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Original Articles

Prediction of land cover change based on CA-ANN model to assess its local impacts on Bagerhat, southwestern coastal Bangladesh

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Pages 2604-2626 | Received 18 Mar 2020, Accepted 24 Sep 2020, Published online: 16 Oct 2020

References

  • Ahirwar R, Malik MS, Shukla JP. 2018. Development of hybrid unsupervised classification techniques for accuracy enhancement of land use/land cover mapping using geo-spatial technology: Hoshangabad, District Madhya Pradesh India. Geoinfor Geostat: An Overview. 6(3):1–7.
  • Ahmed B, Kamruzzaman M, Zhu X, Rahman MS, Choi K. 2013. Simulating land cover changes and their impacts on land surface temperature in Dhaka. Bangladesh. Remote Sens. 5(11):5969–5998.
  • Anandababu D, Purushothaman BM, Babu SS. 2018. Estimation of land surface temperature using LANDSAT 8 Data. Int J Adv Res Ideas Innov Tech. 4(2):177–186.
  • Anik SI, Khan MASA. 2012. Climate change adaptation through local knowledge in the north eastern region of Bangladesh. Mitig Adapt Strateg Glob Change. 17(8):879–896.
  • Arekhi S, Jafarzadeh AA. 2014. Forecasting areas vulnerable to forest conversion using artificial neural network and GIS (case study: northern Ilam forests, Ilam province, Iran). Arab J Geosci. 7(3):1073–1085.
  • Bakr N, Weindorf DC, Bahnassy MH, Marei SM, El-Badawi MM. 2010. Monitoring land cover changes in a newly reclaimed area of Egypt using multi-temporal Landsat data. Appl Geogr. 30(4):592–605.
  • BBS. 2014. Yearbook of agricultural statistics – 2012. Bangladesh Bureau of Statistics. 2014.
  • BBS. 2018. Yearbook of agricultural statistics – 2017. Bangladesh Bureau of Statistics. 29, 2018.
  • Beevi HN, Sivakumar S, Vasanthi R. 2015. Land use/land cover classification of Kanniykumari Coast, Tamilnadu, India, using remote sensing and GIS techniques. Int J Eng Res App. 5(7):78–87.
  • Carter L. 2010. Lesson 2: how to Bring Landsat Data into ArcGIS, Mosaic and Clip Scenes. [accessed 2019 Dec 12]. https://www.coloradoview.org/wp-content/coloradoviewData/trainingData/co-rs-tutorial2.pdf.
  • Chandra KJ, Chowdhury AR, Das DR. 2013. Shrimp culture practices at farmers’ level in bagerhat district. Progress Agric. 21(1/2):173–184.
  • Chen XL, Zhao HM, Li PX, Yin ZY. 2006. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ. 104(2):133–146.
  • Debanshi S, Pal S. 2020. Wetland delineation simulation and prediction in deltaic landscape. Ecol Indic. 108: 1–14.
  • Dhaka Tribune. 2017. 12 major cyclones from the past. 2017 May 30. [accessed 2018 Sept 27]; Environment. https://www.dhakatribune.com/bangladesh/environment/2017/05/30/major-cyclones-bangladesh/.
  • Esha EJ, Ahmed A. 2018. Spatio-temporal assessment of the impact of land cover change in the north-west region of Bangladesh. In: Proceedings of the 4th International Conference on Civil Engineering for Sustainable Development (ICCESD 2018), Feb 9–11; Khulna, Bangladesh. ISBN: 978-984-34-3502-6.
  • Ferdous J, Rahman MTU. 2018. Temporal dynamics and relationship of land use land cover and land surface temperature in Dhaka, Bangladesh. In: Proceedings of the 4th International Conference on Civil Engineering for Sustainable Development (ICCESD 2018), Feb 9–11; Khulna, Bangladesh (ISBN-978-984-34-3502-6)
  • Gantumur B, Wu F, Vandansambuu B, Tsegmid B, Dalaibaatar E, Zhao Y. 2020. Spatiotemporal dynamics of urban expansion and its simulation using CA-ANN model in Ulaanbaatar, Mongolia. Geocarto Int. 1–16.
  • Hadeel AS, Jabbar MT, Xiaoling C. 2011. Remote sensing and GIS application in the detection of environmental degradation indicators. Geo-Spat Inform Sci. 14(1):39–47.
  • Jogun T. 2016. The simulation model of land cover change in the Požega-Slavonia County [diploma thesis]. Southampton (Eng.): University of Southampton. [accessed 2017 Jun 20]. http://digre.pmf.unizg.hr/4908/.
  • Kamusoko C, Aniya M. 2009. Hybrid classification of Landsat data and GIS for land use/cover change analysis of the Bindura district, Zimbabwe. Int J Remote Sens. 30(1):97–115.
  • Kar R, Reddy G, Kumar N, Singh SK. 2018. Monitoring spatio-temporal dynamics of urban and peri-urban landscape using remote sensing and GIS—A case study from Central India. Egypt J Remote Sens Space Sci. 21(3):401–411.
  • Khan MMH, Bryceson I, Kolivras KN, Faruque F, Rahman MM, Haque U. 2015. Natural disasters and land-use/land-cover change in the southwest coastal areas of Bangladesh. Reg Environ Change. 15(2):241–250.
  • Kohail SN, El-Halees AM. 2011. Implementation of data mining techniques for meteorological data analysis (a case study for Gaza Strip). Int J Info Com Tech Res. 1(3):96–100.
  • Kumar KS, Bhaskar PU, Padmakumari K. 2012. Estimation of land surface temperature to study urban heat island effect using Landsat ETM + image. Int J Eng Sci Tech. 4(2):771–778.
