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SeaDAS

Presentation Material

The materials linked to below require a PDF reader. Adobe continues to provide a free reader for Windows, Mac, or Android systems, while the Evince reader is available for Linux.

SeaDAS Introduction


An introduction of the OB.DAAC products and algorithms. Review the data levels and the flow of data from raw, level-0 to level-3 mapped data. An introduction to SeaDAS features: color palettes, masking, making custom products, mapped projections, and statistics. The OCSSW processors and ancillary data are described as well as user support methods are discussed. View

For additional training, check out the Getting Started video tutorial.

SeaDAS Walk Through


Now that you are familiar with the features and tools of the software, you are ready to analyze some data! This step-by-step presentation shows the user how to find data on the OceanColor Web and use the SeaDAS software package to perform analyses and processing to create the desired end product. View

Watch this case study tutorial for a demonstration of SeaDAS tools and concepts.

SeaDAS Tools


SeaDAS has 40+ tools to enhance the user experience. This presentation provides a description of each tool and shows the options associated with them. At the time of this presentation, the software version was 7.4. A preview of version 7.5 statistics is given at the end. A description of tools added after this version can be found in the release notes version. View

The OceanColor Science Software (OCSSW) cookbook contains useful data analysis recipes for your reference.

Graph Processing Tool (GPT)


Learn about the relationship between the Graph Processing Framework (GPF) and the Graph Processing Tool (GPT); constructing directed, acyclic graphs (DAG) of processing nodes; and using the available operators. Explore a use case through the SeaDAS GUI as well as from the command line. View

A GPT cookbook is available, which demonstrates running various SeaDAS tools from the command line.

SeaDAS IOCS 2023


The slides presented at the SeaDAS Training at IOCS 2023. View