Skip to main content

Description

Synthetic aperture radar (SAR) allows researchers to observe Earth's surface both day and night and through most weather conditions, making it an ideal sensor to support a wide range of science and applications. Additionally, unique capabilities of SAR include: its ability to penetrate various mediums (such as vegetation, snow, and soil); its ability to measure surface deformation and small movements on the order of centimeters; and its sensitivity to structure and to moisture content. These capabilities are valuable for monitoring vegetation structure and land use, detecting surface deformation and movement in land (e.g., earthquakes, landslides) and ice (e.g., glacier movement), flooding, and soil moisture, to name a few.

Historical and operational SAR data have been used to support numerous science and applications questions and needs. However, upcoming SAR satellite sensors, such as NASA-ISRO SAR (NISAR) and Biomass, will enhance these capabilities with their unique observing frequencies and spatial and temporal resolutions.

This webinar provides an introduction to SAR, including interferometric SAR (InSAR), as well as a review of the characteristics of historical, current, and upcoming SAR satellite data. It also explores the type of applications that each sensor can best address. Additionally, this webinar discusses online sources of openly available SAR data, along with tools, software, and other resources to understand, explore, and facilitate the analysis of such data.

Prerequisites

Objectives

By the end of this training attendees will be able to:

  • Recognize basic features and functionality of Synthetic Aperture Radar (SAR)
  • Evaluate SAR sensor characteristics for addressing different science questions and application areas
  • Interpret the information content in SAR images to distinguish different features (e.g., vegetation, water, inundation) detected by the sensor
  • Evaluate creation of an interferogram through interferometric SAR (InSAR)
  • Interpret an interferogram to measure surface deformation and small movements
  • Compare and contrast the capabilities of historic, current, and upcoming SAR data
  • Access and visualize SAR data for a given location and time

Target Audience

Remote sensing end users, geospatial analysts, academics and students, managers from local, state, federal government, and non-governmental organizations.

Course Format

  • Three 2-hour parts
    • Each part includes a 30-min Q&A session.

Sessions

Part 1: Introduction to Synthetic Aperture Radar (SAR)

Remote video URL
  • Identify radar remote sensing signal characteristics
  • Recognize how the radar signal interacts with the surface
  • Interpret a SAR image to distinguish different features (e.g., vegetation, water, inundation) detected by the sensor
  • Identify application areas where different SAR sensors are most applicable
  • Compare and contrast the capabilities and characteristics of historic, current, and upcoming SAR data

ARSET Instructors

Erika Podest

Materials

Part 2: Introduction to Interferometric SAR (InSAR)

Remote video URL
  • Identify the basic concepts of Interferometric SAR
  • Identify the steps to generate a SAR interferogram
  • Interpret an interferogram to measure surface deformation
  • Identify the applications that InSAR can address

ARSET Instructors

Erika Podest

Guest Instructors

Eric Fielding (JPL)

Materials

Part 3: An Overview of SAR Data Sources and Tools

Remote video URL
  • Access openly available SAR data from the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC)
  • Explore tools to visualize and download openly available SAR data from the ASF DAAC

ARSET Trainers

Erika Podest

Guest Instructors

Franz Meyer (ASF, University of Alaska, Fairbanks), Heidi Kristenson (ASF)

Materials

Homework

Citation

(2024). ARSET - An Introduction to Synthetic Aperture Radar (SAR) and its Applications. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/introduction-synthetic-aperture-radar-sar-its-applications

Details

Last Updated

June 17, 2026

Published

Nov. 6, 2024

Data Center/Project

Applied Remote Sensing Training Program (ARSET)