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                  <gco:CharacterString>2009-2012 Indiana Statewide Imagery and LiDAR Program: Maumee River Basin Counties</gco:CharacterString>
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                        <gco:Date>2013-09-04</gco:Date>
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            <gco:CharacterString>The counties comprised in this dataset have been chosen based on the relation to the Maumee River basin, a portion of
the Lake Erie basin and correlated with the northwestern counties in Ohio which form composite continuous lidar data
for the Lake Erie basin and the Great Lakes basin system.

The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications:

This project is comprised of Wells and Adams counties collected in 2012, as part of Area 2;
Noble, DeKalb and Steuben counties collected in 2010; Allen county collected in 2009.

Original contact information: 
   Contact Org: Indiana Office of Information Technology
   Title: State of Indiana GIS Officer
   Phone: (317) 234-5889
This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section.
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the IndianaMap.  The IndianaMap is a resource for geographic information technology users inside Indiana and beyond.
The IndianaMap is an initiative of the Indiana Geographic Information Council, Inc. (IGIC), Indiana's statewide GIS
coordination council.  Data from this project forms the foundation of the base map, and were developed primarily to
support multi-use applications, including homeland security, emergency management, economic development, and the
business of government. Funds for the statewide orthophotography program come from state agencies, local governments,
and grants.</gco:CharacterString>
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               <gmd:otherConstraints>
                  <gco:CharacterString>
            This data set was compiled dynamically. It will be removed 10 days after 2025-04-14 from the NOAA system.
                Cite As: OCM Partners, [Date of Access]: 2009-2012 Indiana Statewide Imagery and LiDAR Program: Maumee River Basin Counties [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49761.</gco:CharacterString>
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of its limitations.  Ownership of the data products resides with the State of Indiana. All Orthophotography, LiDAR and ancillary data
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               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>The data collected under this Task Order meets the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards. The NSSDA standards specify that vertical accuracy be reported at the 95 percent confidence level for data tested by an independent source of higher accuracy. (http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html).; Quantitative Value: 0.30 meters, Test that produced the value: 30cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 15 cm in the open terrain land cover category (Note USGS V1.2 Specification). The data collected shall meet the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_CompletenessCommission>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Completeness Measure</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>Cloud Cover: 0</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_CompletenessCommission>
         </gmd:report>
         <gmd:report>
            <gmd:DQ_CompletenessCommission>
               <gmd:nameOfMeasure>
                  <gco:CharacterString>Completeness Report</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>The LiDAR data is visually inspected by Woolpert, Inc. for completeness to ensure that are no gaps between flight lines.</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>All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery.</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>Block 7(partial) and 8 - Using an Optech Gemini LiDAR system, 152 flight lines of high density
data, at a nominal pulse spacing (NPS) of 1.5 meter (1.0 meters for Floyd and Dearborn Counties)and Blocks 5, 6, and
7(partial) -  Using  Leica ALS LiDAR  systems, 219  flight lines of high density data were collected, at a nominal
pulse spacing (NPS) of 1.5 meter. Multiple returns were recorded for each laser pulse along with an intensity value
for each return. A total of thirty (30) missions were flown January 31, 2012  December 13, 2012. Eleven (11) airborne
global positioning system (GPS) base stations  were used in support of the LiDAR data acquisition. 248 ground
control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to
orthometric heights was Geoid09. The horizontal datum used for this survey is North American Datum 1983 (NSRS2007),
Indiana State Plane Coordinate System, East Zone, and expressed in US Survey Feet. The vertical datum used for this
survey is North American Vertical Datum 1988 (NAVD88), and expressed in US Survey Feet. Airborne GPS data was
differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of
trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for
each flight line. System Parameters: - Type of Scanner = Optech Gemini - Data Acquisition Height = 7,380-feet AGL
- Scanner Field of View = 20 degrees - Scan Frequency = 32 Hertz - Pulse Repetition Rate - 100.0 Kilohertz -
Aircraft Speed = 150 Knots - Swath Width = 5374 feet - Number of Returns Per Pulse = Maximum of 4 - Distance
Between Flight Lines = Varies. System Parameters: - Type of Scanner =  Leica ALS50-II / ALS60 / ALS70 - Data
Acquisition Height = 7800 feet AGL  - Scanner Field of View = 40 degrees - Scan Frequency = Varies - Pulse
Repetition Rate - 99 Kilohertz - Aircraft Speed = Varies - Swath Width = 5678 feet - Number of Returns Per
