in the Piedmont LAS 1.4</title>
        <geoform>Lidar point cloud</geoform>
      </citeinfo>
    </citation>
    <descript>
      <abstract>TASK NAME: NCEM NC 6 Counties Lidar
lidar Data Acquisition and Processing Production Task
Contract No. 286-000026
Woolpert Order No. 075085
CONTRACTOR: Woolpert, Inc.
This is a preliminary metadata file. This data set is comprised of lidar point cloud data, hydrologic 3-d breaklines, raster intensity, survey control, project tile index, and project data extent which encompasses approximately 3,059 square miles of lidar, for the AOI in the Piedmont Region of North Carolina. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7m. The final products include files containing classified LAS, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, Ground conditions: Woolpert used professional practice in determining any open water meeting the task order size requirement; no unusual inundation; no snow; leaf off.
</abstract>
      <purpose>The purpose of this project is to furnish all facilities, labor, materials, and equipment for photogrammetric mapping services in support of the NCEM Lidar acquisition and associated products for Phase 3 counties.</purpose>
      <lidar>
        <ldrinfo>
          <ldrspec>NC Technical Specification for Lidar Base Mapping</ldrspec>
          <ldrsens>Leica ALS70</ldrsens>
          <ldrmaxnr>4</ldrmaxnr>
          <ldrnps>0.7</ldrnps>
          <ldrdens>2</ldrdens>
          <ldrfltht>1981</ldrfltht>
          <ldrfltsp>135</ldrfltsp>
          <ldrscana>40</ldrscana>
          <ldrscanr>41.0</ldrscanr>
          <ldrpulsr>272.0</ldrpulsr>
          <ldrpulsd>5</ldrpulsd>
          <ldrpulsw>1</ldrpulsw>
          <ldrwavel>1064</ldrwavel>
          <ldrmpia>1</ldrmpia>
          <ldrbmdiv>0.22</ldrbmdiv>
          <ldrswatw>1442</ldrswatw>
          <ldrswato>30</ldrswato>
          <ldrcrs>NAD_1983(2011)_North_Carolina_Stateplane US Survey Feet</ldrcrs>
          <ldrgeoid>GEOID12A</ldrgeoid>
        </ldrinfo>
        <ldraccur>
          <ldrchacc>0000</ldrchacc>
          <rawnva>0000</rawnva>
          <rawnvan>0000</rawnvan>
          <clsnva>0000</clsnva>
          <clsnvan>0000</clsnvan>
          <clsvva>0000</clsvva>
          <clsvvan>0000</clsvvan>
        </ldraccur>
        <lasinfo>
          <lasver>1.4</lasver>
          <lasprf>1</lasprf>
          <laswheld>Geometrically unreliable points were identified using a combination of  automated and manual techniques and subsequently classified as swath overlap and or noise.</laswheld>
          <lasolap>swath overlap points were identified in these files by adding 16 to the standard classication values</lasolap>
          <lasintr>8</lasintr>
          <lasclass>
            <clascode>1</clascode>
            <clasitem>default/unclassified</clasitem>
          </lasclass>
          <lasclass>
            <clascode>2</clascode>
            <clasitem>Ground</clasitem>
          </lasclass>
          <lasclass>
            <clascode>3</clascode>
            <clasitem>Low Veg</clasitem>
          </lasclass>
          <lasclass>
            <clascode>4</clascode>
            <clasitem>Medium Veg</clasitem>
          </lasclass>
          <lasclass>
            <clascode>5</clascode>
            <clasitem>High Veg</clasitem>
          </lasclass>
          <lasclass>
            <clascode>6</clascode>
            <clasitem>Buildings (Automated)</clasitem>
          </lasclass>
          <lasclass>
            <clascode>7</clascode>
            <clasitem>Low Points</clasitem>
          </lasclass>
          <lasclass>
            <clascode>9</clascode>
            <clasitem>Water (Hydro Cleaned Areas)</clasitem>
          </lasclass>
          <lasclass>
            <clascode>10</clascode>
            <clasitem>Breakline Proximity</clasitem>
          </lasclass>
          <lasclass>
            <clascode>11</clascode>
            <clasitem>High Points/Witheld</clasitem>
          </lasclass>
          <lasclass>
            <clascode>13</clascode>
            <clasitem>Roads</clasitem>
          </lasclass>
          <lasclass>
            <clascode>14</clascode>
            <clasitem>Bridges</clasitem>
          </lasclass>
          <lasclass>
            <clascode>17</clascode>
            <clasitem>Overlap/Default</clasitem>
          </lasclass>
          <lasclass>
            <clascode>18</clascode>
            <clasitem>Overlap/Ground</clasitem>
          </lasclass>
          <lasclass>
            <clascode>25</clascode>
            <clasitem>Overlap/Water</clasitem>
          </lasclass>
        </lasinfo>
      </lidar>
    </descript>
    <timeperd>
      <timeinfo>
        <mdattim>
          <sngdate>
            <caldate>20150105</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150108</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150208</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150211</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150212</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150213</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150214</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150306</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150307</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150308</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150318</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150329</caldate>
