Understanding the interactions between the anthroposphere and the geosphere, such as natural hazards, land degradation, quantitative and qualitative impacts on ground and surface waters, is a challenging task. The monitoring and modelling of these interactions can be characterized by high uncertainties in data and models, especially when considering urban areas or locations near engineering infrastructures. Technological and scientific advancements, including remote sensing, geophysical prospecting, drilling equipment, and information technology, have contributed to enhancing our current understanding of these interconnected dynamics. The availability of increasingly large datasets provides better insights into the mechanisms that govern these interactions, but it also adds complexity to monitoring, modeling, and forecasting procedures. From this viewpoint, the utilization of advanced geocomputational methodologies, such as machine learning, geostatistics, pattern recognition, geomorphometry, and other computational-based approaches, plays a pivotal role.
Editorial topic collection: "Geosphere-anthroposphere interlinked dynamics: geocomputing and new technologies"
Cavalli M;
2023
Abstract
Understanding the interactions between the anthroposphere and the geosphere, such as natural hazards, land degradation, quantitative and qualitative impacts on ground and surface waters, is a challenging task. The monitoring and modelling of these interactions can be characterized by high uncertainties in data and models, especially when considering urban areas or locations near engineering infrastructures. Technological and scientific advancements, including remote sensing, geophysical prospecting, drilling equipment, and information technology, have contributed to enhancing our current understanding of these interconnected dynamics. The availability of increasingly large datasets provides better insights into the mechanisms that govern these interactions, but it also adds complexity to monitoring, modeling, and forecasting procedures. From this viewpoint, the utilization of advanced geocomputational methodologies, such as machine learning, geostatistics, pattern recognition, geomorphometry, and other computational-based approaches, plays a pivotal role.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.