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Geospatial landslide inventory of India—an insight into occurrence and exposure on a national scale

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Abstract

India ranks first in the world in terms of fatal landslides. Large vulnerable area (0.42 million km2), high population density and monsoon rainfall make India’s landslide management and mitigation task difficult. Therefore, an understanding of landslide occurrences and exposure of socio-economic parameters on a national scale is essential to prioritise landslide mitigation efforts. In this paper, a database of 45,334 landslides (polygons) in India mapped by the National Remote Sensing Centre (NRSC) during the 1998–2018 period was compiled and catalogued in a WebGIS platform. High-resolution satellite data such as IRS PAN+LISS-III, Resourcesat LISS-IV Mx, Cartosat, WorldView, Pleiades and GeoEye were used to map landslides as small as 12 m2 to as big as 1,390,350 m2. GIS analysis using the landslide inventory revealed interesting results about control, exposure and pattern of landslide occurrences in India. The Northwest Himalayas contribute 66.5% of landslides in India, followed by the Northeast Himalayas (18.8%) and the Western Ghats (14.7%). The Greater Himalayan sequence consisting of high-grade metamorphic rocks has a considerable control (32%), and the Main Central Thrust is the major regional structure controlling (12%) landslides in India. In the Northeast Himalayas, the size of landslides and the slope gradient controlling landslide occurrence are less in comparison to the Northwest Himalayas and the Western Ghats. Landslides in the Western Ghats are triggered with a lesser amount of rainfall than the Himalayan regions. Exposure analysis using four key socio-economic parameters in the 145 hilly districts shows that Rudraprayag district is most affected by landslides in India. The understanding derived using the landslide database on a national scale will help to prioritise and strengthen landslide disaster risk reduction strategies in India.

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References

  • Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. Eng Geol 32:269–277

    Article  Google Scholar 

  • Brardinoni F, Slaymaker O, Hassan MA (2003) Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data. Geomorphology 54:179–196

    Article  Google Scholar 

  • Census (2011) Census of India 2011. www.censusindia.gov.in/2011

  • Census (2012) Livestock census of India 2012. www.dadf.gov.in

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides-investigation and mitigation. Special Report 247, Transportation Research Board. National Research Council. National Academy Press, Washington DC, pp 36–75

    Google Scholar 

  • Devoli G, Morales A, Hoeg K (2007) Historical landslides in Nicaragua—collection and analysis of data. Landslides 4:5–18

    Article  Google Scholar 

  • EM-DAT (2019) EM-DAT International Disaster Database - www.em-dat.net. Université Catholique de Louvain, Brussels, Belgium

  • Frank W, Grasemann B, Guntli P, Miller C (1995) Geological map of the Kishtwar-Chamba-Kulu region (NW Himalayas, India). Jahrb Geol Bundesanst 138(2):299–308

    Google Scholar 

  • Froude MJ, Petley DN (2018) Global fatal landslide occurrence from 2004 to 2016. Nat Hazards Earth Syst Sci 18:2161–2181

    Article  Google Scholar 

  • Gaetani M, Garzanti E (1991) Multicyclic history of the Northern India continental margin (Northwestern Himalaya)(1). AAPG Bull 75(9):1427–1446

    Google Scholar 

  • Galli M, Ardizzone F, Cardinali M, Guzzetti F, Reichenbach P (2008) Comparing landslide inventory maps. Geomorphology 94:268–289

  • Gansser A (1964) Geology of the Himalayas. Wiley InterScience, New York, p 289

    Google Scholar 

  • Gariano SL, Guzzetti F (2016) Landslides in a changing climate. Earth Sci Rev 162:227–252

    Article  Google Scholar 

  • Ghosh S, Ghosal TB, Mukherjee J, Bhowmik S (2016) Landslide compendium of Darjeeling-Sikkim Himalayas. GSI Special Publication 103, p 195

