History and Background

Geoenvironmental disasters are globally occurring with a potential trend of increased frequency and magnitude, thereby creating a large number of causalities, huge economic losses and extensive damages on infrastructures around the world. To effectively predict and prevent worldwide hazards, a reliable disaster sensing system is absolutely essential. It is particular critical to collect real-time and precise spatial information before, during and after different events of multiple disasters. Traditional investigation of those disasters mainly focused on approaches to engineering geology which primarily emphasizes on intensive and widespread in-situ observations. Such traditional approaches may face significant limitations in gathering comprehensive disaster information at global, regional and local scales. In addition, they may encounter difficulties in providing accurate and reliable monitoring data for further incorporation with prediction models. With the advent of new technologies such as remote sensing, satellite navigation, artificial intelligence, virtual reality, and novel communication networks, there is an increasing demand on establishing novel approaches to effectively sensing those geoenvironmental disasters, preferably in a more intelligent way. The inclusion of those new techniques can particular offer a unique way to understand how natural hazards may evolve to catastrophic disasters, with unprecedented spatial, temporal and even spectral resolution. In particular, future improvements of accuracy, efficiency and smartness can thus be foreseen. Therefore, based on the abovementioned demands and our previous experiences on perception of geoenvironmental disasters, we realize that it is urgent to establish a committee on Intelligent Sensing of Geoenvironmental Disasters within ICGdR.

 

Aims and Perspectives

Committee on Intelligent Sensing of Geoenvironmental Disasters aims to 1) develop novel state-of-art approaches to comprehensive perception of diverse geoenvironmental disasters at a more intelligent manner; 2) design and practice new instruments and sensors that are more handy to be implemented in sustainable monitoring and investigation of disasters at different scales; 3) establish spatial sensor network for widespread investigating regional disasters focusing on a real-time implementation; 4) handle and process big data acquired from diverse platforms and multi-sensors into disaster management; 5) generate linkage between airborne and spaceborne remote sensing observations and traditional methods of engineering geology and geophysics; 6) be dedicated to an intelligent visualization system, including but not limited to augmented reality, virtual reality and mixed reality, for disaster monitoring and detecting dynamic changes of giant landslides. The committee also encourages all participants to facilitate tight cooperation between international organizations, global stakeholders, local and regional governments, universities and scientific academies, and advanced enterprises.

 

Chair:

Chun Liu, Dr. Prof., College of Surveying and Geo-Informatics, Tongji University, China

 

Vice Chair:

Ping Lu, Dr., College of Surveying and Geo-Informatics, Tongji University, China

 

Secretary:

Ping Lu, Dr., College of Surveying and Geo-Informatics, Tongji University, China

 

Committee Members:

BHANDARY Netra Prakash, Ehime University, Japan

CALVELLO Michele, University of Salerno, Italy

CHENG Qian-gong, Southwest Jiaotong University, China

CUI Yifei, Tsinghua University, China

DAHAL Ranjan Kumar, Central Department of Geology, Nepal

GU Kai, Nanjing University, China

HU Cong, Ocean University of China, China

HUANG Yu, Tongji University, China

KROPACEK Jan, Charles University, Czech Republic

LIU Chun, Tongji University, China

LIU Fenggui, Qinghai Normal University, China

LU Ping, Tongji University, China

MORETTI Sandro, University of Florence, Italy

MUNTOHAR Agus Setyo, National Accreditation Agency for Higher Education, Indonesia

PEI Huafu, Dalian University of Technology, China

SU Zhandong，Institute of Disaster Prevention, China

WINTER Mike, Winter Associates Limited, United Kingdom

XU Chong, National Institute of Natural Hazards, Ministry of Emergency Management, China

XU Qiang, Chengdu University of Technology, China

ZHANG Shaotong, Ocean University of China, China

ZHANG Yingbin, Southwest Jiaotong University, China