            <time>unknown</time>
          </sngdate>
          <sngdate>
            <caldate>20150331</caldate>
            <time>unknown</time>
          </sngdate>
        </mdattim>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>As needed</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-80.268439</westbc>
        <eastbc>-78.352763</eastbc>
        <northbc>35.546420</northbc>
        <southbc>34.628388</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>None</themekt>
        <themekey>lidar</themekey>
        <themekey>LAS_1.4</themekey>
      </theme>
      <place>
        <placekt>None</placekt>
        <placekey>United States</placekey>
        <placekey>North Carolina</placekey>
      </place>
    </keywords>
    <accconst>No restrictions apply to this 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>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>Woolpert</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical address</addrtype>
          <address>4454 Idea Center Blvd</address>
          <city>Dayton</city>
          <state>OH</state>
          <postal>45430</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>(937) 461-5660</cntvoice>
        <cntfax>(937) 461-0743</cntfax>
        <hours>8:00 a.m. to 5:00 p.m. Eastern Standard Time</hours>
      </cntinfo>
    </ptcontac>
    <native>Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 14.003; TerraModeler ver. 14.003; Geocue 2012.1.27.5; LP360 2011.1.54.1. Approximate size of entire delivery dataset = TBD</native>
  </idinfo>
  <dataqual>
    <logic>All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.</logic>
    <complete>The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.</complete>
    <posacc>
      <horizpa>
        <horizpar>Compiled to meet 0000 meters horizontal accuracy at 95 percent confidence level.</horizpar>
        <qhorizpa>
          <horizpav>0</horizpav>
          <horizpae>lidar system specifications are available in the project report</horizpae>
        </qhorizpa>
      </horizpa>
      <vertacc>
        <vertaccr>LAS data covering the NCEM NC 6 Counties Lidar 0.7 meter NPS Lidar Task Order was compared to independent survey control points to determine the NVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent NVA points from the following land cover categories: Tall/Short Grass, Brushlands, and Forested. LAS Swath Nonvegetated Vertical Accuracy (NVA) Tested #### meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using #### meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare-Earth DEM Nonvegetated Vertical Accuracy (NVA) Tested #### meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using #### meters (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.</vertaccr>
        <qvertpa>
          <vertaccv>0 meters</vertaccv>
          <vertacce>LAS Swath Nonvegetated Vertical Accuracy(NVA) Tested 0000 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using Nationl Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN.</vertacce>
        </qvertpa>
        <qvertpa>
          <vertaccv>0 meters</vertaccv>
          <vertacce>Bare-Earth DEM Nonvegetated Vertical Accuracy (FVA) Tested 0000 meters fundamental vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM.</vertacce>
        </qvertpa>
        <qvertpa>
          <vertaccv>0 meters</vertaccv>
          <vertacce>Vegetated Vertical Accuracy (VVA) Tested 0000 meters supplemental vertical accuracy at the 95th percentile using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. VVA Errors larger than 95th percentile include:
</vertacce>
        </qvertpa>
      </vertacc>
    </posacc>
    <lineage>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Woolpert</origin>
            <pubdate>20150504</pubdate>
            <title>Lidar acquisition</title>
            <pubinfo>
              <pubplace>Dayton, OH</pubplace>
              <publish>Woolpert Geospatial Services</publish>
            </pubinfo>
          </citeinfo>
        </srccite>
        <typesrc>Lidar dataset</typesrc>
        <srctime>
          <timeinfo>
            <sngdate>
              <caldate>20150105</caldate>
            </sngdate>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>NCEM NC 6 Counties Lidar</srccitea>
        <srccontr>This data set is the project specified acquired point cloud data.</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Woolpert</origin>
            <pubdate>20150504</pubdate>
            <title>Survey Control Acquistion</title>
            <pubinfo>
              <pubplace>Dayton, OH</pubplace>
              <publish>Woolpert Geospatial Services</publish>
            </pubinfo>
          </citeinfo>
        </srccite>
        <typesrc>Control dataset</typesrc>
        <srctime>
          <timeinfo>
            <sngdate>
              <caldate>20150105</caldate>
            </sngdate>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>NCEM NC 6 Counties Lidar Survey Control Acquisition </srccitea>
