Signal processing in geosciences involves the application of techniques to analyze and interpret data collected from the Earth's surface and subsurface. This field plays a crucial role in various geoscience disciplines, such as seismology, geophysics, and remote sensing. Techniques like filtering, spectral analysis, and wavelet transforms are used to enhance signals and extract meaningful information from seismic waves, electromagnetic data, and satellite imagery. By processing signals, geoscientists can map subsurface structures, monitor natural hazards like earthquakes and tsunamis, and study environmental changes over time. Signal processing not only improves the quality and resolution of data but also enables deeper insights into Earth's dynamic processes, aiding in better resource management and hazard mitigation strategies.
Title : Geotechnical ground investigation
Myint Win Bo, Toronto Metropolitan University , Canada
Title : Simultaneous Global Climate Change "Heat Waves" and microwave and radio-wave from Solar Flares
Shozo Yanagida, Osaka University, Japan
Title : How subsurface waters record the earth’s history
Leonid Anisimov, Volgograd State University, Russian Federation
Title : Landslides.Rainfall one of the main triggering factors in the mountainous regions of Puebla, Mexico.
Oscar Andres Cuanalo Campos, Universidad Popular Autónoma del Estado de Puebla, Mexico
Title : Geo Education exploratory learning sessions on field and underwater
Martina Gaglioti, LIPU, Italy
Title : Linking between color and element concentration for Fluorite: An optical spectroscopic approach
Ali Almohammed, Pandit Deendayal Energy University, India