Skip to main content

Advertisement

Log in

Surface area change detection of snow/ice cover over Zemu Glacier of Sikkim Himalaya

  • Research
  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

This study assessed the snow/ice surface area changes over the Zemu Glacier in the Eastern Himalayas. Zemu is considered to be the largest glacier in the Eastern Himalayas located in the Sikkim State of India. Change detection in the snow/ice surface areal extent of the Zemu Glacier was delineated from the year 1945 using US Army Map Service-Topographical Sheets and Landsat imageries available from 1987 to 2020. The results obtained solely focus on surface-change delineation using remote sensing satellite data and GIS software. Landsat imagery of the years 1987, 1997, 2009, 2018, and 2020 was used for snow and ice pixel extraction. Normalized Difference Snow Index (NDSI), Snow Cover Index (S3), and new band ratio index were used to extract the pure snow and ice pixels, fresh snow, and debris-covered snow/ice area and pixels mixed with shadow to demarcate the surface area changes. Manual delineation was required and undertaken for better results. A slope raster image was generated from Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data to delineate the slope and hill shade. The results illustrate that the snow/ice surface covering the glacier had an area of 113.5 km2 in the year 1945 which was reduced to 78.31 km2 in the year 2020 indicating a total snow/ice surface area loss of 31% in 75 years. A loss of 11.45% was observed from 1945 to 1987 in the areal extent, while from 1987 to 2009, a decadal loss of approximately 7% was observed. The surface area loss of 8.46% from 2009 to 2018 led to infer the maximum loss of snow and ice over the glacier body at a rate of 0.94% per year. Between the years 2018 and 2020, the glacier lost 1.08% of its surface area. The Accumulation Area Ratio (AAR) considering the accumulation and ablation areas of the glacier indicated a gradual decline of the accumulation zone in the recent years. Global Land Ice Measurement from Space (GLIMS) program data with RGI version 6.0 was used as a reference to demarcate the areal extent of Zemu Glacier. The study gained above 80% of overall accuracy by generating a confusion matrix in ArcMap. The analysis of this seasonal snow/ice cover showed that there has been a drastic decline in the surface snow/ice cover area over the Zemu Glacier over the years 1987 to 2020 and NDSI; S3 analysis provided improved results to delineate snow/ice cover area over such steep terrain topography of Sikkim Himalaya.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Alifu, H., Tateishi, R., & Johnson, B. (2015). A new band ratio technique for mapping debris covered glaciers using Landsat imagery and a digital elevation model. International Journal of Remote Sensing, 36(8), 2063–2075.

    Article  Google Scholar 

  • Bahuguna, I. M., Rathore, B. P., Brahmbhatt, R., Sharma, M., Dhar, S., Randhawa, S. S., Kumar, K., Romshoo, S., Shah, D. R., Ganjoo, K. R., & Anjai. (2014). Are the Himalayan glaciers retreating? Current Science, 106(7).

  • Basnett, S., Kulkarni, A. V., & Bolch, T. (2013). The influence of debris cover and glacial lakes on the recession of glaciers in Sikkim Himalaya, India. Journal of Glaciology, 59(218), 1035–1046.

    Article  Google Scholar 

  • Bishop, M. P., Shroder J. F. Jr., & Hickman, B. L. (1999). High resolution satellite imagery and neural networks for information extraction in a complex mountain environment. Geocarto International, 14(2), 17–26. https://doi.org/10.1080/10106049908542100

    Article  Google Scholar 

  • Bolch, T. (2007). Climate change and glacier retreat in northern Tien Shan (Kazakhstan/Kyrgyzstan) using remote sensing data. Global and Planetary Change, 56(1–2), 1–12.

    Article  Google Scholar 

  • Bolch, T., Buchroitner, M., Peters, J., Baessier, M., Bajracharya, S. R. (2008). Identification of glacier motion and potentially dangerous glacial lakes in the Mt. Everest region, Nepal using space borne imagery. Natural Hazards Earth System Science, 8, 1329–1340.

  • Bolch, T., Kulkarni, A., Kaab, A., Huggel, C., Paul, F., Cogley, J. G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S. R., & Stoffel, M. (2012). The state and fate of Himalayan glaciers. Science, 336, 310–314.

