The TanDEM-X mission has been launched for more than a decade. The mission collected rich valuable data that allows for generating high resolution digital elevation models (DEM) and analysing the change of earth surface topography. Therefore, this project aims to leverage the TanDEM-X data collected over the Great Aletsch Glacier to evaluate the height changes and velocity dynamics of the glacier.
The Great Aletsch Glacier lies in central Switzerland, and has been selected as a super test site for the TanDEM-X mission. Since 2011, dense time series of SAR data has been collected over the glacier, allowing for a detailed examination of the glacier status.
In the project, the student is expected to
1) generate DEM of the glacier from the TanDEM-X imagery using the provided toolchain,
2) generate velocity maps of the glacier with the same dataset using a developed offset tracking algorithm, and
3) analyse the time series of DEM and velocity maps to characterize the glacier height changes and velocity dynamics.
The student will learn essential SAR data processing techniques and get hands-on experience of using advanced SAR image processing software. He/she also finds the project a good opportunity to apply remote sensing data to real-world problem solving.
The TanDEM-X mission has been launched for more than a decade. The mission collected rich valuable data that allows for generating high resolution digital elevation models (DEM) and analysing the change of earth surface topography. Therefore, this project aims to leverage the TanDEM-X data collected over the Great Aletsch Glacier to evaluate the height changes and velocity dynamics of the glacier. The Great Aletsch Glacier lies in central Switzerland, and has been selected as a super test site for the TanDEM-X mission. Since 2011, dense time series of SAR data has been collected over the glacier, allowing for a detailed examination of the glacier status. In the project, the student is expected to
1) generate DEM of the glacier from the TanDEM-X imagery using the provided toolchain,
2) generate velocity maps of the glacier with the same dataset using a developed offset tracking algorithm, and
3) analyse the time series of DEM and velocity maps to characterize the glacier height changes and velocity dynamics.
The student will learn essential SAR data processing techniques and get hands-on experience of using advanced SAR image processing software. He/she also finds the project a good opportunity to apply remote sensing data to real-world problem solving.
Not specified
Shiyi Li (Shiyi.li@ifu.baug.ethz.ch), Irena Hajnsek (hajnsek@ifu.baug.ethz.ch)
Shiyi Li (Shiyi.li@ifu.baug.ethz.ch), Irena Hajnsek (hajnsek@ifu.baug.ethz.ch)