        <srccontr>This data set is the project specified acquired ground control and QAQC control data.</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Woolpert</origin>
            <pubdate>20150504</pubdate>
            <title>Lidar deliverable processing</title>
            <pubinfo>
              <pubplace>Dayton, OH</pubplace>
              <publish>Woolpert Geospatial Services</publish>
            </pubinfo>
          </citeinfo>
        </srccite>
        <typesrc>Lidar dataset</typesrc>
        <srctime>
          <timeinfo>
            <sngdate>
              <caldate>20150105</caldate>
            </sngdate>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>NCEM NC 6 Counties Lidar Deliverable Processing </srccitea>
        <srccontr>This data set is the project specified lidar deliverables.</srccontr>
      </srcinfo>
      <procstep>
        <procdesc>Using two Leica ALS70 (lidar) systems on board Cessna 404 Titan aircraft, 391 flight lines of high density data, at a nominal pulse spacing (NPS) of 0.7 meters, were collected for this task order (approximately 3,059 square miles for the AOI in the Piedmont Region of North Carolina. AGL = 6,500 feet - Aircraft Speed = 150 Knots, Field of View (Full) = 40 degrees, Pulse Rate = 272.0 kHz, Scan Rate = 41.0 Hz, with an average side lap of 30%. Multiple returns were recorded for each laser pulse along with an intensity value for each return. Sixteen (16) missions were flown between January 05, 2015 and March 31, 2015. Six(6) Global Navigation Satellite System (GNSS) Base Stations/CORS Station were used in support of the lidar data acquisition. Specific information regarding latitude, longitude, and ellipsoid height to the L1 phase center is included in the lidar processing report. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID12A. Data for the task order is referenced to North Carolina State Plane, North American Datum of 1983 (2011), and NAVD88, in US Survey Feet. Once the data acquisition and GPS processing phases are complete, the lidar data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The SBET was used to reduce the lidar slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns.The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of lidar data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw lidar data is reduced using the refined misalignment angles.</procdesc>
        <srcused>NCEM NC 6 Counties Lidar Acquisition </srcused>
        <procdate>20150106</procdate>
        <proctime>1200</proctime>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>Woolpert, Inc.</cntorg>
            </cntorgp>
            <cntpos>Geospatial Services</cntpos>
            <cntaddr>
              <addrtype>mailing and physical address</addrtype>
              <address>4454 Idea Center Blvd.</address>
              <city>Dayton</city>
              <state>OH</state>
              <postal>45430</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>(937) 461-5660</cntvoice>
            <cntfax>(937) 461-0743</cntfax>
            <hours>8:00 a.m. to 5:00 p.m. Eastern Time</hours>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>Ground control and QAQC control point survey was performed by Woolpert surveyors, to supported the NCEM NC 6 Counties Lidar project. All surveys were performed in such a way as to achieve ground control that supports lidar data at 9.25 cm RMSE accuracy and satisfy a local network accuracy of 5 cm at a 95% confidence level. All ground control survey field activities took place from January 15, 2015 to February 19, 2015. Woolpert collected 91 calibration control points as well as 53 supplemental QAQC points. The supplemental QAQC points were collected to be used in independent accuracy testing. Field crews will collect the ground control and QA/QC check points using GPS-based real-time kinematic (RTK) survey techniques. For an RTK survey, the ground crew uses a roving unit to receive radio-relayed corrected positional coordinates for all ground points from a GPS base unit set up over a survey control monument. The roving unit records precise location measurements with an error of ≤ 1.5 cm (0.6 in). Woolpert distribute the RTK ground check points (GCPs) throughout the task order AOI. These points will be located on open, bare earth surfaces with a level slope to enable effective assessment of swath-to-swath reproducibility and absolute accuracy. The techniques for establishing all ground control points will be outlined in the final survey report, including the locations and position residuals of all GCPs used to evaluate the lidar data accuracy.. All horizontal GPS control was based on North Carolina State Plane, NAD83 (2011) expressed in US Survey Feet. The vertical datum used for this project was based on the North American Vertical Datum of 1988 (NAVD88), GEOID12A, also expressed in US Survey Feet.</procdesc>
        <srcused>NCEM NC 6 Counties Lidar Survey Control Acquisition </srcused>
        <procdate>20150116</procdate>
        <proctime>1200</proctime>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>Woolpert, Inc.</cntorg>
            </cntorgp>
            <cntpos>Geospatial Services</cntpos>
            <cntaddr>
              <addrtype>mailing and physical address</addrtype>
