Mapping and characterizing the Kīlauea (Hawaiʻi) lava lake through Sentinel-2 MSI and Landsat-8 OLI observations of December 2020–February 2021. (February 2022)

• Record Type: Journal Article
• Authors: Marchese, Francesco; Genzano, Nicola; Nolde, Michael; Falconieri, Alfredo; Pergola, Nicola; Plank, Simon
• Is Part Of: Environmental modelling & software. Volume 148(2022)
• Publication Date: 2022-02
• Subjects: Kilauea -- Lava lake -- Sentinel-2 -- Landsat-8 -- Normalized hotspot indices -- Google Earth Engine; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105273
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: On December 20, 2020, a new eruption started at Kīlauea volcano (Hawaiʻi, USA). During the eruption, the lava cascaded into the summit water lake, generating a vigorous steam plume and forming a new lava lake at the base of the crater. In this study, we investigate the lava lake through the Normalized Hot Spot Indices (NHI) algorithm. The latter runs operationally within a Google Earth Engine (GEE) App (NHI tool), using Operational Land Imager (OLI) and Multispectral Instrument (MSI) data, to map volcanic thermal anomalies at global scale. Results show that the used algorithm provided information about the lava lake and relative space-time variations in agreement with field observations. By correcting daytime data for the influence of the solar irradiation, we estimated values of the radiant flux in the range 1–5 GW from hottest pixels. This study opens some challenging scenarios about the quantitative characterization of volcanic thermal features through the NHI tool. Highlights: A Google Earth Engine App is used to investigate the 2020–2021 Kilauea lava lake. Sentinel-2 MSI and Landsat-8 OLI time-series are analyzed. Estimates of radiant flux from MSI and OLI are compared to MODIS and VIIRS. Results show the contribution of S2-MSI and L8-OLI data in monitoring the Kilauea.