Next Article in Journal
Assessing Regional Climate and Local Landcover Impacts on Vegetation with Remote Sensing
Next Article in Special Issue
Damage to Buildings in Large Slope Rock Instabilities Monitored with the PSInSAR™ Technique
Previous Article in Journal
Trends in the Start of the Growing Season in Fennoscandia 1982–2011
Previous Article in Special Issue
Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2013, 5(9), 4319-4346;

Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design

Center for Spatial Information Science and Sustainable Development Applications, College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
Mapping and GIS Lab, The Ohio State University, Columbus, OH 43210, USA
Author to whom correspondence should be addressed.
Received: 5 August 2013 / Revised: 3 September 2013 / Accepted: 3 September 2013 / Published: 6 September 2013
Full-Text   |   PDF [4897 KB, uploaded 19 June 2014]


This paper presents an integrated approach to landslide research based on remote sensing and sensor networks. This approach is composed of three important parts: (i) landslide susceptibility mapping using remote-sensing techniques for susceptible determination of landslide spots; (ii) scaled-down landslide simulation experiments for validation of sensor network for landslide monitoring, and (iii) in situ sensor network deployment for intensified landslide monitoring. The study site is the Taziping landslide located in Hongkou Town (Sichuan, China). The landslide features generated by landslides triggered by the 2008 Wenchuan Earthquake were first extracted by means of object-oriented methods from the remote-sensing images before and after the landslides events. On the basis of correlations derived between spatial distribution of landslides and control factors, the landslide susceptibility mapping was carried out using the Artificial Neural Network (ANN) technique. Then the Taziping landslide, located in the above mentioned study area, was taken as an example to design and implement a scaled-down landslide simulation platform in Tongji University (Shanghai, China). The landslide monitoring sensors were carefully investigated and deployed for rainfall induced landslide simulation experiments. Finally, outcomes from the simulation experiments were adopted and employed to design the future in situ sensor network in Taziping landslide site where the sensor deployment is being implemented. View Full-Text
Keywords: landslide; sensor network; susceptibility mapping; remote sensing landslide; sensor network; susceptibility mapping; remote sensing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Qiao, G.; Lu, P.; Scaioni, M.; Xu, S.; Tong, X.; Feng, T.; Wu, H.; Chen, W.; Tian, Y.; Wang, W.; Li, R. Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design. Remote Sens. 2013, 5, 4319-4346.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top