Experiences in building a Grid-based platform to serve Earth observation training activities |
| |
| Affiliation: | 1. School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa;2. Faculties of Mathematics and Computer Science, West University of Timisoara, Timisoara, Romania;1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;2. Joint Center for Global Change Studies, Beijing 100875, China;3. Delft University of Technology, Delft, The Netherlands;4. University of Chinese Academy of Sciences, Beijing 100049, China;1. Faculty of Computers and Information, Minia University, Minia, Egypt;2. Faculty of Computers and Information, Kafrelsheikh University, Kafrelsheikh, Egypt;3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore |
| |
| Abstract: | Earth observation data processing and storing can be done nowadays only using distributed systems. Experiments dealing with a large amount of data are possible within the timeframe of a lesson and can give trainees the freedom to innovate. Following these trends and ideas, we have built a proof-of-the-concept platform, named GiSHEO, for Earth observation educational tasks. It uses Grid computing technologies to analyze and store remote sensing data, and combines them with eLearning facilities. This paper provides an overview of the GiSHEO's platform architecture and of its technical and innovative solutions. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
