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Cellular Automata and Markov Chain Based Urban Growth Prediction

Yıl 2021, Cilt 8, Sayı 3, 337 - 343, 05.09.2021
https://doi.org/10.30897/ijegeo.781574

Öz

Remote sensing and Geographic Information System (GIS); plays a vital role for studying Land Use Land Cover (LULC) and identifying the main factors for useful outcomes. Assessment of the urban growth pattern is extremely essential as sprawl is seen as one of the potential threats for urban planning. The project has been carried out for the Land Use Land Cover classification of Gandhinagar district of Gujarat state. Gandhinagar city has experienced wide change in LULC in last few decades. It is located at 23.2156° N & 72.6369° E in Gujarat. LULC mapping of Gandhinagar was carried out using LANDSAT Multispectral, TM, ETM+, and OLI/TIRS images for the years 1972, 1977, 1987, 1994, 2000, 2008, 2015 and 2019. Landsat data covers Gandhinagar’s vegetation, Water Bodies, Open Area, Agriculture, and Settlement. The area of interest of Gandhinagar was generated from Landsat data using the digitized boundary of Gandhinagar district. The main objective of this project is to generate LULC using different classification method of remotely sensed data of LANDSAT. In this study Supervised classification method was used to generate level 1 classification. It was done on remotely sensed data in ERDAS Imagine 2014 using semi-automatic classification which includes several classes like Settlement, Agriculture, Vegetation, Water Bodies, Open Area, etc. Moreover, after LULC one new thing was done i.e. accuracy assessment which was necessary to do for accurate result. The study result reveals an increasing and decreasing trend in Land use and Land cover respectively.

Kaynakça

  • 1. JafarNouri · AlirezaGharagozlou · Reza Arjmandi · ShahrzadFaryadi · MahsaAdl, 2012. Predicting Urban Land Use Changes Using a CA–Markov Model. Arab J SciEng DOI 10.1007/s13369-014-1119-2…..
  • 2. Kshama Gupta, 2013. Unprecedented Growth of Dehradun Urban Area: A Spatio- Temporal Analysis. International Journal of Advancement in Remote Sensing, GIS and Geography. …..
  • 3. ThomosHouet and Thomos R. Loveland, 2009. Exploring subtle land use and land cover changes:.. a framework for future landscape studies. Landscape Ecology, volume 25,issue 2,pp 249-266.
  • 4. Mukanda D Behera, Santosh N Borate, Sudhindra N Panda, Priti R Behera and Partha S Roy, 2012. Modelling and analysing the watershed dynamics using Cellular Automata [CA]- Markov model- A geo information based approach. J. Earth syst. SCi.121, No. 4, and pp.1011-1024. ….
  • 5. Pedro Cabral and Alexander Zamyatin, 2008. Markov Processes In Modeling Land Use And Land Cover Changes In Sintra-Cascais, Portugal. Dyna, Año 76, Nro. 158, pp. 191- 198. Medellín, Junio de 2009. ISSN 0012-7353. ….
  • 6. Pontius Jr R.G., and Schneider L.C, (2001), Landcover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA, Agriculture, Ecosystems and Environment, 85,pp 239248. ….
  • 7. Pontius Jr R.G., Huffaker D., and Denman K, (2004), Useful techniques of validation for spatially explicit land change models. Ecological modeling, 179,pp 445461. …………
  • 8. R. E. J. Boerner, Brent G. DeMars, Peter N. Leicht, 1996. Spatial patterns of mycorrhizal infectiveness of soils long a successional chronosequence. Mycorrhiza , volume 6, Issue 2,pp 79-90./….
  • 9. SamerehFalahatkar , Ali Reza Soffianian , SayedJamaleddinKhajeddin , Hamid Reza Ziaee , MozhganAhmadi Nadoushan,2011. Integration of Remote Sensing data and GIS [16] for prediction of land cover map. International Journal of Geomatics and Geosciences Volume 1, No 4.
  • 10. SandeepMaithani, 2010. Cellular automata based Model of Urban spatial growth. Indian Soc Remote Sens, 604-610. ..
  • 11. Thomas Houet, Laurence Hubert-Moy, 2007. Modeling and projecting land-use and land-cover changes with Cellular Automaton in considering landscape trajectories. HAL Id: halshs-00195847

Yıl 2021, Cilt 8, Sayı 3, 337 - 343, 05.09.2021
https://doi.org/10.30897/ijegeo.781574

