141 citations
- Institute of High Energy PhysicsCN3 papers
- Peking UniversityCN3 papers
- Chinese Academy of SciencesCN2 papers
- Institute of Geophysics, China Earthquake AdministrationCN2 papers
- National Earthquake Response Support ServiceCN2 papers
- University of TriesteIT2 papers
- Accademia Nazionale dei LinceiIT1 paper
- Beijing Normal UniversityCN1 paper
- Beijing University of Civil Engineering and ArchitectureCN1 paper
- California Institute of TechnologyUS1 paper
- Centre de physique des particules de MarseilleFR1 paper
- Centre de Physique ThéoriqueFR1 paper
13 papers
Revisiting Seismicity Criticality: A New Framework for Bias Correction of Statistical Seismology Model Calibrations
Jiawei Li, Didier Sornette, Zhongliang Wu +2
The Epidemic-Type Aftershock Sequences (ETAS) model and its variants effectively capture the space-time clustering of seismicity, setting the standard for earthquake forecasting. A…
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images
Xiaoxiang Han, Yiman Liu, Gang Liu +2
Semantic segmentation for extracting buildings and roads from uncrewed aerial vehicle (UAV) remote sensing images by deep learning becomes a more efficient and convenient method th…
Towards advancing the earthquake forecasting by machine learning of satellite data
Pan Xiong, Lei Tong, Kun Zhang +7
Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.…
Dependence of great geomagnetic storm intensity (SYM-H-200 nT) on associated solar wind parameters
Ming-Xian Zhao, Gui-Ming Le, Qi Li +2
We use SYM-H to capture the variation in the SYM-H index during the main phase of a geomagnetic storm. We define great geomagnetic storms as those with SYM-H -200 nT. A…
Seismogenic nodes as a viable alternative to seismogenic zones and observed seismicity for the definition of seismic hazard at regional scale
Paolo Rugarli, Franco Vaccari, Giuliano Panza
It is shown that considering a fixed increment of a given magnitude at a fault is equivalent to factoring the mechanical moment at the fault as done in structural engineering with…
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake
Lijun Zhu, Zhigang Peng, James McClellan +4
The increasing volume of seismic data from long-term continuous monitoring motivates the development of algorithms based on convolutional neural network (CNN) for faster and more r…