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Geospatial assessment of tourism impact on land environment of Dehradun, Uttarakhand, India

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Abstract

India’s tourism industry has emerged as a leading industry with a potential to grow further in the next few decades. Dehradun, one of the famous tourist places in India located in the state of Uttarakhand, attracts tourist from all over the country and abroad. The surge in tourist number paved the way for new infrastructure projects like roads, buildings, and hotels, which in turn affects the topography of the mountainous region. In this study, remote sensing and GIS techniques have been used to assess the impact of tourism on the land environment of Dehradun. Satellite images of the years 1972, 2000, and 2016 were analyzed using object-based image analysis (OBIA) to derive land use and land cover (LULC) and ASTER-DEM (Digital Elevation Model) was used to determine the topography of the study area. LULC classification includes built-up, vegetation, forest, scrub, agriculture, plantation, and water body. The slope of the region was categorized as gentle, moderate, strong, extreme, steep, and very steep. To assess the sprawl of built-up on high terrain land, built-up class of LULC was overlaid on slope classes. The overlay analysis reveals that due to increase in tourism, the land use in terms of the built-up area has been extended from gentle slope to very steep slope. The haphazard construction on the extreme, steep, and very steep slope is prone to landslide and other natural disasters. For this, landslide susceptibility maps have also been generated using multicriteria evaluation (MCE) techniques to prevent haphazard construction and to assist in further planning of Dehradun City. This study suggests that a proper developmental plan of the city is essential which follows the principles of optimum use of land and sustainable tourism.

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References

  • Abrams, M. (2000). The advanced space borne thermal emission and reflection radiometer (ASTER): data products for the high spatial resolution imager on NASA’s terra platform. International Journal of Remote Sensing, 21(5), 847–859.

    Article  Google Scholar 

  • Anderson, J.R. (1976) A land use and land cover classification system for use with remote sensor data. vol. 964. US Government Printing Office.

  • Antonellini, M., Dentinho, T., Khattabi, A., Masson, E., Mollema, P. N., Silva, V., & Silveira, P. (2014). An integrated methodology to assess future water resources under land use and climate change: an application to the Tahadart drainage basin (Morocco). Environment and Earth Science, 71(4), 1839–1853.

    Article  Google Scholar 

  • Atik, M., Altan, T., & Artar, M. (2010). Land use changes in relation to coastal tourism developments in Turkish Mediterranean. Pol. J Environmental Studies, 19(1), 21–33.

    Google Scholar 

  • Baatz, M. (2000). Multi resolution Segmentation: an optimum approach for high quality multi scale image segmentation. Beutrage zum AGIT-Symposium (pp. 12–23). Salzburg: Heidelberg.

  • Blaschke, T., & Strobl, J. (2001). What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS. GIS—Zeitschrift für Geoinformations Systeme, 14(6), 12–17.

    Google Scholar 

  • Boers, B., & Cottrell, S. (2007). Sustainable tourism infrastructure planning: a GIS-supported approach. Tourism Geographies, 9(1), 1–21.

    Article  Google Scholar 

  • Bualhamam, M. R. (2009). The study of urban growth impact in tourism area using remote sensing and GIS technique for north part of the UAE. Journal of Geography and Regional Planning, 2(6), 166–175.

    Google Scholar 

  • Census of India (2011). District census handbook, Dehradun, Directorate of Census Operations, Series-06, Part XII-B http://www.censusindia.gov.in/2011census/dchb/0505_PART_B_DCHB_DEHRADUN.pdf.

  • Chandel, V. B., Brar, K. K., & Chauhan, Y. (2011). Remote sensing & GIS based landslide hazard zonation of mountainous terrains a study from middle Himalayan Kullu district, Himachal Pradesh, India. Journal of Geoscience and Environment Protection, 2(1), 121–132.

    Google Scholar 

  • Chang, G., & Caneday, L. (2011). Web-based GIS in tourism information search: perceptions, tasks, and trip attributes. Tourism Management, 32(6), 1435–1437.

    Article  Google Scholar 

  • Chhetri, P., & Arrowsmith, C. (2008). GIS-based modelling of recreational potential of nature-based tourist destinations. Tourism Geographies, 10(2), 233–257.

    Article  Google Scholar 

  • City Development Plan: Dehradun Revised (2007). Jawaharlal Nehru national urban renewal mission, Urban Development Department, Govt. of Uttarakhand https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwj44Jj0wdXQAhXFrY8KHdovAcoQFggaMAA&url=http%3A%2F%2Fwww.jnnurmmis.nic.in%2Ftoolkit%2FCDP_DEHRADUN.PDF&usg=AFQjCNFwNl56DToKruPlgCygcXl_oYMhNQ&sig2=myqDtDy8XWspaaHq84_tsA&bvm=bv.139782543,d.c2I.

  • Clarke, P. J., & Evans, F. C. (1954). Distance to nearest neighbour as a measure of spatial relationships in populations. Ecology, 35(4), 445–453.

    Article  Google Scholar 

  • Conchedda, G., Durieux, L., & Mayaux, P. (2008). An object-based method for mapping and change analysis in mangrove ecosystems. ISPRS Journal of Photogrammetery & Remote Sensing, 63(5), 578–589.

    Article  Google Scholar 

  • DMMR; 2017 State disaster management action plan for the state of Uttarakhand, Disaster Mitigation & Management Centre Uttarakhand Secretariat Rajpur Road, Dehradun, India.

  • Dye, A. S., & Shaw, L. S. (2007). A GIS-based spatial decision support system for tourists of Great Smoky Mountains National Park. Journal of Retailing and Consumer Services, 14, 269–278.