Öz

Kaynakça

  • 1. JafarNouri · AlirezaGharagozlou · Reza Arjmandi · ShahrzadFaryadi · MahsaAdl, 2012. Predicting Urban Land Use Changes Using a CA–Markov Model. Arab J SciEng DOI 10.1007/s13369-014-1119-2…..
  • 2. Kshama Gupta, 2013. Unprecedented Growth of Dehradun Urban Area: A Spatio- Temporal Analysis. International Journal of Advancement in Remote Sensing, GIS and Geography. …..
  • 3. ThomosHouet and Thomos R. Loveland, 2009. Exploring subtle land use and land cover changes:.. a framework for future landscape studies. Landscape Ecology, volume 25,issue 2,pp 249-266.
  • 4. Mukanda D Behera, Santosh N Borate, Sudhindra N Panda, Priti R Behera and Partha S Roy, 2012. Modelling and analysing the watershed dynamics using Cellular Automata [CA]- Markov model- A geo information based approach. J. Earth syst. SCi.121, No. 4, and pp.1011-1024. ….
  • 5. Pedro Cabral and Alexander Zamyatin, 2008. Markov Processes In Modeling Land Use And Land Cover Changes In Sintra-Cascais, Portugal. Dyna, Año 76, Nro. 158, pp. 191- 198. Medellín, Junio de 2009. ISSN 0012-7353. ….
  • 6. Pontius Jr R.G., and Schneider L.C, (2001), Landcover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA, Agriculture, Ecosystems and Environment, 85,pp 239248. ….
  • 7. Pontius Jr R.G., Huffaker D., and Denman K, (2004), Useful techniques of validation for spatially explicit land change models. Ecological modeling, 179,pp 445461. …………
  • 8. R. E. J. Boerner, Brent G. DeMars, Peter N. Leicht, 1996. Spatial patterns of mycorrhizal infectiveness of soils long a successional chronosequence. Mycorrhiza , volume 6, Issue 2,pp 79-90./….
  • 9. SamerehFalahatkar , Ali Reza Soffianian , SayedJamaleddinKhajeddin , Hamid Reza Ziaee , MozhganAhmadi Nadoushan,2011. Integration of Remote Sensing data and GIS [16] for prediction of land cover map. International Journal of Geomatics and Geosciences Volume 1, No 4.
  • 10. SandeepMaithani, 2010. Cellular automata based Model of Urban spatial growth. Indian Soc Remote Sens, 604-610. ..
  • 11. Thomas Houet, Laurence Hubert-Moy, 2007. Modeling and projecting land-use and land-cover changes with Cellular Automaton in considering landscape trajectories. HAL Id: halshs-00195847

Ayrıntılar

Birincil Dil İngilizce
Konular Uzaktan Algılama
Bölüm Research Articles
Yazarlar

Shrushti JADAWALA (Sorumlu Yazar)
Department of Earth Sciences, Gujarat University
0000-0002-1312-3195
India


Shital H. SHUKLA Bu kişi benim
Department of Earth Sciences, School of Science, Gujarat University
India


Poonam S. TİWARİ Bu kişi benim
Indian Institute of Remote Sensing, Indian Space Research Organization, Department of Space, Government of India
India

Destekleyen Kurum Indian Institute of Remote Sensing (IIRS), Indian Space Research Organisation (ISRO), Department of Space, Government of India, Dehradun
Proje Numarası 1
Teşekkür special thanks to my guide Poonam S. Tiwari for constant support, also to this IJEGEO for helping to publish paper, to my head of department Shital Shukla.
Yayımlanma Tarihi 5 Eylül 2021
Yayınlandığı Sayı Yıl 2021, Cilt 8, Sayı 3

Kaynak Göster

Bibtex @araştırma makalesi { ijegeo781574, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2021}, volume = {8}, pages = {337 - 343}, doi = {10.30897/ijegeo.781574}, title = {Cellular Automata and Markov Chain Based Urban Growth Prediction}, key = {cite}, author = {Jadawala, Shrushti and Shukla, Shital H. and Tiwari, Poonam S.} }
APA Jadawala, S. , Shukla, S. H. & Tiwari, P. S. (2021). Cellular Automata and Markov Chain Based Urban Growth Prediction . International Journal of Environment and Geoinformatics , 8 (3) , 337-343 . DOI: 10.30897/ijegeo.781574
MLA Jadawala, S. , Shukla, S. H. , Tiwari, P. S. "Cellular Automata and Markov Chain Based Urban Growth Prediction" . International Journal of Environment and Geoinformatics 8 (2021 ): 337-343 <https://dergipark.org.tr/tr/pub/ijegeo/issue/61200/781574>
Chicago Jadawala, S. , Shukla, S. H. , Tiwari, P. S. "Cellular Automata and Markov Chain Based Urban Growth Prediction". International Journal of Environment and Geoinformatics 8 (2021 ): 337-343
RIS TY - JOUR T1 - Cellular Automata and Markov Chain Based Urban Growth Prediction AU - Shrushti Jadawala , Shital H. Shukla , Poonam S. Tiwari Y1 - 2021 PY - 2021 N1 - doi: 10.30897/ijegeo.781574 DO - 10.30897/ijegeo.781574 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 337 EP - 343 VL - 8 IS - 3 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.781574 UR - https://doi.org/10.30897/ijegeo.781574 Y2 - 2021 ER -
EndNote %0 International Journal of Environment and Geoinformatics Cellular Automata and Markov Chain Based Urban Growth Prediction %A Shrushti Jadawala , Shital H. Shukla , Poonam S. Tiwari %T Cellular Automata and Markov Chain Based Urban Growth Prediction %D 2021 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 8 %N 3 %R doi: 10.30897/ijegeo.781574 %U 10.30897/ijegeo.781574
ISNAD Jadawala, Shrushti , Shukla, Shital H. , Tiwari, Poonam S. . "Cellular Automata and Markov Chain Based Urban Growth Prediction". International Journal of Environment and Geoinformatics 8 / 3 (Eylül 2021): 337-343 . https://doi.org/10.30897/ijegeo.781574
AMA Jadawala S. , Shukla S. H. , Tiwari P. S. Cellular Automata and Markov Chain Based Urban Growth Prediction. International Journal of Environment and Geoinformatics. 2021; 8(3): 337-343.
Vancouver Jadawala S. , Shukla S. H. , Tiwari P. S. Cellular Automata and Markov Chain Based Urban Growth Prediction. International Journal of Environment and Geoinformatics. 2021; 8(3): 337-343.
IEEE S. Jadawala , S. H. Shukla ve P. S. Tiwari , "Cellular Automata and Markov Chain Based Urban Growth Prediction", International Journal of Environment and Geoinformatics, c. 8, sayı. 3, ss. 337-343, Eyl. 2021, doi:10.30897/ijegeo.781574