[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …

YA Nanehkaran, B Chen, A Cemiloglu, J Chen… - Water, 2023 - mdpi.com
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …

[HTML][HTML] InSAR 变形监测方法与研究进展

朱建军, 李志伟, 胡俊 - 2017 - html.rhhz.net
变形监测是星载InSAR 技术应用最为成熟的领域之一. 本文首先介绍了InSAR
变形监测的基本原理和卫星数据来源; 然后对InSAR 变形监测方法进行了系统性的分类 …

Dynamic strain determination using fibre-optic cables allows imaging of seismological and structural features

P Jousset, T Reinsch, T Ryberg, H Blanck… - Nature …, 2018 - nature.com
Natural hazard prediction and efficient crust exploration require dense seismic observations
both in time and space. Seismological techniques provide ground-motion data, whose …

LiCSBAS: An open-source InSAR time series analysis package integrated with the LiCSAR automated Sentinel-1 InSAR processor

Y Morishita, M Lazecky, TJ Wright, JR Weiss, JR Elliott… - Remote Sensing, 2020 - mdpi.com
For the past five years, the 2-satellite Sentinel-1 constellation has provided abundant and
useful Synthetic Aperture Radar (SAR) data, which have the potential to reveal global …

Crustal deformation in the India‐Eurasia collision zone from 25 years of GPS measurements

G Zheng, H Wang, TJ Wright, Y Lou… - Journal of …, 2017 - Wiley Online Library
Abstract The India‐Eurasia collision zone is the largest deforming region on the planet;
direct measurements of present‐day deformation from Global Positioning System (GPS) …

Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery

K Vos, MD Harley, KD Splinter, JA Simmons… - Coastal …, 2019 - Elsevier
The ability to repeatedly observe and quantify the changing position of the shoreline is key
to present-day coastal management and future coastal planning. This study evaluates the …

Inversion of surface deformation data for rapid estimates of source parameters and uncertainties: A Bayesian approach

M Bagnardi, A Hooper - Geochemistry, Geophysics …, 2018 - Wiley Online Library
New satellite missions (eg, the European Space Agency's Sentinel‐1 constellation),
advances in data downlinking, and rapid product generation now provide us with the ability …

LiCSAR: An automatic InSAR tool for measuring and monitoring tectonic and volcanic activity

M Lazecký, K Spaans, PJ González, Y Maghsoudi… - Remote Sensing, 2020 - mdpi.com
Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key
geophysical tool for surface deformation studies. The European Commission's Sentinel-1 …

High‐resolution surface velocities and strain for Anatolia from Sentinel‐1 InSAR and GNSS data

JR Weiss, RJ Walters, Y Morishita… - Geophysical …, 2020 - Wiley Online Library
Measurements of present‐day surface deformation are essential for the assessment of long‐
term seismic hazard. The European Space Agency's Sentinel‐1 satellites enable global …