Visual Data Analysis for Satellites

The Visual Data Analysis Package is a collection of programs and scripts that facilitate visual analysis of data available from NASA and NOAA satellites, as well as dropsonde, buoy, and conventional in-situ observations. The package features utilities for data extraction, data quality control, statistical analysis, and data visualization. The Hierarchical Data Format (HDF) satellite data extraction routines from NASA's Jet Propulsion Laboratory were customized for specific spatial coverage and file input/output. Statistical analysis includes the calculation of the relative error, the absolute error, and the root mean square error. Other capabilities include curve fitting through the data points to fill in missing data points between satellite passes or where clouds obscure satellite data. For data visualization, the software provides customizable Generic Mapping Tool (GMT) scripts to generate difference maps, scatter plots, line plots, vector plots, histograms, timeseries, and color fill images

Object-Oriented Multimedia Databases: Making and Management

Today data retrieval is not only restricted to text, but has taken the form of sound and images. Multimedia data is defined as data in the form of text, sound and images. Manipulating and accessing such type of data requires an extensive approach for building a database system. A number of systems have been developed which integrate graphical representation with a DBMS to broaden the bandwidth of information transfer between the computer and the user. The objectoriented approach to multimedia databases adds flexibility for specialized applications in a multimedia environment. On the other hand, management of such a type of data in terms of storage and distribution is also a major task. This paper examines the basic concept of data manipulation in the object-oriented paradigm and its end-user outlook. Furthermore, consideration has been given to the storage requirements and the distribution of multimedia data