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            <gco:CharacterString>Product: 3-foot bare-earth raster digital elevation model (DEM) data tiles in 32-bit floating point ERDAS IMG format. 

Geographic Extent: Approximately 10,547 square miles across 6 AOIs in California.

Dataset Description: The CA-AZ FEMA R9 Lidar  lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane California I &amp; IV (FIPS Zone 0401 &amp; 0404), US Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,516 individual 4,500-feet x 4,500-feet tiles.

Ground Conditions: Lidar was collected in 2018 while no snow was on the ground and rivers were at or below normal levels. Due to a time difference of approximately one month between adjacent flight lines, there are two instances, a reservoir and a river bed, that show elevation drop-offs. Initial acquisition occurred when these features were dry, with the features containing water at the time of the follow-up flights. The feature portions that contain water were digitized, hydro-flattened, and incorporated into the DEM. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 148 ground control points across all California AOIs that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 258 independent accuracy checkpoints (145 NVA points and 113 VVA points), were collected across all California AOIs and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.</gco:CharacterString>
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FEMA, in administration of the National Flood Insurance Program and under FEMAs Risk Mapping Assessment and Planning (Risk MAP) program, orders these elevation products to meet or exceed the quality specifications published by the US Geological Survey for acceptance into the 3-D Elevation Program (3-DEP). Data of this quality is interpreted as sufficient for floodplain engineering studies, analysis, and mapping of flood hazard.</gco:CharacterString>
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               <gmd:nameOfMeasure>
                  <gco:CharacterString>Vertical Positional Accuracy</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

The following Vertical Accuracy information is from the USGS analysis for the DEM product.

The number of Checkpoints tested for NVA : 237
The NVA RMSEz= 5.38 cm
The NVA Accuracy z at 95% confidence interval (RMSEz * 1.96) = 10.54 cm

The number of checkpoints tested for VVA : 164
The 95th percentile value for VVA is : 21.29 cm</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>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 DEM is of good quality and data passes Non-Vegetated and 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:CharacterString>The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.</gco:CharacterString>
               </gmd:statement>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>Lidar Point Cloud Classification: 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 Processed, but Unclassified (Class 1), Bare Earth 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 1.14 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 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.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2019-03-14T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>Hydro-Flattened Digital Elevation Models (DEMs): Class 2 (ground) lidar points in conjunction with the hydro breaklines as well bridge breaklines were used to create a 3-foot hydro-flattened bare-earth raster DEM. Using automated scripting routines within ArcMap, an 32-bit floating point raster ERDAS 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. The feature portions containing water were hydro-flattened and incorporated into the DEM.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2019-03-14T00:00:00</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) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS).

These are the GeoTIFF files that are being accessed:
https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z1_2018/TIFF/
https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z4_B1_2018/TIFF/
https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z4_B2_2018/TIFF/</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2025-02-04T00:00:00</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>
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                        </gmd:CI_ResponsibleParty>
                     </gmd:processor>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:source>
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                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>USGS GeoTIFF Files - CA_FEMA_Z1_2018</gco:CharacterString>
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                                    <gco:CharacterString>USGS</gco:CharacterString>
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                                    <gmd:CI_Contact>
                                       <gmd:onlineResource>
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                                             <gmd:linkage>
                                                <gmd:URL>https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z1_2018/TIFF/</gmd:URL>
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                                             <gmd:protocol>
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                                             </gmd:protocol>
                                             <gmd:name>
                                                <gco:CharacterString>USGS GeoTIFF Files for CA_FEMA_Z1_2018</gco:CharacterString>
                                             </gmd:name>
                                             <gmd:description>
                                                <gco:CharacterString>Source Citation URL</gco:CharacterString>
                                             </gmd:description>
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                           </gmd:citedResponsibleParty>
                        </gmd:CI_Citation>
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                  </gmd:LI_Source>
               </gmd:source>
               <gmd:source>
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                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
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                                    <gmd:CI_Contact>
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                                                <gmd:URL>https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z4_B1_2018/TIFF/</gmd:URL>
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                  </gmd:LI_Source>
               </gmd:source>
               <gmd:source>
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                                 <gmd:contactInfo>
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                                                <gmd:URL>https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/CA_FEMA_Z4_B2_2018/TIFF/</gmd:URL>
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                                                <gco:CharacterString>WWW:LINK-1.0-http--link</gco:CharacterString>
                                             </gmd:protocol>
                                             <gmd:name>
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                                             <gmd:description>
                                                <gco:CharacterString>Source Citation URL</gco:CharacterString>
                                             </gmd:description>
                                             <gmd:function>
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                                    </gmd:CI_Contact>
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                                 <gmd:role>
                                    <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#gmd:CI_RoleCode"
                                                     codeListValue="publisher">publisher</gmd:CI_RoleCode>
                                 </gmd:role>
                              </gmd:CI_ResponsibleParty>
                           </gmd:citedResponsibleParty>
                        </gmd:CI_Citation>
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                  </gmd:LI_Source>
               </gmd:source>
            </gmd:LI_Lineage>
         </gmd:lineage>
      </gmd:DQ_DataQuality>
   </gmd:dataQualityInfo>
</gmi:MI_Metadata>
