Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: Editor-in-chief: Alejandro González Medina
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Applied Ecology and Environmental Sciences. 2021, 9(2), 225-235
DOI: 10.12691/aees-9-2-14
Open AccessArticle

An Assessment of Land Use Land Cover Change and Urban Growth of Nashik City Using Geospatial Techniques

Santosh A. Bhailume1,

1Department of Geography, K.V.N. Naik Shikshan Prasarak Sanstha’s Arts, Commerce and Science College Nashik, Maharashtra 422002, India

Pub. Date: February 05, 2021

Cite this paper:
Santosh A. Bhailume. An Assessment of Land Use Land Cover Change and Urban Growth of Nashik City Using Geospatial Techniques. Applied Ecology and Environmental Sciences. 2021; 9(2):225-235. doi: 10.12691/aees-9-2-14


The major focus of this study is analysis of the relationship between land use and land cover (LULC) dynamics, built-up land expansion patterns, and underlying driving forces of change from 1981 to 2020. Many of the world’s largest cities are dealing with the dilemma of the urban growth, but in recent years this situation is also seen in sub centres. The study of the LULC is useful to analyse the trend of an urban area and growth. The Spatio-temporal assessment of the urban growth in Nashik Municipal Corporation (NMC) administrative wards has been analysed using space-borne Remote Sensing (RS) data (series of Landsat Imagery (MSS/TM/ETM + /OLI) for the year of 1981, 1991, 2001, 2011 and 2020 with photogrammetry tools, Geographical Information System (GIS), Shannon’s entropy model and accuracy assessment. The overall scenario of LULC in the NMC reveals that the open land, fallow land, vegetation has been decreasing and urban built up is increasing at the expanse of these areas. The urban built-up area has increased from 2 (1981) to 53 (2020) percent of geographical area of NMC. The Shannon’s entropy model was applied to the six municipal wards and the value of the Shannon’s entropy confirms randomly growing urban built-up in the NMC. The finding of this study will help to researchers, planner and policy makers for better assessment of the urban growth and trend of transformation of land uses and land cover.

