<?xml version="1.0" encoding="utf-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Woolpert</origin>
        <pubdate>20170930</pubdate>
        <title>OH Chippewa Watershed Lidar 2017 B17; Lidar Classified Point Cloud</title>
        <geoform>Lidar point cloud</geoform>
      </citeinfo>
    </citation>
    <descript>
      <abstract>Product: These lidar data are processed Classified LAS 1.4 files, formatted to 967 individual 2,500 ft x 2,500 ft tiles in NAD83(2011) StatePlane Ohio North FIPS3401, NAVD88 Geoid12B Survey Feet; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.  
 Geographic Extent: This task order requires lidar data to be acquired over 188 square miles of northeast Ohio collected at a nominal pulse spacing (NPS) of 0.7 meters. Dataset Description: OH Chippewa Watershed Lidar 2017 B17 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.70 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) StatePlane Ohio North FIPS (3401), US Feet and vertical datum of NAVD88 (Geoid12B) US Feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 967 individual 2,500 ft x 2,500 ft tiles in NAD83(2011) StatePlane Ohio North FIPS3401, NAVD88 (Geoid12B) US Feet, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2,500 ft x 2,500 ft schema. 
   Ground Conditions: Lidar was collected in spring of 2017 by Woolpert, 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, Woolpert established 8 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (25 NVA points and 8 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.</abstract>
      <purpose>Muskingum Watershed Conservancy District (MWCD) has a goal to develop and/or update certain geospatial datasets for use by county/state agencies and the general public, and to provide these datasets for inclusion within OGRIP. The lidar collected for the OH Chippewa Watershed Lidar 2017 B17 Task Order, will be used as a base map for a separate contract with MWCD to assist with orthorectification, impervious surface delineation, and watershed delineation.</purpose>
      <supplinf>USGS Contract No. G16PC00022  Reference No.: G17PD00344  CONTRACTOR: Woolpert Inc.</supplinf>
      <lidar>
        <ldrinfo>
          <ldrspec>USGS NGP Base Specifications v1.2</ldrspec>
          <ldrsens>Leica ALS80</ldrsens>
          <ldrmaxnr>infinite/4</ldrmaxnr>
          <ldrnps>0.70</ldrnps>
          <ldrdens>2.3</ldrdens>
          <ldranps>0.70</ldranps>
          <ldradens>2.3</ldradens>
          <ldrfltht>2377</ldrfltht>
          <ldrfltsp>150</ldrfltsp>
          <ldrscana>40</ldrscana>
          <ldrscanr>35.5</ldrscanr>
          <ldrpulsr>346</ldrpulsr>
          <ldrpulsd>5</ldrpulsd>
          <ldrpulsw>2.5</ldrpulsw>
          <ldrwavel>1064</ldrwavel>
          <ldrmpia>1</ldrmpia>
          <ldrbmdiv>0.20</ldrbmdiv>
          <ldrswatw>1442</ldrswatw>
          <ldrswato>26.4</ldrswato>
          <ldrcrs>NAD83(HARN) StatePlane Ohio North Foot_US</ldrcrs>
          <ldrgeoid>GEOID12B</ldrgeoid>
        </ldrinfo>
        <ldraccur>
          <ldrchacc>0.429</ldrchacc>
          <rawnva>0.059</rawnva>
          <rawnvan>25</rawnvan>
          <clsnva>0.058</clsnva>
          <clsvva>25</clsvva>
          <clsvvan>8</clsvvan>
        </ldraccur>
        <lasinfo>
          <lasver>1.4</lasver>
          <lasprf>6</lasprf>
          <laswheld>Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.</laswheld>
          <lasolap>Swath "overage" points were identified in these files using the standard LAS overlap bit.</lasolap>
          <lasintr>16</lasintr>
          <lasclass>
            <clascode>1</clascode>
            <clasitem>Processed but not classified</clasitem>
          </lasclass>
          <lasclass>
            <clascode>2</clascode>
            <clasitem>Bare-earth</clasitem>
          </lasclass>
          <lasclass>
            <clascode>7</clascode>
            <clasitem>Low noise</clasitem>
          </lasclass>
          <lasclass>
            <clascode>9</clascode>
            <clasitem>Water</clasitem>
          </lasclass>
          <lasclass>
            <clascode>10</clascode>
            <clasitem>Ignored ground</clasitem>
          </lasclass>
          <lasclass>
            <clascode>17</clascode>
            <clasitem>Bridge Decks </clasitem>
          </lasclass>
          <lasclass>
            <clascode>18</clascode>
            <clasitem>High Noise</clasitem>
          </lasclass>
        </lasinfo>
      </lidar>
    </descript>
    <timeperd>
      <timeinfo>
        <sngdate>
          <caldate>20170323</caldate>
          <time>unknown</time>
        </sngdate>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>As needed</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-81.995225</westbc>
        <eastbc>-81.633654</eastbc>
        <northbc>41.140513</northbc>
        <southbc>40.813840</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>None</themekt>
        <themekey>Lidar</themekey>
        <themekey>Project Level</themekey>
