GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 1.2 GNGTS 2024 An innovatve system for the worldwide monitoring of volcanic thermal anomalies through Sentnel-2 and Landsat 8/9 data integraton F. Marchese 1,3 , N. Genzano 2,3 , N. Pergola 1,3 , 1 Insttute of Methodologies for Environmental Analysis (IMAA)- Natonal Research Council (CNR), 85050 Tito Scalo (Italy) 2 School of Engineering (SI) - University of Basilicata (UNIBAS), 85100 Potenza (Italy) 3 Space Technologies and Applicaton Centre, Potenza, Italy The NHI (Normalized Hotspot Indices) algorithm was developed to map high-temperature volcanic features through the analysis of near infrared (NIR) and shortwave infrared (SWIR) data, at mid- high spatal resoluton (up to 20 m), from the Operatonal Land Imager (OLI) and the Multspectral Instrument (MSI), respectvely aboard the Landsat-8/9 and Sentnel-2A/B satellites. The algorithm was then implemented within the Google Earth Engine (GEE) platorm, which ofers an extended dataset of geospatal data together with high computatonal resources. The developed GEE App enables the analysis of volcanic thermal anomalies at global scale, in terms of hotspot number, total SWIR radiance and hotspot area, without requiring any authentcaton from the users. The NHI tool/system then provides automated notfcatons about recent (over the past 48 hours) volcanic thermal actvity globally, exploitng the increased temporal coverage of the combined Sentnel-2 and Landsat 8/9 observatons. In this work, we present the NHI tool, and some recent results achieved by investgatng eruptons occurred at diferent volcanoes (e.g., Mauna Loa, Kilauea, Ambrym, Etna). These results, providing accurate informaton about locaton, intensity, and spatal extent of hot targets (e.g., lava fows/lakes), which may be further enriched by quanttatve characterizaton (e.g., in terms of volcanic radiatve power), demonstrate the relevance of the developed GEE-App in the operatonal monitoring of actve volcanoes, as a complement to the informaton provided by satellite systems ofering higher temporal/lower spatal resoluton products. References Genzano, N.; Pergola, N.; Marchese, F.; 2020. A Google Earth Engine tool to investgate, map and monitor volcanic thermal anomalies at global scale by means of mid-high spatal resoluton satellite data. Remote Sensing, 12(19), 3232. Marchese, F.; Genzano, N.; Neri, M.; Falconieri, A.; Mazzeo, G.; Pergola, N.; 2019. A mult-channel algorithm for mapping volcanic thermal anomalies by means of Sentnel-2 MSI and Landsat-8 OLI data. Remote Sensing, 11(23), 2876.