  • Li T, Li W. 2015. Multiple land use change simulation with Monte Carlo approach and CA-ANN model, a case study in Shenzhen. China. Environ Sy Res. 4(1):1–10.
  • Lia Z, Liu WZ, Zhangc XC, Zheng F. 2009. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. J Hydrol. 377(:1–2.
  • Lu D, Mausel P, Brondizio E, Moran E. 2004. Change detection techniques. Int J Remote Sens. 25(12):2365–2401.
  • Majumder A, Kingra PK, Setia R, Singh SP, Pateyria B. 2018. Influence of land use/land cover changes on surface temperature and its effect on crop yield in different agro-climatic regions of Indian Punjab. Geocarto Int. 35(6):1–21.
  • Mallupattu PK, Reddy JRS. 2013. Analysis of land use/land cover changes using remote sensing data and GIS at an urban area, Tirupati, India. ScientificWorldJournal. 2013:268623 https://doi.org/http://dx.doi.org/10.1155/2013/268623.
  • Marshall R, Rahman S. 2013. Internal migration in Bangladesh: character, drivers and policy issues. Bangladesh, United Nations Development Programme (UNDP). [accessed 2018 Oct 10] https://www.undp.org/content/dam/bangladesh/docs/Publications/Pub-2013/Internal%20Migration%20in%20Bangladesh%20UNDP%20Final.pdf.
  • Mcgee J, Campbell J, Parece T. 2015. Remote sensing in an ArcMap environment. [accessed 2018 Jul 10]. https://www.virginiaview.cnre.vt.edu/tutorial/RS_in_ArcGIS_AllChapters.pdf.
  • Mubea KW, Ngigi TG, Mundia CN. 2010. Assessing application of Markov chain analysis in predicting land cover change: a case study of Nakuru municipality. J Agric Sci Tech. 12(2):126–144.
  • National plan for disaster management. 2010. Bangladesh (BD): Disaster Management Bureau. [accessed 2019 Jun 25]. http://extwprlegs1.fao.org/docs/pdf/bgd146945.pdf.
  • Olaya V. 2009. Basic land-surface parameters. In: Hengl T. and Reuter HI. (eds.). Geomorphometry. concepts, software, applications. Developments in soil science. Amsterdam, Netherlands: Elsevier. 33: 141–169.
  • Planning Commission. 2009. Steps towards change: National strategy for accelerated poverty reduction II (revised), Fiscal year 2009–11. Dhaka (BD): General Economics Division. [accessed 2019 Jun 25]. http://www.smef.org.bd/v2/smef_download/government_policies/NSAPR2.pdf.
  • Pontius RG, Jr, Boersma W, Castella JcClarke K, Nijs T, Dietzel C, Duan Z, Fotsing E, Goldstein N, Kok K, et al. 2008. Comparing the input,output, and validation maps for several models of land change. Ann. Reg. Sci. 42:11–47.
  • Pontius RG Jr, Schneider LC. 2001. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ. 85(1–3):239–248.
  • Prasad RS, Nejres SM. 2015. An efficient approach for human face recognition. Int J Adv Res Computer Sci Soft Eng. 5 (12):135–139.
  • Rahman MT, Hasan MN. 2003. Assessment of shifting of agricultural land to non-agricultural land in Bangladesh. Dhaka (BD): Soil Resource Development Institute (SRDI).
  • Rahman MTU, Tabassum F, Saba H, Rasheduzzaman M, Sarkar L, Ferdous J, Uddin SZ, Islam AZMZ. 2017. Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh. Environ Monit Assess. 189(11):565
  • RGJr P, Boersma W, Castella JC, Clarke K, de Nijs T, Dietzel C, Duan Z, Fotsing E, Goldstein N, Kok K, Koomen E, et al. 2008. Comparing the input, output, and validation maps for several models of land change. Ann. Reg. Sci. 42:11–47.
  • Robertson AI, Phillips MJ. 1995. Mangroves as filters of shrimp pond effluent: predictions and biogeochemical research needs. Hydrobiologia. 245(1):311–321.
  • Rokni K, Ahmad A, Selamat A, Hazini S. 2014. Water feature extraction and change detection using Multitemporal Landsat imagery. Remote Sens. 6(5):4173–4189.
  • Rozenstein O, Karnieli A. 2011. Comparison of methods for land-use classification incorporating remote sensing and GIS inputs. Appl Geogr. 31(2):533–544.
  • Saputra MH, Lee HS. 2019. Prediction of land use and land cover changes for North Sumatra, Indonesia, using an artificial-neural-network-based cellular automaton. Sustainability. 11(11):3024.
  • SRDI . 2012. Saline Soils of Bangladesh. Soil Resource Development Institute. Dhaka (BD): Ministry of Agriculture.
  • Tayyebi A, Pijanowski BC. 2014. Modeling multiple land use changes using ANN, CART and MARS: comparing tradeoffs in goodness of fit and explanatory power of data mining tools. Int J Appl Earth Obs. 28:102–116.
  • Turner BL, Lambin EF, Reenberg A. 2007. The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci Usa. 104(52):20666–20671.
  • Yagoub MM, Kolan GR. 2006. Monitoring coastal zone land use and land cover changes of Abu Dhabi using remote sensing. J Indian Soc Remote Sens. 34(1):57–68.
  • Yang X, Chen R, Zheng XQ. 2016. Simulating land use change by integrating ANN-CA model and landscape pattern indices. Geomatics Nat Haz and Risk. 7(3):918–932.

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