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Description

Monitoring surface water is critical for supporting agriculture, sustaining ecosystem health, and managing water resources. The recent availability of Synthetic Aperture Radar (SAR) data from the NASA-ISRO Synthetic Aperture Radar (NISAR) mission provides users with high-resolution, consistent observations of Earth's surface every 12 days. These observations are particularly valuable in tropical and flood-prone regions, where frequent cloud cover and varying illumination often limit the effectiveness of optical remote sensing. 

Complementing these observations, NASA's Observational Products for End-Users from Remote Sensing Analysis (OPERA) project is producing global, analysis-ready surface water products that provide readily accessible information for researchers, resource managers, and decision-makers.

This intermediate-level training will introduce participants to complementary approaches for monitoring surface water using NISAR and OPERA. Participants will learn how to use NISAR SAR amplitude data to generate their own flood maps by identifying open water and inundated vegetation, as well as how to use the analysis-ready OPERA Surface Water Extent product for monitoring surface water and to support water management activities. The training will highlight the strengths, limitations, and appropriate applications of each approach.

The training will cover the fundamental principles of how radar detects surface inundation, the characteristics of NISAR and OPERA datasets, and considerations for selecting and interpreting these data for different applications. Through hands-on demonstrations, participants will learn how to access, visualize, and analyze NISAR and OPERA data using open-source software, gaining practical experience with workflows for surface water monitoring and water resource management.

Prerequisites

Objectives

By the end of this training, participants will be able to:

  • Differentiate radar backscatter characteristics in order to identify open water and inundated vegetation.
  • Generate a flood map from NISAR SAR amplitude data using open-source software.
  • Compare the workflows for deriving a flood map from NISAR observations and using the analysis-ready OPERA Surface Water Extent product.
  • Evaluate when it is more appropriate to generate a flood map from NISAR observations versus using the OPERA Surface Water Extent product.
  • Access, visualize, and interpret OPERA Surface Water Extent products for flood and surface water monitoring applications.

Target Audience

  • Water resource managers, flood managers, and disaster response managers from federal, state, and local government agencies, NGOs, and private sector organizations.
  • Students and academics who are interested in radar remote sensing for water resources applications.

Course Format

  • The complete course consists of two 2-hour parts, with Part 1 offered on October 20 and Part 2 on October 27.
  • On each day, there are two opportunities to take the course (one in English, one in Spanish):
    • English: 11:00 a.m. to 1:00 p.m. EDT (UTC-4)
    • Spanish: 2:00 p.m. to 4:00 p.m. EDT (UTC-4)
  • Each part will include a 30-minute live Q&A.
  • Those who attend Parts 1 and 2 and complete the homework by the due date will receive a certificate of attendance.

Sessions

Part 1: Flood Mapping with NISAR

October 20, 2026

This session begins with the fundamental principles of how SAR detects inundation—including the distinct radar signatures associated with open water and inundated vegetation—and discusses the advantages of radar observations for monitoring floods regardless of cloud cover or daylight conditions. The session then highlights the unique capabilities of NISAR for flood mapping, including its global coverage, frequent revisit schedule, and L-band sensitivity to vegetation and surface water. Participants will learn which NISAR data products are most appropriate for flood mapping applications and the considerations for selecting and interpreting these products. 

The session concludes with a demonstration in QGIS, where participants will learn how to visualize NISAR data and generate a flood map, providing a practical workflow that can be adapted for flood monitoring and disaster response applications.

Instructors:

NameTitleAffiliation
Erika PodestARSET InstructorCalifornia Institute of Technology (Caltech), NASA Jet Propulsion Laboratory (JPL)

Part 2: Water Surface Extent from OPERA

October 27, 2026

This session introduces participants to the OPERA project’s Surface Water Extent product (DSWx) and its applications for monitoring surface water dynamics. Participants will learn how the product is generated from NISAR observations, the information it provides, and its strengths and limitations for water resource monitoring and flood applications. The session will discuss the types of water features that can be detected, appropriate use cases, and considerations for interpreting the product in different environments. Participants will also become familiar with the product format, key attributes, and how to access this dataset. 

The session concludes with a demonstration in QGIS, where participants will learn how to visualize and interpret the OPERA Surface Water Extent product and explore its use for assessing changes in surface water extent in support of water resource management and disaster response.

Instructors:

NameTitleAffiliation
Erika PodestARSET InstructorCalifornia Institute of Technology (Caltech), NASA Jet Propulsion Laboratory (JPL)
Renato Prata de Moraes FrassonARSET InstructorCalifornia Institute of Technology (Caltech), NASA Jet Propulsion Laboratory (JPL)

Citation

(2026) ARSET – Monitoring Surface Water with SAR for Water Resource Management. NASA Applied Remote Sensing Training Program (ARSET).

Details

Last Updated

Aug. 25, 2026

Published

Aug. 25, 2026

Data Center/Project

Applied Remote Sensing Training Program (ARSET)
Global Precipitation Measurement