Monitoring of the 2015 Villarrica Volcano Eruption by Means of DLR’s Experimental TET-1 Satellite

Plank, Simon; Nolde, Michael; Richter, Rudolf; Fischer, Christian; Martinis, Sandro; Riedlinger, Torsten; Schöepfer, Elisabeth; Klein, Doris

doi:10.3390/rs10091379

Cited by 7 publications

(10 citation statements)

References 38 publications

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“…This mean output rate is higher than the mean output rates reported for the 2002-2003 (0.32 ± 0.28 m 3 /s) [11] and the 2014 effusive eruptions (ca. 0.87 m 3 /s [29]), but is lower than the mean output rate reported for the 2007 event (ca. 2.4 m 3 /s [12]).…”

Section: Discussionmentioning

confidence: 58%

“…Hotspot detection algorithms were also developed for processing data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), as shown for example by the ASTER Volcano Archive [26] and by the ASTER Volcanic Thermal Output Database for Latin American Volcanoes [27]. Data from high resolution experimental sensors onboard small satellites, such as the German Aerospace Center (DLR) FireBIRD mission, were analyzed for monitoring the 2014 effusive eruption of Stromboli, Italy [28] and the 2015 eruption of Villarrica Volcano, Chile [29].…”

Section: Infrared Satellite-based Volcano Monitoringmentioning

confidence: 99%

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The July/August 2019 Lava Flows at the Sciara del Fuoco, Stromboli–Analysis from Multi-Sensor Infrared Satellite Imagery

et al. 2019

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On 3 July 2019 a rapid sequence of paroxysmal explosions at the summit craters of Stromboli (Aeolian-Islands, Italy) occurred, followed by a period of intense Strombolian and effusive activity in July, and continuing until the end of August 2019. We present a joint analysis of multi-sensor infrared satellite imagery to investigate this eruption episode. Data from the Spinning-Enhanced-Visible-and-InfraRed-Imager (SEVIRI) was used in combination with those from the Multispectral-Instrument (MSI), the Operational-Land-Imager (OLI), the Advanced-Very High-Resolution-Radiometer (AVHRR), and the Visible-Infrared-Imaging-Radiometer-Suite (VIIRS). The analysis of infrared SEVIRI-data allowed us to detect eruption onset and to investigate short-term variations of thermal volcanic activity, providing information in agreement with that inferred by nighttime-AVHRR-observations. By using Sentinel-2-MSI and Landsat-8-OLI imagery, we better localized the active lava-flows. The latter were quantitatively characterized using infrared VIIRS-data, estimating an erupted lava volume of 6.33×106±3.17×106 m3 and a mean output rate of 1.26 ± 0.63 m3/s for the July/August 2019 eruption period. The estimated mean-output-rate was higher than the ones in the 2002–2003 and 2014 Stromboli effusive eruptions, but was lower than in the 2007-eruption. These results confirmed that a multi-sensor-approach might provide a relevant contribution to investigate, monitor and characterize thermal volcanic activity in high-risk areas.

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Section: Discussionmentioning

confidence: 58%

Section: Infrared Satellite-based Volcano Monitoringmentioning

confidence: 99%

The July/August 2019 Lava Flows at the Sciara del Fuoco, Stromboli–Analysis from Multi-Sensor Infrared Satellite Imagery

et al. 2019

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“…Wright et al, 2010;Favalli et al, 2012;Wadge et al, 2012;Head et al, 2013. Hubbard et al, 2003;Rowan et al, 2003;Watanabe & Matsue, 2003;Byrnes et al, 2004: Torres et al, 2004Dmochowski, 2005;Capra, 2006;Mars & Rowan, 2005;Rowan et al, 2006;Coolbaugh et al, 2007;Davila et al, 2007;Hubbard et al, 2007;Kervyn et al, 2007;Carter et al, 2008;Kervyn et al, 2008c;Saepuloh et al, 2008;Schneider et al, 2008;Carter & Ramsey, 2009;Baliatan & Obille, 2009;Bogie et al, 2010;Brandmeier, 2010;Kobayashi et al, 2010a;Piscini et al, 2010;Chadwick et al, 2011;Davila-Hernandez et al, 2011;Wadge & Burt, 2011;Wantim et al, 2011;Diaz-Castellon et al, 2012;Graettinger et al, 2013;Lara et al, 2013;Watt et al, 2013;Boyce et al, 2014;Mars, 2014;Tayebi et al, 2014;Castruccia & Clavero, 2015;Selles et al, 2015;Folguera et al, 2016;Oikonomidis et al, 2016;Prambada et al, 2016;Suminar et...…”

