Xiangwei Zhao, Shun Pan, Zhongchang Sun, Huadong Guo, Lei Zhang, Kang Feng, “Advances of Satellite Remote Sensing Technology in Earthquake Prediction”, Nat. Hazards Rev., 22, no. 1, 2021, 03120001
M. Senthil Kumar, N. Venkatanathan, “Exploring the Link Between Seismic and Atmospheric Parameters Using Spatio Temporal Analysis: Implications for Earthquake Forecasting”, Pure Appl. Geophys., 2024
Jyh-Woei Lin, “An adaptive Butterworth spectral-based graph neural network for detecting ionospheric total electron content precursor prior to the Wenchuan earthquake on 12 May 2008”, Geocarto International, 37, no. 26, 2022, 14292
Irfan Mahmood, “Anomalous variations of air temperature prior to earthquakes”, Geocarto International, 36, no. 12, 2021, 1396
Muhammad Muzamil Khan, Bushra Ghaffar, Rasim Shahzad, M. Riaz Khan, Munawar Shah, Ali H. Amin, Sayed M. Eldin, Najam Abbas Naqvi, Rashid Ali, “Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites”, Sustainability, 14, no. 22, 2022, 14782
Dedalo Marchetti, “Observation of the Preparation Phase Associated with Mw = 7.2 Haiti Earthquake on 14 August 2021 from a Geophysical Data Point of View”, Geosciences, 14, no. 4, 2024, 96
Yingbo Yue, Fuchun Chen, Guilin Chen, “Pre-Seismic Anomaly Detection from Multichannel Infrared Images of FY-4A Satellite”, Remote Sensing, 15, no. 1, 2023, 259
Mehdi Akhoondzadeh, Angelo De Santis, Dedalo Marchetti, Xuhui Shen, “Swarm-TEC Satellite Measurements as a Potential Earthquake Precursor Together With Other Swarm and CSES Data: The Case of Mw7.6 2019 Papua New Guinea Seismic Event”, Front. Earth Sci., 10, 2022, 820189
Hanshuo Zhang, Kaiguang Zhu, Yuqi Cheng, Dedalo Marchetti, Wenqi Chen, Mengxuan Fan, Siyu Wang, Ting Wang, Donghua Zhang, Yiqun Zhang, “Atmospheric and Ionospheric Effects of La Palma Volcano 2021 Eruption”, Atmosphere, 14, no. 8, 2023, 1198
Bikash Sadhukhan, Shayak Chakraborty, Somenath Mukherjee, Raj Kumar Samanta, “Climatic and seismic data-driven deep learning model for earthquake magnitude prediction”, Front. Earth Sci., 11, 2023, 1082832