Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-10003
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Main Title: Volcanic Hot-Spot Detection Using SENTINEL-2: A Comparison with MODIS−MIROVA Thermal Data Series
Author(s): Massimetti, Francesco
Coppola, Diego
Laiolo, Marco
Valade, Sébastien
Cigolini, Corrado
Ripepe, Maurizio
Type: Article
Language Code: en
Abstract: In the satellite thermal remote sensing, the new generation of sensors with high-spatial resolution SWIR data open the door to an improved constraining of thermal phenomena related to volcanic processes, with strong implications for monitoring applications. In this paper, we describe a new hot-spot detection algorithm developed for SENTINEL-2/MSI data that combines spectral indices on the SWIR bands 8a-11-12 (with a 20-meter resolution) with a spatial and statistical analysis on clusters of alerted pixels. The algorithm is able to detect hot-spot-contaminated pixels (S2Pix) in a wide range of environments and for several types of volcanic activities, showing high accuracy performances of about 1% and 94% in averaged omission and commission rates, respectively, underlining a strong reliability on a global scale. The S2-derived thermal trends, retrieved at eight key-case volcanoes, are then compared with the Volcanic Radiative Power (VRP) derived from MODIS (Moderate Resolution Imaging Spectroradiometer) and processed by the MIROVA (Middle InfraRed Observation of Volcanic Activity) system during an almost four-year-long period, January 2016 to October 2019. The presented data indicate an overall excellent correlation between the two thermal signals, enhancing the higher sensitivity of SENTINEL-2 to detect subtle, low-temperature thermal signals. Moreover, for each case we explore the specific relationship between S2Pix and VRP showing how different volcanic processes (i.e., lava flows, domes, lakes and open-vent activity) produce a distinct pattern in terms of size and intensity of the thermal anomaly. These promising results indicate how the algorithm here presented could be applicable for volcanic monitoring purposes and integrated into operational systems. Moreover, the combination of high-resolution (S2/MSI) and moderate-resolution (MODIS) thermal timeseries constitutes a breakthrough for future multi-sensor hot-spot detection systems, with increased monitoring capabilities that are useful for communities which interact with active volcanoes.
URI: https://depositonce.tu-berlin.de/handle/11303/11113
http://dx.doi.org/10.14279/depositonce-10003
Issue Date: 3-Mar-2020
Date Available: 12-May-2020
DDC Class: 550 Geowissenschaften
Subject(s): SENTINEL-2
volcanic hot-spot detection
thermal anomalies
high-spatial resolution
volcanic activity
MODIS
MIROVA
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Remote Sensing
Publisher: MDPI
Publisher Place: Basel
Volume: 12
Issue: 5
Article Number: 820
Publisher DOI: 10.3390/rs12050820
EISSN: 2072-4292
Appears in Collections:FG Computer Vision & Remote Sensing » Publications

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