Advancing Volcanic Activity Monitoring: A Near-Real-Time Approach with Remote Sensing Data Fusion for Radiative Power Estimation

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2879 - 2879

Published: Aug. 7, 2024

The global, near-real-time monitoring of volcano thermal activity has become feasible through infrared sensors on various satellite platforms, which enable accurate estimations volcanic emissions. Specifically, these facilitate reliable estimation Volcanic Radiative Power (VRP), representing the heat radiated during activity. A critical factor influencing VRP estimates is identification hotspots in imagery, typically based intensity. Different employ unique algorithms due to their distinct characteristics. Integrating data from multiple sources, each with different spatial and spectral resolutions, offers a more comprehensive analysis than using individual sources alone. We introduce an innovative Remote Sensing Data Fusion (RSDF) algorithm, developed within Cloud Computing environment that provides scalable, on-demand computing resources services via internet, monitor locally multispectral sensors: polar-orbiting Moderate Resolution Imaging Spectroradiometer (MODIS), Sea Land Surface Temperature Radiometer (SLSTR), Visible Infrared Suite (VIIRS), along geostationary Spinning Enhanced InfraRed Imager (SEVIRI). describe demonstrate operation this algorithm recent eruptive activities at Etna Stromboli volcanoes. RSDF leveraging both intensity features, demonstrates heightened sensitivity detecting high-temperature thereby improving compared conventional pre-processed products available online. overall accuracy increased significantly, omission rate dropping 75.5% 3.7% false detection decreasing 11.0% 4.3%. proposed multi-sensor approach markedly enhances ability analyze

Language: Английский

A review of infrared and Raman spectroscopy in the geosciences

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 723 - 787

Published: Sept. 10, 2024

Language: Английский