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The mapping includes production of Infrared Pan Sharpened orthophotography with a pixel of 6 inches using imagery collected with the Leica ADS40 digital pushbroom sensor and processed with the ISTAR system. Image horizontal accuracy is +/-4 ft. at the 95% confidence level. Each file contains an image covering 3000 ft. by 2000 ft. on the ground.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs><idPurp>This digital orthoimagery can serve a variety of purposes, from general planning to field reference for spatial analysis to a tool for revision of vector maps. It can also serve as a reference layer for GIS.</idPurp><idStatus><ProgCd value="001"/></idStatus><idPoC><rpIndName>Tim Ruhren</rpIndName><rpOrgName>NYS Cyber Security and Critical Infrastructure Coordination</rpOrgName><rpPosName>NYS GIS Clearinghouse</rpPosName><role><RoleCd value="007"/></role></idPoC><resMaint><maintFreq><MaintFreqCd value="009"/></maintFreq></resMaint><graphOver><bgFileName>Not applicable</bgFileName><bgFileDesc>Not applicable</bgFileDesc><bgFileType>Not applicable</bgFileType></graphOver><placeKeys><keyword>Nassau County, New York State</keyword></placeKeys><themeKeys><keyword>Digital Orthophotography</keyword></themeKeys><themeKeys><thesaName><resTitle>NYS GIS Clearinghouse categories</resTitle></thesaName><keyword>land use or land cover, emergency management, miscellaneous, planimetric, economic development, environment, wetlands, infrastructure or ground transportation, tourism or recreation.</keyword></themeKeys><searchKeys><keyword>Digital Orthophotography</keyword><keyword>Nassau County</keyword><keyword>New York State</keyword><keyword>2004</keyword><keyword>Infrared</keyword></searchKeys><resConst><LegConsts><useLimit>None</useLimit></LegConsts></resConst><dataLang><languageCode value="eng"/></dataLang><dataExt><exDesc>ground condition</exDesc><tempEle><TempExtent><exTemp><TM_Period><tmBegin>2004-04-15</tmBegin><tmEnd>2004-04-30</tmEnd></TM_Period></exTemp></TempExtent></tempEle></dataExt><suppInfo>Digital elevation models used for orthorectification where compiled from several sources, all of which were compiled photogrammetrically.</suppInfo><tpCat><TopicCatCd value="018"/></tpCat><tpCat><TopicCatCd value="007"/></tpCat><tpCat><TopicCatCd value="017"/></tpCat></dataIdInfo><dqInfo><dqScope><scpLvl><ScopeCd value="005"/></scpLvl></dqScope><report type="DQConcConsis"><measDesc>The dataset contains raster images or digital ortho images so the logical consistency report is not applicable. The file naming convention was supplied by New York state and is based on the co-ordinate pair of the lower left corner of the ortho tile. When the ortho tiles were created the file names where restricted to a numeric value representing the lower left corner of the ortho tile. 10470162 which represented a tile with the lower left corner of 1047000, 162000. These tiles were then all renamed using a batch script so that they reflected the N.Y. state standard l_10470162_12_5000_col_2000.tif Consistency of file naming was ensured by the batch process.</measDesc></report><report type="DQCompOm"><measDesc>The project consisted of 1697 final tiles.</measDesc></report><report type="DQAbsExtPosAcc" dimension="horizontal"><evalMethDesc>95% confidence interval</evalMethDesc><measResult><QuanResult><quanVal>+/- 4 ft.</quanVal></QuanResult></measResult></report><report type="DQAbsExtPosAcc" dimension="vertical"><measDesc>Not applicable</measDesc><evalMethDesc>Not applicable Not applicable Lineage:</evalMethDesc><measResult><QuanResult><quanVal>Not applicable</quanVal></QuanResult></measResult></report><dataLineage><prcStep><stepDesc>The aerial imagery acquisition for Nassau County was flown to support the creation of digital orthophotography with a 6 inch pixel. The imagery was acquired in two sorties over two days with a total of 26 flight lines. The mission was flown at 4800 feet AMT using the Leica ADS40 sensor, SP3. The airborne GPS data were processed and integrated with the IMU. The results were imported into the ISTAR system for use in the aerotriangulation. The ADS40 imagery was downloaded onto the EarthData server and brought over to the UNIX based ISTAR system. The ground control was used in conjunction with the processed ABGPS results for the aerotriangulation. The properly formatted ISTAR results were used for subsequent processing. An initial surface and bridge location was provided to EarthData by VARGIS. The surface data was translated into ASCII xyz files. A bridge buffer routine was then run on the 3D bridges supplied by the VARGIS creating an apron around the bridges. Because there was insufficient data coverage to complete the ortho tiles it was necessary to generate and ISTAR DSM to supplement the provided surface. ISTAR digital surface modeling is based on an auto correlated pixel matching system within the ISTAR software. The auto correlated DSM surface represents the initial surface model. This surface is then exported from the UNIX format into a Microstation compatible format. The techniques used to create the ISTAR DSM auto correlated surface are similar to those used for LIDAR processing. EarthData has developed a unique method for processing DSM data to identify and remove elevation points falling on vegetation, buildings, and other aboveground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale, projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. 1. Using the DSM ISTAR data set created by EarthData, 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. A process, which utilizes 3-D Analyst and EarthData's proprietary software was run to detect and color code the differences in elevation values and profiles. The technician reviewed this information and located the areas that contained systematic errors or distortions that were introduced by the auto correlation. 2. Systematic distortions highlighted in step 1 were removed and the data were re-inspected. Corrections and adjustments can involve the application of angular deflection or compensation for curvature of the ground surface that can be introduced by crossing from one type of land cover to another. 3.The data were checked against the control network to ensure that vertical requirements were maintained. The ISTAR DSM and the ASCII created from the VARGIS data were both merged together and imported back into the ISTAR UNIX environment. The digital orthophotography was created with a 6 inch pixel. One complete sets of orthos were made covering the entire project area in natural color. Once the processed merged DSM data was in the ISTAR system the initial radiometric adjustments were performed on the imagery for each flight line attempting to reach the best possible histogram. The rectification process was run using the processed DSM surface and the radiometrically balanced imagery on each flight line. A second set of radiometric adjustments were made and mosaic lines were placed. QA/QC was performed looking for smears and other indications of problems within the digital orthophoto creation process. The final imagery data set is removed from the ISTAR environment in a process called "packaging" where the individual tiles are created. The created tiles are reviewed again for anomalies and interactive radiometric adjustment applied where needed. The IR orthos involve the IR band and was "pan sharpened" with the panchromatic bands. The final product was untiled and uncompressed TIF and GeoTIFF format digital orthos with supporting TFW files.</stepDesc><stepDateTm>2004-09-01</stepDateTm></prcStep></dataLineage></dqInfo></metadata>
