Skip to main content

Advertisement

Log in

Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Human‐induced land use/land cover (LULC) changes are among the most important processes that shape the dynamics of the earth’s surface. This phenomenon, which is occurring at an astonishing rate, and its consequential environmental impacts have become an important area of research for scientists.Therefore, a wide range of methods and models have been developed to detect and predict these alterations, among which cellular automata (CA) models such as the CA‐Markov model, due to their affinity to geographic information system (GIS) and remote sensing (RS), are appropriate for detailed resolution modelling and simulating dynamic spatial processes. In Iran, the district of Ravansar has undergone severe LULC changes recently, thus to take the necessary precautions, decision‐makers need to predict and determine the extent of these changes. In this study, using spatial analysis methods the LULC changes in Ravansar were investigated from 1992 to 2015. Subsequently, the CA‐Markov model was applied to simulate the spatial pattern changes of LULC until 2030. Our results indicated that from 1992 to 2015, this region has witnessed a noticeable increase in the areas of the built‐up and agricultural lands (both aquatic and non‐aquatic), resulting in the decrease of the gardens, range, and bare lands. The simulated LULC map showed that this trend will continue due to more urbanization and development of agricultural areas.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Graph 1

Similar content being viewed by others

References

  • Bozkaya AG, Balcik FB, Goksel C, Esbah H (2015) Forecasting land-cover growth using remotely sensed data: a case study of the Igneada protection area in Turkey. Environ Monit Assess 187:59

    Article  Google Scholar 

  • Clarke KC, Hoppen S, Gaydos L (1997) A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay Area. Environ Plan B: Plan Design 24:247–261

    Article  Google Scholar 

  • Chen X, Yu SX, Zhang YP (2013) Evaluation of spatiotemporal dynamics of simulated land use/cover in China using a probabilistic cellular automata-Markov model. Pedosphere 23(2):243–255

    Article  Google Scholar 

  • Dadhich PN, Hanaoka S (2010) Remote sensing, GIS and Markov’s method for land use change detection and prediction of Jaipur district. J Geom 4:9–15

    Google Scholar 

  • Deep S, Saklani A (2014) Urban sprawl modeling using cellular automata. Egypt J Remote Sensing Space Sci 17:179–187

    Article  Google Scholar 

  • Dewan AM, Yamaguchi Y (2009) Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Appl Geogr 29:390–401

    Article  Google Scholar 

  • Du Y-K, Yan Q, Luo C-F (2016) Monitoring and predicting the changes of vegetation coverage in Shijiazhuang from 1995 to 2015. In: Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. IEEE, pp 2324–2327

  • Gajbhiye S, Sharma S (2012) Land use and land cover change detection of Indra river watershed through remote sensing using multi-temporal satellite data. Int J Geomatics Geosci 3:89

    Google Scholar 

  • Gao J, Liu Y (2010) Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection. Int J Appl Earth Obs Geoinf 12:9–16

    Article  Google Scholar 

  • Ghosh P et al (2017) Application of cellular automata and Markov-chain model in geospatial environmental modeling—a review. Remote Sensing Appl: Soc Environ 5:64–77

    Google Scholar 

  • Gong W, Yuan L, Fan W, Stott P (2015) Analysis and simulation of land use spatial pattern in Harbin prefecture based on trajectories and cellular automata—Markov modelling. Int J Appl Earth Obs Geoinf 34:207–216

    Article  Google Scholar 

  • Guan D, Li H, Inohae T, Su W, Nagaie T, Hokao K (2011) Modeling urban land use change by the integration of cellular automaton and Markov model. Ecol Model 222:3761–3772

    Article  Google Scholar 

  • Halmy MWA, Gessler PE, Hicke JA, Salem BB (2015) Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Appl Geogr 63:101–112

    Article  Google Scholar 

  • Haque MI, Basak R (2017) Land cover change detection using GIS and remote sensing techniques: a spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh. Egypt J Remote Sens Space Sci 20:251–263

    Google Scholar 

  • Hu H-B, Liu H-Y, Hao J-F, An J (2012) Analysis of land use change characteristics based on remote sensing and gis in the Jiuxiang River watershed. Int J Smart Sens Intelligent Systems 5

    Article  Google Scholar 

  • Hyandye C, Martz LW (2017) A Markovian and cellular automata land-use change predictive model of the Usangu Catchment. Int J Remote Sens 38:64–81

    Article  Google Scholar 

  • Jafarnezhad J, Salmanmahiny A, Sakieh Y (2015) Subjectivity versus objectivity: comparative study between brute force method and genetic algorithm for calibrating the SLEUTH urban growth model. J Urban Plan Dev 142:05015015

    Article  Google Scholar 

  • Kabba VTS, Li J (2011) Analysis of land use and land cover changes, and their ecological implications in Wuhan, China. J Geogr Geol 3:104