urban growth Urban Sprawl Shannon’s entropy LULC Nashik

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[1]  Mondal, S, Sharma, N., Garg, P. & Kappas, M., Statistical independence test and validation of CA Markov land use land cover (LULC) prediction results. The Egyptian Journal of Remote Sensing and Space Sciences (2016) 19, 259-272, 2016.
[2]  Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., & Deadman, P. Multi agent system for the simulation of land-use and land-cover changes. A review. Annals of the Association of American Geographers, 93, 314-337, 2002.
[3]  National Research Council, 1999.
[4]  Rai, S. C., Sharma, E., & Sundriyal, R. C. Conservation in the Sikkim Himalaya. Traditional knowledge and land-use and mamlay watershed. Environmental Conservation, 21(1), 30-34, 1994.
[5]  Bhat, P., Shafiq, M., Mir, A., & Ahmed, P., Urban sprawl and its impact on land use/land cover dynamics of Dehradun City, India, International Journal of Sustainable Built Environment (2017) 6, 513-521, 2016.
[6]  Tuyen V. Ha, Mike Tuohy, Matthew Irwin, Pham V. Tuan Monitoring and mapping rural urbanization and land use changes using Landsat data in the northeast subtropical region of Vietnam, The Egyptian Journal of Remote Sensing and Space Sciences, 11-19, 2018.
[7]  Arghadeep Bose and Indrajit Roy Chowdhury, Monitoring and modeling of spatiotemporal urban expansion and landuse/landcover change using markov chain model: a case study in Siliguri Metropolitan area, West Bengal, India Modeling Earth Systems and Environment volume 6, pages 2235-2249. 2020.
[8]  Kianoush Suzanchi and Ravinder Kaur, Land use land cover change in National Capital Region of India: a remote sensing & GIS based two decadal spatial temporal analyses, Procedia Social and Behavioral Sciences 21, 212-221 2011
[9]  Jensen, R. Urban/suburban land use analysis. Manual of Remote Sensing, second edition, 1571-1666, 1983.
[10]  Bruzzone, L. & Serpico, S., An Iterative Technique for the Detection of Land-Cover Transitions in Multi temporal Remote-Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 4, July 1997.
[11]  Selçuk, R., Recep, N., Bayram, U., Ali, Y., Halilibrahim, I. & Tahsin, Y. Monitoring Land -Use Changes by GIS and Remote Sensing Techniques. Case Study of Trabzon. 2nd FIG Regional Conference Marrakech, Morocco, December 2-5, 2003.
[12]  Adepoju, M.O., Millington, A.C., Tansey, K.T., Land Use/Land Cover Change Detection in Metropolitan Lagos (Nigeria). 1984-2002, American Society for Photogrammetry and Remote Sensing, Annual Conference, Reno, Nevada, May 1-5, 2006.
[13]  Rawat, J. & Kumar, M. Monitoring land use/cover change using remote sensing and GIS techniques. A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Sciences (2015) 18, 77-84, 2015.
[14]  Weng, Q., Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J. Environ. Manage. 64, 273-284, 2002.
[15]  Mohan, M., Sati, A. & Bhati, S. Urban sprawl during five decadal period over National Capital Region of India. Impact on urban heat island and thermal comfort. Urban Climate 33 (2020) 100647, 2020.
[16]  Liu, P., Jia, S., Han, R., Liu, Y., Lu, X. & Zhang, H. RS and GIS Supported Urban LULC and UHI Change Simulation and Assessment. Journal of Sensors. Volume 2020, Article ID 5863164, 17, 2020.
[17]  Ji, W., Ma, J., Twibell, R. &underhill, K. Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics. Computers, Environment and Urban Systems 30 (2006) 861-879, 2006.
[18]  Farroq, S.&ahmad, S. Urban Sprawl Development Around Aligarh City. A Study Aided by Satellite Remote Sensing and GIS. J. Indian Soc. Remote Sens. (March 2008) 36. 77-88, 2008.
[19]  Jat, M., Garg, P. &Khare, D. Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation 10 (2008) 26-43, 2008.
[20]  Rahman, A., Aggarwal, S., Netzband, M. & Fazal, S. Monitoring Urban Sprawl Using Remote Sensing and GIS Techniques of a Fast-Growing Urban Centre, India. IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, Vol. 4, No. 1, March 2011.
[21]  Bhailume, S., An assessment of urban sprawl using GIS and remote sensing techniques. a case study of Pune-Pimpri-Chinchwad area. Doctoral thesis Tilak Maharashtra Vidyapith, Pune, 2012.
[22]  Khan, A. Urban Expansion, Land Use Land Cover Change and Human Impacts. A Case Study of Rawalpindi. Doctoral thesis, Durham University, 2013.
[23]  Gadakh, B. & Jaybhaye, R. Land resource impact indicators of urban sprawl. A case study of Nashik city, Maharashtra. Journal of Basic Sciences, 2015, 1, 28-33, 2015.
[24]  Mundhe, N. N., & Jaybhaye, R. G. Measuring Urban Growth of Pune City Using Shannon Entropy Approach. The Journal of Geography and Geology, 119, 290, 302, 2015.
[25]  OZTURK, D. Assessment of urban sprawl using Shannon’s entropy and fractual analysis. a case study of Atakum, Ilkadim and Canik, Turkey. Journal Of Environmental Engineering And Landscape Management ISSN 1648-6897 / 1822-41992017 Volume 25(03). 264-276, 2017.
[26]  Salem, M., Tsurusaki, N. & Divigalpitiya, P. Land use/land cover change detection and urban sprawl in the peri-urban area of greater Cairo since the Egyptian revolution of 2011. Journal of Land Use Science. 2020.
[27]  Hernina, R., Wicaksono, A. &Rokhmatuloh, Urban growth modelling of Ciliwung and Cisadane watersheds within Bogor municipality by using integrated Ca-Markov and frequency ratio. AIP Conference Proceedings 2023, 020175 (2018); 2017.
[28]  Walsh, S., Crawford, T., Welsh, W. & Meyer, K. A multiscale analysis of LULC and NDVI variation in Nang Rong district, northeast Thailand. Agriculture, Ecosystems and Environment 85 (2001) 47-64, 2001.
[29]  Cheng, K., Su, Y., Kuo, F., Hung, W. & Chiang, L. Assessing the effect of land cover changes on air temperature using remote sensing images—A pilot study in northern Taiwan. Landscape and Urban Planning 85 (2008) 85-96, 2008.
[30]  MHANGARA, P. Land Use/Cover Change Modelling and Land Degradation Assessment In The Keiskamma Catchment Using Remote Sensing And GIS. Doctoral Thesis, Nelson Mandela Metropolitan University, 2011.
[31]  Jagadeesha, P., & Shenoy, N. Land Use Land Cover Pattern in the Vicinity of Mannapalla Lake, Manipal. Aquatic Procedia 4 (2015) 1405-1412, 2015.
[32]  Kalirajan, S., Chandrasekar, N., Ramachandran, K., Srinivas, Y. & Saravanan, N. Coastal land use and land cover change and transformations of Kanyakumari coast, India using remote sensing and GIS. The Egyptian Journal of Remote Sensing and Space Sciences 20 (2017) 169-185, 2017.
[33]  Ahmed, K. &Akter, S., Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with Landsat multi-spectral surface reflectance satellite data. Remote Sensing Applications. Society and Environment 8 (2017) 168-181, 2017.
[34]  Dutta, D., Gupta, S. &Kishtawal, C. Linking LULC change with urban heat islands over 25 years. a case study of the urban-industrial city Durgapur, Eastern India. Journal of Spatial Science. 2018.
[35]  Das, D., Chakraborti, S., Saha, G. & Banerjee, A. Analysing the dynamic relationship of land surface temperature and land use pattern. A city level analysis of two climatic regions in India. City and Environment Interactions Volume 8, November 2020.
[36]  Kar, R., Reddy, G., Kumar, N. & Singh, S., Monitoring spatio-temporal dynamics of urban and peri-urban landscape using remote sensing and GIS - A case study from Central. The Egyptian Journal of Remote Sensing and Space Sciences, 21, 401-411, 2018.
[37]  Census of India 2011.
[38]  Schindler, J. A multi-agent system for simulating land-use and land-cover change in the Atankwidi catchment of Upper East Ghana. Dissertation. University of Bonn, 2009.
[39]  Srivastava, P. K., Han, D., Rico-Ramirez, M. A., Bray, M., & Islam, T. Selection of classification techniques for land use/land covers change investigation. Advances in Space Research, 50, 1250-1265, 2012.
[40]  Bhatta, B., Saraswati, S., Bandyopadhyay, D., Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Appl. Geograph. 30 (1), 96-111, 2009.
[41]  Foody, G. Status of land covers classification accuracy assessment. Remote Sensing of Environment, 80, 185-201, 2001.
[42]  Tan, K., Lim, H., matjafri, Md., Abdullah, K., Landsat data to evaluate urban expansion and determine land use and land cover change in Penang Island, Malaysia. Environ Earth Sci (2010) 60. 1509-1521, 2009.
[43]  Sarvestani MS, Ibrahim AL, Kanaroglou P Three decades of urban growth in the city of Shiraz, Iran. a remote sensing and geographic information systems application. Cities 28(4). 320-329, 2011.