Volume XXXVIII-4/W25
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W25, 98-103, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-98-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W25, 98-103, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-98-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Aug 2012

30 Aug 2012

MULTI-SENSOR NETWORK FOR LANDSLIDES SIMULATION AND HAZARD MONITORING - DESIGN AND DEPLOYMENT

H. Wu2,1, G. Qiao2,1, P. Lu2,1, T. Feng2,1, Y. Tian2,1, H. Fan2,1, S. Liu2,1, C. Liu2,1, X. Tong2,1, W. Wang2,1, Y. Shen2,1, Z. Guan2,1, and R. Li3,2 H. Wu et al.
  • 1Department of Surveying and Geoinfomatics, Tongji University, P.R.China
  • 2Centre for Spatial Information Science and Sustainable Development, Tongji University, P.R.China
  • 3Mapping and GIS Lab, The Ohio State University

Keywords: Landslides, Multisensor, Acquisition, Monitoring, Networks

Abstract. This paper describes a newly developed multi-sensor network system for landslide and hazard monitoring. Landslide hazard is one of the most destructive natural disasters, which has severely affected human safety, properties and infrastructures. We report the results of designing and deploying the multi-sensor network, based on the simulated landslide model, to monitor typical landslide areas and with a goal to predict landslide hazard and mitigate damages. The integration and deployment of the prototype sensor network were carried out in an experiment area at Tongji University in Shanghai. In order to simulate a real landslide, a contractible landslide body is constructed in the experiment area by 7m*1.5m. Then, some different kind of sensors, such as camera, GPS, crackmeter, accelerometer, laser scanning system, inclinometer, etc., are installed near or in the landslide body. After the sensors are powered, continuous sampling data will be generated. With the help of communication method, such as GPRS, and certain transport devices, such as iMesh and 3G router, all the sensor data will be transported to the server and stored in Oracle. These are the current results of an ongoing project of the center. Further research results will be updated and presented in the near future.