    Google Scholar 

  • Keken Z, Panagiotidis D, Skaloš J (2015) The influence of damming on landscape structure change in the vicinity of flooded areas: case studies in Greece and the Czech Republic. Ecol Eng 74:448–457

    Article  Google Scholar 

  • Kennedy RE, Townsend PA, Gross JE, Cohen WB, Bolstad P, Wang Y, Adams P (2009) Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sens Environ 113:1382–1396

    Article  Google Scholar 

  • Kumar S, Radhakrishnan N, Mathew S (2014) Land use change modelling using a Markov model and remote sensing. Geomatics Nat Hazards and Risk 5:145–156

    Article  Google Scholar 

  • Lambin EF et al (2001) The causes of land-use and land-cover change: moving beyond the myths. Glob Environ Chang 11:261–269

    Article  Google Scholar 

  • Luo G, Amuti T, Zhu L, Mambetov BT, Maisupova B, Zhang C (2015) Dynamics of landscape patterns in an inland river delta of Central Asia based on a cellular automata-Markov model. Reg Environ Chang 15:277–289

    Article  Google Scholar 

  • Maddah S, Karimi S, Rezai H, Khaledi J (2015) Detecting land use changes affected by human activities using remote sensing (case study: Karkheh River Basin). Curr World Environ 10:473–481

    Article  Google Scholar 

  • Mehta A, Sinha VK, Ayachit G (2012) Land-use/land-cover study using remote sensing and GIS in an arid environment. Bull Environ Sci Res 1:4–8

    Google Scholar 

  • Misra A, Vethamony P (2015) Assessment of the land use/land cover (LU/LC) and mangrove changes along the Mandovi–Zuari estuarine complex of Goa, India. Arab J Geosci 8:267–279

    Article  Google Scholar 

  • Mubea K, Ngigi T, Mundia C (2011) Assessing application of Markov chain analysis in predicting land cover change: a case study of Nakuru municipality. J Agric Sci Technol 12

  • O’sullivan D, Torrens PM (2001) Cellular models of urban systems. In: Theory and practical issues on cellular automata. Springer, pp 108–116

  • Rahman MTU et al (2017) Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh. Environ Monit Assess 189:565

    Article  Google Scholar 

  • Rawat J, Kumar M (2015) Monitoring land use/cover change using remote sensing and GIS techniques: a case study of Hawalbagh block, district Almora, Uttarakhand, India. Egypt J Remote Sens Space Sci 18:77–84

    Google Scholar 

  • Seif A, Mokarram M (2012) Change detection of Gil Playa in the northeast of Fars Province Iran. Am J Sci Res 86:122–130

    Google Scholar 

  • Soares-Filho BS, Cerqueira GC, Pennachin CL (2002) DINAMICA—a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol Model 154:217–235

    Article  Google Scholar 

  • Sohl TL, Sohl LB (2012) Land-use change in the atlantic coastal pine barrens ecoregion. Geogr Rev 102:180–201

    Article  Google Scholar 

  • Stevens D, Dragićević S (2007) A GIS-based irregular cellular automata model of land-use change. Environ Plan B: Plan Design 34:708–724

    Article  Google Scholar 

  • Vázquez-Quintero G, Solís-Moreno R, Pompa-García M, Villarreal-Guerrero F, Pinedo-Alvarez C, Pinedo-Alvarez A (2016) Detection and projection of forest changes by using the Markov Chain Model and cellular automata. Sustainability 8:236

    Article  Google Scholar 

  • Verburg PH, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Mastura SS (2002) Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manag 30:391–405

    Article  Google Scholar 

  • Vilà-Cabrera A, Martínez-Vilalta J, Galiano L, Retana J (2013) Patterns of forest decline and regeneration across Scots pine populations. Ecosystems 16:323–335

    Article  Google Scholar 

  • Wang Y, Zhang X (2001) A dynamic modeling approach to simulating socioeconomic effects on landscape changes. Ecol Model 140:141–162

    Article  Google Scholar 

  • Ye B, Bai Z (2007) Simulating land use/cover changes of Nenjiang County based on CA-Markov model. In: International Conference on Computer and Computing Technologies in Agriculture. Springer, pp 321–329

  • Zhang R, Tang C, Ma S, Yuan H, Gao L, Fan W (2011) Using Markov chains to analyze changes in wetland trends in arid Yinchuan Plain, China. Math Comput Model 54:924–930

    Article  Google Scholar 

  • Zheng HW, Shen GQ, Wang H, Hong J (2015) Simulating land use change in urban renewal areas: A case study in Hong Kong. Habitat Int 46:23–34

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hazhir Karimi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karimi, H., Jafarnezhad, J., Khaledi, J. et al. Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran. Arab J Geosci 11, 592 (2018). https://doi.org/10.1007/s12517-018-3940-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-018-3940-5

Keywords

Navigation