Bachelor

Fakultät 08
Klassifikation und Kartierung der Devon Ice Cap basierend auf TerraSAR-X Daten von 2017 bis 2020
Kategorie:
Abschlussarbeit
Status:
abgeschlossen
BetreuerIn:
Extern/e BetreuerIn:
Dipl.-Ing. Anna Wendleder
Extern/e AutorIn:

Maximilian Rieger


Jahr:
2020
Figure 1: The Devon Ice Cap seen by space-borne optical remote sensors.
Figure 1: The Devon Ice Cap seen by space-borne optical remote sensors.

Classification and mapping of the Devon Ice Cap based on TerraSAR-X data from 2017 to 2020


Devon Ice Cap in Nunavut, Canada, is one of the largest ice caps in the Canadian Arctic, see Fig. 1. A complete melting of the glacier would mean a global sea level rise of 1 cm. Since data collection and exploration of the glacier began in 1961, the glacier area has decreased by 2.4% (about 340 km2). This bachelor thesis deals with the classification and mapping of the different glacier zones for the observation period from 2017 to 2020 by analyzing satellite radar data, see Fig. 2. As source data, TerraSAR-X backscatter values in the X-band pre-processed by the German Aerospace Center (DLR) into the MutliSAR System were used. These contain the backscatter values of radar image scenes as georeferenced raster files. The data are available for the observation period for three orbits in temporal resolution of 11 days. The geometric resolution is 40 m by 40 m per pixel. Backscatter values of objects in the radar image depend on their dielectric constant (signal transmission) and the image geometry of the radar zone. The backscatter of glacier zones can be used for the detection of zone classes. In this work, backscattered areas are associated with specific glacier zones, linked to an elevation model of the TanDEM-X mission and temperature data to provide information about the structure of the Devon Ice Cap and its development over the observation period. The goal of this work is to use remote sensing data to make statements about the composition and changes of the glacier and to link these to local meteorological data. Finally, the influence of the topography of the terrain on the classification quality is analyzed. To visualize the results, maps and time series are generated, on which the seasonal and long-term effects can be traced, see Fig. 3. This bachelor thesis was realized in cooperation with the TopoSAR-Team within the Earth Observation Center (EOC) at the German Aerospace Center (DLR) in Oberpfaffenhofen.


Figure 2: The average location and extension of the glacier facies on the Devon Ice Cap according to the TerraSAR-X based time series analysis for the three years under study.
Figure 2: The average location and extension of the glacier facies on the Devon Ice Cap according to the TerraSAR-X based time series analysis for the three years under study.


Figure 3: Due to the newly developed correction mask, the glacier facies can be derived and evaluated every three days using images taken from three different orbits of TerraSAR-X.
Figure 3: Due to the newly developed correction mask, the glacier facies can be derived and evaluated every three days using images taken from three different orbits of TerraSAR-X.

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