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Satellite Remote Sensing for Volcanic Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 8686

Special Issue Editors


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Guest Editor
Istituto Di Metodologie Per L'analisi Ambientale, Tito Scalo, Tito Scalo, Italy
Interests: satellite remote sensing, earth observation, original satellite techniques

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Guest Editor
German Remote Sensing Data Center (DFD) - Geo-Risks and Civil Security, German Aerospace Center (DLR), 82234 Weßling, Germany
Interests: remote sensing of natural hazards (volcanoes, earthquakes, landslides, floods, fires); SAR polarimetry; SAR interferometry; thermal remote sensing; satellite-based monitoring of volcanoes
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Istituto Di Metodologie Per L'analisi Ambientale, Tito Scalo, Italy
Interests: satellite remote sensing of volcanoes; fires; dust outbreaks; natural hazards
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Geology and Environmental Science, University of Pittsburgh, 4107 O'Hara Street, Pittsburgh, PA 15260, USA
Interests: satellite remote sensing; physical and thermodynamic properties of volcanic products
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

According to the Global Volcanism Program (2017), there are more than 1500 active volcanoes worldwide, continuously emitting a large amount of ash, gases, and hot material, menacing the security of neighboring people, the environment, infrastructures, and air traffic. The United Nations Environment Programme (UNEP) reports that more than 26,000 people have died in volcanic disasters between 1975 and 2000. Volcanic eruptions have both social and economic impacts and, because of the increase in population worldwide, the number of people and the total cost of social infrastructure close to active volcanoes are increasing. Although significant successes have been achieved in understanding volcanoes, many crucial aspects of volcanic activity and processes still remain not fully understood. Systematic observations and continuous monitoring of volcanic activity might help in improving our knowledge and understanding of volcanic processes, in better identifying possible signs of volcanic unrest, and in properly managing and assessing the risk when an eruptive event occurs. However, many active volcanoes around the world are still inadequately or poorly monitored or not monitored at all.

Remotely sensed observations from space, offering synoptic coverage, timely and frequent sampling on large scales, and multispectral capabilities and significant cost savings compared with other observing systems and sources of information, have been largely employed for active volcano monitoring and investigations, often filling the abovementioned observational gaps. In addition to providing an actual and enhanced monitoring capability, satellite remote sensing may contribute to a better understanding of volcanic processes, providing a huge amount of data and products that can be routinely used by experts and volcanic observatories. Both passive optical instruments, including the new generation ones (e.g., Visible Infrared Imaging Radiometer Suite, Multispectral Instrument Sea and Land Surface Temperature Radiometer), and active systems (e.g., Synthetic Aperture Radar—SAR, Light detection and Ranging—LIDAR technologies) have increasingly extended the capacity in mapping and characterizing volcanic activities (e.g., lava flows, fumarole fields, deformation, eruptive plumes) better supporting traditional monitoring systems. This Special Issue focuses on innovative satellite remote sensing methodologies to study, investigate, and monitor volcanic phenomena. We encourage authors to submit original contributions on new applications and significant case studies, based on the use of satellite observations, related (but not limited) to the following main topics:   

  • Thermal volcanic activity;
  • Ash/gas emissions;
  • Deformation processes;
  • Changes of volcano topography

Contributions dealing with multiplatform observing systems and heterogeneous data integration and fusion will be particularly welcome.

Dr. Nicola Pergola
Dr. Simon Plank
Dr. Francesco Marchese
Prof. Michael Ramsey
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Remote sensing
  • Earth observation
  • Volcanoes
  • Eruptions
  • Deformation
  • Volcanic ash
  • Lava flows

Published Papers (3 papers)

