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            <gco:CharacterString>Use Constraints: Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. We do request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these photos in a report, publication, or presentation.</gco:CharacterString>
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              <gmd:description>
                <gco:CharacterString>Photo Science's digital orthorectification process relies on four primary production data sources including digital aerial imagery, camera calibration data, ground and airborne control/aerotriangulation data, and the existing DEM as described above. Photo Science rectified all of the image frames to minimize the effects of radial displacement and to ensure radiometric consistency. The rectification process employed a cubic convolution re-sampling method, which sharpens the edges of linear features by sampling 16 of the closest pixels and performs a weighted adjustment. Intergraph OrthoPro software was used to accomplish the rectification of the individual frames. Mosaicking was also accomplished using OrthoPro software. Image blocks were processed using two distinct tonal matching functions. Each image was processed to remove any hotspots in the middle of the frame. During the collection of aerial imagery, more light enters the lens from directly below the camera than does from the corners of the frame. Even though filters are designed to minimize this effect, some hotspots still can occur. Additionally, all of the frames underwent a histogram comparison process and then were matched to provide a seamless tone image. For optimal production performance Photo Science initiated an automatic seamline creation strategy for image mosaicking. Auto-generated seamlines are reviewed and manually adjusted to avoid buildings and other features depicting discontinuity. The mosaic was then reprocessed using manual seamlines to maximize image quality. During the mosaicking process, seamlines were feathered to provide a smooth transition from one image to another. Photo Science utilized a combined automated / manual methodology for maximum cost efficiency and image quality. Tonal matching was accomplished by comparing pixel values in the overlap area of all images. The software modified the histograms of the individual images to achieve an overall mosaic, which will had a uniform tone throughout the images. Orthomosaic files were tiled to a ground distance of 2.5 km by 2.5 km with a ten (10) meter buffer (overlap) around all four edges of the tile. The final format of the tile index was a polygon shapefile projected to NAD 83 in geographic coordinates.</gco:CharacterString>
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