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  • 标题:EVALUATION OF LIDAR FOR HIGHWAY PLANNING, LOCATION AND DESIGN
  • 本地全文:下载
  • 作者:David Veneziano ; Reginald Souleyrette ; Shauna Hallmark
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2002
  • 卷号:XXXIV Part 1
  • 出版社:Copernicus Publications
  • 摘要:Surface terrain information is required to economically site new or relocate existing infrastructure facilities and make final design plans. Currently, field surveying and photogrammetric mapping are the most widely used methods to acquire these data. However, these methods are time and resource intensive as significant data collection and reduction is required to provide the level of detail necessary for facility location and desig n. Light Detection and Ranging (LIDAR) is a relatively new alternative technology to obtain terrain information more efficiently. With LIDAR, data can be collected under a variety of environmental conditions, including low sun angle, cloudy skies, and even darkness, resulting in expanded windows for data collection. While less accurate than photogrammetric mapping, LIDAR presents the opportunity to expedite the highway location and design process by providing designers with preliminary terrain informatio n earlier in the process. This paper presents a proposed methodology for utilizing LIDAR in conjunction with photogrammetric mapping to speed up highway location and design activities, including estimates of time and cost savings
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