Course description
The participants will get insights on how to use remote sensing data to measure surface characteristics. Therefore, a profound knowledge on remote sensing is given to the participants in an introductional lecture with handson examples to get familiar with the physics of (microwave) remote sensing. In addition, the participants will also learn how to access and use already existing remote sensing data products and tools - such as data from the European Copernicus Climate Change Service (C3S) and the Copernicus Data Store (CDS). In a second lecture, the participants will deepen their knowledge in microwave remote sensing and a data set for north-east German peatlands will be analyzed using small baseline subsets technology (SBAS). Here, pre-compile python program scripts as JuPyter notebooks will be used to teach the participants in the field of subsidence measurements by microwave remote sensing technology in conjunction with high performance computing. Finally, we will critically discuss the results with the participants and discuss the potentials of remote sensing for their own research focus field.
Topic: Subsidence Monitoring over natural surfaces using small baseline subsets (SBAS)
Information about the lecturer
Prof. Dr. Lingxiao Wang as been engaged in InSAR monitoring and the study of permafrost degradation in the past 10 years. She currently works as an associated professor for geographic information science at the Nanjing University of Information Science and Technology. She received her M.Sc. in Cartography and Geographic Information Science from Nanjing University, Nanjing, China in 2012 and her PhD from the Faculty of Geosciences of LMU Munich in 2018 respectively. Her research scope encompasses the tundra environment across the Pan-Arctic region as well as the alpine grassland environment of the Tibetan Plateau. Her primary focus lies in monitoring ground surface deformation and exploring the impact of permafrost degradation on water resources as well as on C-pools. Recently, she has been involved in the research works of infrastructure stability monitoring and diagnostics in cold regions. Within these research domains, she has published articles in reputable journals such as WRR, RSE, GRL, TC, PPP, etc.. Furthermore, she has led and participated in multiple research projects, including those funded by the National Natural Science Foundation of China and the Basic Resources Survey Program of the Ministry of Science and Technology of China.
Contact
Prof. Dr. Philip Marzahn