Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques

Remote Sensing

Zbigniew Perski¹  Jinghui Fan²  Liqiang Tong²  Jienan Tu²  Qun Wang³  Shibiao Bai⁴  Emanuel Peres⁵  Joaquim J. Sousa⁵  Stefan Steger⁶  Ruth Sonnenschein⁶  Peter Mayrhofer⁶  Stefano Salvi⁷  Cristiano Tolomei⁷  Christian Bignami⁷  Simone Atzori⁷  Giuseppe Pezzo⁷  Guang Liu⁸  Shiyong Yan⁹  Lixin Wu^1,10  Lianhuan Wei^1,11  Yachun Mao^1,11  Shanjun Liu^1,11 

[1] Carpathian Branch, Polish Geological Institute—National Research Institute, 31-560 Cracow, Poland;China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China;China Highway Engineering Consultants Corporation, Beijing 100081, China;College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210046, China;Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal;Institute for Earth Observation, Eurac Research, 39100 Bolzano, Italy;Istituto Nazionale di Geofisica e Vulcanologia, National Earthquake Observatory, Via di Vigna Murata 605, 00143 Rome, Italy;Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;

关键词: geohazards;    landslide detection;    landslide inventory;    remote sensing;    InSAR;    MT-InSAR;   

DOI  :  10.3390/rs13214269

来源: DOAJ

【 摘 要 】

Geological disasters are responsible for the loss of human lives and for significant economic and financial damage every year. Considering that these disasters may occur anywhere—both in remote and/or in highly populated areas—and anytime, continuously monitoring areas known to be more prone to geohazards can help to determine preventive or alert actions to safeguard human life, property and businesses. Remote sensing technology—especially satellite-based—can be of help due to its high spatial and temporal coverage. Indeed, data acquired from the most recent satellite missions is considered suitable for a detailed reconstruction of past events but also to continuously monitor sensitive areas on the lookout for potential geohazards. This work aims to apply different techniques and methods for extensive exploitation and analysis of remote sensing data, with special emphasis given to landslide hazard, risk management and disaster prevention. Multi-temporal SAR (Synthetic Aperture Radar) interferometry, SAR tomography, high-resolution image matching and data modelling are used to map out landslides and other geohazards and to also monitor possible hazardous geological activity, addressing different study areas: (i) surface deformation of mountain slopes and glaciers; (ii) land surface displacement; and (iii) subsidence, landslides and ground fissure. Results from both the processing and analysis of a dataset of earth observation (EO) multi-source data support the conclusion that geohazards can be identified, studied and monitored in an effective way using new techniques applied to multi-source EO data. As future work, the aim is threefold: extend this study to sensitive areas located in different countries; monitor structures that have strategic, cultural and/or economical relevance; and resort to artificial intelligence (AI) techniques to be able to analyse the huge amount of data generated by satellite missions and extract useful information in due course.

【 授权许可】

Unknown