Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake
| dc.contributor.author | Qasim, Muhammad | |
| dc.contributor.author | Shah, Munawar | |
| dc.contributor.author | Shahzad, Rasim | |
| dc.contributor.author | Jamjareegulgarn, Punyawi | |
| dc.date.accessioned | 2026-08-06T10:45:14Z | |
| dc.date.available | 2026-08-06T10:45:14Z | |
| dc.date.issued | 2024-01-01 | |
| dc.description.abstract | Remote sensing has became a powerful tool for identifying lithosphere and atmosphere anomalies associated with the impending Earthquakes (EQs) in the vicinity of seismic breeding zone. In this paper, Land Surface Temperature (LST) of both the daytime and nighttime from the Moderate Resolution Imaging Spectroradiometer (MODIS) along with Air Temperature (AT), Relative Humidity (RH), Air Pressure (AP) and Outgoing Longwave Radiations (OLR) are studied for the 2020 Idaho (USA) EQ of Mw 6.5. We found the EQ induced surface and atmospheric parameters anomalies just one day prior to EQ main shock using statistical analysis. Moreover, we observed a sharp increment in LST and AT followed by the drop in both AP and RH, which are responsible for cooling the hot gases emitted from epicenter during preparation period. Also, we observed a large increase in OLR on the same day confirming these anomalous variations to be related with the main shock. Furthermore, these abrupt variations are also confirmed using neural networks (nonlinear autoregressive network with exogenous inputs (NARX), multilayer perceptron (MLP) and continuous wavelet transformation (CWT). These multi-parameter and multi-technique analyses can contribute to assist in the main shock forecasting in future with an enhanced cluster of satellite observations. | |
| dc.identifier.citation | Advances in Space Research, 73(1), 440-455, 2024 | |
| dc.identifier.doi | 10.1016/j.asr.2023.09.057 | |
| dc.identifier.issn | 02731177 | |
| dc.identifier.other | 2-s2.0-85173715687 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/15403 | |
| dc.source | Advances in Space Research | |
| dc.subject | Atmospheric anomalies | |
| dc.subject | Earthquake | |
| dc.subject | Machine learning | |
| dc.subject | Neural network | |
| dc.subject | Remote sensing | |
| dc.title | Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake | |
| dc.type | Article |