Thematic Observation Search, Segmentation, Collation and Analysis (TOS2CA)
Description
Thematic Observation Search, Segmentation, Collation and Analysis (TOS2CA) is a user-driven, data-centric system that identifies, collates, statistically characterizes, and serves Earth science data relevant to a given phenomenon. It facilitates the collation and analysis of data from disparate sources and makes it possible for scientists to establish science traceability requirements, quantify detection thresholds, define uncertainty requirements, and establish data sufficiency to formulate truly innovative missions and research investigations.
Version 2.2 of the software includes new features, primarily:
- Python packaging for easier install
- Unit testing
- Documentation updates
- Minor bug fixes
Files
tos2ca-anomaly-detection-2.2.zip
Files
(11.5 MB)
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Additional details
Funding
- National Aeronautics and Space Administration
Software
- Repository URL
- https://nasa-jpl.github.io/tos2ca-documentation/
- Programming language
- Python
- Development Status
- Active