Pulse = Maximum of 4 - Distance Between Flight Lines = Varies.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2012-04-30T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The Optech Gemini and Leica systems' LiDAR system calibration and 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.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2011-01-01T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>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.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2012-03-02T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>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 bare-earth points (Class 2), noise (Class 7), water (Class 9) ignored ground
(Class 10), unclassified data (Class 1), overlap points (Class 12), and bridges (Class 13). The bare-earth
(Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed
from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and
statistical analysis of the LiDAR dataset.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2012-04-03T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>Breaklines defining lakes, greater than two acres, and double-line streams, wider than
100 feet (30.5 meters), were compiled using digital photogrammetric techniques as part of the hydrographic
flattening process and provided as ESRI Polyline Z and Polygon Z shape files. Breaklines defining water
bodies and streams were compiled for this task order. The breaklines were used to perform the hydrologic
flattening of water bodies, and gradient hydrologic flattening of double line streams. Lakes, reservoirs
and ponds, at a nominal minimum size of two (2) acres or greater, were compiled as closed polygons. The
closed water bodies were collected at a constant elevation. Rivers and streams, at a nominal minimum width
of 100 feet (30.5 meters), were compiled in the direction of flow with both sides of the stream maintaining
an equal gradient elevation. The hydrologic flattening of the LiDAR data was performed for inclusion in the
National Elevation Dataset (NED).</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2012-04-30T00:00:00</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 files in las format. The files contained Lidar elevation and intensity measurements.
The data were in Indiana State Plane projection east (1301) in feet and NAVD88 Geoid 09 vertical datum. OCM performed the following processing to the
data to make it available within the Digital Coast:
1. The data were converted from State Plane coordinates to geographic coordinates.
2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.
3. The high and low error outlier elevations were removed and variable length records (vlr) were removed.
4. The LAS data were sorted by latitude and the headers were updated.
5. Originally classed points as bridges (classification 13) were moved to ASPRS class 17 (bridge deck)</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2013-09-04T00:00:00</gco:DateTime>
                     </gmd:dateTime>
                  </gmd:LI_ProcessStep>
               </gmd:processStep>
               <gmd:source>
                  <gmd:LI_Source>
                     <gmd:description>
                        <gco:CharacterString>Source Contribution: The LiDAR data collected for this task order. | Source Geospatial Form: vector digital data | Type of Source Media: disc</gco:CharacterString>
                     </gmd:description>
                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>Indiana Statewide Imagery and LiDAR Program</gco:CharacterString>
                           </gmd:title>
                           <gmd:date>
                              <gmd:CI_Date>
                                 <gmd:date>
                                    <gco:Date>2012-01-31</gco:Date>
                                 </gmd:date>
                                 <gmd:dateType>
                                    <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication">publication</gmd:CI_DateTypeCode>
                                 </gmd:dateType>
                              </gmd:CI_Date>
                           </gmd:date>
                        </gmd:CI_Citation>
                     </gmd:sourceCitation>
                     <gmd:sourceExtent>
                        <gmd:EX_Extent>
                           <gmd:temporalElement>
                              <gmd:EX_TemporalExtent>
                                 <gmd:extent>
                                    <gml:TimeInstant gml:id="sourceExtent-1134460">
                                       <gml:timePosition>2012-01-31</gml:timePosition>
                                    </gml:TimeInstant>
                                 </gmd:extent>
                              </gmd:EX_TemporalExtent>
                           </gmd:temporalElement>
                        </gmd:EX_Extent>
                     </gmd:sourceExtent>
                  </gmd:LI_Source>
               </gmd:source>
            <gmd:processStep><gmd:LI_ProcessStep><gmd:description><gco:CharacterString>
                            The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands.
                        </gco:CharacterString></gmd:description><gmd:dateTime><gco:DateTime>2025-04-14</gco:DateTime></gmd:dateTime><gmd:processor><gmd:CI_ResponsibleParty><gmd:individualName><gco:CharacterString>NOAA Office for Coastal Management</gco:CharacterString></gmd:individualName><gmd:contactInfo><gmd:CI_Contact><gmd:address><gmd:CI_Address><gmd:electronicMailAddress><gco:CharacterString>coastal.info@noaa.gov</gco:CharacterString></gmd:electronicMailAddress></gmd:CI_Address></gmd:address></gmd:CI_Contact></gmd:contactInfo><gmd:role><gmd:CI_RoleCode codeList="https://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>