TanDEM-X and TerraSAR-X based spring flood Simulation on the Lena Delta, Siberia

• Main Authors: Pertiwi, Avi Putri, Roth, Achim, Bhola, Punit Kumar, Schaffhauser, Timo
• Format: Conference Object
• Language: unknown
• Published: 2019
• Subjects: Dynamik der Landoberfläche; Arctic; Arctic Ocean; Climate change; lena delta; lena river; Sea ice; Siberia
• Online Access: https://elib.dlr.de/130253/

Arctic watersheds heavily influence the oceans and the mean global temperature. They are the largest source of freshwater to the Arctic Ocean and affecting the sea ice cover and the ocean conveyor belt. An example of these impacts is the 7% rise of the average annual freshwater discharge from the six largest Eurasian rivers to the Arctic Ocean over the last century. The interaction between the Arctic water budget and climate change makes the study of arctic surface water important for climate- and environment-related research. The river Lena is one of the four main contributors to the Arctic Ocean freshwater, the others being Yenisei, Ob, and Mackenzie. It is the 10th longest natural river in the world, located in eastern Siberia with a basin the size of 2.4 × 106 km2 and an average annual water runoff of > 500 km3. Extreme spring flood events take place annually in Lena, due to the melting of the accumulated snow from the previous winter. During this flood event, around 40% of its annual discharge is released to the ocean. The study area consisted of the central part of the Lena river delta where the main channel diverges into its major distributaries, namely the Trofimowskaya, Bykowskaya and Olenekskaya channels. This area consists of a braided river system with a vast floodplain area, surrounded by cliffs on its east and west side. Most of the floodplain area was flooded during the spring flood. This remote area cannot be easily accessed, making data acquisition challenging and costly. The aim of this thesis is to implement a hydraulic modeling method using the TerraSAR-X and TanDEM-X datasets during the annual spring flood events between 2013 and 2019. This approach combined remote sensing and river hydraulic methods. This integration is widely known as remote sensing of rivers and has been an emerging sub-discipline on river hydraulic studies. The remotely-sensed datasets provided the parameters for hydraulic measures on poorly gauged regions, whereas hydraulic modeling helped derive parameters which ...