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ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: https://www.sciepub.com/journal/aees Editor-in-chief: Alejandro González Medina
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Applied Ecology and Environmental Sciences. 2020, 8(4), 143-153
DOI: 10.12691/aees-8-4-1
Open AccessArticle

Landslide Susceptibility Mapping in East Sikkim Region of Sikkim Himalaya Using High Resolution Remote Sensing Data and GIS techniques

Prakash Biswakarma1, Binoy Kumar Barman2, Varun Joshi1, and K. Srinivasa Rao2

1University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi-110078, India

2Department of Geology, Mizoram University, Aizawl-796 004, India

Pub. Date: May 25, 2020
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Cite this paper:
Prakash Biswakarma, Binoy Kumar Barman, Varun Joshi and K. Srinivasa Rao. Landslide Susceptibility Mapping in East Sikkim Region of Sikkim Himalaya Using High Resolution Remote Sensing Data and GIS techniques. Applied Ecology and Environmental Sciences. 2020; 8(4):143-153. doi: 10.12691/aees-8-4-1

Abstract

Occurrence of landslides is very common and frequent phenomenon in hilly terrain of Indian Himalayan region leading to severe environmental and socio-economic issues. The current research used the method of weighted parameter, Remote Sensing (RS) and Geographic Information System (GIS) for landslide susceptibility mapping in the study area, East Sikkim district of Sikkim Himalaya. The different thematic layers were produced from high-resolution terrain corrected ALOS PALSAR DEM of 12.5 meter spatial resolution, Sentinel-2A data of 10 meter spatial resolution multi-spectral satellite information, LANDSAT 8 multi-spectral satellite information and multiple other landslide-related sources such as rainfall distribution, slope and structural/linear features (faults, thrusts, roads). These thematic map layers were integrated in a GIS platform (ArcGIS10.7) to delineate vulnerable landslide prone zones. The weighted assigned values were used for assigning weightage ranging from 0 to 10 for various causative factors responsible for landslide occurrences using standard weighted overly techniques. Landslide susceptibility map of the entire research area is split into three categories i.e. low susceptibility, medium susceptibility and high susceptibility. The final map of the landslide susceptibility was further validated with GPS location information gathered from the field survey of active landslide locations. This research would be helpful in the study region for adequate planning of future development of infrastructure, landslide hazard prevention, and geo-environmental development.

Keywords:
landslides landslide susceptibility mapping Sikkim Himalaya DEM GIS

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Barnard PL, Owen LA, Sharma MC, Finkel RC. (2001). Natural and human-induced landsliding in the Garhwal Himalaya of northern India. Geomorphology, 40(1-2), 21-35.
 
[2]  National Disaster Management Authority. (2009). National Disaster Management Guidelines-Management of landslides and snow avalanches. A publication of the National Disaster Management Authority (NDMA), Government of India, New Delhi.
 
[3]  Cruden DM. (1991). A simple definition of a landslide. Bulletin of the International Association of Engineering Geology, 43, (1), 27-29.
 
[4]  Castellanos Abella E A. (2008). Multi-scale landslide risk assessment in Cuba. ITC.
 
[5]  Zillman J. (1999). The physical impact of disaster. Natural Disaster Management. Leicester: Tudor Rose Holdings Ltd. Leicestr, 320.
 
[6]  Froude M J, Petley D. (2018). Global fatal landslide occurrence from 2004 to 2016. Natural Hazards and Earth System Sciences, 18, 2161-2181.
 
[7]  Petley D. (2011). Global deaths from landslides in 2010 (updated to include a comparison with previous years). Landslide Blog.
 
[8]  Kirschbaum DB, Adler R, Hong Y, Lerner-Lam A. (2009). Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories. Natural Hazards and Earth System Sciences, 9(3), 673-686.
 
[9]  Agarwal DK, Krishna AP, Joshi V, Kumar K, Palni LMS. (1997). Perspectives of Mountain Risk Engineering in the Himalayan Region. Himavikas Occasional Publication No. 10, G.B. Pant Institute of Himalayan Environment and Development, Almora (India), Gyanodaya Prakashan, Nainital, India. 244.
 
[10]  Aleotti P, Chowdhury R. (1999). Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the environment, 58(1), 21-44.
 
[11]  Dai FC, Lee CF. (2002). Landslides characteristics and slope instability modeling using GIS, Lantauland, Hong Kong. Geomorphology, 42, 213-228.
 
[12]  Jiang J, Xiang W, Zhang W, Pan J. (2016). Deformation forecasting of huangtupo riverside landslide in the case of frequent microseisms. Journal of Earth Science, 27(1), 160-166.
 
[13]  Keefer DK. (1984). Landslides caused by earthquakes. Geological Society of America Bulletin, 95(4), 406-421.
 