    Article  Google Scholar 

  • Gamanya, R., de Maeyer, P., & De Dapper, M. (2009). Object-oriented change detection for the city of Harare, Zimbabwe. Expert Systems with Applications, 36(1), 571–588.

    Article  Google Scholar 

  • Gossling, S. (2002). Global environmental consequences of tourism. Global Environmental Change, 12(4), 283–302.

    Article  Google Scholar 

  • Hay, G.J. and Castilla, G. (2006). Object based image analysis: strength, weakness, opportunities and threats. The international archives of the photogrammetry, remote sensing and spatial information science.

  • Hirano, A., Welch, R., & Lang, H. (2003). Mapping from aster stereo image data: DEM validation and accuracy assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 57(5), 356–370.

    Article  Google Scholar 

  • Irons, J.R., and Taylor, M.P., Laura, R. (2016). Landsat1. Landsat Science. NASA.

  • Jade, S., & Sarkar, S. (1993). Statistical models for slope instability classification. Engineering Geology, 36(1–2), 91–98.

    Article  Google Scholar 

  • Kirch, A. (2002). Impact of tourism and urbanization on water supply and water quality in Manali, northern India. Canadian Water Resources Journal, 27(4), 383–400.

    Article  Google Scholar 

  • Kuniyal, J. C., Vishvakarma, S. C. R., Badola, H. K., & Jain, A. P. (2004). Tourism in Kullu valley—an environmental assessment. Uttaranchal: GBPIHED.

    Google Scholar 

  • Liu, Y., Li, M., Mao, L., & Xu, F. (2006). Review of remotely sensed imagery classification patterns based on object oriented image analysis. Chinese Geographical Science, 16(3), 282–288.

    Article  CAS  Google Scholar 

  • Navulur, K. (2007). Multispectral image analysis using the object-oriented paradigm. Boca Raton: CRC Press.

    Google Scholar 

  • Nikolakopoulos, K. G., Kamaratakis, E. K., & Chrysoulakis, N. (2006). SRTM vs. ASTER elevation products. Comparison for two regions in Crete, Greece. International Journal of Remote Sensing, 27(21), 4819–4838.

    Article  Google Scholar 

  • NRC. (1998). Soil classification working group, the Canadian system of soil classification (3rd ed.). Canada: National Research Council (NRC) Research Press, Ottawa.

    Google Scholar 

  • Rounsevell, M., Reginster, I., Araujo, M., Carter, T., Dendoncker, N., Ewert, F., House, J., Kankaanpaa, S., Leemans, R., & Metzger, M. (2006). A coherent set of future land use change scenarios for Europe. Agriculture, Ecosystems and Environment, 114(1), 57–68.

    Article  Google Scholar 

  • Sarkar, S., & Gupta, P. K. (2005). Techniques for landslide hazard zonation-application to Srinagar-Rudraprayag area of Garhwal Himalaya. Journal of The Geological Society of India, 65(2), 217–230.

    Google Scholar 

  • Sharma, A., Singh, O.P., Saklani, M.M. (2012). Climate of Dehradun. Indian Meteorological Department, Ministry of Earth Sciences https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjg3PjJvNXQAhVEr48KHUKvDb0QFggaMAA&url=http%3A%2F%2Famssdelhi.gov.in%2Fnews_events%2FDehradun_Climate.pdf&usg=AFQjCNFOCUuRstPNrozkuiaaxyHo654Jg&sig2=UbtC5YjAwiWGIoo08PfCcQ&bvm=bv.139782543,d.c2I.

  • Shirazi, S. M., Imran, H. M., Akib, S., Yusop, Z., & Harun, Z. B. (2013). Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques. Environment and Earth Science, 70(5), 2293–2304.

    Article  Google Scholar 

  • Vijay, R., Kushwaha, V. K., Chaudhury, A. S., Naik, K., Gupta, I., Kumar, R., & Wate, S. R. (2016). Assessment of tourism impact on land use/land cover and natural slope in Manali, India: a geospatial analysis. Environment and Earth Science, 75, 20.

    Article  Google Scholar 

  • Wuest, B., & Zhang, Y. (2009). Region based segmentation of QuickBird multispectral imagery through band ratios and fuzzy comparison. ISPRS Journal of Photogrammetry and Remote Sensing, 64(1), 55–64.

    Article  Google Scholar 

  • Yin K. L., Yan T. Z. (1988) Statistical prediction model for slope instability of metamorphosed rocks. In: Proceedings of the 5th International Symposium on Landslides, Lausanne, Switzerland (Vol. 2, pp. 1269-1272).

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Acknowledgements

Authors are thankful to the Director, CSIR-NEERI, Nagpur for providing necessary infrastructure and support to carry out this research study.

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Authors and Affiliations

  1. CSIR-National Environmental Engineering Research Institute, Nerhu Marg, Nagpur, India

    Jaydip Dey, Saurabh Sakhre, Vikash Gupta, Ritesh Vijay, Rajesh Biniwale & Rakesh Kumar

  2. CSIR-Indian Institute of Petroleum, Dehradun, India

    Sunil Pathak

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  1. Jaydip Dey
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  2. Saurabh Sakhre
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  3. Vikash Gupta
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  4. Ritesh Vijay
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  5. Sunil Pathak
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  6. Rajesh Biniwale
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  7. Rakesh Kumar
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Correspondence to Ritesh Vijay.

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Dey, J., Sakhre, S., Gupta, V. et al. Geospatial assessment of tourism impact on land environment of Dehradun, Uttarakhand, India. Environ Monit Assess 190, 181 (2018). https://doi.org/10.1007/s10661-018-6535-4

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