Plank, Simon and Hedelt, Pascal and Paproth, Carsten and Fischer, Christian and Kerr, Gregoire and Twele, André and Martinis, Sandro (2016) Monitoring of active volcanoes by means of multi-sensor remote sensing – a case study of the 2014/15 Holuhraun fissure eruption. The 2nd Workshop on the Physics of Volcanoes, 4. März 2016, Mainz, Deutschland.
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Abstract
The Holuhraun fissure eruption in 2014/15 is one of the largest volcanic events in modern Icelandic history. The fissure eruption is a dike intrusion that originated from the Bardarbunga Volcano. In this contribution a combined analysis of multi-sensor remote sensing data monitoring this large volcanic eruption is presented. SO2 and BrO total columns are retrieved from the ultraviolet spectrometer GOME-2 onboard the polar satellites MetOp-A and -B. The sensor measures Earthshine reflectances from nadir-view scans on a daily basis. The atmospheric trace gas retrieval is operationally performed in near-real time (i.e. within 2 hours after measurement) based on the differential optical absorption spectroscopy (DOAS) method in the UV wavelength range. BrO and especially SO2 emissions showed a strong increase when the fissure first erupted in late August 2014. The comparison with Earth Observation satellite imagery of higher spatial resolution showed a strong correlation between the area covered by lava and the amount of SO2 emission. A time series of synthetic aperture radar (SAR) imagery acquired by Sentinel-1 and TerraSAR-X as well as a dataset of Landsat-8 daytime acquisitions was used to monitor the temporal evolution of the lava extent. In addition, very high spatial resolution optical imagery of WorldView-2 and -3 were used for very detailed investigations of the spatio-temporal evolution of the lava extent. Monitoring the hot spot development, datasets of the MODIS fire product have been used and nighttime acquisitions of Landsat-8 as well as imagery of the first satellite of DLR’s FireBIRD mission (TET-1 – Technology Experiment Carrier) were exploited to measure the temperature of the lava over time. The mid-wave infrared channel of TET is ideal for the detection of high temperature events. By additionally interpreting the long-wave infrared channel of TET, it is possible to estimate the kinetic temperature and area of high temperature events simultaneously.
Item URL in elib: | https://elib.dlr.de/103310/ | ||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||
Title: | Monitoring of active volcanoes by means of multi-sensor remote sensing – a case study of the 2014/15 Holuhraun fissure eruption | ||||||||||||||||||||||||
Authors: |
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Date: | 4 March 2016 | ||||||||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
Keywords: | Volcano, Monitoring, Remote Sensing, TET, GOME-2, SAR | ||||||||||||||||||||||||
Event Title: | The 2nd Workshop on the Physics of Volcanoes | ||||||||||||||||||||||||
Event Location: | Mainz, Deutschland | ||||||||||||||||||||||||
Event Type: | Workshop | ||||||||||||||||||||||||
Event Dates: | 4. März 2016 | ||||||||||||||||||||||||
Organizer: | Universität Mainz, Universität Heidelberg, Max-Planck Institut für Chemie (Mainz) | ||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Zivile Kriseninformation und Georisiken (old) | ||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security German Remote Sensing Data Center > Land Surface Remote Sensing Technology Institute > Atmospheric Processors | ||||||||||||||||||||||||
Deposited By: | Plank, Simon Manuel | ||||||||||||||||||||||||
Deposited On: | 07 Mar 2016 09:40 | ||||||||||||||||||||||||
Last Modified: | 20 Dec 2016 11:51 |
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