  • Ghosh T, Bhowmik S, Jaiswal P, Ghosh S, Kumar D (2020) Generating substantially complete landslide inventory using multiple data sources: a case study in Northwest Himalays, India. J Geol Soc India 95(1):45–58

    Article  Google Scholar 

  • Guhathakurta P, Rajeevan M (2006) Trends in the rainfall pattern over India. National Climate Centre, Research Report No: 2/2006. National Climate Centre, India Meteorological Department

  • Guzzetti F (2000) Landslide fatalities and the evaluation of landslide risk in Italy. Eng Geol 58:89–107. https://doi.org/10.1016/S0013-7952(00)00047-8

    Article  Google Scholar 

  • Hererra G et al (2017) Landslide databases in the geological surveys of Europe. Landslides 15:359–379. https://doi.org/10.1007/s10346-017-0902-z

    Article  Google Scholar 

  • Herren E (1987) Zanskar shear zone: Northeast-southwest extension within the Higher Himalayas (Ladakh, India). Geology 15(5):409–413

    Article  Google Scholar 

  • Jaiswal P, van Westen CJ, Jetten V (2011) Quantitative assessment of landslide hazard along transportation lines using historical records. Landslides 8(3):279–291

    Article  Google Scholar 

  • Jamir I, Gupta V, Thong GT, Kumar V (2019) Litho-tectonic and precipitation implications on landslides, Yamuna valley, NW Himalaya. Phys Geogr 41:1–24. https://doi.org/10.1080/02723646.2019.1672024

    Article  Google Scholar 

  • Jenness J (2006) Topographic Position Index (tpi_jen.avx) extension for ArcView 3.x, v. 1.2. Jenness Enterprises. Available at: http://www.jennessent.com/arcview/tpi.html.

  • Kirschbaum DB, Adler R, Hong Y, Hill S, Lerner-Lam A (2010) A global landslide catalog for hazard applications: method, results, and limitations. Nat Hazards 52:561–575

    Article  Google Scholar 

  • Kirschbaum D, Stanley T, Zhou Y (2015) Spatial and temporal analysis of a global landslide catalog. Geomorphology 249:4–15. https://doi.org/10.1016/j.geomorph.2015.03.016

    Article  Google Scholar 

  • Lin Q, Wang Y (2018) Spatial and temporal analysis of a fatal landslide inventory in China from 1950 to 2016. Landslides 15:2357–2372

    Article  Google Scholar 

  • Lin SC, Ke MC, Lo CM (2017) Evolution of landslide hotspots in Taiwan. Landslides 14:1491–1501

    Article  Google Scholar 

  • Malamud BD, Turcotte DL, Guzzetti F, Reichenbach P (2004) Landslide inventories and their statistical properties. Earth Surf Process Landf 29:687–711

    Article  Google Scholar 

  • Martha TR, Vinod Kumar K (2013) September, 2012 landslide events in Okhimath, India—an assessment of landslide consequences using very high resolution satellite data. Landslides 10:469–479

    Article  Google Scholar 

  • Martha TR, Kerle N, Jetten V, van Westen CJ, Vinod Kumar K (2010) Characterising spectral, spatial and morphometric properties of landslides for automatic detection using object-oriented methods. Geomorphology 116:24–36

    Article  Google Scholar 

  • Martha TR, Kerle N, van Westen CJ, Jetten V, Vinod Kumar K (2011) Segment optimisation and data-driven thresholding for knowledge-based landslide detection by object-based image analysis. IEEE Trans Geosci Remote Sens 49:4928–4943. https://doi.org/10.1109/TGRS.2011.2151866

    Article  Google Scholar 

  • Martha TR, Kerle N, van Westen CJ, Jetten V, Vinod Kumar K (2012) Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories. ISPRS J Photogramm Remote Sens 67:105–119

    Article  Google Scholar 

  • Martha TR, Roy P, Govindharaj KB, Vinod Kumar K, Diwakar PG, Dadhwal VK (2015) Landslide triggered by the June 2013 extreme rainfall event in parts of Uttarakhand state, India. Landslides 12(1):135–146

