首页> 外文会议>International conference on remote sensing for marine and coastal environments >COMPARISON OF AERIAL PHOTOGRAPHIC WET DRY LINE EXTRACTIONWITH PROJECTION OF WATER LEVELS ONTO LIDAR DATA
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COMPARISON OF AERIAL PHOTOGRAPHIC WET DRY LINE EXTRACTIONWITH PROJECTION OF WATER LEVELS ONTO LIDAR DATA

机译:航空影像干线提取与激光数据上水位投影的比较

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For over a century scientists have attempted to define what indicates the position of theland water interface, or shoreline. The determination of the shoreline position is criticalin calculating shoreline erosion or accretion rates. Studies show that long term data setsare essential when attempting to accurately measure shoreline evolution. LIDAR is oneof the latest technologies to be used in coastal studies. Large amounts of LIDAR datacan be collected in short amounts of time, and errors associated with LIDAR are usuallyless than 30 centimeters. In order to use LIDAR as a method for measuring shorelineevolution, it must be compared to past methods.This paper demonstrates how LIDAR data can be used to estimate shoreline positionscompatible with historical data. Seven study locations on the North and South Carolinacoast were examined. LIDAR and digital orthophotographs were collectedsimultaneously. The LIDAR data for each location was gridded at 0.5 meters, andorthophotographs were produced with 20 cm pixels. Digitization of the wet dry line fromthe digital orthophotographs was compared to water elevations projected onto LIDARdata. Results show that the projection of water levels onto LIDAR data is well within theerrors associated with digitization of the wet dry line. The use of LIDAR data to estimatethe wet dry line is feasible, and LIDAR data improves the quality of long term data setsdue to the relatively low errors and fully quantifiable distortions.
机译:一个多世纪以来,科学家们一直试图定义什么表示指示物的位置。 陆地水界面或海岸线。确定海岸线位置至关重要 在计算海岸线侵蚀或积聚率时。研究表明,长期数据集 在尝试准确测量海岸线演变时必不可少。激光雷达是一 用于沿海研究的最新技术。大量的LIDAR数据 可以在很短的时间内收集到,与LIDAR相关的错误通常是 小于30厘米。为了使用LIDAR作为测量海岸线的方法 进化,它必须与过去的方法进行比较。 本文演示了如何使用LIDAR数据估算海岸线位置 与历史数据兼容。北卡罗莱纳州和南卡罗莱纳州的七个学习地点 海岸进行了检查。收集激光雷达和数字正射照片 同时。每个位置的LIDAR数据在0.5米处网格化,并且 正射照片的像素为20厘米。湿式干线的数字化从 将数字正射照片与投影到LIDAR上的水高进行了比较 数据。结果表明,水位到LIDAR数据上的投影范围在 与干湿线数字化相关的错误。使用LIDAR数据进行估算 湿式干线是可行的,而LIDAR数据可提高长期数据集的质量 由于相对较低的误差和完全可量化的失真。

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