Overview

Remote sensing observations from airborne and spaceborne platforms have become an essential tool in earth observation and earth sciences. They provide an immediate and large-area overview of the evolving earth environment, revealing important information on the state of ecosystems, unfolding natural hazards, enabling change detection of geodynamic phenomena such as volcanoes, earthquakes, and the cryosphere.

This course will introduce you to Synthetic Aperture Radar (SAR), a remote sensing technology that can see the earth surface even during darkness and through weather conditions such as rain, clouds, or smoke. As a participant in this course, you will gain an intuitive understanding of the information contained in SAR observations. You will learn about the concepts and applications of interferometric SAR and experience how SAR data acquired at different polarizations can reveal a wealth of information about the earth environment. Each SAR analysis concept will be illustrated with relevant applications. Specific topics include:

The mathematical and physical principles of SAR remote sensing
How to access and visualize SAR data
Interpretation of SAR images at different wavelengths and polarizations
Interferometric SAR (InSAR) concepts
The principles of Polarimetric SAR (PolSAR)
A summary of applications of InSAR and PolSAR in geoscience, hazard mapping, and ecosystem monitoring

Learners on the verified track will put their learned knowledge into action in data analysis and data processing exercises, in which class participants will analyze SAR data sets, generate and interpret interferometric SAR data, and explore the importance of polarization in earth observation. Learners who select the verified track will also have access to online computational labs and tutorials using Jupyter notebooks that will allow deeper exploration and practice.

This course is produced by the Alaska Satellite Facility at the University of Alaska Fairbanks, which has been selected as the NASA data hub for the upcoming NISAR mission.

Syllabus

Week 1: Course Introduction and Basic Capabilities of SAR

Week 1 will introduce you to the main content and structure of this course. You will also learn about the lab environment that will be available for learners on the “verified track”. The following items will be addressed:

Introduction to the concept and upcoming lectures and exercises related to this course
Presentation of the course syllabus
Presentation of SAR data examples to familiarize students with the appearance and properties of SAR data

Week 2: Introduction to Synthetic Aperture Radar Remote Sensing

Week 2 will introduce the main concepts of Synthetic Aperture Radar (SAR imaging along with the properties and information content of SAR data). You will also learn about the lab environment that will be available for learners on the verified track. Specific topics will include:

Properties of microwaves
What is Synthetic Aperture Radar (SAR) imaging
Geometric and radiometric properties of SAR
How SAR sees the world
Verified Track: Lab exercise on exploring SAR time series for flooding events

Week 3: Introduction to Interferometric SAR (InSAR)

Week 3 will introduce the concepts and applications of Interferometric SAR (InSAR) processing. InSAR uses the phase signal captured in SAR data to track subtle surface movements such as those related to seismic events and volcanic activity. Specifically, Week 3 will address the following items:

Concepts of Interferometric SAR processing and its main applications
InSAR for topographic mapping
InSAR for deformation monitoring
A glimpse into InSAR time series analysis techniques
Further reading
Verified Track: Lab exercise analyzing and interpreting InSAR products

Week 4: The Concepts and Applications of Polarimetric SAR (PolSAR)

InSAR time series analysis techniques enable the tracking of cm-scale surface displacements over long times. These techniques are relevant for a number of hazard applications such as landslide and volcano monitoring. In Week 4 we will address:

What is polarization and how do different polarizations "see"
Use polarization to generate color representations of SAR data
Polarimetric decompositions: Combining information at different polarizations to better understand the earth environment
Verified Track: Lab exercise generating forest degradation indices from dual-pol SAR data