Geohazard refers to the geological hazarding behavior and/or its disaster phenomenon caused by natural factors or man-made disturbances. Geohazards include earthquakes, volcanoes, landslides, subsidence, collapse, fracturing, rockburst, cyclone, Tsunami, cloud bursts, debris flow, etc., which reduce the quality of geo-environments, and invariably endanger human safety. Recently, the innovative satellite-based monitoring/simulation technologies, analysis, and mapping tools, dramatic increment of Earth observations, as well as the rapid development of artificial intelligence have enabled great advances in geohazard perception, cognition, and prediction.
Despite the most recent advent of Earth big data and deep learning, numerous challenges still remain due to the complexity and uncertainty of geohazards, such as the availability of high Spatio-temporal resolution terrestrial monitoring, the fusion of heterogeneous observations, the interpretation, and transferability of simulation-analysis models. Given these challenges, there is a need to further investigate the integration of geo-information and deep learning for assessing and mitigating geohazards.
In this light, the Research Topic seeks original manuscripts. The contributions as fundamental and experimental studies, applied research, case studies, or reviewing the state-of-the-art and emerging techniques covering the whole cycle of geohazard management, from prevention and preparedness to response and recovery (and learning), are welcomed. The topic includes, but not limited to, the followings:
1) Mechanism of various geohazards
2) Multi-sphere coupling responding to great earthquake
3) Numerical simulation of geohazard formation and chain process
4) Monitoring technology and early warning of geohazards
5) Mapping of geohazard susceptibility
6) Measurements for geohazard prevention and control
7) Assessment of disaster situation and associated losses
8) Collaborative observation for hazarding progress
9) Emergency response to disastrous geohazard
10) Risk assessment of geohazard in a changing environment
11) Visualization of georisk in multiple Spatio-temporal scale
Geohazard refers to the geological hazarding behavior and/or its disaster phenomenon caused by natural factors or man-made disturbances. Geohazards include earthquakes, volcanoes, landslides, subsidence, collapse, fracturing, rockburst, cyclone, Tsunami, cloud bursts, debris flow, etc., which reduce the quality of geo-environments, and invariably endanger human safety. Recently, the innovative satellite-based monitoring/simulation technologies, analysis, and mapping tools, dramatic increment of Earth observations, as well as the rapid development of artificial intelligence have enabled great advances in geohazard perception, cognition, and prediction.
Despite the most recent advent of Earth big data and deep learning, numerous challenges still remain due to the complexity and uncertainty of geohazards, such as the availability of high Spatio-temporal resolution terrestrial monitoring, the fusion of heterogeneous observations, the interpretation, and transferability of simulation-analysis models. Given these challenges, there is a need to further investigate the integration of geo-information and deep learning for assessing and mitigating geohazards.
In this light, the Research Topic seeks original manuscripts. The contributions as fundamental and experimental studies, applied research, case studies, or reviewing the state-of-the-art and emerging techniques covering the whole cycle of geohazard management, from prevention and preparedness to response and recovery (and learning), are welcomed. The topic includes, but not limited to, the followings:
1) Mechanism of various geohazards
2) Multi-sphere coupling responding to great earthquake
3) Numerical simulation of geohazard formation and chain process
4) Monitoring technology and early warning of geohazards
5) Mapping of geohazard susceptibility
6) Measurements for geohazard prevention and control
7) Assessment of disaster situation and associated losses
8) Collaborative observation for hazarding progress
9) Emergency response to disastrous geohazard
10) Risk assessment of geohazard in a changing environment
11) Visualization of georisk in multiple Spatio-temporal scale