    Article  Google Scholar 

  • Martha TR, Kamala P, Josna J, Vinod Kumar K, Jai Sankar G (2016) Identification of new landslides from high resolution satellite data covering a large area using object-based change detection methods. J Indian Soc Remote Sens 44:515–524

    Article  Google Scholar 

  • Martha TR, Reddy S, Bhatt CM, Babu Govindharaj K, Nalini J, Anantha Padmanabha E, Narender B, Vinod Kumar K, Muralikrishnan S, Rao GS, Diwakar PG, Dadhwal VK (2017) Debris volume estimation and monitoring of Phuktal river landslide-dammed lake in the Zanskar Himalayas, India using Cartosat-2 images. Landslides 14:373–383

    Article  Google Scholar 

  • Martha TR, Roy P, Khanna K, Mrinalni K, Vinod Kumar K (2019) Landslides mapped using satellite data in the Western Ghats of India after excess rainfall during August 2018. Curr Sci 117(5):804–812

    Article  Google Scholar 

  • Mathew J, Jha VK, Rawat GS (2009) Landslide susceptibility zonation mapping and its validation in part of Garhwal Lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method. Landslides 6:17–26

    Article  Google Scholar 

  • Mirus et al (2020) Landslides across the USA: occurrence, susceptibility and data limitations. Landslides 17:1–15. https://doi.org/10.1007/s10346-020-01424-4

    Article  Google Scholar 

  • Nagarajan R, Mukherjee A, Roy A, Khire MV (1998) Temporal remote sensing data and gis application in landslide hazard zonation of part of Western Ghat, India. Int J Remote Sens 19:573–585

    Article  Google Scholar 

  • NRSA (2001) Atlas on landslide hazard zonation mapping in the Himalayas of Uttarakhand and Himachal Pradesh states using remote sensing and GIS. National Remote Sensing Agency, Hyderabad

    Google Scholar 

  • NRSC (2014) Land use/land cover database on 1:50,000 scale, Natural Resources Census Project, LUCMD, LRUMG, RSAA. National Remote Sensing Centre, ISRO, Hyderabad

    Google Scholar 

  • Parkash S, Kathait A (2014) A selected annotated bibliography and bibliography on landslides in India. National Institute of Disaster Management, Ministry of Home Affairs, Government of India, New Delhi-110002, p 172

  • Paul SK, Bartarya SK, Rautela P, Mahajan AK (2000) Catastrophic mass movement of 1998 monsoons at Malpa in Kali valley. Kumaun Himalaya (India). Geomorphology 35(3-4):169–180

    Article  Google Scholar 

  • Pennington C, Freeborough K, Dashwood C, Dijkstra T, Lawrie K (2015) The National Landslide Database of Great Britain: acquisition, communication and the role of social media. Geomorphology 249:44–51. https://doi.org/10.1016/j.geomorph.2015.03.013

    Article  Google Scholar 

  • Ramasamy (2006) Remote sensing and active tectonics of South India. Int J Remote Sens 27(20):4397–4431

    Article  Google Scholar 

  • Rautela P, Lakhera RC (2000) Landslide risk analysis between Giri and tons rivers in Himachal Himalaya (India). Int J Appl Earth Obs Geoinf 2:153–160

    Google Scholar 

  • Rosser B, Dellow S, Haubrock S, Glassey P (2017) New Zealand's national landslide database. Landslides 14:1949–1959

    Article  Google Scholar 

  • Roy P, Martha TR, Vinod Kumar K (2014) Assessment of the Sunkoshi (Nepal) landslide using multitemporal satellite images. Curr Sci 107:1961–1964

    Google Scholar 

  • Sajinkumar KS, Oommen T (2020) Landslide Atlas of Kerala. Geological Society of India, Bengaluru, p 34

    Google Scholar 

  • Sajinkumar KS, Anbazhagan S, Pradeepkumar AP, Rani VR (2011) Weathering and landslide occurrences in parts of Western Ghats, Kerala, India. J Geol Soc India 78:249–257