      </theme>
      <place>
        <placekt>None</placekt>
        <placekey>United States</placekey>
        <placekey>Ohio</placekey>
        <placekey>Medina</placekey>
        <placekey>Wayne</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>
  </idinfo>
  <dataqual>
    <logic>Data covers the entire area specified for this project.</logic>
    <complete>These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.</complete>
    <posacc>
      <horizpa>
        <horizpar>Produced to meet 0.429 meters horizontal accuracy at 95 percent confidence level.</horizpar>
        <qhorizpa>
          <horizpav>0.429 meters</horizpav>
          <horizpae>Lidar system specifications are available in the project report</horizpae>
        </qhorizpa>
      </horizpa>
      <vertacc>
        <vertaccr>LAS data covering the MWCD Chippewa SubBasin 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 VVA points. LAS Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.058 meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.030 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 Non-Vegetated Vertical Accuracy (NVA) Tested 0.062 Meters Non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.032 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>0.059 Meters</vertaccv>
          <vertacce>Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.059 meters Non vegetated 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 against 25 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all points.</vertacce>
        </qvertpa>
        <qvertpa>
          <vertaccv>0.062 Meters</vertaccv>
          <vertacce>Bare-Earth DEM Non-Vegetated Vertical Accuracy (NVA) Tested 0.062 Meters Non-Vegetated 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 against 25 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM.</vertacce>
        </qvertpa>
        <qvertpa>
          <vertaccv>0.236 Meters</vertaccv>
          <vertacce>Vegetated Vertical Accuracy (VVA) Tested 0.236 meters at the 95th percentile reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM using 8 VVA points. VVA Errors larger than 95th percentile include:
Point 3007, Easting 2175867.960, Northing 429848.320, Z-Error 0.244 meters
</vertacce>
        </qvertpa>
      </vertacc>
    </posacc>
    <lineage>
      <procstep>
        <procdesc>LAS Point Classification: The point classification is performed as described below. 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 Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). 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. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 2.3 feet was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored ground (Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Woolpert Inc. proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.</procdesc>
        <procdate>20170323</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Point</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <gridsys>
          <gridsysn>State Plane Coordinate System 1983</gridsysn>
          <spcs>
            <spcszone>3401 Ohio</spcszone>
            <lambertc>
              <stdparll>40.4333333333</stdparll>
              <stdparll>41.7</stdparll>
              <longcm>-82.5</longcm>
              <latprjo>39.6666666667</latprjo>
              <feast>1968500.0</feast>
              <fnorth>0.0</fnorth>
            </lambertc>
          </spcs>
        </gridsys>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>0.01</absres>
            <ordres>0.01</ordres>
          </coordrep>
          <plandu>US Feet</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>D_North_American_1983_HARN</horizdn>
        <ellips>GRS_1980</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257222101</denflat>
      </geodetic>
    </horizsys>
    <vertdef>
      <altsys>
        <altdatum>North American Vertical Datum of 1988(GEOID12B)</altdatum>
        <altres>0.01</altres>
        <altunits>US 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) 308-3587</cntvoice>
        <cntfax>Unknown</cntfax>
        <hours>Unknown</hours>
      </cntinfo>
    </distrib>
    <distliab>The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and within the limitations of the data for which it was requested and prepared, in general, and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data. It is not appropriate to use the related graphics as data. Woolpert gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from a Woolpert server, and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully upon Woolpert’s computer system, no warranty, expressed or implied, is made regarding the utility of the data on another system, or for general or scientific purposes; nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.</distliab>
  </distinfo>
  <metainfo>
    <metd>20170930</metd>
    <metc>
      <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 Time</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>