[14]  Wu YP, Zhang QX, Tang HM, Xiao W. (2014). Landslide hazard warning based on effective rainfall intensity. Earth Science, 39(7), 889-895.
 
[15]  Xie XJ, Wei FQ, Zhang J. (2015). Application of projection pursuit model to landslide risk classification assessment. Earth Science––Journal of China University of Geosciences, 40(9), 1598-1606.
 
[16]  Yang ZY, Pourghasemi HR, Lee YH. (2016). Fractal Analysis of Rainfall-Induced Landslide and Debris Flow Spread Distribution in the Chenyulan Creek Basin, Taiwan. Journal of Earth Science, 27(1), 151-159.
 
[17]  Bhasin MK, Bhasin Veena. (2002). Sikkim Himalayas: Ecology and Resources Development, Kamla-Raj Enterprise, Delhi.
 
[18]  Lee S. (2005). Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. International Journal of Remote Sensing, 26(7), 1477-1491.
 
[19]  Pal SC, Chowdhuri I. (2019). GIS-based spatial prediction of landslide susceptibility using frequency ratio model of Lachung River basin, North Sikkim, India. SN Applied Sciences, 1(5), 416.
 
[20]  Singh A, Pal S, Kanungo DP, Pareek N. (2017). An overview of recent developments in landslide vulnerability assessment-presentation of a new conceptual framework. In Workshop on World Landslide Forum, 795-802. Springer, Cham.
 
[21]  Joshi V, Kumar K. (2006). Extreme rainfall events and associated natural hazards in Alaknanda valley, Indian Himalayan region. Journal of Mountain Science, 3(3), 228-236.
 
[22]  Sarkar S, Roy AK, Martha TR. (2013). Landslide susceptibility assessment using information value method in parts of the Darjeeling Himalayas. Journal of the Geological Society of India, 82(4), 351-362.
 
[23]  Cruden DM, Varnes JD. (1996). Landslide types and processes. Landslides: investigation and mitigation, transportation research board (National Research Council).
 
[24]  Gerrard J. (1994). The landslide hazard in the Himalayas: geological control and human action. In Geomorphology and Natural Hazards, 221-230. Elsevier.
 
[25]  Casson B, Delacourt C, Baratoux D, Allemand P. (2003). Seventeen years of the ‘‘La Clapie`re’’ landslide evolution analysed from ortho-rectified aerial photographs. Environmental Geology,68, 123-139.
 
[26]  Fraser A, Huggins P, Rees J, Cleverly P. (1997). A satellite remote sensing technique for geological structure horizon mapping. International Journal of Remote Sensing,18(7), 1607-1615.
 
[27]  Glassey P, Barrell D, Forsyth J, Macleod R. (2003). The geology of Dunedin, New Zealand, and the management of geological hazards. Quaternary International, 103(1), 23-40.
 
[28]  Herva´s J, Barredo JI, Rosin PL, Pasuto A, Mantovani F, Silvano S. (2003). Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy. Geomorphology, 54, 63-67.
 
[29]  Kumar KV, Nair RR, Lakhera RC. (1993). Digital image enhancement for delineating active landslide areas. Asia-Pacific Remote Sensing Journal, 6(1), 63-66.
 
[30]  Lazzari M, Salvaneschi P. (1999). Embedding a Geographic Information System in a decision support system for landslide hazard monitoring. Natural Hazards, 20, 185-195.
 
[31]  Lee S, Ryu JH, Won JS, Park HJ. (2003). Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Engineering Geology, 71(3-4), 289-302.
 
[32]  Michael-Leiba M, Baynes F, Scott G, Granger K. (2003). Regional landslide risk to the Cairns community. Natural Hazards, 30, 233-249.
 
[33]  Pieraccini M, Casagli N, Luzi G, Tarchi D, Mecatti D, Noferini L, Atzeni C. (2003). Landslide monitoring by ground-based radar interferometry: a field test in Valdarno (Italy). International Journal on Remote Sensing, 24(6), 1385-1391.
 
[34]  Sakellariou MG, Ferentinou MD. (2001). GIS-based estimation of slope stability. Natural Hazards Rev 2(1), 12-21.
 
[35]  Van Westen CJ, Getahun Lulie F. (2003). Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models. Geomorphology, 54, 77-89.
 
[36]  Yamaguchi Y, Tanaka S, Odajima T, Kamai T, Tsuchida S. (2003). Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates. International Journal of Remote Sensing, 24(18), 3523-3534.
 
[37]  Geology and Mineral Resources of Sikkim. (2012). Geological Survey of India Miscellaneous Pulication No.30, part XIX- Sikkim. Published by order of Government of India.
 
[38]  Ayalew L, Yamagishi H. (2005). The application of GIS based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko mountains Central Japan. Geomorphology 65 (1): 15-31.
 
