Grid Service Implementation of Aerosol Optical Thickness Retrieval over Land from MODIS | SpringerLink
Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

Included in the following conference series:

  • 822 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Aloisio, G., Cafaro, M.: A dynamic Earth observation system. Parallel Computing 29(10), 1357–1362 (2003)

    Article  Google Scholar 

  • Aloisio, G., Cafaro, M., Epicoco, I., Quarta, G.: A problem solving environment for remote sensing data processing. In: Proceeding of ITCC 2004: International Conference on Information Technology: Coding and Computing held in Las Vegas, NV, USA, on April 5-7, vol. 2, pp. 56–61 (2004)

    Google Scholar 

  • Cai, G.Y., Xue, Y., Tang, J.K., Wang, J.Q., Wang, Y.G., Luo, Y., Hu, Y.C., Zhong, S.B., Sun, X.S.: Experience of remote sensing information modelling with grid computing. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 989–996. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  • Cannataro, M.: Clusters and grids for distributed and parallel knowledge discovery. In: Williams, R., Afsarmanesh, H., Bubak, M., Hertzberger, B. (eds.) HPCN-Europe 2000. LNCS, vol. 1823, pp. 708–716. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  • Hu, Y., Xue, Y., Tang, J., Zhong, S., Cai, G.: Data-parallel method for georeferencing of MODIS level 1B data using grid computing. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3516, pp. 883–886. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  • Running, S.W., Justice, C.O., Salomonson, V.V., Hall, D., Barker, J., Kaufman, Y.J., Strahler, A.H., Huete, A.R., Muller, J.-P., Vanderbilt, V., Wan, Z.M., Teillet, P., Carneggie, D.: Terrestrial remote sensing science and algorithms planned for EOS/MODIS. International Journal of Remote Sensing 15(17), 3587–3620 (1994)

    Article  Google Scholar 

  • Jiakui, T., Yong, X., Tong, Y., Yanning, G., Guoyin, C., Yincui, H.: Aerosol Optical Thickness Determination for Land Surface from MODIS data. Science in China (Ser. D Earth Sciences) 35(5), 1–8 (2005)

    Google Scholar 

  • Jiakui, T., Yong, X., Tong, Y., Yanning, G.: Aerosol Optical Thickness Determination by Exploiting the Synergy of TERRA and AQUA MODIS (SYNTAM). Remote Sensing of Environment 94(3), 327–334 (2005)

    Article  Google Scholar 

  • Wang, J., Sun, X., Xue, Y., Hu, Y., Luo, Y., Wang, Y., Zhong, S., Zhang, A., Tang, J., Cai, G.: Preliminary study on unsupervised classification of remotely sensed images on the grid. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 981–988. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of, Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P. O. Box 9718, Beijing, 100101, China

    Yincui Hu, Yong Xue, Guoyin Cai, Chaolin Wu, Jianping Guo, Ying Luo, Wei Wan & Lei Zheng

  2. Department of Computing, London Metropolitan University, 166-220 Holloway Road, London, N7 8DB, UK

    Yong Xue

  3. Graduate School of the Chinese Academy of Sciences, Beijing, China

    Jianping Guo, Ying Luo, Wei Wan & Lei Zheng

Authors
  1. Yincui Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yong Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guoyin Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chaolin Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jianping Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ying Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Wei Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Lei Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hu, Y. et al. (2006). Grid Service Implementation of Aerosol Optical Thickness Retrieval over Land from MODIS. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_117

Download citation

  • DOI: https://doi.org/10.1007/11751632_117

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics