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- Title
Asynchronous Grid LMF Processing of Vegetation Index for Asia.
- Authors
Akhter, S.; Aida, K.; Chemin, Y.
- Abstract
Vegetation Index Map provides the crop density information over a precise region. Remote Sensing (RS) images are at the basis of creating such map, while the decision-maker requirement stands for Vegetation Index Maps at various in-country administrative levels. However, RS image includes data noises due to influence of haze or cloud especially in the rainy season. Temporally splined procedure such as Local Maximum Fitting (LMF) can be applied on RS images for ensuring the data consistency. Running the LMF procedure on a single computer, takes impractical amount of processing time (approx. 150 days) for Asia regional RS image (46 images/year, 3932 rows, 11652 columns). Importing the LMF on distributed platforms provides with a time optimization mechanism, and was ported on cluster computers before, with non acceptable timing performance. In this paper, LMF processing methodology is improved to reduce the processing time by combining the parallelization of data and task together on multi-cluster grids.
- Subjects
INDEX maps; REMOTE sensing; METHODOLOGY; AEROSPACE telemetry; RADAR; MATHEMATICAL optimization
- Publication
International Journal of Geoinformatics, 2008, Vol 4, Issue 4, p39
- ISSN
1686-6576
- Publication type
Article