VEGETATION INDEX MAPS OF ASIA TEMPORALLY SPLINED FOR CONSISTENCY THROUGH A HIGH PERFORMANCE AND GRID SYSTEM

Shamim Akhter, Kento Aida, Yann Chemin

2008

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 with single computer takes impractical amount of processing time (approx. 150 days) for Asia regional RS image (46 bands/dates, 3932 rows, 11652 columns). Importing the LMF on High Performance Computing (HPC) platforms provides with a time optimization mechanism, and LMF has been implemented in cluster computers for this very purpose. A single cluster LMF processing timing still did not perform within an acceptable time range. In this paper, the LMF processing methodology to reduce processing time by combining the parallelization of data and task together on multi-cluster Grids is presented.

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Paper Citation


in Harvard Style

Akhter S., Aida K. and Chemin Y. (2008). VEGETATION INDEX MAPS OF ASIA TEMPORALLY SPLINED FOR CONSISTENCY THROUGH A HIGH PERFORMANCE AND GRID SYSTEM . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-53-1, pages 284-287. DOI: 10.5220/0001885902840287

in Bibtex Style

@conference{icsoft08,
author={Shamim Akhter and Kento Aida and Yann Chemin},
title={VEGETATION INDEX MAPS OF ASIA TEMPORALLY SPLINED FOR CONSISTENCY THROUGH A HIGH PERFORMANCE AND GRID SYSTEM},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2008},
pages={284-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001885902840287},
isbn={978-989-8111-53-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - VEGETATION INDEX MAPS OF ASIA TEMPORALLY SPLINED FOR CONSISTENCY THROUGH A HIGH PERFORMANCE AND GRID SYSTEM
SN - 978-989-8111-53-1
AU - Akhter S.
AU - Aida K.
AU - Chemin Y.
PY - 2008
SP - 284
EP - 287
DO - 10.5220/0001885902840287