SeaDAS software, developed by the NASA Ocean Biology Processing Group (OBPG), is used in the processing, analysis, and visualization of satellite images. SeaDAS uses OBPG algorithms to produce water quality data and can be used to obtain water quality parameters from current optical sensors such as OLI (Operational Land Imager), MSI (MultiSpectral Instrument), OLCI (Ocean and Land Colour Instrument), VIIRS (Visible Infrared Imaging Radiometer Suite), and MODIS (MODerate resolution Imaging Spectroradiometer). SeaDAS can also be used to apply atmospheric correction and obtain remote sensing reflectance at the water surface level from these sensors.
This two-hour training will provide an overview and demonstration of the latest version of SeaDAS 8.4.1, which is useful for remote sensing of water quality monitoring. This training will also serve as a prerequisite for future ARSET training on remote sensing of water quality.
Relevant UN Sustainable Development Goals:
- Goal 6: Ensure availability and sustainable management of water and sanitation for all.
- Target 6.6: By 2030, protect and restore water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes.
Course Dates: February 13, 2024
Times: 10:00-12:15 or 14:00-16:15 EST (UTC-5); There will be identical sessions at two different times of the day. Participants need only to register and attend one daily session.
To Register visit this link
By the end of this training, attendees will be able to:
- Identify expanded sensor data processing capability of the latest version of SeaDAS for sensors such as OLCI and MSI
- Use SeaDAS tools to analyze and visualize a water quality parameter, such as chlorophyll-a concentration, from Sentinel-3 OLCI for a given water body
- Improve awareness of the plans for incorporating future PACE (Plankton, Aerosol, Cloud ocean Ecosystem) data processing into SeaDAS
Audience: Local, state, and federal water quality managers, fisheries advisors, aquaculture managers, freshwater and coastal ecosystems managers, and academic researchers working on remote sensing of water quality.
Course Format: One 2-hour training session with live Q&A
Find out more about this opportunity here.