Grid Service Implementation of Aerosol Optical Thickness Retrieval over Land from MODIS

• Published in: Computational Science and Its Applications - ICCSA 2006 pp. 1090 - 1097
• Main Authors: Hu, Yincui, Xue, Yong, Cai, Guoyin, Wu, Chaolin, Guo, Jianping, Luo, Ying, Wan, Wei, Zheng, Lei
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Aerosol Optical Thickness; Algorithmics. Computability. Computer arithmetics; Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Exact sciences and technology; Grid Environment; Grid Resource; Information systems. Data bases; Memory organisation. Data processing; MODIS Data; Remote Sensing; Software; Theoretical computing; High performance; Personal computing; Database query; Clouds; Information system; Grid; Web service; Data processing; Distributed system; Remote sensing; Surveillance; Query processing; Information processing; Vegetation; Aerosols; Monitoring
• ISBN: 3540340777; 9783540340775; 354034070X; 9783540340706
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11751632_117

To derive the actual land surface information quantitatively, the atmospheric effects should be correctly removed. Atmospheric effects dependent on aerosol particles, clouds and other atmosphere conditions. Aerosol parameters can be retrieved from the remotely sensed data. The retrieved aerosol characters can also be applied to environmental monitoring. To retrieval the aerosol optical thickness over land, many methods have been developed. The most popular one is the dark dense vegetation method. But it is confined to vegetation fields. The SYNTAM method can be used to retrieval aerosol optical thickness over land from MODIS data, no matter whether the land is dark or bright. In this paper, the SYNTAM method is applied to MODIS data for the retrieval of aerosol optical thickness over China. The retrieval process is complicated. And the EMS memory required is too large for a personal computing to run successfully. To solve this problem, the Grid environment is used. Our experiments were performed on the High-Throughput Spatial Information Processing Prototype System based on Grid platform in Institute of Remote Sensing Applications, Chinese Academy of Sciences. The aerosol optical thickness retrieval process is described in this paper. And the detail data query, data pre-processing, job monitoring and post-processing is discussed. Moreover, test results are also reported in this paper.