Grid-enabled high-performance quantitative aerosol retrieval from remotely sensed data

Computers and Geosciences

Volumn 37, Issue 2, 2011, Pages 202-206

  Xue, Yong ^a,b   Ai, Jianwen ^c,e   Wan, Wei ^d   Guo, Huadong ^a   Li, Yingjie ^c,e   Wang, Ying ^c,e   Guang, Jie ^c,e   Mei, Linlu ^c,e   Xu, Hui ^c,e  

^a CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^b LONDON METROPOLITAN UNIVERSITY   (United Kingdom)

^c BEIJING NORMAL UNIVERSITY   (China)

^d China Center for Resource Satellite Data and Application   (China)

^e UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Aerosol optical thickness; Grid computing; High throughput computing; Remote sensing.

Indexed keywords

AEROSOL OPTICAL THICKNESS; AEROSOL RETRIEVAL; COMPLEX COMPUTING; GRID SERVICES; GRID WORKFLOWS; HIGH-THROUGHPUT COMPUTING; PETABYTES; REMOTELY SENSED DATA; RETRIEVAL APPLICATIONS; SENSING PROBLEMS; TASK PARTITION;

ALGORITHMS; ATMOSPHERIC AEROSOLS; REMOTE SENSING;

GRID COMPUTING;

AEROSOL; ALGORITHM; QUANTITATIVE ANALYSIS; REMOTE SENSING;

EID: 78751627155     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2010.07.004     Document Type: Article

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