    Article  CAS  Google Scholar 

  • Brun, F., Berthier, E., Wagnon, P., Kääb, A., & Treichler, D. (2017). A spatially resolved estimate of high mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10(9), 668–673.

    Article  CAS  Google Scholar 

  • Chandy, T., Keenan, R. J., Petheram, R. J., & Shepherd, P. (2012). Impacts of hydropower development on rural livelihood sustainability in Sikkim. Mountain Research and Development, 32(2), 117–125.

    Article  Google Scholar 

  • Chattopadhyay, G. P. (2008). Recent retreats of glaciers on the southeast- facing slopes of the Kanchenjunga Summit Complex in the Sikkim Himalaya. Himalayan Geology, 29(2), 171–176.

    Google Scholar 

  • Debnath, M., Sharma, M. C., & Syiemlieh, H. J. (2019). Glacier dynamics in Changme Khangpu Basin, Sikkim Himalaya, India, between 1975 and 2016. Geosciences, 9, 259.

    Article  Google Scholar 

  • Hall, D. K., Riggs, G. A., & Salomonson, V. V. (1995). Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sensing of Environment, 54, 127–140.

    Article  Google Scholar 

  • Hall, D. K., Bayr, K. J., & Bindschadler, R. (2001). Changes in the Pasterze glacier, Austria as measured from the ground and space. 58th Eastern Snow Conference, 187–193.

  • Hazra, P., & Krishna, A. P. (2019). Spatio-temporal and surface elevation change assessment of glaciers of Sikkim Himalaya (India) across different size classes using geospatial techniques. Environmental Earth Sciences, 78, 387.

    Article  Google Scholar 

  • Hazra, P., & Krishna, A. P. (2022). Assessment of proglacial lakes in Sikkim Himalaya, India for Glacial Lake Outburst Flood (GLOF) risk analysis using HEC-RAS and geospatial techniques. Journal of Geological Society, 98, 344–352. https://doi.org/10.1007/s12594-022-1986-1

    Article  Google Scholar 

  • Immerzeel, W. W., VanBeek, L. P. H., & Bierkens, M. F. P. (2010). Climate change will affect the Asian water towers. Science, 328, 1382–1385.

    Article  CAS  Google Scholar 

  • Joshi, D., Platteeuw, J., Singh, J., & Teoh, J. (2019). Watered down? Civil society organizations and hydropower development in the Darjeeling and Sikkim regions, Eastern Himalaya: A comparative study. Climate Policy, 9(1), S63–S77.

    Article  Google Scholar 

  • Kaser, G., Grosshauser, M., & Marzeion, B. (2010). Contribution potential of glaciers to water availability in different climate regimes. Proceedings National Academy of Sciences, USA, 107(47), 20223–20227.

    Article  CAS  Google Scholar 

  • Krishna, A. P. (1996). Satellite remote sensing applications for snow cover characterization in the morphogenetic regions of upper Tista River basin, Sikkim Himalaya. International Journal of Remote Sensing, 17(4), 651 656. https://doi.org/10.1080/01431169608949035

  • Meier, M., & Post, A. (1962). Recent variations in mass net budgets of glaciers in western North America. In Symposium of Obergurgl (pp. 63–77).

  • Milner, M. Alexander., Khamis, K., Battin, J. T., & Brown, L. E. (2017). Glacier shrinkage driving global changes in downstream systems. PNAS Early Edition (pp. 1–9).

  • Mishra, P. K., Rai, A., & Rai, S. C. (2019). Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. The Egyptian Journal of Remote Sensing and Space Science, 23(2), 133–143.

    Article  Google Scholar 

  • Mukherjee, A. (2012). Zemu Gap from the south- the first documented ascent. Alpine Journal, pp. 114–125.

  • Notarnicola, C. (2020). Hotspots of snow cover changes in global mountain regions over 2000–2018. Remote Sensing of Environment, 243, 111781.

    Article  Google Scholar 

  • Paul, F., Huggel, C., Kaab, A., Kellenberger, T., & Maisch, M. (2002, March). Comparison of TM-derived glacier areas with higher resolution data sets. Proceedings of EARSeL-LISSIG-Workshop Observing our Cryosphere from Space,Bern.

