Mapping and characterizing the Kilauea (Hawai'i) lava lake through Sentinel-2 MSI and Landsat-8 OLI observations of December 2020-February 2021

被引:10
|
作者
Marchese, Francesco [1 ]
Genzano, Nicola [2 ]
Nolde, Michael [3 ]
Falconieri, Alfredo [1 ]
Pergola, Nicola [1 ]
Plank, Simon [3 ]
机构
[1] CNR, Inst Methodol Environm Anal, I-85050 Potenza, Italy
[2] Univ Basilicata, Sch Engn, I-85100 Potenza, Italy
[3] German Aerosp Ctr DLR, German Remote Sensing Data Ctr, D-82234 Oberpfaffenhofen, Germany
关键词
Kilauea; Lava lake; Sentinel-2; Landsat-8; Normalized hotspot indices; Google Earth Engine; ASTER; SATELLITE; VOLCANO; MODIS; EARTH; TEMPERATURE; ALGORITHM; ANOMALIES; PLATFORM; HOTSPOTS;
D O I
10.1016/j.envsoft.2021.105273
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
On December 20, 2020, a new eruption started at Kilauea volcano (Hawai'i, 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.
引用
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页数:12
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