Abstract
Earth Science data and particularly the satellite images supplies important information on status and dynamics of earth covering vegetation. The development of environment applications is a challenge for Grid technologies and software development methodologies. This paper exemplifies and experiments the development of the GreenView application over SEE-GRID infrastructure by the Grid Application Development Methodology. The paper highlights through the ESIP and gProcess platforms based methodology the steps of the GreenView development. The application reveals three main functionalities—refinement of the satellite image resolution, field measurements based calibration and satellite image classification by vegetation index computation. A few experiments evaluate the execution time of the tasks at four sites of the SEE-GRID infrastructure.
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Acknowledgment
This research is supported by SEE-GRID-SCI (SEE-GRID eInfrastructure for regional eScience) project, funded by the European Commission through the contract nr RI-211338. Research is also supported by Hungarian Scientific Research Fund (OTKA K68253). Gyo¨ rgyi Gelybo´ acknowledges support by the Hungarian State Eo¨ tvo¨ s Fellowship. Climate change data have been retrieved from the PRUDENCE [14] data archive funded by the EU through contract EVK2- CT2001-00132. MODIS data [15] have been produced and distributed by NASA through the EOS Data Gateway system. BIOME-BGC version 4.1.1 was provided by the Numerical Terradynamic Simulation Group (NTSG) at the University of Montana. NTSG assumes no responsibility for the proper use of Biome-BGC by others [16]. Authors would also like to thank Dr. Galina Churkina (Leibniz-Centre for Agricultural Landscape Research) for her help in this study.
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Mihon, D., Bacu, V., Gorgan, D. et al. Practical considerations on the GreenView application development and execution over SEE-GRID. Earth Sci Inform 3, 247–258 (2010). https://doi.org/10.1007/s12145-010-0066-z
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DOI: https://doi.org/10.1007/s12145-010-0066-z