[39]  Sharma S, Mahajan AK. (2018). Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India. Spatial Information Research, 1-12.
 
[40]  Wang Q, Li W, Chen W, Bai H. (2015). GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China. Journal of Earth System Science, 124(7):1399-1415.
 
[41]  UCI (2019) https://chrs.web.uci.edu/resources.php.
 
[42]  Rawat MS (2015) Geo-environmental studies in a part of east sikkim with special reference to landslide. Ph.D thesis submitted to H. N. B. Garhwal University, Srinagar, Uttarakhand, India.
 
[43]  Gokceoglu C, Aksoy H, (1996). Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques. Engineering Geology. 44 (4): 147-161.
 
[44]  Barman BK, Srinivasa Rao K, (2019) Landslide hazard susceptibility mapping of upper Tuirial watershed, Mizoram using Remote Sensing and GIS techniques. International Journal of Research and Analytical Reviews, 6 (1): 1624-1630.
 
[45]  Sharma AK, Joshi V, Kumar K. (2011). Landslide hazard zonation of Gangtok area, Sikkim Himalaya using remote sensing and GIS techniques. Journal of Geomatics, 5(2), 87-88.
 
[46]  Wyllie DC, Mah CW. (2005). Rock slope engineering—civil and mining, 4th edn. Spon.
 
[47]  Joshi V, Murthy TVR, Arya AS, Narayana A, Naithani AK, Garg JK. (2003). Landslide hazard zonation of Dharasu–Tehri–Ghansali area of Garhwal Himalaya, India using remote sensing and GIS techniques. Journal of Nepal Geological Society, 28, 85-94.
 
[48]  Saraf AK, Das J, Sharma K, Borgohain S, Naithani NP. (2018). Prospect of Early Detection of Earthquake and Reservoir Induced Landslides. Abstract volume of “International Conference on Climate Change and Disaster Risk Reduction” Oct. 26-28, 2018, 09-10.
 
[49]  Greenway DR. (1987). Vegetation and slope stability. In M. G. Anderson & K. S. Richards (Eds.), Slope stability (pp. 187-230). New York: Wiley.
 
[50]  van Den Eeckhaut M, Poesen J, van Gils M, van Rompaey A, Vandekerckhove L. (2009). How do humans interact with their environment in residential areas prone to landsliding? A case study from the Flemish Ardennes. Proceedings of the international conference on “landslide processes: from geomorphologic mapping to dynamic modelling” (19-24) Strasbourg, France, 6-7.
 
[51]  Vanacker V, Vanderschaeghe M, Govers G, Willems E, Poesen J, Deckers J, De Bievre B. (2003). Linking hydrological, infinite slope stability and land-use change models throughGIS for assessing the impact of deforestation on slope stability in high Andean watersheds. Geomorphology, 52, 299-315.
 
[52]  Horton RE. (1945). Erosional development of streams and their drainage basins: Hydro physical approach to quantitative morphology. Geological Society of America Bulletin, 56, 275-370.
 
[53]  Rozos D, Bathrellos GD, Skillodimou HD. (2011). Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece. Environmental Earth Sciences, 63(1), 49-63.
 
[54]  Pandey A, Dabaral PP, Chowdary VM, Yadav NK. (2007). Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India. Environmental Geology 54(7), 1517-1529.
 
[55]  Basharat M, Shah HR, Hameed N. (2016). Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan. Arabian Journal of Geosciences, 9(4), 292.
 
[56]  Gurugnanam B, Bagyaraj M, Kumaravel S, Vinoth M, Vasudevan S. (2012). GIS based weighted overlay analysis in landslide hazard zonation for decision makers using spatial query builder in parts of Kodaikanal taluk, South India. Journal of Geomatics, 6(1), 49.
 
[57]  Roslee R, Mickey AC, Simon N, Norhisham MN. (2017). Landslide susceptibility analysis (LSA) using weighted overlay method (WOM) along the Genting Sempah to Bentong Highway, Pahang. Malaysian Journal of Geosciences (MJG), 1(2), 13-19.
 
[58]  Sadr MP, Hassan, H, Maghsoudi A. (2014). Slope Instability Assessment using a weighted overlay mapping method, A case study of Khorramabad-Doroud railway track, W Iran. Journal of Tethys, 2(3), 254-271.
 
[59]  Shit PK, Bhunia GS, Maiti R. (2016). Potential landslide susceptibility mapping using weighted overlay model (WOM). Modeling Earth Systems and Environment, 2(1), 21.
 
[60]  Rawat MS, Uniyal DP, Dobhal R, Joshi V, Rawat BS, Bartwal A, Aswal A. (2015). Study of landslide hazard zonation in Mandakini Valley, Rudraprayag district, Uttarakhand using remote sensing and GIS. Current Science, 158-170.
 
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