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Volume 12
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10.3390/rs12101589
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Article

Volcanic Anomalies Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images

by
Susana Layana
1,2,3,*,
Felipe Aguilera
2,3,4,
Germán Rojo
5,
Álvaro Vergara
2,
Pablo Salazar
2,3,4,
Juan Quispe
5,
Pablo Urra
6 and
Diego Urrutia
5
1
Programa de Doctorado en Ciencias mención Geología, Universidad Católica del Norte, Avenida Angamos 0610, Antofagasta 1270709, Chile
2
Núcleo de Investigación en Riesgo Volcánico–Ckelar Volcanes, Universidad Católica del Norte, Avenida Angamos 0610, Antofagasta 1270709, Chile
3
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN), Av. Vicuña Mackenna 4860, Santiago 7810000, Chile
4
Departamento de Ciencias Geológicas, Universidad Católica del Norte, Avenida Angamos 0610, Antofagasta 1270709, Chile
5
Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte, Avenida Angamos 0610, Antofagasta 1270709, Chile
6
Departamento de Geofísica, Universidad de Concepción, Avenida Esteban Urra s/n–Barrio Universitario, Concepción 4070386, Chile
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1589; https://doi.org/10.3390/rs12101589
Submission received: 15 April 2020 / Revised: 14 May 2020 / Accepted: 14 May 2020 / Published: 16 May 2020
(This article belongs to the Section Remote Sensing Image Processing)
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Abstract

The practice of monitoring active volcanoes, includes several techniques using either direct or remote measurements, the latter being more important for volcanoes with limited accessibility. We present the Volcanic Anomalies Monitoring System (VOLCANOMS), a new, online, low-cost and semiautomatic system based on Landsat imagery. This system can detect permanent and/or temporal thermal anomalies in near-infrared (NIR), short-wave infrared (SWIR), and thermal infrared (TIR) bands. VOLCANOMS allows researchers to calculate several thermal parameters, such as thermal radiance, effective temperature, anomaly area, radiative, gas, convective, and total heat, and mass fluxes. We study the eruptive activity of five volcanoes including Krakatau, Stromboli, Fuego, Villarrica and Lascar volcanoes, comparing field and eruptive data with thermal radiance. In the case of Villarrica and Lascar volcanoes, we also compare the thermal radiance and eruptive activity with seismic data. The thermal radiance shows a concordance with the eruptive activity in all cases, whereas a correlation is observed between thermal and seismic data both, in Villarrica and Lascar volcanoes, especially in the case of long-period seismicity. VOLCANOMS is a new and powerful tool that, combined with other techniques, generates robust information for volcanic monitoring.
Keywords: thermal radiance; satellite-monitoring system; volcanic imagery processing system; remote sensing; volcanic activity thermal radiance; satellite-monitoring system; volcanic imagery processing system; remote sensing; volcanic activity
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MDPI and ACS Style

Layana, S.; Aguilera, F.; Rojo, G.; Vergara, Á.; Salazar, P.; Quispe, J.; Urra, P.; Urrutia, D. Volcanic Anomalies Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images. Remote Sens. 2020, 12, 1589. https://doi.org/10.3390/rs12101589

AMA Style

Layana S, Aguilera F, Rojo G, Vergara Á, Salazar P, Quispe J, Urra P, Urrutia D. Volcanic Anomalies Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images. Remote Sensing. 2020; 12(10):1589. https://doi.org/10.3390/rs12101589

Chicago/Turabian Style

Layana, Susana, Felipe Aguilera, Germán Rojo, Álvaro Vergara, Pablo Salazar, Juan Quispe, Pablo Urra, and Diego Urrutia. 2020. "Volcanic Anomalies Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images" Remote Sensing 12, no. 10: 1589. https://doi.org/10.3390/rs12101589

APA Style

Layana, S., Aguilera, F., Rojo, G., Vergara, Á., Salazar, P., Quispe, J., Urra, P., & Urrutia, D. (2020). Volcanic Anomalies Monitoring System (VOLCANOMS), a Low-Cost Volcanic Monitoring System Based on Landsat Images. Remote Sensing, 12(10), 1589. https://doi.org/10.3390/rs12101589

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