Integrated Adaptive Analysis and Visualization of Satellite Network Data, Phase I

Metadata Updated: November 12, 2020

We propose to develop a system that enables integrated and adaptive analysis and visualization of satellite network management data. Integrated analysis and visualization will enable users to see important patterns that span diverse types of satellite network management data, such as the health status of network components, network resource levels, scheduled activities, and resource allocations. This system will simplify the creation of linked visualizations that are implemented as tightly integrated displays showing time-oriented data, schematics, spatial data, and statistical graphics. Adaptive capabilities will enable the system to select appropriate analyses and design visualizations automatically in order to answer higher-level user questions and show data patterns of interest.

During Phase 1, we will acquire a more detailed understanding of the data analysis and visualization requirements, design representative data visualizations, produce a high-level system design, and develop a software prototype that demonstrates the utility and feasibility of our approach. The Phase 2 project will produce TRL 6 data visualization software technologies that support greater situation awareness, enabling NASA to diagnose and manage the SCaN integrated network and other NASA space vehicles and ground-based systems more effectively.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_9471
Data First Published 2011-09-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash cdf6046bd4a93125ca1d68d2ca84c720ff6f7537
Source Schema Version 1.1

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