Description

This two-part, advanced webinar series led by NASA's Applied Remote Sensing Training program (ARSET) was a follow-on to the training on coastal and estuarine water quality held in September 2021. It is a hands-on training with demos provided by instructors, followed by an hour of lab time for participants to use Level-1 Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) data provided by the Ocean Biology DAAC (OB.DAAC) and the Sea, earth, atmosphere Data Analysis System (SeaDAS) and OCSSW software for deriving water quality parameters. 

The derived water quality parameters include chlorophyll-a concentration, sea surface temperature, and suspended particulate matter from optical satellite imagery and in situ measurements using the SeaWiFS Bio-optical Archive and Storage System (SeaBASS), a public repository of in situ oceanographic and atmospheric data, and SeaDAS, a comprehensive software package for the processing, display, analysis, and quality control of remote sensing data. 

This training provides participants with the skills to combine in situ measurements and optical remote sensing data to assess water quality for their area of interest.

Prerequisites

• Fundamentals of Remote Sensing
• Monitoring Coastal and Estuarine Water Quality: Transitioning from MODIS to VIIRS
• Create a NASA Earthdata Login
• Install SeaDAS (PDF, 14.19 MB)
• Install the OCSSW Package for SeaDAS (PDF, 16.1 MB)
• Windows Virtual Machine Configuration Instructions (PDF, 1.2 MB)

Objectives

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

• Select in situ water quality data from SeaBASS
• Develop algorithms from MODIS and VIIRS imagery using SeaDAS to obtain chlorophyll-a, sea surface temperature, and suspended particulate matter
• Monitor water quality in selected coastal and estuarine regions

Target Audience

This training series is intended for federal, state, regional, and local public and private organizations involved in water quality and estuarine ecosystem management.

Course Format

• Two 1.5-hour parts

Sessions

Part 1: In Situ Data Acquisition Using SeaBASS and Image Processing Using SeaDAS

Part 1 Content:

• Review of MODIS and VIIRS data
• Review of SeaDAS imagery processing
• Overview of SeaBASS and in situ data acquisition
• Lab time for participants to download SeaBASS in situ data for a selected estuary or coastal region
• Q&A

ARSET Instructors

Amita Mehta and Sean McCartney

Materials

• Part 1 Presentation Slides (PDF, 15.8 MB)
• Part 1 Q&A Transcript (PDF, 0.1 MB)
• Part 1 Exercise (PDF, 4.5 MB)
• Part 1 Exercise Spreadsheet

Materiales en Español

• Diapositivas de la Presentación de Parte 1 (PDF, 32.4 MB)
• Ejercicio de la parte 1 (PDF, 17.9 MB)

Part 2: Practical: Monitoring MODIS- and VIIRS-Based Water Quality in Selected Estuaries

Part 2 Content:

• Demonstration of deriving water quality parameters from MODIS and VIIRS using SeaBASS and SeaDAS for the Gulf of Mexico
• Lab time for participants to derive water quality parameters for a selected estuary or coastal region
• Q&A

ARSET Instructors

Amita Mehta and Sean McCartney

Materials

• Part 2 Presentation Slides (PDF, 16.3 MB)
• Part 2 Q&A Transcript (PDF, 0.08 MB)
• Part 2 Exercise (PDF, 18.8 MB)
• Optional Exercise (PDF, 13.3 MB)
• Part 2 Data

Homework

• Homework (Due Jan. 20, 2022)

Materiales en Español

• Diapositivas de la Presentación de Parte 2 (PDF, 16.3 MB)
• Ejercicio de la parte 2 (PDF, 6.9 MB)