GSW

Tutorial 4

Using LLMs for U nderstanding and Developing Surface Motion Estimation Methods with SAR

Prof. Timo Balz, Assoc. Prof. Bahaa Mohamadi

Abstract : In this course, different methods for using SAR systems for surface motion estimation are introduced. Students will learn how to develop code for using these methods further by using large language models (LLM). It is designed for graduate students in Geographic Information Sciences and Remote Sensing. The course includes the following topics:

  1. Introduction SAR remote sensing
  2. SAR image processing
  3. Introduction into differential SAR interferometry
  4. PSInSAR processing chain

Objectives :

  • Have knowledge on basic and advanced methods of SAR remote sensing
  • Have deep understanding on D-InSAR and PSInSAR
  • Gained practical experience in using LLMs for code development
  • Have Python code for PSInSAR processing
  • Have the foundation for further development of more advanced processing techniques

Outline:

  • Introduction to SAR
  • Introduction into LLMs and prompt engineering
  • Theory of differential SAR interferometry
  • Using LLM to develop basic InSAR processing
  • Permanent Scatterer Interferometry
  • Understanding PSInSAR with LLMs
  • Developing PSInSAR steps with LLMs