Title :
Cyber infrastructure for Community Remote Sensing
Author :
Rajasekar, Arcot ; Moore, Reagan W. ; Wan, Mike ; Schroeder, Wayne
Author_Institution :
Data Intensive Cyber Environments Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Abstract :
Community Remote Sensing (CRS) is an emerging field where information is collected about the environment by the general public and then integrated into collections to provide a holistic view of the environment with local details. We argue the need for a common architecture for the cyber-infrastructure that will be necessary to cater to the needs of Community Remote Sensing systems. We identify the challenges that such a cyber infrastructure (CRS-CI) has to meet and also proposed five principles as solutions to meet these challenges. Finally, we also describe the integrated Rule Oriented Data System, a data grid middleware that is built upon these principles which provides an ideal and exemplar implementation for CRS-CI.
Keywords :
grid computing; middleware; remote sensing; Cyber infrastructure; community remote sensing; cyber infrastructure; data grid middleware; integrated rule oriented data system; Communities; Computer architecture; Data systems; Distributed databases; Organizations; Remote sensing; Standards organizations; community remote sensing; cyber infrastructure; data grids; iRODS;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650855