A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment

M Shafapourtehrany, M Batur, F Shabani, B Pradhan… - Remote Sensing, 2023 - mdpi.com
The level of destruction caused by an earthquake depends on a variety of factors, such as
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …

Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

M Zhang, S Tan, C Zhang, E Chen - Sustainable Cities and Society, 2024 - Elsevier
Land use practices in urban areas exert a profound influence on the urban thermal
environment and the pursuit of sustainable development. This paper aims to investigate and …

Deep machine learning based possible atmospheric and Ionospheric precursors of the 2021 Mw 7.1 Japan earthquake

MU Draz, M Shah, P Jamjareegulgarn, R Shahzad… - Remote Sensing, 2023 - mdpi.com
Global Navigation Satellite System (GNSS)-and Remote Sensing (RS)-based Earth
observations have a significant approach on the monitoring of natural disasters. Since the …

Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites

MM Khan, B Ghaffar, R Shahzad, MR Khan, M Shah… - Sustainability, 2022 - mdpi.com
The remote sensing-based Earth satellites has become a beneficial instrument for the
monitoring of natural hazards. This study includes a multi-sensors analysis to estimate the …

Possible seismo-ionospheric anomalies associated with Mw> 5.0 earthquakes during 2000–2020 from GNSS TEC

M Shah, A Abbas, MA Adil, U Ashraf… - Advances in Space …, 2022 - Elsevier
The recent advances in space-based ionosphere measurements provide more detailed
information about transient ionospheric anomalies associated with earthquakes (EQs). In …

Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models

S Kartal, A Sekertekin - Environmental Science and Pollution Research, 2022 - Springer
Land surface temperature (LST) prediction is of great importance for climate change,
ecology, environmental and industrial studies. These studies require accurate LST map …

Integrated Analysis of Lithosphere-Atmosphere-Ionospheric Coupling Associated with the 2021 Mw 7.2 Haiti Earthquake

F Shahzad, M Shah, S Riaz, B Ghaffar, I Ullah… - Atmosphere, 2023 - mdpi.com
The search for Earthquake (EQ) precursors in the ionosphere and atmosphere from satellite
data has provided significant information about the upcoming main shock. This study …

Atmospheric and ionospheric precursors associated with Mw≥ 6.5 earthquakes from multiple satellites

MS Satti, M Ehsan, A Abbas, M Shah… - Journal of Atmospheric …, 2022 - Elsevier
The ionospheric monitoring satellites aid in correlating the lithospheric variation in
ionosphere through Lithosphere-Atmosphere-Ionosphere coupling (LAIC) over the epicenter …

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 …

Possible thermal anomalies associated with global terrestrial earthquakes during 2000–2019 based on MODIS-LST

M Shah, M Ehsan, A Abbas, A Ahmed… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The recent advances in satellite-based earthquakes (EQs) precursors provide an
opportunity to correlate the seismic variation on lithosphere with atmosphere during the EQ …