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首页> 外文期刊>Journal of terramechanics >Detection of gullies in Fort Riley military installation using LiDAR derived high resolution DEM
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Detection of gullies in Fort Riley military installation using LiDAR derived high resolution DEM

机译:使用LiDAR衍生的高分辨率DEM检测莱利堡军事设施中的沟渠

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摘要

Intensive use of military vehicles in military installations create conditions favorable for gully formation. Gullies impede the access of vehicle, restrict the continuation of training, and lead to significant damage to vehicle and risk the life of soldiers. Therefore, it is critical to correctly identify the locations of gullies for continuous training mission. In this study, Fort Riley (FR) military installation was chosen as the study area. LiDAR derived 1 m resolution digital elevation model (DEM) acquired on 2010 was used to map the gullies. A procedure that measures local topographic position, i.e., difference from mean elevation (DFME) along with its integration to the land surface having high surface curvature values was employed. Two high spatial resolution WorldView-2 images of 2010 and field gully data collected in 2010 were utilized for accuracy assessment. Results showed that: (1) A total of 237 small and 166 large gullies were detected and most of them dominated the central west and northwest parts of the installation; (2) Based on the visual interpretation in the WorldView-2 images, there was no statistically significant difference between the detected and observed numbers of gullies; (3) Gullies measured in the field were well detected with an overall accuracy of 78%. (C) 2018 ISTVS. Published by Elsevier Ltd. All rights reserved.
机译:在军事设施中大量使用军用车辆创造了有利于沟渠形成的条件。沟渠阻碍了车辆的通行,限制了训练的继续,并导致车辆的重大损坏并危及士兵的生命。因此,正确识别水沟的位置对于连续训练任务至关重要。在本研究中,莱里堡(FR)军事设施被选为研究区域。利用LiDAR于2010年获得的1 m分辨率数字高程模型(DEM)绘制了沟壑图。采用了一种测量局部地形位置的方法,即与平均高程的差值(DFME)及其与具有高表面曲率值的陆地表面的积分。利用两张2010年的高空间分辨率WorldView-2图像和2010年收集的田间沟壑数据进行准确性评估。结果表明:(1)总共检测到237个小和166个大水槽,其中大多数占据了该装置的中西部和西北部。 (2)根据WorldView-2影像的视觉解释,发现和观察到的沟壑数量之间在统计学上没有显着差异; (3)在现场测得的沟渠得到了很好的检测,总体准确度为78%。 (C)2018年ISTVS。由Elsevier Ltd.出版。保留所有权利。

著录项

  • 来源
    《Journal of terramechanics》 |2018年第6期|15-22|共8页
  • 作者单位

    Southern Illinois Univ Carbondale, Environm Resources & Policy Program, Carbondale, IL 62901 USA;

    Southern Illinois Univ Carbondale, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;

    Woodford & Woodford Inc, 2822 Tatarrax Dr, Manhattan, KS 66502 USA;

    USA CERL, Champaign, IL 61822 USA;

    Kansas State Univ, Dept Geog, Manhattan, KS 66506 USA;

    Kansas State Univ, Dept Biol & Agr Engn, Manhattan, KS 66506 USA;

    Southern Illinois Univ Carbondale, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;

    Univ Tennessee, Hlth Sci Ctr, Dept Prevent Med, Memphis, TN 38163 USA;

    Southern Illinois Univ Carbondale, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;

    Southern Illinois Univ Carbondale, Dept Forestry, Carbondale, IL 62901 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DEM; Gully; Land degradation; LiDAR; Military training;

    机译:DEM;沟壑;土地退化;激光雷达;军事训练;

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