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Authors: Thi Nhat Thanh Nguyen 1 ; Simone Mantovani 2 ; Piero Campalani 1 and Gian Piero Limone 1

Affiliations: 1 University of Ferrara, Italy ; 2 MEEO S.r.l. and SISTEMA GmbH, Italy

ISBN: 978-989-8425-99-7

ISSN: 2184-4313

Keyword(s): Aerosol optical thickness, Downscaling, 1 km2 spatial resolution, Support vector regression, MODIS, Local monitoring, Air pollution, Remote sensing.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Understanding ; Image-Based Modeling ; Pattern Recognition ; Sensors and Early Vision ; Software Engineering

Abstract: Processing of data recorded by MODIS sensors on board the polar orbiting satellite Terra and Aqua usually provides Aerosol Optical Thickness maps at a coarse spatial resolution. It is appropriate for applications of air pollution monitoring at the global scale but not adequate enough for monitoring at local scales. Different from the traditional approach based on physical algorithms to downscale the spatial resolution, in this article, we propose a methodology to derive AOT maps over land at 1 km2 of spatial resolution from MODIS data using support vector regression relied on domain knowledge. Experiments carried out on data recorded in three years over Europe areas show promising results on limited areas located around ground measurement sites where data are collected to make empirical data models as well as on large areas over satellite maps.

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Paper citation in several formats:
Nhat Thanh Nguyen, T.; Mantovani, S.; Campalani, P. and Piero Limone, G. (2012). DOWNSCALING AEROSOL OPTICAL THICKNESS TO 1 KM2 SPATIAL RESOLUTION USING SUPPORT VECTOR REGRESSION REPLIED ON DOMAIN KNOWLEDGE.In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8425-99-7, ISSN 2184-4313, pages 230-239. DOI: 10.5220/0003791302300239

@conference{icpram12,
author={Thi Nhat Thanh Nguyen. and Simone Mantovani. and Piero Campalani. and Gian Piero Limone.},
title={DOWNSCALING AEROSOL OPTICAL THICKNESS TO 1 KM2 SPATIAL RESOLUTION USING SUPPORT VECTOR REGRESSION REPLIED ON DOMAIN KNOWLEDGE},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2012},
pages={230-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003791302300239},
isbn={978-989-8425-99-7},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - DOWNSCALING AEROSOL OPTICAL THICKNESS TO 1 KM2 SPATIAL RESOLUTION USING SUPPORT VECTOR REGRESSION REPLIED ON DOMAIN KNOWLEDGE
SN - 978-989-8425-99-7
AU - Nhat Thanh Nguyen, T.
AU - Mantovani, S.
AU - Campalani, P.
AU - Piero Limone, G.
PY - 2012
SP - 230
EP - 239
DO - 10.5220/0003791302300239

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