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A Feasibility Study on Applying Remotely Sensed data for Agricultural Management in Beyza Land

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 8
Year of Publication: 2014
Authors:
S. Abbas Montaseri
Reza Javidan
10.5120/17390-7932

Abbas S Montaseri and Reza Javidan. Article: A Feasibility Study on Applying Remotely Sensed data for Agricultural Management in Beyza Land. International Journal of Computer Applications 99(8):1-5, August 2014. Full text available. BibTeX

@article{key:article,
	author = {S. Abbas Montaseri and Reza Javidan},
	title = {Article: A Feasibility Study on Applying Remotely Sensed data for Agricultural Management in Beyza Land},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {8},
	pages = {1-5},
	month = {August},
	note = {Full text available}
}

Abstract

Today, because of increasing demands for agricultural products and existence of restrictions against resources such as lack of natural water resources for producing agricultural products using traditional methods, it is a need to use modern techniques such as satellite remote sensing to manage natural resources. The need for agriculture is to increase the production by optimum utilization of resources. Remote sensing satellites could be a good option for water and nutrient requirement and disease detection. In this paper a feasibility study is carried out for using remote sensing images for managing agricultural resources in the area of Beyza, a land in Fars province in Iran. After a study on availability of different imagery resources covered this area and the way of accessing such data in a good manner, ETM+ of Landsat satellite is selected as the source of data. After that the image processing steps required for extracting useful information are discussed and finally a practical model is proposed that should be implemented for applying the model on the real condition. The simulation results based on prototype data and previous studies showed the effectiveness of the proposed model.

References

  • Liaghat S. and Balasundram S. K. . 2010. A Review: The Role of Remote Sensing in Precision Agriculture. American Journal of Agricultural and Biological Sciences 5 (1): 50-55.
  • Hooda R. S. , Yadav Manoj and Kalubarme M. H. . Wheat Production Estimetion Using Remote Sensing Data: an Indian Experience. In Proceedings of Workshop on Remote sensing support to crop yield forecast and area estimates.
  • Barzegar F. and Farrokhi Sh. . 1995. Remote Sensing and its Applcations in Oceanography and Marine resources. Iranian National Cententer for Oceanography (INCO).
  • Curran Paul J. . 1995. Principels of Remote Sensing, Longman scientific & Technical.
  • Lotfi Sedigeh. 2001. Remote Sensing for Urban Growth in Northern Iran. In Proceeding of 22th Asian Conference on Remote Sensing, 5-9 Nov, Singapore.
  • Ray Shbendu Shankar, Singh J. P. and a Panigrahy Sushm. 2010. Use of Hyperspectral Remote Sensing Data for Crop Stress Detection: Ground-Based Studies. International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Vol. xxxviii, Part 8, Japan.
  • Iranian Space Agency Website: http://www. isa. ir [accessed September 2012].
  • http://landsat. usgs. gov [accessed June 2014]
  • Tuia Devis and Camps-Valls Gustavo. 2009. Recent advances in remote sensing image processing. In Proceedings of the 16th IEEE international conference on Image processing, November 07-10, Cairo, EgyptBowman.
  • Hadjimitsis D. G. , Papadavid G. , Agapiou A. , Themistocleou K. , Hadjimitsis M. G. , Retalis A. , Michaelides S. , Chrysoulakis N. , Toulios L. and Clayton C. R. I. 2010. Atmospheric correction for satellite remotely sensed data intended for agricultural applications: impact on vegetation indices. Nat. Hazards Earth Syst. Sci. , 10, 89–95.
  • Montaseri S. A. and javidan Reza. 2012. A Feasibility Study on Applying Remotely Sensed data for Agricultural Management in Beyza Land. A Technical Report, Beyza Branch, Islamic Azad University.