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                  <gco:CharacterString>NOAA provided QSI 2 sets of ground survey points in order to evaluate accuracy. Absolute accuracy was assessed using Non-Vegetated Vertical Accuracy (NVA) survey methods. NVA compares known ground check point data that were withheld from the calibration and post-processing of the LiDAR point cloud to the triangulated surface generated by the LiDAR points that were calibrated and post-processed. NVA is a measure of the accuracy of LiDAR point data in open areas with level slope (less than 20 degrees) where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*RMSE). In the NOAA Miami Florida Intracoastal Topobathy LiDAR Processing area, one file provided (FL1703_ICW01_gcp_tscan) contained 136 survey checkpoints that were used to assess the non-vegetated vertical accuracy. An additional file (FL1703_ICW01_pro_tscan) contained 704 survey checkpoints that were also used to assess vertical accuracy.  Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_NonQuantitativeAttributeAccuracy>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_AbsoluteExternalPositionalAccuracy>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Horizontal Positional Accuracy</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>Not tested</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_AbsoluteExternalPositionalAccuracy>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Vertical Positional Accuracy</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>Using NSSDA and FEMA methodology, the non-vegetated vertical accuracy (NVA) at the 95% confidence level (called Accuracyz) was computed by the formula RMSEz x 1.9600. The South Carolina Miami Intracoastal dataset tested 0.097 m vertical accuracy at 95% confidence level in open terrain using 136 ground check points provided in the FL1703_ICW01_gcp_tscan.txt file provided by NOAA, based on RMSEz (0.050 m) x 1.9600.

Using NSSDA and FEMA methodology, the non-vegetated vertical accuracy (NVA) at the 95% confidence level (called Accuracyz) was computed by the formula RMSEz x 1.9600. The South Carolina Miami Intracoastal dataset tested 0.095 m vertical accuracy at 95% confidence level in open terrain using 704 ground check points provided in the FL1703_ICW01_pro_tscan.txt file provided by NOAA, based on RMSEz (0.049 m) x 1.9600.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
         </gmd:report>
         <gmd:lineage>
            <gmd:LI_Lineage>
               <gmd:statement gco:nilReason="missing"/>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>Data for the NOAA Miami Florida Intracoastal Topobathy LiDAR Processing project data was acquired by the National Oceanic and Atmospheric Administration (NOAA) using a Riegl VQ-880G Topobathy LiDAR system. All delivered LiDAR data is referenced to: 
Horizontal Datum-NAD83 (2011) epoch: 2010
Projection-UTM Zone 17N
Horizontal Units-meters
Vertical Datum- NAVD88 (Geoid12b)
Vertical Units-meters  

This Miami Intracoastal dataset encompasses 1064 500m x 500m tiles in eastern Miami, Florida. Green and NIR (for water surface model creation that is used during refraction of the green bathymetric data) LiDAR data were acquired with the Riegl sensor VQ-880G.

QSI ran and automated grounding and performed manual editing to review all classification and improve the final topobathy surface. QSI's LasMonkey was used to update LAS header information, including all projection and coordinate reference system information. The final LiDAR data are in LAS format 1.2 and point data record format 3.

The classification scheme is as follows:
1-Unclassified
2-Ground 
7-Noise
19-Overlap Default
20-Overlap Ground
21-Overlap Water Column
25-Water Column 
26-Bathymetric Bottom or Submerged Topography
29-Submerged feature
31-Temporal Bathymetric Bottom</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2018-08-20T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                     <gmd:processor>
                        <gmd:CI_ResponsibleParty>
                           <gmd:organisationName>
                              <gco:CharacterString>NGS Communications and Outreach Branch</gco:CharacterString>
                           </gmd:organisationName>
                           <gmd:contactInfo>
                              <gmd:CI_Contact>
                                 <gmd:phone>
                                    <gmd:CI_Telephone>
                                       <gmd:voice>
                                          <gco:CharacterString>(301) 713-3242</gco:CharacterString>
                                       </gmd:voice>
                                    </gmd:CI_Telephone>
                                 </gmd:phone>
                                 <gmd:address>
                                    <gmd:CI_Address>
                                       <gmd:electronicMailAddress>
                                          <gco:CharacterString>ngs.infocenter@noaa.gov</gco:CharacterString>
                                       </gmd:electronicMailAddress>
                                    </gmd:CI_Address>
                                 </gmd:address>
                              </gmd:CI_Contact>
                           </gmd:contactInfo>
                           <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:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>QSI transformed the ellipsoid heights of the final LiDAR data into orthometric heights referenced to NAVD88 using Geoid 12B to create the DEMs. The topobathymetric DEM was output at 1 meter resolution in IMG format into 5000 m x 5000 m tiles. The Miami Intracoastal raster is clipped to the extent of the tile grid and named according to project specifications.  

Void DEM dataset- A void shapefile was created to indicate areas where there was a lack of bathymetric returns.  This shape was created by triangulating bathymetric bottom points with an edge length maximum of 4.56m to identify all areas greater then 9 square meters without bathymetric returns.  This shapefile was used to exclude interpolated elevation data from these areas.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2018-08-20T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:source>
                  <gmd:LI_Source>
                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>Lidar</gco:CharacterString>
                           </gmd:title>
                           <gmd:date gco:nilReason="missing"/>
                        </gmd:CI_Citation>
                     </gmd:sourceCitation>
                  </gmd:LI_Source>
               </gmd:source>
            </gmd:LI_Lineage>
         </gmd:lineage>
      </gmd:DQ_DataQuality>
   </gmd:dataQualityInfo>
</gmi:MI_Metadata>
