Lidar-based mapping of flood control levees in South Louisiana

被引:5
|
作者
Thatcher, Cindy [1 ]
Lim, Samsung [2 ]
Palaseanu-Lovejoy, Monica [1 ]
Danielson, Jeffrey [3 ]
Kimbrow, Dustin [4 ]
机构
[1] US Geol Survey, Eastern Geog Sci Ctr, 12201 Sunrise Valley Dr, Reston, VA 20192 USA
[2] Univ New South Wales, Sch Civil & Environm Engn, UNSW Sydney, Sydney, NSW, Australia
[3] US Geol Survey, EROS Ctr, Sioux Falls, SD USA
[4] US Geol Survey, Lower Mississippi Gulf Water Sci Ctr, Montgomery, AL USA
关键词
ELEVATION DATA; UNCERTAINTY; SUBSIDENCE; AIRBORNE; RISE;
D O I
10.1080/01431161.2016.1249304
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Flood protection in south Louisiana is largely dependent on earthen levees, and in the aftermath of Hurricane Katrina the state's levee system has received intense scrutiny. Accurate elevation data along the levees are critical to local levee district managers responsible for monitoring and maintaining the extensive system of non-federal levees in coastal Louisiana. In 2012, high resolution airborne lidar data were acquired over levees in Lafourche Parish, Louisiana, and a mobile terrestrial lidar survey was conducted for selected levee segments using a terrestrial lidar scanner mounted on a truck. The mobile terrestrial lidar data were collected to test the feasibility of using this relatively new technology to map flood control levees and to compare the accuracy of the terrestrial and airborne lidar. Metrics assessing levee geometry derived from the two lidar surveys are also presented as an efficient, comprehensive method to quantify levee height and stability. The vertical root mean square error values of the terrestrial lidar and airborne lidar digital-derived digital terrain models were 0.038 m and 0.055 m, respectively. The comparison of levee metrics derived from the airborne and terrestrial lidar-based digital terrain models showed that both types of lidar yielded similar results, indicating that either or both surveying techniques could be used to monitor geomorphic change over time. Because airborne lidar is costly, many parts of the USA and other countries have never been mapped with airborne lidar, and repeat surveys are often not available for change detection studies. Terrestrial lidar provides a practical option for conducting repeat surveys of levees and other terrain features that cover a relatively small area, such as eroding cliffs or stream banks, and dunes.
引用
收藏
页码:5708 / 5725
页数:18
相关论文
共 50 条
  • [41] LIDAR-Based Robust Wind-Scheduled Control of Wind Turbines
    Rezaei, Vahid
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 4416 - 4421
  • [42] Image-based Versus Lidar-based 3D Mapping: Is the Controversy Resolved?
    Habib, Ayman
    GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2015, 29 (03): : 7 - 7
  • [43] Database on seismic response of instrumented flood control levees
    Zimmaro, Paolo
    Kwak, Dong Youp
    Tsai, Yi Tyan
    Stewart, Jonathan P.
    Brandenberg, Scott J.
    Mikami, Atsushi
    Kataoka, Shojiro
    EARTHQUAKE SPECTRA, 2020, 36 (02) : 924 - 938
  • [44] Lidar-Based Action-Recognition Algorithm for Medical Quality Control
    Wang Yuanze
    Zhang Haiyang
    Wu Xuan
    Kong Chunxiu
    Ju Yezhao
    Zhao Changming
    LASER & OPTOELECTRONICS PROGRESS, 2024, 61 (12)
  • [45] Geomorphic changes after the 2021 Central European flood in the Ahr Valley by LiDAR-based differences
    Steinritz, Vanessa
    Bellanova, Piero
    Schmidt, Bernd
    Schuettrumpf, Holger
    Schwarzbauer, Jan
    Reicherter, Klaus
    ENVIRONMENTAL SCIENCES EUROPE, 2024, 36 (01)
  • [46] A Comparison between LIDAR-based Feedforward and DAC for Control of Wind Turbines
    Khaniki, Mohammad Salari
    Schlipf, David
    Cheng, Po Wen
    2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), 2018, : 1650 - 1655
  • [47] Design and Assessment of a LIDAR-Based Model Predictive Wind Turbine Control
    Bao, Jie
    Yue, Hong
    ENERGIES, 2022, 15 (17)
  • [48] Lidar-Based Action-Recognition Algorithm for Medical Quality Control
    Wang Yuanze
    Zhang Haiyang
    Wu Xuan
    Kong Chunxiu
    Ju Yezhao
    Zhao Changming
    激光与光电子学进展, 2024, (12) : 316 - 324
  • [49] A LiDAR-Based Pitch Control Strategy for Ultra Large Wind Turbines
    Farag, Wael
    Hassan, Hussien
    Saad, Mohamed
    Elshafei, Abdel-Latif
    2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON), 2017, : 451 - 458
  • [50] LiDAR-based simultaneous multi-object tracking and static mapping in nearshore scenario
    Yao, Zhiting
    Chen, Xiyuan
    Xu, Ninghui
    Gao, Ning
    Ge, Mingming
    OCEAN ENGINEERING, 2023, 272