• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Xiong, L. (Xiong, L..) | Wang, G. (Wang, G..) | Bao, Y. (Bao, Y..) | Zhou, X. (Zhou, X..) | Sun, X. (Sun, X..) | Zhao, R. (Zhao, R..)

Indexed by:

Scopus

Abstract:

Multi-temporal airborne laser scanning (ALS) surveys have become a prime consideration for detecting landslide movements and evaluating landslide risk in mountain areas. The minimum elevation change (or detectability) that can be detected by repeated ALS surveys has become a critical threshold for landslide researchers and engineers to decide if ALS is a capable tool for detecting targeted landslides and arranging the minimum time span between two scans if ALS is a choice. The National Center for Airborne Laser Mapping (NCALM) at the University of Houston conducted three repeated ALS surveys at the Slumgullion landslide site in Colorado, U.S. over one week in July of 2015. These repeated ALS surveys provide valuable datasets for evaluating the vertical detectability of multi-temporal ALS surveys in a typical mountain area. According to this study, the difference of digital elevation models (DDEM) derived from ALS has the ability of detecting a minimum elevation change of 5 cm over flatter and moderately rugged terrain areas (slope < 20 degrees) and a minimum of a 10-cm elevation change over rugged terrain areas (20 degrees < slope < 40 degrees). However, the DDEM values over highly rugged terrain areas (slope > 40 degrees), such as cliff and landslide scarps, should be interpolated with caution. Global Navigation Satellite Systems (GNSS) and Terrestrial Laser Scanning (TLS) surveys were also performed at the middle portion of the landslide area for assessing the accuracy of ALS datasets. The accuracy of ALS varies from approximately one decimeter (~10 cm) to one foot (~30 cm) depending on the roughness of terrain surface and vegetation coverage (point density). The detectability and accuracy estimates of ALS measurements obtained from the case study could be used as a reference for estimating the performance of modern ALS in mountain areas with similar topography and vegetation coverage. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

Airborne laser scanning; DDEM; DEM; Detectability; LiDAR; Mountain landslide

Author Community:

  • [ 1 ] [Xiong, L.]Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, United States
  • [ 2 ] [Wang, G.]Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, United States
  • [ 3 ] [Bao, Y.]The Key Laboratory of Urban Security and Disaster Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zhou, X.]Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, United States
  • [ 5 ] [Sun, X.]School of Civil Engineering, Tianjin Chengjian University, Tianjin, 300384, China
  • [ 6 ] [Zhao, R.]School of Civil Engineering, Tianjin Chengjian University, Tianjin, 300384, China

Reprint Author's Address:

  • [Wang, G.]Department of Earth and Atmospheric Sciences, University of HoustonUnited States

Show more details

Related Keywords:

Related Article:

Source :

Geosciences (Switzerland)

ISSN: 2076-3263

Year: 2018

Issue: 12

Volume: 8

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

Online/Total:380/10642631
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.