KEYWORDS: Visualization, Information visualization, Visual analytics, Data modeling, Internet, Data processing, Image processing, Remote sensing, Data centers, Analytical research
The visualization results of multi-dimensional and dynamically spatio-temporal information are diversified by the
varying user demands. To realize the sharing of spatio-temporal data, information and knowledge, this paper proposes a
technical framework for on-line generation and distribution of the visualization of spatio-temporal information to meet
personality need from difference level user; then, describes the key technologies that are involved; final, introduces the
implementation and application of the system by taking a marine disaster information system as an example.
KEYWORDS: Remote sensing, Satellites, Data modeling, Geographic information systems, Process modeling, Visualization, Web services, Visual analytics, Data analysis, Ocean optics
This paper proposed a scientific work flow system framework to realize information automatically extracted for satellite remote sensing data. The article first discusses the importance of automatic extraction of knowledge for remote sensing data; second, introduces definition, development, and types of scientific work flow technology, and adopt WebService-based technology to building scientific work flow; then, describes the implementation of spatio-temporal work flow management system (STWFMS); finally, two application system of remote sensing data were introduced to
demonstrate automated knowledge extraction based on scientific workflow.
In this study, a marine and atmospheric spatio-temporal data model (MASTDM) based on satellite remote sensing has
been developed to support the global oceanic and atmospheric research and application in the Marine and Atmospheric
Geographical Information System (MAGIS). MASTDM conceptualizes the spatial distribution and temporal sampling of
the satellite remote sensing data. The model has provided a mechanism service to store data and some subroutines to
retrieve and manipulate data. These subroutines can be classified into the fundamental functions (definition, access,
inquiry, export) and the advanced functions (transform, operation, validation and mend and etc). MASTDM is not only a
solid foundation of the three modules (database management, spatial-temporal analysis and visualization) of MAGIS,
but also a key to integrate these three modules seamlessly. In this paper, the conceptual and logical designs of MASTDM
have been presented. A prototype system based on MASTDM has been implemented in MAGIS, it is also illustrated by
some case study.
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