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Description

This training hosted by NASA's Applied Remote Sensing Training program (ARSET) focuses on integrating NASA Earth observations into water quality monitoring decision-making processes. This includes overviews of data products used for water quality monitoring; aquatic remote sensing-specific criteria, methods, and best practices; obtaining NASA Earth observation data for water quality monitoring; and practical skill-building in image processing for water quality monitoring of coastal and larger inland water bodies. Three two-hour parts include lectures, hands-on demonstrations, written instructions to conduct exercises, and a question and answer session.

Prerequisites

Objectives

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

  • Acquire relevant remotely-sensed imagery and products
  • Apply best practices for atmospheric correction to remotely-sensed images
  • Evaluate the uncertainty of images by validating satellite imagery using in situ measurements
  • Analyze water quality data using NASA's SeaDAS software and validate aquatic remote sensing data products

Target Audience

  • This training is intended for regional, state, federal, and international organizations interested in addressing water quality monitoring through the use of remote sensing.

Course Format

  • Three 2-hour parts

Sessions

Part 1: Water Quality in the Coastal Zone

Wednesday, June 5, 2019

Remote video URL

This webinar will provide an overview of remote sensing data products for monitoring coastal water quality. The case study exercise will focus on water quality monitoring in coastal systems using remote sensing data products and NASA's SeaDAS software. 

Materials

Homework

Materiales en Español

Part 2: Water Quality of Larger Inland Water Bodies

Wednesday, June 12, 2019

Remote video URL

This webinar will cover satellite sensors for water quality monitoring of inland water bodies and applications of water quality monitoring. The case study exercise will cover remote sensing data products and SeaDAS focusing on cyanobacterial harmful algal blooms. 

Materials

Homework

Materiales en Español

Tarea

Part 3: Aquatic Remote Sensing Skill Development and Best Practices

Wednesday, June 19, 2019

Remote video URL

This webinar will cover building a water quality monitoring work flow using remote sensing data products and in situ data observations and the "nuts and bolts" of image processing in SeaDAS. The case study exercise will look at designing a water quality monitoring program. 

Materials

Homework

Materiales en Español

Citation

(2019). ARSET - Integrating Remote Sensing into a Water Quality Monitoring Program. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/integrating-remote-sensing-water-quality-monitoring-program

Details

Last Updated

Feb. 9, 2026

Published

June 5, 2019

Data Center/Project

Applied Remote Sensing Training Program (ARSET)