Remote Sensed Image Processing on Grids for Training in Earth Observation

A case study: Grid services for satellite image processing

“…The codes must be rewritten by the user in order to perform various tasks which are split to speed up the computation for satellite image processing. The transfer of intact images must be avoided because satellite images carry enormous sizes (12). Hence, the splitting of images and tasks is preferable.…”

“…Furthermore, it involves reciprocation of data and images from space to earth every second. The computational analysis of this massive amount of data requires efficient technology for remote sensing (1). Grid services are an essential platform that is anticipated to make reliable handling of data and distribution among users simultaneously.…”

Development of Grid e-Infrastructure in South-Eastern Europe

“…Out of this, SEE-GRID-SCI and national VOs amounted to 16.4 million CPU hours or 1872 CPU years (73%). The total utilization of dedicated resources (based on the average number of 1050 available CPUs) was quite high, around 89%, and this has attracted the growth of supported user communities, and enabled them to achieve the enormous amount of new scientific results, as can be seen by the large number of scientific papers published in per-reviewed research journals [33,34,35,36,37,38] and presented at numerous scientific conferences [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. The project itself has organized SEE-GRID-SCI User Forum in December 2009, where the most significant results were presented.…”

“…The other problem tackled within this VO is the reproduction/forecasting of the airflow over complex terrain. -Environmental Protection VO supports eight applications [22,23,24,25,26,27,28,29,30,31,32] focusing on environmental protection/response and environmentoriented satellite image processing.…”