Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 877-882, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-877-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
29 Apr 2015
Lava Flow Monitoring Using TET-1 Satellite
K. Zakšek1, E. Lorenz2, and M. Hort1 1University of Hamburg, CEN, Institute of Geophysics, Bundesstr. 55, 20146 Hamburg, Germany
2German Aerospace Center, Optical Information Systems, Rutherfordstraße 2, 12489 Berlin, Germany
Keywords: Volcanic Thermal Anomalies, Lava Flow, Stromboli, Small Satellites, TET-1 Abstract. Lava flow monitoring using satellites provides information on the temporal evolution of volcanic activity. It is usually done using metrological satellites because of the lack of more suitable satellites. The advantage of many meteorological satellites is the availability of appropriate spectral bands. For lava flow monitoring are most useful data in spectrum 3–4 μm (MIR) and 9–12 μm (TIR). However, the spatial resolution of meteorological satellites is usually very coarse causing uncertainties in results. Here we present the first long term satellite monitoring of an active lava flow on Stromboli volcano (end of August till the beginning of November 2014) in high spatial resolution (160 m) and relatively high temporal resolution (~3 days). We analysed data from a test satellite TET-1, which is a test satellite developed at DLR. It carries an instrument dedicated to monitoring of high temperature events. MIR band observations are often saturated at the meteorological satellites. This is not the case of TET-1, although their spatial resolution is very fine for a thermal sensor. TET-1 retrieved 27 datasets over Stromboli during its effusive activity. Some of images were cloudy situations, but most of them were very useful for monitoring of the lava flow radiant power.
Conference paper (PDF, 895 KB)


Citation: Zakšek, K., Lorenz, E., and Hort, M.: Lava Flow Monitoring Using TET-1 Satellite, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 877-882, https://doi.org/10.5194/isprsarchives-XL-7-W3-877-2015, 2015.

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