    Article  Google Scholar 

  • Sarkar S, Kanungo DP (2017) GIS applications in landslide susceptibility mapping of Indian Himalayas. In: Yamagishi H, Bhandary NP (eds) GIS Landslide. Springer, Tokyo, pp 211–219

    Chapter  Google Scholar 

  • Sepúlveda SA, Petley DN (2015) Regional trends and controlling factors of fatal landslides in Latin America and the Caribbean. Nat Hazards Earth Syst Sci 15:1821–1833. https://doi.org/10.5194/nhess-15-1821-2015

    Article  Google Scholar 

  • Shroder JF, Bishop MP (1998) Mass movement in the Himalaya: new insights and research directions. Geomorphology 26:13–35

    Article  Google Scholar 

  • Singh B (2014) Landslide disaster management. In: Sundaresan J et al (eds) Geospatial technologies and climate change. Springer, Switzerland

    Google Scholar 

  • Soman K (2002) Geology of Kerala. Geological Society of India, Bangalore, p 335

    Google Scholar 

  • Steck A (2003) Geology of the NW Indian Himalaya. Eclogae Geol Helv 96:147–196

    Google Scholar 

  • Taylor FE, Malamud BD, Freeborough K, Demeritt D (2015) Enriching Great Britain's national landslide database by searching newspaper archives. Geomorphology 249:52–68. https://doi.org/10.1016/j.geomorph.2015.05.019

    Article  Google Scholar 

  • Thampi PK, Mathai J, Sankar G (1995) Landslides (Urul Pottal) in Western Ghats: some field observations. Proc: Seventh Kerala Science Congress, January 1995, Palakkad, 97-99

  • Valdiya KS (2016) The making of India: geodynamic evolution. Society of Earth Scientists Series. Springer, Cham, p 924

    Book  Google Scholar 

  • van Westen CJ, Lulie Getahun F (2003) Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models. Geomorphology 54:77–89

    Article  Google Scholar 

  • van Westen CJ, Castellanos E, Kuriakose SL (2008) Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng Geol 102:112–131

    Article  Google Scholar 

  • Vinod Kumar K, Lakhera RC, Martha TR, Chatterjee RS, Bhattacharya A (2008) Analysis of the 2003 Varunawat landslide, Uttarkashi, India using earth observation data. Environ Geol 55:789–799

    Article  Google Scholar 

  • Wiesmayr G, Grasemann B (2002) Himalayan fold and thrust belt: Implications for the geodynamic evolution of the NW-Himalaya (India). Tectonics 21(6):8-1-8-19

    Article  Google Scholar 

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Acknowledgements

This paper is the outcome of the work carried out under the disaster management support (DMS) program of ISRO. We thank various partner institutes of ISRO for their contribution to the DMS program. We thank Shri Santanu Chowdhury, Director, NRSC, for his support to this work. T.R.M. was the Project Manager of ICSMD for the emergency response to landslide disaster events in India and would like to thank ICSMD and its affiliated organisations for sharing satellite images promptly for the generation of value-added products. We thank Dr. N Aparna, Group Head, NDC, NRSC and her team for providing the IRS satellite data. We also thank Shri M Arulraj and Bhuvan team for their support in the web-based cataloguing of landslides. We thank our colleagues in Geosciences Group, NRSC and few knowledge partner institutions in India who have contributed to this work. Finally, we would like to thank Dr. Shantanu Bhatawdekar, Director, EDPO; Dr. G Srinivasa Rao, Associate Director, EDPO; and Dr. K H V Durga Rao, Group Head, DMSG, NRSC, for their active support to this study.

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Correspondence to Tapas Ranjan Martha.

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Martha, T.R., Roy, P., Jain, N. et al. Geospatial landslide inventory of India—an insight into occurrence and exposure on a national scale. Landslides 18, 2125–2141 (2021). https://doi.org/10.1007/s10346-021-01645-1

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