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Research

16 pages, 5195 KiB  
Article
Detection of Geothermal Anomalies in Hydrothermal Systems Using ASTER Data: The Caldeiras da Ribeira Grande Case Study (Azores, Portugal)
by Jéssica Uchôa, Fátima Viveiros, Rafaela Tiengo and Artur Gil
Sensors 2023, 23(4), 2258; https://0-doi-org.brum.beds.ac.uk/10.3390/s23042258 - 17 Feb 2023
Cited by 1 | Viewed by 2190
Abstract
Current-day volcanic activity in the Azores archipelago is characterized by seismic events and secondary manifestations of volcanism. Remote sensing techniques have been widely employed to monitor deformation in volcanic systems, map lava flows, or detect high-temperature gas emissions. However, using satellite imagery, it [...] Read more.
Current-day volcanic activity in the Azores archipelago is characterized by seismic events and secondary manifestations of volcanism. Remote sensing techniques have been widely employed to monitor deformation in volcanic systems, map lava flows, or detect high-temperature gas emissions. However, using satellite imagery, it is still challenging to identify low-magnitude thermal changes in a volcanic system. In 2010, after drilling a well for geothermal exploration on the northern flank of Fogo Volcano on São Miguel Island, a new degassing and thermal area emerged with maximum temperatures of 100 °C. In the present paper, using the ASTER sensor, we observed changes in the near-infrared signals (15 m spatial resolution) six months after the anomaly emerged. In contrast, the thermal signal (90 m spatial resolution) only changed its threshold value one and a half years after the anomaly was recognized. The results show that wavelength and spatial resolution can influence the response time in detecting changes in a system. This paper reiterates the importance of using thermal imaging and high spatial resolution images to monitor and map thermal anomalies in hydrothermal systems such as those found in the Azores. Full article
(This article belongs to the Special Issue Satellite Remote Sensing for Volcanic Applications)
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16 pages, 5016 KiB  
Article
Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives
by Giuseppe Mazzeo, Micheal S. Ramsey, Francesco Marchese, Nicola Genzano and Nicola Pergola
Sensors 2021, 21(4), 1538; https://0-doi-org.brum.beds.ac.uk/10.3390/s21041538 - 23 Feb 2021
Cited by 10 | Viewed by 3078
Abstract
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App developed to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral Instrument (MSI) and the Operational Land Imager [...] Read more.
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App developed to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral Instrument (MSI) and the Operational Land Imager (OLI), respectively, onboard the Sentinel 2 and Landsat 8 satellites. The NHI tool offers the possibility of ingesting data from other sensors. In this direction, we tested the NHI algorithm for the first time on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. In this study, we show the results of this preliminary implementation, achieved investigating the Kilauea (Hawaii, USA), Klyuchevskoy (Kamchatka; Russia), Shishaldin (Alaska; USA), and Telica (Nicaragua) thermal activities of March 2000–2008. We assessed the NHI detections through comparison with the ASTER Volcano Archive (AVA), the manual inspection of satellite imagery, and the information from volcanological reports. Results show that NHI integrated the AVA observations, with a percentage of unique thermal anomaly detections ranging between 8.8% (at Kilauea) and 100% (at Shishaldin). These results demonstrate the successful NHI exportability to ASTER data acquired before the failure of SWIR subsystem. The full ingestion of the ASTER data collection, available in GEE, within the NHI tool allows us to develop a suite of multi-platform satellite observations, including thermal anomaly products from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+), which could support the investigation of active volcanoes from space, complementing information from other systems. Full article
(This article belongs to the Special Issue Satellite Remote Sensing for Volcanic Applications)
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21 pages, 8348 KiB  
Article
Enhanced Accuracy of Airborne Volcanic Ash Detection Using the GEOKOMPSAT-2A Satellite
by Soi Ahn, Joon-Bum Jee, Kyu-Tae Lee and Hyun-Jong Oh
Sensors 2021, 21(4), 1359; https://0-doi-org.brum.beds.ac.uk/10.3390/s21041359 - 15 Feb 2021
Cited by 3 | Viewed by 2371
Abstract
In this study, a technique facilitating the enhanced detection of airborne volcanic ash (VA) has been developed, which is based on the use of visible (VIS), near-infrared (NIR), and infrared (IR) bands by meteorological satellite systems. Channels with NIR and IR bands centered [...] Read more.
In this study, a technique facilitating the enhanced detection of airborne volcanic ash (VA) has been developed, which is based on the use of visible (VIS), near-infrared (NIR), and infrared (IR) bands by meteorological satellite systems. Channels with NIR and IR bands centered at ~3.8, 7.3, 8.7, 10.5, and 12.3 μm are utilized, which enhances the accuracy of VA detection. The technique is based on two-band brightness temperature differences (BTDs), two-band brightness temperature ratios (BTRs), and background image BTDs. The physical effects of the observed BTDs and BTRs, which can be used to distinguish VA from meteorological clouds based on absorption differences, depend on the channel and time of day. The Advanced Meteorological Imager onboard the GEOKOMPSAT-2A (GK-2A) satellite has several advantages, including the day- and nighttime detection of land and ocean. Based on the GK-2A data on several volcanic eruptions, multispectral data are more sensitive to volcanic clouds than ice and water clouds, ensuring the detection of VA. They can also be used as an input to provide detailed information about volcanoes, such as the height of the VA layer and VA mass. The GK-2A was optimized, and an improved ash algorithm was established by focusing on the volcanic eruptions that occurred in 2020. In particular, the 3.8 μm band was utilized, the threshold was changed by division between day and night, and efforts were made to reduce the effects of clouds and the discontinuity between land and ocean. The GK-2A imagery was used to study volcanic clouds related to the eruptions of Taal, Philippines, on 12 January and Nishinoshima, Japan, from 30 July–2 August to demonstrate the applicability of this product during volcanic events. The improved VA product of GK-2A provides vital information, helping forecasters to locate VA as well as guidance for the aviation industry in preventing dangerous and expensive interactions between aircrafts and VA. Full article
(This article belongs to the Special Issue Satellite Remote Sensing for Volcanic Applications)
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