CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10790 > Article
Presentation + Paper
9 October 2018 The automatic detection of landslide features from LiDAR DEM using modifying contour connection method
Kahn-Bao Wu
Author Affiliations +
Proceedings Volume 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX; 107900I (2018) https://doi.org/10.1117/12.2324949
Event: SPIE Remote Sensing, 2018, Berlin, Germany
Abstract
The U.S. Geological Survey (USGS) pointed out that landslides caused a loss of billions and thousands of deaths each year all over the world. In Taiwan, because of vulnerable geological conditions, the invasion of typhoon in summer, and over 70% of mountain area in the whole island, landslides not only cause people’s property damage but also threaten personal safety. Current landslide mapping techniques include field inventorying, photogrammetry, and the use of digital elevation models (DEMs) to highlight regions of past instability. Most researchers focus on automatically producing landslide inventory maps by using different kinds of remote sensing data. However, not many researches pay attention to deepseated landslides. Nowadays, deep-seated landslides are detected by experts from DEMs and there are few methods for the automatic detection of deep-seated landslides. One of the landslide mapping methods, contour connection method (CCM), utilizes bare earth light detection and ranging (LiDAR) to consistently detect landslide deposits on a landscape scale in an automated manner. However, CCM with computational complexity not only requires user inputs but focuses on general landslide geometry. This paper focuses on the automatic detection of landslide features by modifying CCM. The detection results were evaluated by the ground truth and marked some features of landslides and high susceptibility areas. It shows that by using the proposed method, the accuracy will be the same as that obtained by using CCM, but with less computation time.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Kahn-Bao Wu "The automatic detection of landslide features from LiDAR DEM using modifying contour connection method", Proc. SPIE 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX, 107900I (9 October 2018); https://doi.org/10.1117/12.2324949
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Landslide (networking)
LIDAR
Statistical analysis
Analytical research
Data modeling
Hazard analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top