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                                 <gmd:description>
                                    <gco:CharacterString>The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.</gco:CharacterString>
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            <gco:CharacterString>These lidar data are processed Classified LAS 1.4 files, for the north and south AOIs for the 2016 Mississippi QL2 Lidar project. The area covers fifteen whole and partial counties in north eastern and south central Mississippi, covering approximately 3825 total square miles in the project area.

North AOI (Northeast MS):
2949 individual 1500 m x 1500 m tiles
Northern AOI counties: Alcorn, Benton, Itawamba, Lee, Lowendes, Marshall, Monroe, Prentiss, Tippah, Tishomingo, and Union, covering approximately 2318 square miles of the 3825 total square mile project area. 
The data for counties in the northern AOI were developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 16, meters and vertical datum of NAVD1988 (Geoid 12B), meters. 
In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. established a total of 59 ground control points that were used to calibrate the lidar to known ground locations established throughout the Mississippi project area. One point was removed due to drastic change in the area. An additional 96 independent accuracy checkpoints, 56 in Bare Earth and Urban landcovers (56 NVA points), 40 in Forested, Shrubs, and Tall Weeds categories (40 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
Vertical Accuracy = 4.9 cm RMSE

South AOI (Camp Shelby): 
1791 individual 5,000-foot x 5,000-foot tiles
Southern AOI counties: Forrest, Greene, Lamar, and Perry, covering approximately 1507 square miles of the 3825 total square mile project area.
The data for counties in the southern AOI were developed based on a horizontal projection/datum of NAD83 (2011) State Plane Mississippi East Zone, US survey feet and vertical datum of NAVD1988 (Geoid 12B), US survey feet.
In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. established a total of 38 ground control points that were used to calibrate the lidar to known ground locations established throughout the Mississippi project area. An additional 78 independent accuracy checkpoints, 43 in Bare Earth and Urban landcovers (43 NVA points), 35 in Forested, Shrubs, and Tall Weeds categories (35 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. One point was removed from the NVA calculations due to drastic change in the area.
Vertical Accuray = 4.6 cm RMSE

Dataset Description: The Mississippi 2016 Aerial LiDAR Mapping project called for the planning, acquisition, processing and derivative products of LIDAR data to be collected at an aggregate nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. LiDAR data was delivered in RAW flight line swath format. Corresponding 2.5-foot intensity images in GeoTIFF format and 2.5-foot bare-earth DEM files in ERDAS .IMG format were created with the same tile schema. Tiles names follow the US National Grid naming schema. Hydro-flattened breaklines were produced in Esri file geodatabase format. Continuous contours with a 1-foot interval were produced in Esri file geodatabase format. 

Ground Conditions: Lidar was collected in winter of 2016, while no snow was on the ground and rivers were at or below normal levels

The NOAA Office for Coastal Management (OCM) received the data for processing to the Data Access Viewer (DAV) and https. In addition to the lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available from the DAV. These data are available for custom download at the link provided in the URL section of this metadata record. Hydro breaklines are also available. These data are also available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.</gco:CharacterString>
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            <gco:CharacterString>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 DEMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2.5 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs, and contours as necessary.</gco:CharacterString>
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         <gmd:credit>
            <gco:CharacterString>Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.</gco:CharacterString>
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   The following are the USGS lidar fields in JSON:
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    "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit",

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    "clascode" : "7",

    "clasitem" : "Low noise"
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    "clasitem" : "Water"
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    "clascode" : "10",

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    "clasitem" : "Bridge Decks"
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    "clascode" : "18",

    "clasitem" : "High noise"
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                     </gmd:protocol>
                     <gmd:name>
                        <gco:CharacterString>Bulk Download</gco:CharacterString>
                     </gmd:name>
                     <gmd:description>
                        <gco:CharacterString>Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document.</gco:CharacterString>
                     </gmd:description>
                     <gmd:function>
                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode"
                                                   codeListValue="download">download</gmd:CI_OnLineFunctionCode>
                     </gmd:function>
                  </gmd:CI_OnlineResource>
               </gmd:onLine>
            </gmd:MD_DigitalTransferOptions>
         </gmd:transferOptions>
      </gmd:MD_Distribution>
   </gmd:distributionInfo>
   <gmd:dataQualityInfo>
      <gmd:DQ_DataQuality>
         <gmd:scope>
            <gmd:DQ_Scope>
               <gmd:level>
                  <gmd:MD_ScopeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ScopeCode"
                                    codeListValue="dataset">dataset</gmd:MD_ScopeCode>
               </gmd:level>
            </gmd:DQ_Scope>
         </gmd:scope>
         <gmd:report>
            <gmd:DQ_AbsoluteExternalPositionalAccuracy>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Vertical Positional Accuracy</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) 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. The NVA was tested with 56 checkpoints in the North AOI and 42 checkpoints in the South AOI, all located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques.

Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. 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.

Northern AOI NVA is 4.9 cm RMSE; VVA is 15.4 cm RMSE
Southern AOI NVA is 4.6 cm RMSE; VVA is 9.5 cm RMSE</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_CompletenessCommission>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Completeness Report</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>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.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_CompletenessCommission>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_ConceptualConsistency>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Conceptual Consistency</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>Data covers the entire area specified for this project.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_ConceptualConsistency>
         </gmd:report>
         <gmd:lineage>
            <gmd:LI_Lineage>
               <gmd:statement gco:nilReason="missing"/>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS 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 us 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. Quantum Spatial, Inc. proprietary software 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.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2016-01-01T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The NOAA Office for Coastal Management (OCM) received the las files from MS State University. The files contained elevation and intensity measurements for the Tishomingo project area in Mississippi. There were 2 AOIs in the project, a northern AOI and a southern AOI. The data in the northern AOI were in UTM Zone 16 North coordinates and NAVD88 (Geoid12B) elevations in meters.  One file in the northern AOI was found to be corrupt and a valid replacement file was downloaded from the USGS rockyftp site (ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MS_Tishomingo_North_2016_LAS_2017/laz/). The data in the southern AOI were in MS State Plane East, US Survey Feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17- Bridge Deck, 18 - High Noise. The NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. Laszip was run to convert the las formatted files to laz format.
2. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.
3. An internal OCM script was run to check the number of points by classification and by flight ID and the gps time and intensity ranges.
4. Internal OCM scripts were run on the laz files to convert from NAVD88 elevations to ellipsoid elevations using the Geoid 12B model, to convert from UTM Zone 16 coordinates (Northern AOI data) and MS State Plane East coordinates (Southern AOI data) to geographic coordinates, to convert from elevations in ft (Southern AOI data) to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2018-07-12T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                     <gmd:processor>
                        <gmd:CI_ResponsibleParty>
                           <gmd:organisationName>
                              <gmx:Anchor xlink:title="https://ror.org/05v14bq57">Office for Coastal Management</gmx:Anchor>
                           </gmd:organisationName>
                           <gmd:role>
                              <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#gmd:CI_RoleCode"
                                               codeListValue="processor">processor</gmd:CI_RoleCode>
                           </gmd:role>
                        </gmd:CI_ResponsibleParty>
                     </gmd:processor>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
            </gmd:LI_Lineage>
         </gmd:lineage>
      </gmd:DQ_DataQuality>
   </gmd:dataQualityInfo>
</gmi:MI_Metadata>
