The purpose of this session is to present recent advances in the analysis of environmental contaminations using Applied Geophysics, Remote Sensing and Artificial Intelligence approaches.
Characterizing and understanding the surface and subsurface is a challenge for many scientific areas.
The risk assessment of a contaminated place, using traditional procedures, implies soil and water sampling to proceed to chemical analysis to quantify heavy metals. This is very expensive and time-consuming task.
Remote sensing methods can be applied as previous steps of the traditional approaches to define places to create classification maps, to know where the most contaminated sites are.
Applied Geophysics investigates underground using a variety of non-invasive and non-destructive techniques such as ground-penetrating radar, magnetics, electrical resistivity tomography, electromagnetic induction, and seismics. Remote Sensing uses methods such as photogrammetry, LIDAR, GNSS, and satellite hyperspectral data to determine physical properties at a distance. Some Remote Sensing technologies can also give information from the subsurface or the interior of structures. Artificial Intelligence can be a useful tool to manage information using as inputs data provided by different methods that can help in the calculation of contamination maps.
Knowledge in these fields can be applied to a variety of research topics, combining all-together results of several fields like the mentioned above, using Artificial Intelligence. This can enable the development of integrated tools for optimized environmental management, enabling the automated identification of risk areas and promoting the reduction of sampling and operational costs, as well as reducing assessment times in the management of contaminated areas.
This approach has great potential for replication to other contamination problems, such as those produced by industrial waste, landfills, as well as intensive agriculture.
This session will collect the contributions from Applied Geophysics, Remote Sensing and Artificial Intelligence in the following topics:
- Environmental studies: characterization of the soil and water contamination by heavy metals in mining places, industrial waste, landfills and intensive agriculture.
- Innovations in data acquisition, processing approaches, and big data management of Geophysical, Remote Sensing and AI methods.