Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division)

Muhammad Zubair Iqbal; Muhammad Javed Iqbal

doi:doi:10.11648/j.ajrs.20180601.17

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Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division)

Muhammad Zubair Iqbal, Muhammad Javed Iqbal

Published in American Journal of Remote Sensing (Volume 6, Issue 1)

Received: 11 February 2018 Accepted: 8 March 2018 Published: 23 April 2018

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Abstract

Change detection is a process of identifying variations in the substances or marvels which are supposed in the different time interims. This study takes the spatial-temporal dynamics of land use/cover change in Rawalpindi division Punjab Pakistan, using satellite imageries of two different years 2000, 2008. Supervised classification method was applied to demonstrate the object in a certain period of time. The method represents the vegetation index of differencing through object-based and supervised classification along with expert knowledge of GIS. This method gave different results in terms of land cover area, and it's generally concluded most accurate result from spatial images of medium resolution. The result of this process will be used for agriculture, urban and environmental changes in the various time periods. All information leads to the conclusion that surface under land class tabulation will be generated. The result shows vegetation, forest degradation and increase in built-up area with seasonal urbanization. Maps of the land use/land cover changes available in GIS platform can be used for the enhancement of the available tools for urban planning and environmental factor in the area.

Published in	American Journal of Remote Sensing (Volume 6, Issue 1)
DOI	10.11648/j.ajrs.20180601.17
Page(s)	39-51
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), 2018. Published by Science Publishing Group

Keywords

Imagery, Supervised Classification, Land Use Planning, Remote Sensing, Geographical Information System (GIS)

References

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APA Style

Muhammad Zubair Iqbal, Muhammad Javed Iqbal. (2018). Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). American Journal of Remote Sensing, 6(1), 39-51. https://doi.org/10.11648/j.ajrs.20180601.17

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ACS Style

Muhammad Zubair Iqbal; Muhammad Javed Iqbal. Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). Am. J. Remote Sens. 2018, 6(1), 39-51. doi: 10.11648/j.ajrs.20180601.17

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AMA Style

Muhammad Zubair Iqbal, Muhammad Javed Iqbal. Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). Am J Remote Sens. 2018;6(1):39-51. doi: 10.11648/j.ajrs.20180601.17

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@article{10.11648/j.ajrs.20180601.17,
  author = {Muhammad Zubair Iqbal and Muhammad Javed Iqbal},
  title = {Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division)},
  journal = {American Journal of Remote Sensing},
  volume = {6},
  number = {1},
  pages = {39-51},
  doi = {10.11648/j.ajrs.20180601.17},
  url = {https://doi.org/10.11648/j.ajrs.20180601.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20180601.17},
  abstract = {Change detection is a process of identifying variations in the substances or marvels which are supposed in the different time interims. This study takes the spatial-temporal dynamics of land use/cover change in Rawalpindi division Punjab Pakistan, using satellite imageries of two different years 2000, 2008. Supervised classification method was applied to demonstrate the object in a certain period of time. The method represents the vegetation index of differencing through object-based and supervised classification along with expert knowledge of GIS. This method gave different results in terms of land cover area, and it's generally concluded most accurate result from spatial images of medium resolution. The result of this process will be used for agriculture, urban and environmental changes in the various time periods. All information leads to the conclusion that surface under land class tabulation will be generated. The result shows vegetation, forest degradation and increase in built-up area with seasonal urbanization. Maps of the land use/land cover changes available in GIS platform can be used for the enhancement of the available tools for urban planning and environmental factor in the area.},
 year = {2018}
}

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TY - JOUR
T1 - Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division)
AU - Muhammad Zubair Iqbal
AU - Muhammad Javed Iqbal
Y1 - 2018/04/23
PY - 2018
N1 - https://doi.org/10.11648/j.ajrs.20180601.17
DO - 10.11648/j.ajrs.20180601.17
T2 - American Journal of Remote Sensing
JF - American Journal of Remote Sensing
JO - American Journal of Remote Sensing
SP - 39
EP - 51
PB - Science Publishing Group
SN - 2328-580X
UR - https://doi.org/10.11648/j.ajrs.20180601.17
AB - Change detection is a process of identifying variations in the substances or marvels which are supposed in the different time interims. This study takes the spatial-temporal dynamics of land use/cover change in Rawalpindi division Punjab Pakistan, using satellite imageries of two different years 2000, 2008. Supervised classification method was applied to demonstrate the object in a certain period of time. The method represents the vegetation index of differencing through object-based and supervised classification along with expert knowledge of GIS. This method gave different results in terms of land cover area, and it's generally concluded most accurate result from spatial images of medium resolution. The result of this process will be used for agriculture, urban and environmental changes in the various time periods. All information leads to the conclusion that surface under land class tabulation will be generated. The result shows vegetation, forest degradation and increase in built-up area with seasonal urbanization. Maps of the land use/land cover changes available in GIS platform can be used for the enhancement of the available tools for urban planning and environmental factor in the area.
VL - 6
IS - 1
ER -

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Author Information

Muhammad Zubair Iqbal

University Institute of Information Technology, Peer Mahar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
Muhammad Javed Iqbal

Department of Geo- Informatics, Peer Mahar Ali Shah Arid Agriculture University, Rawalpindi, Pakistan

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APA Style

Muhammad Zubair Iqbal, Muhammad Javed Iqbal. (2018). Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). American Journal of Remote Sensing, 6(1), 39-51. https://doi.org/10.11648/j.ajrs.20180601.17

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ACS Style

Muhammad Zubair Iqbal; Muhammad Javed Iqbal. Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). Am. J. Remote Sens. 2018, 6(1), 39-51. doi: 10.11648/j.ajrs.20180601.17

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AMA Style

Muhammad Zubair Iqbal, Muhammad Javed Iqbal. Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division). Am J Remote Sens. 2018;6(1):39-51. doi: 10.11648/j.ajrs.20180601.17

Copy | Download

@article{10.11648/j.ajrs.20180601.17,
  author = {Muhammad Zubair Iqbal and Muhammad Javed Iqbal},
  title = {Land Use Detection Using Remote Sensing and GIS (A Case Study of Rawalpindi Division)},
  journal = {American Journal of Remote Sensing},
  volume = {6},
  number = {1},
  pages = {39-51},
  doi = {10.11648/j.ajrs.20180601.17},
  url = {https://doi.org/10.11648/j.ajrs.20180601.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20180601.17},
  abstract = {Change detection is a process of identifying variations in the substances or marvels which are supposed in the different time interims. This study takes the spatial-temporal dynamics of land use/cover change in Rawalpindi division Punjab Pakistan, using satellite imageries of two different years 2000, 2008. Supervised classification method was applied to demonstrate the object in a certain period of time. The method represents the vegetation index of differencing through object-based and supervised classification along with expert knowledge of GIS. This method gave different results in terms of land cover area, and it's generally concluded most accurate result from spatial images of medium resolution. The result of this process will be used for agriculture, urban and environmental changes in the various time periods. All information leads to the conclusion that surface under land class tabulation will be generated. The result shows vegetation, forest degradation and increase in built-up area with seasonal urbanization. Maps of the land use/land cover changes available in GIS platform can be used for the enhancement of the available tools for urban planning and environmental factor in the area.},
 year = {2018}
}

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