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Synthetic Aperture Radar (SAR): Applications

Offered By: University of Alaska Fairbanks via edX

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GIS Courses Remote Sensing Courses

Course Description

Overview

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

This certificate program will introduce you to the concepts and applications of Synthetic Aperture Radar (SAR), a remote sensing technology that can see the ground even during darkness and through rain, clouds, or smoke. As a participant completing the certificate, you will gain an intuitive understanding of the information contained in SAR observations. You will learn about the concepts of interferometric SAR and experience how SAR data acquired at different polarizations can reveal a wealth of information about the earth environment. Based on these foundations of SAR, interferometric SAR, and polarimetric SAR, participants will learn about how SAR and change detection techniques can be applied to the monitoring of natural hazards and to the analysis of the Earth’s ecosystems.

Specific topics include:

  • The mathematical and physical principles of SAR remote sensing.
  • How to access and visualize SAR data.
  • Interpretation of SAR imagery at different wavelengths and polarizations.
  • Interferometric SAR (InSAR) concepts.
  • The principles of Polarimetric SAR (PolSAR).
  • Application of SAR and InSAR to hazard monitoring with a focus on natural hazards such as earthquakes, volcanoes, landslides, wildfires, and flooding.
  • Application of SAR and polarimetric SAR data to the analysis of ecosystems and their change including monitoring agriculture extent, forest monitoring for forest fires and deforestation, and forest biomass estimation.

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, InSAR and polarimetric SAR data sets, and apply them in hazard and ecosystems monitoring case studies. Learners who select the verified track will also have access to online computational labs using Jupyter notebooks that will allow deeper exploration and practice.

Recommended Prerequisites

In order for learners to succeed in the courses in this professional certificate, the following prerequisites and trainings are recommended:

  • General proficiency in GIS
  • For verified track: Basic knowledge in Python programming
  • ARSET Level-0 Training “Fundamentals of Remote Sensing” or equivalent
  • ARSET Level-1 Training “Introduction to Synthetic Aperture Radar” or equivalent


Syllabus

Courses under this program:
Course 1: Synthetic Aperture Radar: Foundations

This course provides foundational knowledge of Synthetic Aperture Radar (SAR) remote sensing including SAR imaging, SAR interferometry, and the concepts of polarimetric SAR. The individual concepts will be illustrated with data sets from spaceborne and airborne SAR missions.



Course 2: Synthetic Aperture Radar: Hazards

This course focuses on the applications of Synthetic Aperture Radar (SAR) remote sensing for disaster monitoring. Learn about weather and illumination-independent SAR remote sensing technology, and explore its applications to natural hazards including earthquakes, volcanic eruptions, and flooding.



Course 3: Synthetic Aperture Radar: Ecosystems

This course will introduce the contributions of Synthetic Aperture Radar (SAR) remote sensing to the monitoring of Earth’s ecosystems. Learn how the weather-independence of SAR combined with its ability to penetrate into vegetation canopies make SAR an excellent information source to characterize vegetation structure, measure above-ground biomass, and analyze the change of vegetation long term and throughout the seasons.




Courses

  • 1 review

    4 weeks, 4-6 hours a week, 4-6 hours a week

    View details

    Remote sensing observations from airborne and spaceborne platforms have become an essential tool in disaster management. They provide an immediate and large-area overview of evolving disaster situations, revealing important hazard information to disaster response personnel.

    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 rain, clouds, or smoke. As a participant in this course, you will gain an intuitive understanding of the information contained in SAR earth observations and learn to use a range of analysis techniques and algorithms to apply SAR data to disaster mapping and management. Specific topics will include:

    • The mathematical and physical principles of SAR remote sensing
    • How to access and visualize SAR data
    • Interpretation of SAR imagery in the context of disaster monitoring
    • Interferometric SAR (InSAR) concepts
    • Flood mapping and SAR change detection for hazard analysis
    • InSAR-based analysis of volcanoes and landslides
    • The learned concepts will be put into action in simulated disaster response exercises, in which class participants will analyze SAR data sets to create hazard information for several real-life disaster events from the recent past.

    Learners registered for the verified track will additionally get the opportunity for hands-on lab exercises using Jupyter Notebooks. The verified track will also include peer discussions and a verified certificate upon successful completion.

    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.

  • 0 reviews

    4 weeks, 4-6 hours a week, 4-6 hours a week

    View details

    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.

  • 0 reviews

    4 weeks, 4-6 hours a week, 4-6 hours a week

    View details

    Remote sensing observations have become an essential tool in observing the state and evolution of the earth’s ecosystems. They are a unique means within earth sciences to gain an immediate and regional- to continental-scale view of the earth environment, allowing for the monitoring and change detection of entire biomes over time.

    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 rain, clouds, or smoke. As a participant in this course, you will learn how the weather-independence of SAR combined with its ability to penetrate into vegetation canopies make SAR an excellent information source to characterize vegetation structure, measure above-ground biomass, and analyze the change of vegetation long term and throughout the seasons. Each SAR ecosystem application will be illustrated with relevant data sets and hands-on exercises. Specific topics include:

    • The concepts and principles of SAR and polarimetric SAR
    • How to access and visualize SAR data and SAR imagery
    • Interpretation of SAR images at different wavelengths and polarizations in the context of ecosystems monitoring
    • The use of SAR techniques in monitoring forest degradation
    • Techniques for estimating forest biomass through SAR earth observation
    • The application of SAR to the monitoring of agriculture extent
    • The learned concepts will be put into action in using SAR time series data sets from spaceborne SAR missions over agriculture sites and forested regions undergoing degradation. Learners registered for the verified track will additionally get the opportunity for hands-on lab exercises and tutorials using Jupyter Notebooks. The verified track will also include peer discussions and a verified certificate upon successful completion.

    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.


Taught by

Franz Meyer

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