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<br />. <br /> <br />. <br /> <br />J 'i,l <br /> <br />Proiect ScoDe of Work <br /> <br />Task 1 - Data Pre-processing <br /> <br />Obtain data from Department of Natural Resources <br /> <br />1. Reproject DOQQ's <br /> <br />Load DOQQ's. Determine that all DOQQ's have been provided for the study area (AOI). If <br />provided in another format import to .img. Reproject all DOQQ's to UTM Zone 13 NAD27. If <br />another than project projection is needed contractor will notify State before reprojecting <br />DOQQ's. Write DOQQ's out to CDROM for data archive. Assign each DOQQ to a DWR <br />Division (4, 5, 6 & 7) and copy to the Division subdirectories. Where a quad may overlay a <br />division boundary copy the quarter quad into each subdirectory. TGS will receive the DOQQs <br />as .sid files on CD or 4 mm tape from the State. A directory structure will be created on the <br />File Server by Division to organize the images. All .sid files will be converted by batch to a <br />GeoTiff for display in Workstation Arclnfo. An image catalog for each division will be created <br />to facilitate digitizing, edgematching, and Quality Control management. <br /> <br />Deliverable by State: <br /> <br />Files: Approximately 40 CD's or 4 mm tape, containing Mr. Sid images. <br /> <br />Deliverable to State: <br /> <br />Approximately 40 CD's Reprojected DOQQ's in UTM, Zone 13, NAD27, Mr. Sid format <br />and corresponding one to one to source DOQQ's. <br /> <br />2. Haze Reduction and Astronomical Correction <br /> <br />Load orthorectified TM data as ERDAS Imagine .img files. Review and document acquisition <br />dates and projection information. If other than specified project projection notify client and <br />orthorectification vendor. Load and reproject data as needed. Check 1993 field vectors and <br />DRG's or DOQQ's against Landsat to verify accurate georectification. Run haze reduction <br />(dHaze if needed) and astronomical correction (sun angle and earth/sun distance) on each TM <br />image to normalize. Haze could be a major factor of image quality due to the fires in the <br />summer of 2000. dHaze is intendecrfor use in situations where atmospheric scattering affects <br />the shorter wavelengths and varies in space. Although a variety of atmospheric correction <br />techniques have been developed, few are capable of handling space-varying effects such as <br />smoke plumes from brush fires and factories, smoke and haze that are present in and around <br />urban areas, and haze that often settles in low-lying areas overnight. dHaze uses information <br />from the infrared bands that are not affected by the scattering to predict the haze-free values <br />of the visible bands. Write images to CDROM. Clip each image to DWR basins and copy to <br />the Division subdirectory <br /> <br />Work Product: <br /> <br />Page 11 <br />