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      <gco:DateTime>2026-04-30T00:00:00</gco:DateTime>
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      <gco:CharacterString>ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data</gco:CharacterString>
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                                    xlink:title="InPort Catalog ID">49482</gmx:Anchor>
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                                                                        Citation URL
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            <gco:CharacterString>The mosaic image contained in this file is comprised of RGB imagery collected by the Leica ADS40 sensor along the coast of California. Data coverage generally extends along the coastline from the waterline inshore 500 meters. The sensor produces 12-bit data with three color bands that are not generally in a format accessible to most Geographical Information Systems (GIS). Specialized in-house and commercial software packages processes the imagery data into GIS-compatible products for visualization and further analysis. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID09 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Imagery have been ortho-rectified and mosaiced into boxes that extend approximately 5 km along shore. The file index is provided by the shape file, "CA_boxes" and the numbers used to identify files are in the "Box" field of the shape file. The data file naming convention is based on the year, project, area name, "Box" number, and product type. An example file name is "2009_NCMP_CA_###_RGB_ADS40.tif," where (2009) is the year of data collection, (NCMP) is the project under which data were collected, (CA) is the area of data collection, (###) is the "Box" number, and "(RGB_ADS40)" is the product type.
Original contact information: 
   Contact Org: JALBTCX
   Title: Data Production Manager
   Phone: 228-252-1121
   Email: shoals-info@sam.usace.army.mil</gco:CharacterString>
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                        <gco:CharacterString>Global Change Master Directory (GCMD) Location Keywords</gco:CharacterString>
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               <gmd:keyword>
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         <gmd:resourceConstraints>
            <gmd:MD_LegalConstraints>
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                  <gco:CharacterString>Use Constraints: These images depict the existing conditions of the beach and nearshore at the time of the survey and are only accurate for that time. Acknowledgment of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products.</gco:CharacterString>
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                  <gco:CharacterString>Distribution Liability: The data is in the public domain and may be redistributed.  No restrictions or legal prerequisites for using the data. The data is suitable for use at appropriate scale, and is not intended for maps printed at scales greater or more detailed than 1:12,000 scale (1 inch = 1,000 feet).</gco:CharacterString>
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                           <gml:description> | Currentness: Ground Condition</gml:description>
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            <gmd:MD_DigitalTransferOptions>
               <gmd:onLine>
                  <gmd:CI_OnlineResource>
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                        <gmd:URL>https://coastalimagery.blob.core.windows.net/digitalcoast/CoastalCA_RGB_2009_435/index.html</gmd:URL>
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                  <gco:CharacterString>Compliance with the accuracy standard was ensured by the placement of GPS ground control. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical bundle aerotriangulation adjustment. 2. The DTM (Digital Terrain Model) data was checked against the project control. The technician visited and confirmed the accuracy of the project mass points during initial compilation. 3. Any topographic data was checked for edge match, consistency of attribution, and cartographic quality through visual inspection. 4. Digital orthophotography was validated through an inspection of edge matching and visual inspection for image quality.</gco:CharacterString>
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               <gmd:result gco:nilReason="missing"/>
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               <gmd:statement gco:nilReason="missing"/>
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                        <gco:CharacterString>EarthData utilized an InfoTerra Pixel Factory workflow for processing the aerotriangulation for the orthoimagery covering the project area. The airborne GPS data was processed and integrated with the inertial measurement unit (IMU). The resulting imagery and control were imported into the InfoTerra Pixel Factory system for use in the aerotriangulation. The ADS40 imagery was downloaded onto the EarthData server and brought over to the UNIX basedInfoTerra Pixel Factory system. The ground control was used in conjunction with the processed airborne global positioning system (ABGPS) results for the aerotriangulation. The ground control points were read in all available imagery and tie points between flight lines were selected. A fully analytical bundle adjustment was run. The properly formatted InfoTerra Pixel Factory results were used for subsequent processing. All final results were output into an AT report which is being delivered with the final orthoimagery."</gco:CharacterString>
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                        <gco:CharacterString>InfoTerra Pixel Factory was used in the processing of the DSM for orthorectification of the imagery covering the Orchard Hills Training Site, Idaho project area. InfoTerra Pixel Factory digital surface modeling is based on an auto correlated pixel-matching system within the InfoTerra Pixel Factory software. The auto correlated digital surface model (DSM) surface represents the initial surface model. The following is the process used. 1. Using the DSM InfoTerra Pixel Factory data set created, the technician performed a visual inspection of the data to verify that the flight lines met correctly. The technician also verified that there were no voids, and that the data covered the project limits. The technician then selected a series of areas from the dataset and inspected them where adjacent flight lines met. 2. This DSM surface is used in the rectification of the orthoimagery.</gco:CharacterString>
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                        <gco:CharacterString>The digital orthophotography is comprised of 24 bit natural color RGB bands and a 0.30 meter pixel resolution ground orthos for the project area. The InfoTerra Pixel Factory was used in the generation of the orthoimagery covering all project tiles. The radiometric adjustments and color balancing were performed on the raw 16 bit format imagery for each flight line prior to the import to the Pixel Factory. FEDI uses proprietary software developed specifically to adjust the radiometry of the imagery of the push broom three lines scanner such as the ADS40. The rectification process was then run using the processed DSM surface and the radiometrically balanced imagery on each flight line. The quicklook (reduced resolution rectification) ortho for all flight lines then used to generate the automatic mosaic lines. . which were placed, to mosaic the full resolution ortho of the ADS40 imagery strips. An initial QA/QC was performed by the technician to ensure that the mosaic lines were appropriately placed and that there was appropriate imagery coverage. The final imagery data set is removed from the InfoTerra environment in a process called """"packaging"""" where the individual tiles are created. All data processing in the InfoTerra system is performed in UTM meters; it is during packaging that final datum and projection are defined. The created tiles are reviewed again for anomalies and interactive radiometric adjustment applied where needed. QA/QC was performed looking for anomalies, smears and other indications of problems within the digital Orthophoto creation process, interactive radiometric adjustment applied where needed. Two additional radiometric adjustments are applied to the completed orthos in Adobe Photoshop. The first is a sharpening mask filter; this filter is used to help increase sharpness of a digital image. The basis for this filter is to locate pixels that differ in value from surrounding pixels by the threshold specified. It then increases the pixels' contrast by the value identified. For neighboring pixels specified by the threshold, the lighter pixels get even lighter and the darker pixels get even darker based on the specified amount. The changes made maintained the integrity of the original histogram curve.</gco:CharacterString>
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</gmi:MI_Metadata>