  • Pelto., M. (2009). Zemu Glacier, thinning and retreat. From a Glaciers Perspective: Glacier Change in a world of Climate Change. https://glacierchange.wordpress.com/2009/07/02/zemu-glacier-sikkim-thinning-and-retreat/

  • Puri, M., Thakur, P. K. (2015). Remote sensing based accumulation area ratio method for glacier mass balance of Chhota Shigri Glacier. International Journal in Advance Science and Engineering, 4(1), 171–184.

  • Raina, V. K., & Srivastava, D. (2008). Glacier atlas of India; Geological Survey of India: Bangalore, India.

  • Ranzi, R. G., Grossi, L., Iacovelli, & Taschner, S. (2004). Use of multispectral ASTER images for mapping debris-covered glaciers within the GLIMS project. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS, 4(2), 1144–1147.

  • Rashid, I., & Majeed, U. (2020). Retreat and geodetic mass changes of Zemu Glacier, Sikkim Himalaya, India, between 1931 and 2018. Regional Environmental Change, 20, 125.

    Article  Google Scholar 

  • Romshoo, A. S., Dar, A. R., Rashid, I., & Marazi, A. (2015). Implications of shrinking cryosphere under changing climate on the streamflows in the Lidder catchment in the Upper Indus Basin, India. Arctic Antarctic and Alpine Research, 47(4).

  • Saito, A., & Yamazaki, T. (1999). Characteristics of spectral reflectance for vegetation ground surfaces with snow-cover; vegetation indices and snow indices. Journal of Japan Society of Hydrology and Water Resources, 12, 28–38. (in Japanese with English abstract).

    Article  Google Scholar 

  • Schild, A. (2008). ICIMOD’S position on climate change and mountain systems. Mountain Research and Development, 28, 328–331. https://doi.org/10.1659/mrd.mp009

    Article  Google Scholar 

  • Shah, S. K., Bhattacharyya, A., & Chaudhary, V. (2014). Streamflow reconstruction of Eastern Himalaya River, Lachen ‘Chhu’, North Sikkim, based on tree-ring data of Larix griffithiana from Zemu Glacier basin. Dendrochronologia, 32(2), 97–106.

    Article  Google Scholar 

  • Shimamura, Y., Izumi, T., & Matsuyama, H. (2007). Evaluation of a useful method to identify snow- covered areas under vegetation—comparisons among a newly proposed snow index, normalized difference snow index, and visible reflectance. International Journal of Remote Sensing, 27, 4867–4884.

    Article  Google Scholar 

  • Sibandze, P., Mhangara, P., Odindi, J., & Kganyago, M. (2014). A comparison of Normalised Difference Snow Index (NDSI) and Normalized Difference Principal Component Snow Index (NDPCSI) techniques in distinguishing snow from related cover types. South African Journal of Geomatics, 3(2), 197–209.

    Article  Google Scholar 

  • Singh, V., Goyal, M. K. (2018). An improved coupled framework for Glacier classification: An integration of optical and thermal infrared remote-sensing bands. International Journal of Remote Sensing, 39(20), 6864–6892.

  • Taschner, S., & Ranzi, R. (2002). Comparing the opportunities of Landsat-Tm and ASTER data for monitoring a debris covered glacier in the Italian Alps within the GLIMS project. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS’, 02(2), 1044–1046.

    Article  Google Scholar 

  • Thiebault, K., & Young, S. (2020). Snow cover change and its relationship with land surface temperature and vegetation in northeastern North America from 2000 to 2017. International Journal of Remote Sensing, 41(21), 8453–8474.

  • Xiao, X., Shen, Z., & Qin, X. (2001). Assessing the potential of vegetation sensor data for mapping snow and ice cover: A normalized difference snow and ice index. International Journal of Remote Sensing, 22, 2479–2487.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the USGS Earth Explorer data portal for providing geospatial datasets, Global Land Ice Measurements from Space (GLIMS) program at NSIDC for providing the glacier database. The authors would also like to express their gratitude to the Department of Remote Sensing, BIT, Mesra for the facilities availed to conduct the research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikita Roy Mukherjee.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mukherjee, N.R., Krishna, A.P. Surface area change detection of snow/ice cover over Zemu Glacier of Sikkim Himalaya. Environ Monit Assess 195, 611 (2023). https://doi.org/10.1007/s10661-023-11139-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-023-11139-3

Keywords

Navigation