Computer Science – Learning
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmed53a0586d&link_type=abstract
American Geophysical Union, Fall Meeting 2008, abstract #ED53A-0586
Computer Science
Learning
0520 Data Analysis: Algorithms And Implementation, 0525 Data Management, 0530 Data Presentation And Visualization, 0540 Image Processing, 0850 Geoscience Education Research
Scientific paper
In the past several decades, huge amounts of Earth science data have been collected mainly through remote sensing. Those data are of great importance in Earth science education and research for human societies to better understand how the Earth is functioning as a system, to protect our home planet and to improve our life. Data access and analysis play vital roles in the multidisciplinary Earth science education and research. However, Earth science data access and analysis are always very difficult and challenging due to the complexities of the Earth science data and vast computing resources required for using those data. In order to better serve Earth science education and research needs, a NASA-funded project, named as GeoBrain, targets to facilitate Earth science data access and analysis by integrating enormous volumes of online- available satellite image data and advanced Web service technologies. The GeoBrain project develops an interoperable, three-tier, and Web-based data, information and knowledge building system. The system has implemented many cutting-edge capabilities in Earth science data discovery, visualization, access and analysis. Through its Catalogue Federation Service, GeoBrain enables the user a single point access to worldwide distributed multiple data resources. GeoBrain Data Download Web Portal with interoperable, personalized, on-demand data access and services (IPODAS), enables users to get data in the exact form (format, projection, coverage, resolution, etc.) they want. GeoBrain Online Analysis System (GeOnAS) enables the user to preprocess and do analysis of any parts of data available through GeoBrain system so that the user can get advanced information products as well as customized data products. In general, GeoBrain provides a data-rich online learning and research environment enabled by wealthy data and information available at NASA Earth Observing System (EOS) Data and Information System (EOSDIS). Students, faculty members, and researchers from institutes worldwide can easily access, analyze, and model with the huge amount of NASA EOS data just like they possess such vast resources locally at their desktops. GeoBrain solves most current problems in accessing and analyzing Earth science data and removes difficulties of using those data in Earth science education and research. It makes some formerly impossible work solvable or very difficult scientific tasks much easier to be implemented. For illustration, a GeoBrain team of developers, scientists, and educators from multiple organizations is formed within the AccessData 2008 workshop to test the performance of GeoBrain in data access and analysis, to explore the potentials of GeoBrain in answering scientific questions, and to promote innovative GeoBrain methods in data access and analysis for classroom teaching and student research. The experiences and lessons learned are used to guide the further development of GeoBrain. Based on survey results, GeoBrain data access and analysis capabilities have made great impacts in Earth sciences education and research.
Deng Mingxia
di Lun
Granshaw F.
Luo Wenchen
Taber Mike
No associations
LandOfFree
GeoBrain Data Access and Analysis For Earth Science Education and Research does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with GeoBrain Data Access and Analysis For Earth Science Education and Research, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and GeoBrain Data Access and Analysis For Earth Science Education and Research will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1242024