EGU2020-4683
https://doi.org/10.5194/egusphere-egu2020-4683
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Google Earth Engine application for mapping volcanic thermal anomalies at a global scale by means of Sentinel 2 MSI and Landsat 8 OLI data

Nicola Genzano1, Francesco Marchese2, Alfredo Falconieri2, Giuseppe Mazzeo2, and Nicola Pergola2
Nicola Genzano et al.
  • 1School of Engineering, University of Basilicata, Potenza, Italy
  • 2Institute of Methodologies for Environmental Analysis, National Research Council, Tito Scalo (PZ), Italy

NHI (Normalized Hotspot Indices) is an original multichannel algorithm recently developed for mapping volcanic thermal anomalies in daylight conditions by means of infrared Sentinel 2 MSI and Landsat 8 OLI data. The algorithm, which uses two normalized indices analyzing SWIR (Shortwave Infrared) and NIR (Near Infrared) radiances, was tested with success in different volcanic areas, assessing results by means of independent ground and satellite-based observations.

Here we present and describe the NHI-based tool, which exploits the high computation capabilities of Google Earth Engine to perform the rapid mapping of hot volcanic features at a global scale. The tool allows the users to retrieve information also about changes of thermal volcanic activity, giving the opportunity of performing time series analysis of hotspot pixel number and total SWIR radiance. Advantages of using the NHI tool as a complement to current satellite-based volcanoes monitoring systems are then analysed and discussed, such as its future upgrades.

How to cite: Genzano, N., Marchese, F., Falconieri, A., Mazzeo, G., and Pergola, N.: A Google Earth Engine application for mapping volcanic thermal anomalies at a global scale by means of Sentinel 2 MSI and Landsat 8 OLI data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4683, https://doi.org/10.5194/egusphere-egu2020-4683, 2020

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