Section: Geothermalunclassified

The Spatial and Spectral Resolution of ASTER Infrared Image Data: A Paradigm Shift in Volcanological Remote Sensing

Ramsey

Flynn

2020

Remote Sensing

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During the past two decades, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on the Terra satellite has acquired nearly 320,000 scenes of the world’s volcanoes. This is ~10% of the data in the global ASTER archive. Many of these scenes captured volcanic activity at never before seen spatial and spectral scales, particularly in the thermal infrared (TIR) region. Despite this large archive of data, the temporal resolution of ASTER is simply not adequate to understand ongoing eruptions and assess the hazards to local populations in near real time. However, programs designed to integrate ASTER into a volcanic data sensor web have greatly improved the cadence of the data (in some cases, to as many as 3 scenes in 48 h). This frequency can inform our understanding of what is possible with future systems collecting similar data on the daily or hourly time scales. Here, we present the history of ASTER’s contributions to volcanology, highlighting unique aspects of the instrument and its data. The ASTER archive was mined to provide statistics including the number of observations with volcanic activity, its type, and the average cloud cover. These were noted for more than 2000 scenes over periods of 1, 5 and 20 years.

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“…These data were correlated to precede an explosive eruption or a magmatic intrusion. In [28], some thermal anomalies were detected nine days before the eruption of Villarrica Volcano, by taking satellite images acquired from Technology Experiment Carrier-1 (TET-1). Images from TET-1 were corrected based on look-up tables derived from the radiative transfer code of MODTRAN-5, to attenuate differences produced by atmospheric water vapor.…”

Section: Introductionmentioning

confidence: 99%

“…Next, the temperature, area coverage, and radiant power of the detected thermal hotspots were derived at the subpixel level. The core of the proposals in [26][27][28] was the use of infrared or thermal imaging techniques. Nevertheless, in volcanic ash clouds, the magnitude of the apparent temperature difference depends on the optical thickness, water content, and sulfuric acid concentration, in addition to the particle size and their distribution [19,29,30].…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Imaging Retrieval Using MODIS Satellite Sensors Applied to Volcanic Ash Clouds Monitoring

et al. 2019

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In this paper, we present a method for hyperspectral retrieval using multispectral satellite images. The method consists of the use of training spectral data with a compressive capability. By using principal component analysis (PCA), a proper number of basis vectors are extracted. These vectors are properly combined and weighted by the sensors’ responses from visible MODIS channels, achieving as a result the retrieval of hyperspectral images. Once MODIS channels are used for hyperspectral retrieval, the training spectra are projected over the recovered data, and the ground-based process used for training can be reliably detected. To probe the method, we use only four visible images from MODIS for large-scale ash clouds’ monitoring from volcanic eruptions. A high-spectral resolution data of reflectances from ash was measured in the laboratory. Using PCA, we select four basis vectors, which combined with MODIS sensors responses, allows estimating hyperspectral images. By comparing both the estimated hyperspectral images and the training spectra, it is feasible to identify the presence of ash clouds at a pixel-by-pixel level, even in the presence of water clouds. Finally, by using a radiometric model applied over hyperspectral retrieved data, the relative concentration of the volcanic ash in the cloud is obtained. The performance of the proposed method is compared with the classical method based on temperature differences (using infrared MODIS channels), and the results show an excellent match, outperforming the infrared-based approach. This proposal opens new avenues to increase the potential of multispectral remote systems, which can be even extended to other applications and spectral bands for remote sensing. The results show that the method could play an essential role by providing more accurate information of volcanic ash spatial dispersion, enabling one to prevent several hazards related to volcanic ash where volcanoes’ monitoring is not feasible.

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Monitoring of the 2015 Villarrica Volcano Eruption by Means of DLR’s Experimental TET-1 Satellite

Cited by 7 publications

References 38 publications

The July/August 2019 Lava Flows at the Sciara del Fuoco, Stromboli–Analysis from Multi-Sensor Infrared Satellite Imagery

The July/August 2019 Lava Flows at the Sciara del Fuoco, Stromboli–Analysis from Multi-Sensor Infrared Satellite Imagery

The Spatial and Spectral Resolution of ASTER Infrared Image Data: A Paradigm Shift in Volcanological Remote Sensing

Hyperspectral Imaging Retrieval Using MODIS Satellite Sensors Applied to Volcanic Ash Clouds Monitoring

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