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Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network

Received: 21 October 2014     Accepted: 23 October 2014     Published: 31 October 2014
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Abstract

Analysis of changes in natural resources is one of the fundamental issues in remote sensing. Several research studies regarding the process of changes in natural resources using satellite imageries and image processing techniques have been done. Anzali pond is one of the important ecosystems in Iran that under the impact of some factors such as drought has the gradual drying trend over the last years. This study measures the area of basin surface and predicts the process of changes in the climate of the pond neighborhood during the next years, using GMDH neural network. Satellite imagery and meteorological data is used for this analysis. The final results represent reduction in area from 82 km^2 in 1998 to 51 km^2 in 2010. The average depth of the pond decreased to less than 4m in 2010 from 9m in 1998. The main reason for this reduction is diversion of rivers, sediment entering and changes in land use around the pond. If this trend continues, the amount of pollutants and toxins will reach to warning and this is a serious threat for animals and pond dwellers.

Published in International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)

This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries

DOI 10.11648/j.ijiis.s.2014030601.22
Page(s) 67-70
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Anzali Pond, Remote Sensing, Image Processing, GMDH Neural Network

References
[1] S.L., Ozesmi, E. M., Bauer. “Satellite Remote Sensing of Wetlands. Wetlands Ecology and, Management”, Vol.10, pp.381-402, 2002.
[2] M. Abbaspour, and Nazaridoust, “Determination of Environmental Water Requirements of Lake Urmia, Iran: an Ecological Approach”, International Journal of Environmental Studies, Vol.64, pp.161-169, 2007.
[3] E. De Roeck, K, Jones, “Integrating Remote Sensing and Wetland Ecology: a Case Study on South African Wetlands”, pp.1-5, 2008.
[4] T. Qulin, Y. Shao, S. Yang, Q. Wei, “Wetland Vegetation Biomass Estimation Using Landsat-7 ETM+ Data”, Geoscience and Remote Sensing Symposium, Vol.4, pp. 2629 – 2631, 2003.
[5] G. Zhaoning, G. Huili, Z. Wenji, L. Xiaojuan, H. Zhuowei, “Using RS and GIS to Monitoring Beijing Wetland Resources Evolution”, Geoscience and Remote Sensing Symposium IEEE International, Vol.23, pp.4596 – 4599, 2007.
[6] J. Harken, and J. Gerjevic, Using Remote Sensing Data to Study Wetland Dynamics in Iowa. Grant (Seed) Final Technical Report, University of Northern Lowa, 2004.
[7] A.G., Ivakhnenko, “Polynomial Theory ofComplex Systems”, Systems. Man &Cybernetics. IEEE Transaction, Vol.SMC-1, pp.364-378, 1971.
[8] S.J. Farlow, et al., Self-organizing Method inModeling: GMDH type algorithm, MarcelDekker Inc., 1984.
[9] A. Darvizeh, N. Nariman-Zadeh, and H. Gharababei, “GMDH-Type NeuralNetwork Modelling of Explosive CuttingProcess of Plates Using Singular ValueDecomposition”, Systems Analysis Modelling Simulation,Vol.43, pp.1383-1397, 2003.
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  • APA Style

    Farshad Parhizkar Miandehi, Asadollah Shahbahrami. (2014). Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network. International Journal of Intelligent Information Systems, 3(6-1), 67-70. https://doi.org/10.11648/j.ijiis.s.2014030601.22

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    ACS Style

    Farshad Parhizkar Miandehi; Asadollah Shahbahrami. Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 67-70. doi: 10.11648/j.ijiis.s.2014030601.22

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    AMA Style

    Farshad Parhizkar Miandehi, Asadollah Shahbahrami. Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network. Int J Intell Inf Syst. 2014;3(6-1):67-70. doi: 10.11648/j.ijiis.s.2014030601.22

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  • @article{10.11648/j.ijiis.s.2014030601.22,
      author = {Farshad Parhizkar Miandehi and Asadollah Shahbahrami},
      title = {Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network},
      journal = {International Journal of Intelligent Information Systems},
      volume = {3},
      number = {6-1},
      pages = {67-70},
      doi = {10.11648/j.ijiis.s.2014030601.22},
      url = {https://doi.org/10.11648/j.ijiis.s.2014030601.22},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.22},
      abstract = {Analysis of changes in natural resources is one of the fundamental issues in remote sensing. Several research studies regarding the process of changes in natural resources using satellite imageries and image processing techniques have been done. Anzali pond is one of the important ecosystems in Iran that under the impact of some factors such as drought has the gradual drying trend over the last years. This study measures the area of basin surface and predicts the process of changes in the climate of the pond neighborhood during the next years, using GMDH neural network. Satellite imagery and meteorological data is used for this analysis. The final results represent reduction in area from 82 km^2 in 1998 to 51 km^2 in 2010. The average depth of the pond decreased to less than 4m in 2010 from 9m in 1998. The main reason for this reduction is diversion of rivers, sediment entering and changes in land use around the pond. If this trend continues, the amount of pollutants and toxins will reach to warning and this is a serious threat for animals and pond dwellers.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Area and Depth Investigation of Anzali Pond Using Satellite Imageries and Group Method of Data Handling Neural Network
    AU  - Farshad Parhizkar Miandehi
    AU  - Asadollah Shahbahrami
    Y1  - 2014/10/31
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijiis.s.2014030601.22
    DO  - 10.11648/j.ijiis.s.2014030601.22
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 67
    EP  - 70
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.s.2014030601.22
    AB  - Analysis of changes in natural resources is one of the fundamental issues in remote sensing. Several research studies regarding the process of changes in natural resources using satellite imageries and image processing techniques have been done. Anzali pond is one of the important ecosystems in Iran that under the impact of some factors such as drought has the gradual drying trend over the last years. This study measures the area of basin surface and predicts the process of changes in the climate of the pond neighborhood during the next years, using GMDH neural network. Satellite imagery and meteorological data is used for this analysis. The final results represent reduction in area from 82 km^2 in 1998 to 51 km^2 in 2010. The average depth of the pond decreased to less than 4m in 2010 from 9m in 1998. The main reason for this reduction is diversion of rivers, sediment entering and changes in land use around the pond. If this trend continues, the amount of pollutants and toxins will reach to warning and this is a serious threat for animals and pond dwellers.
    VL  - 3
    IS  - 6-1
    ER  - 

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Author Information
  • Electronic and Computer Faculty, Islamic Azad University of Zanjan, Zanjan, Iran

  • Engineering faculty, University of Guilan, Rasht, Iran

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