Description

Polluted water influences all aspects of life, including people, animals, and the environment. NASA satellite observations provide near real-time information about water quality, and this freely-available data can help decision makers in their work. Satellite data can have applications for managing drinking water, public health, and fisheries.

This Applied Remote Sensing Training program (ARSET) training helps attendees perform advanced image processing of satellite data and learn about using satellites to track indicators of harmful algal blooms. This includes monitoring water temperature and chlorophyll-a concentrations. Attendees can also use this information for reporting around United Nations Sustainable Development Goal (SDG) 6.

Prerequisites

• Introduction to Remote Sensing of Harmful Algal Blooms

Objectives

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

• Access Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat 7 and Landsat 8 data
• Perform image processing of MODIS and Landsat data
• Monitor water temperature and chlorophyll-a concentrations as harmful algal bloom indicators

Target Audience

This training is focused at water resource managers, water intake managers, and fishery and aquaculture managers and farmers.

Course Format

• Three 2-hour parts

Sessions

Part 1: NASA Remote Sensing for Monitoring Harmful Algal Blooms

Wednesday, Sept. 5, 2018

This session will provide an overview of tools to use for monitoring harmful algal blooms. This will include a demonstration of the OceanColor website for monitoring sea surface temperature and chlorophyll-a data. 

Materials

• Part 1 Presentation Slides (PDF, 2.8 MB)
• Part 1 Q&A Transcript (PDF, 0.2 MB)
• Part 1 Exercise: Giovanni (PDF, 0.7 MB)
• Part 1 Exercise: Ocean Color (PDF, 1.0 MB)

Homework

• Part 1 Homework

Part 2: Introduction to Image Processing & Data Access

Wednesday, Sept. 12, 2018

This session will focus on using the Sea, earth, atmosphere Data Analysis System (SeaDAS) for image processing, as well as accessing Landsat and Aqua imagery. Instructors will show how to access and use SeaDAS, USGS Earth Explorer (Landsat), and NASA Earthdata (MODIS). 

Materials

• Part 2 Presentation Slides (PDF, 1.2 MB)
• Part 2 Q&A Transcript (PDF, 0.2 MB)
• Download and Install SeaDAS (PDF, 0.4 MB)
• Part 2 Exercise: SeaDAS (PDF, 0.4 MB)

Homework

• Part 2 Homework

Part 3: Image Processing Hands-On Exercise

Wednesday, Sept. 19, 2018

This session will focus on allowing attendees to do a hands-on exercise using relevant case studies. Instructors will be available to answer questions and provide demonstrations.

Materials

• Part 3 Presentation Slides (PDF, 0.9 MB)
• Part 3 Q&A Transcript (PDF, 0.2 MB)
• Part 3 Exercise: Convert Landsat 8 (OLI) L-1 Data (PDF, 0.9 MB)
• Part 3 Exercise: Calibration of Algorithm (PDF, 2.2 MB)
• Part 3 Data: Landsat Data (GZ, 937.9 MB)