Ionospheric–thermospheric responses to geomagnetic storms from multi-instrument space weather data

R Shahzad, M Shah, MA Tariq, A Calabia… - Remote Sensing, 2023 - mdpi.com
We analyze vertical total electron content (vTEC) variations from the Global Navigation
Satellite System (GNSS) at different latitudes in different continents of the world during the …

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

SF Haider, M Shah, B Li, P Jamjareegulgarn… - Remote Sensing, 2024 - mdpi.com
Earth observations from remotely sensed data have a substantial impact on natural hazard
surveillance, specifically for earthquakes. The rapid emergence of diverse earthquake …

Machine-learning-based lithosphere-atmosphere-ionosphere coupling associated with Mw> 6 earthquakes in America

M Shah, R Shahzad, P Jamjareegulgarn, B Ghaffar… - Atmosphere, 2023 - mdpi.com
The identification of atmospheric and ionospheric variations through multiple remote
sensing and global navigation satellite systems (GNSSs) has contributed substantially to the …

A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content

H Uyanık, E Şentürk, MH Akpınar, STA Ozcelik… - Remote Sensing, 2023 - mdpi.com
Earthquakes occur all around the world, causing varying degrees of damage and
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …

A comprehensive study on the synchronized outgoing longwave radiation and relative humidity anomalies related to global Mw≥ 6.5 earthquakes

M Shah, MU Draz, T Saleem - Natural Hazards, 2024 - Springer
Remote Sensing (RS) provides significant insights for the monitoring of natural disasters like
earthquakes for pre-and post-seismic precursors around the seismogenic regions. The …

Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake

M Qasim, M Shah, R Shahzad… - Advances in Space …, 2024 - Elsevier
Remote sensing has became a powerful tool for identifying lithosphere and atmosphere
anomalies associated with the impending Earthquakes (EQs) in the vicinity of seismic …

A Bayesian Approach for Forecasting the Probability of Large Earthquakes Using Thermal Anomalies from Satellite Observations

Z Jiao, X Shan - Remote Sensing, 2024 - mdpi.com
Studies have demonstrated the potential of satellite thermal infrared observations to detect
anomalous signals preceding large earthquakes. However, the lack of well-defined …

Pre-earthquake ionospheric perturbation analysis using deep learning techniques

M Saqib, MA Adil, M Freeshah - Advances in Geomatics, 2023 - aigjournal.com
It has been observed in many studies that ionosphere create a significant perturbation
before major earthquakes. Therefore, forecasting of earthquakes on the basis of the …

Possible atmospheric-ionospheric precursors of the 2020 Hotan China earthquake from various satellites

A Hameed, M Shah, B Ghaffar, S Riaz… - Advances in Space …, 2024 - Elsevier
The Earthquake (EQ) precursors through satellites data portray an image of the energy
propagation from lithosphere to atmosphere and then ionosphere. The lack in previous …

Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity

M Saqib, E Şentürk, MA Adil, M Freeshah - Advances in Space Research, 2024 - Elsevier
Several efforts have been made to understand the complex physical processes involved in a
seismic process, but the findings are vague considering prediction capabilities …