              <address>4454 idea Center Blvd.</address>
              <city>Dayton</city>
              <state>OH</state>
              <postal>45430</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>(937) 461-5660</cntvoice>
            <cntfax>(937) 461-0743</cntfax>
            <hours>8:00 a.m. to 5:00 p.m. Eastern Time</hours>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default (Class 1), Ground (Class 2), Low Veg (Class 3), Medium Veg (Class 4), High Veg (Class 5), Buidling (Class 6), Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), High Point/Witheld (Class 11), Roads (Class 13), Bridges (Class 14), Overlap Default (Class 17), Overlap Ground (Class 18) and Overlap Water (Class 25). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap are then further classified to produce overlap default (class 17),overlap ground (class 18) and overlap water. Low Veg (class 3) was determined by classifying any default point within 0.5-3ft of the ground surface to Class 3. Medium Veg (class 4) was determined by classifying any default point within 3.01-10ft of the ground surface to Class 4. High Veg (class 5) was determined by classifying any default point within 10.01-220ft of the ground surface to Class 5.  Buildings (Class 6) were determined by classing groupings of points based on a planar surface from Class 1 to Class 6.  Roads (Class 13) was determined by classifying ground points within digitized road polygons. Bridges were determined through manual classification during the QA/QC process. The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, 5 foot pixel size 8-bit Intensity files in GeoTIFF format, and Hydrologic Breakline data in ESRI shape file format. </procdesc>
        <srcused>NCEM NC 6 Counties Lidar Deliverable Processing </srcused>
        <procdate>20150106	</procdate>
        <proctime>1200</proctime>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>Woolpert, Inc.</cntorg>
            </cntorgp>
            <cntpos>Geospatial Services</cntpos>
            <cntaddr>
              <addrtype>mailing and physical address</addrtype>
              <address>4454 Idea Center Blvd.</address>
              <city>Dayton</city>
              <state>OH</state>
              <postal>45430</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>(937) 461-5660</cntvoice>
            <cntfax>(937) 461-0743</cntfax>
            <hours>8:00 a.m. to 5:00 p.m. Eastern Time</hours>
          </cntinfo>
        </proccont>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Point</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>NAD 1983 (2011) StatePlane North Carolina US Survey Feet</mapprojn>
          <lambertc>
            <stdparll>34.33333333333334</stdparll>
            <stdparll>36.16666666666666</stdparll>
            <longcm>-79.0</longcm>
            <latprjo>33.75</latprjo>
            <feast>2000000.0</feast>
            <fnorth>0.0</fnorth>
          </lambertc>
        </mapproj>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>2.29</absres>
            <ordres>2.29</ordres>
          </coordrep>
          <plandu>US Survey Feet</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>North American Datum 1983</horizdn>
        <ellips>Geodetic Reference System 80</ellips>
        <semiaxis>6378249.1449999996</semiaxis>
        <denflat>293.46499999999997</denflat>
      </geodetic>
    </horizsys>
    <vertdef>
      <altsys>
        <altdatum>North American Vertical Datum of 1988 (GEOID12A)</altdatum>
        <altres>0.000100</altres>
        <altunits>US Survey Feet</altunits>
        <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
      </altsys>
    </vertdef>
  </spref>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>USGS/NGTOC</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical address</addrtype>
          <address>1400 Independence Rd.</address>
          <city>Rolla</city>
          <state>MO</state>
          <postal>65401</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>(573) 308-3756</cntvoice>
        <cntfax>Unknown</cntfax>
        <hours>8:00 a.m. to 5:00 p.m. Central Time</hours>
      </cntinfo>
    </distrib>
    <resdesc>Downloadable Data</resdesc>
    <distliab>Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert, Inc. makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user’s sole risk.</distliab>
    <availabl>
      <timeinfo>
        <sngdate>
          <caldate>unknown</caldate>
          <time>unknown</time>
        </sngdate>
      </timeinfo>
    </availabl>
  </distinfo>
  <metainfo>
    <metd>20150504</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>North Carolina Emergency Management (NCEM)</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical address</addrtype>
          <address>4105 Reedy Creek Road</address>
          <city>Raleigh</city>
          <state>NC</state>
          <postal>27607</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>(919) 825-2336</cntvoice>
        <cntfax>Unknown</cntfax>
        <hours>Unknown</hours>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
    <mettc>local time</mettc>
    <metsi>
      <metscs>Unclassified</metscs>
      <metsc>Unclassified</metsc>
      <metshd>Unclassified</metshd>
    </metsi>
  </metainfo>
</metadata>