2008
DOI: 10.1016/j.jvolgeores.2008.02.010
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Multi-instrument remote and in situ observations of the Erebus Volcano (Antarctica) lava lake in 2005: A comparison with the Pele lava lake on the jovian moon Io

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Cited by 46 publications
(44 citation statements)
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“…Considering Wien's law, it is also possible to detect and quantify volcanic thermal anomalies even if they do not cover an entire satellite pixel. The detected thermal anomalies are usually quantified by their temperature, area, volcanic radiant power (VRP), or time averaged lava discharge rate (TADR) [14][15][16][17][18][19][20][21][22][23][24]. The uncertainty of single measured spectral radiances depends on numerous factors such as different sensor's point spread function and spectral response functions, different time of overpass, orbit geometry, and spatial resolution [25,26].…”
Section: Thermal Observations Of Active Volcanoesmentioning
confidence: 99%
“…Considering Wien's law, it is also possible to detect and quantify volcanic thermal anomalies even if they do not cover an entire satellite pixel. The detected thermal anomalies are usually quantified by their temperature, area, volcanic radiant power (VRP), or time averaged lava discharge rate (TADR) [14][15][16][17][18][19][20][21][22][23][24]. The uncertainty of single measured spectral radiances depends on numerous factors such as different sensor's point spread function and spectral response functions, different time of overpass, orbit geometry, and spatial resolution [25,26].…”
Section: Thermal Observations Of Active Volcanoesmentioning
confidence: 99%
“…Indeed, the sensor's SWIR bands have been used in various enlightening volcanic studies (e.g. Pieri and Abrams 2004, Lombardo and Buongiorno 2006, Carter et al 2008, Davies et al 2008, Rose and Ramsey 2009 and it is unfortunate for the field of volcanological remote sensing that they no longer function. However, despite these unprecedented advantages, in relation to ASTER's SWIR bands some weaknesses for certain applications (as determined from the findings presented here) include: (1) its temporal resolution, which reduces its utility both in the long-term monitoring of, and in the immediate response to, volcanic phenomena, and (2) the pattern of its gain settings, in terms of their alternating regime and their inability to always provide unsaturated data.…”
Section: Assessment Of Astermentioning
confidence: 99%
“…In a special issue of Remote Sensing of Environment, which focused purely on the scientific results of ASTER, of the 15 papers, only one (Pieri and Abrams 2005) was concerned with volcanic observations, and even this made no use of ASTER's SWIR observational capabilities. Pieri and Abrams (2004) introduce a number of possible volcanic applications and present examples of ASTER SWIR imagery, while Lombardo and Buongiorno (2006) and Davies et al (2008) make comparisons between quantitative observations from the ASTER SWIR bands and, respectively, those from comparable bands of the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) airborne instrument and the EOS Hyperion sensor. Some studies have also attempted to retrieve volcanic surface temperatures using ASTER SWIR data (e.g.…”
mentioning
confidence: 99%
“…Considering Wien's law it is possible to detect thermal anomalies that usually cover only a small part of a single sensors' pixel area. The following example shows the differences in MIR/TIR sensitivities: a lava lake at 800 K covers 10% of the pixel area and the background temperature equals 300 K; an observation at 4 µm results in a brightness temperature of 530 K and an observation at 11 µm results in only 390 K. This difference in sensitivities of different parts of spectrum on different temperatures resulted in different applications of remote sensing in volcanology (Coppola et al, 2009;Davies et al, 2008;Dehn et al, 2000;Harris et al, 2007Harris et al, , 1995Lombardo et al, 2006;Oppenheimer and Francis, 1997;Pergola et al, 2004;Rothery et al, 1988;Wright et al, 2002;Wright and Pilger, 2008). The detected thermal anomalies are usually quantified by their temperature, area, radiant power (RP), or effusion rate.…”
Section: Introductionmentioning
confidence: 99%