Abstract
Urbanization has led to a tremendous pressure on available land in Dehradun, Uttarakhand, India. Therefore, proper land planning measures are required to mitigate the effect of urbanization on agriculture, forest, and water bodies. This study illustrates the use of remote sensing and GIS to detect the change in urban sprawl of Dehradun region during the period 2013–18 and its effect on agriculture, forest, and water bodies. Landsat 8 imagery has been used in this study. Supervised classification has been adopted in Landsat 8 images of the study area. Four different land cover classes have been considered in classification stage. These are urban, forests, agriculture and vegetation, and seasonal river beds. The accuracy obtained for both the images after classification was above 85% for good change detection results. The change detection technique used is post-classification comparison method which is the matrix union method. The study has shown that the built-up area in Dehradun city has expanded from 75.07 km2 in 2013 to 105.51 km2 in 2018 and 0.26 km2 of forest area, 34.40 km2 of agricultural land, and 2.56 km2 of water beds have been converted into built-up area in the duration of 5 years. The increase in built-up area from 2013 to 2018 is 40.54%.
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References
Patidar S, Sankhala V (2015) Change detection of land-use and land-cover of dehradun city: a spatio-temporal analysis. Intl J Adv Remote Sensing GIS 5(1):1170–1180
Rawat V, Puri M (2017) Land use/land cover change study of district Dehradun, Uttarakhand using Remote sensing and GIS technologies. Intl J Adv Remote Sens GIS 6(1):2223–2233
Bhat PA, Shafiq MU, Mir AA, Ahmed P (2017) Urban sprawl and its impact on land use/land cover dynamics of Dehradun city, India. Int J Sustain Built Environ 6(2):513–521
Deb SK, Nath RK (2012) Land use/cover classification—an introduction review and comparison. Global J Res Civ Struct Eng 12(1):5–16
Devi MR, Baboo SS (2011) Land use and land cover classification using RGB and L bases supervised classification algorithm. Int J Comput Sci Eng Technol 2(10):167–180
Kuldeep T, Kamlesh K (2011) Land use/land cover change detection in Dehradun using GIS and remote sensing techniques. Int J Geomatics Geosci 2(1):34–41
Kumar KS, Valsala SS, Subhramanyam JV, Mallampati VM, Shaikh K, Ekkirala P (2015) Prediction of future land use/land cover changes of Vijayawada City using remote sensing and GIS. Int J Innovative Res Adv Eng 2(3):91–97
Selim M (2018) Change detection analysis using new nano satellite imagery. Int J Eng Adv Technol 7(3):4–10
Acknowledgements
Authors are very thankful to Mr. Lakhwinder Singh, Ph.D Research Scholar, IIT Roorkee, for his constant help regarding various GIS topics related to image processing and classification.
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Sawant, K., Prakash, R., Mishra, N. (2021). Effect of Urban Land Use on Agriculture, Forest, and River Beds: A Case Study of Dehradun City, Uttarakhand, India. In: Gupta, L.M., Ray, M.R., Labhasetwar, P.K. (eds) Advances in Civil Engineering and Infrastructural Development. Lecture Notes in Civil Engineering, vol 87. Springer, Singapore. https://doi.org/10.1007/978-981-15-6463-5_18
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DOI: https://doi.org/10.1007/978-981-15-6463-5_18
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