Incremental Clustering Algorithm for Earth Science Data Mining
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Phenological event detection from multitemporal image data
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
An open source virtual globe framework for iOS, Android and WebGL compliant browser
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
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We demonstrate an interactive visualization and analysis system for integrating climate data with other geospatial data sets, such as environmental and demographic data. The iGlobe system is a desktop-based visualization and analysis environment which allows seamless integration of multiple geospatial data sets from varied sources and provides an interface to interactively analyze the different data sets and apply sophisticated data analysis and mining algorithms in a near real time fashion. The framework is highly desirable in domains such as earth and climate sciences where great emphasis is placed on simultaneous analysis of different data sets such as remote sensing images, climate model simulation outputs, and other environmental and demographic databases, to understand weather and climate systems and the impact of climate change on nature and people.