首页> 美国政府科技报告 >High Density Lidar and Orthophotography in UXO Wide Area Assessment Phase 2. Final Report Addendum for Former Camp Beale Demonstration Site, Revision 2
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High Density Lidar and Orthophotography in UXO Wide Area Assessment Phase 2. Final Report Addendum for Former Camp Beale Demonstration Site, Revision 2

机译:未爆弹药广域评估阶段的高密度激光雷达和正射摄影2.前营Beale演示场地的最终报告附录,修订版2

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Since 2005, the Environmental Security Technology Certification Program (ESTCP) has conducted a pilot program to test the effectiveness of a multi-technology approach to UXO/MEC Wide Area Assessment (WAA). The first phase of this program was carried out at three desert sites containing little or no vegetation and few non-military land uses; results from this first phase were very positive. Subsequently, a second phase of the pilot program was added, including two new sites: the Former Camp Beale site near Marysville, California, and the Toussaint River site near Lake Erie. The Former Camp Beale site is located approximately 20 miles from Marysville, California, and covers an area of approximately 18,263 acres (2,391 hectares). URS Corporation and Terra Remote Sensing, Inc. were awarded ESTCP funds to demonstrate the utility of high-density lidar and orthophotography as one component of the WAA Pilot Program. The URS team collected lidar and orthophotography at two sites during the first phase of the program, and at the Former Camp Beale demonstration site which is the subject of this report addendum. Data for the Former Camp Beale site was collected over a two-week period in July, 2006. The objectives for the Former Camp Beale demonstration site were similar to those for the previous demonstration sites: to examine the ability of lidar and high-resolution orthophotos to identify and delineate MRS and MEC-related ground features, to verify or correct data in the existing CSM and ASR, and to contribute data that could be used to focus and prioritize the use of more expensive low-altitude or ground-based technologies. These objectives were met. Lidar and orthophoto data were successfully used to identify MRS and munitions-related features, and to verify and correct the initial CSM.

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