Understanding changes in the Himalayan cryosphere using remote sensing techniques

Kulkarni, Anil V.; Rathore, B. P.; Singh, Sushil Kumar; Bahuguna, I. M.

doi:10.1080/01431161.2010.517802

Cited by 163 publications

(70 citation statements)

References 16 publications

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“…Fluctuations in the recession rate of glaciers during recent years have initiated widespread discussions, especially in the context of global warming and its effects (Dyurgerov and Meier 2005). Similar ice mass changes have also been reported in the Garhwal region of the Himalayas (Kulkarni et al 2005;Chaujar 2011a, 2011b;Kulkarni et al 2011;Bolch et al 2012). However, the *Corresponding author.…”

Section: Introductionmentioning

confidence: 68%

“…Glaciers cover about 40,800 km 2 of the Himalayan and Karakoram mountain region, and are one of the main sources of water to some of the largest rivers in the world, including the Ganges, Brahmaputra, and Indus (Kulkarni et al 2011;Bajracharya and Shrestha 2011;Bolch et al 2012). Approximately 10% of the summer discharge of the Ganges is attributed to melt waters from glaciers (Barnett, Adam, and Letternmaier 2005;Jain, Agarwal, and Singh 2007;Immerzeel, van Beek, and Bierkens 2010;Bolch et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Recent changes in the snout position and surface velocity of Gangotri glacier observed from space

Saraswat

Syed

Famiglietti

et al. 2013

International Journal of Remote Sensing

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Glacier mass variations have a direct impact on some of the key components of the global water cycle, including sea level rise and freshwater availability. Apart from being one of the largest Himalayan glaciers, Gangotri is one of the sources of water for the Ganges river, which has a considerable influence on the socioeconomic structure of a largely over-populated catchment area accounting for ∼26% of India's landmass. In this study, we present the most recent assessment of the Gangotri glacier dynamics, combining the use of interferometric techniques on synthetic aperture radar data and sub-pixel offset tracking on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery. Results show that on average, the Gangotri glacier snout has receded at a rate of 21.3 ± 3 m year −1 over a period of 6 years (2004-2010). While glacier surface velocity near the snout is estimated to be between 24.8 ± 2.3 and 28.9 ± 2.3 m year −1 , interior portions of the glacier recorded velocities in the range of 13.9 ± 2.3 to 70.2 ± 2.3 m year −1 . Further, the average glacier surface velocity in the northern (lower) portions (28.1 ± 2.3 m year −1 ) is observed to be significantly lower than in the southern (higher) portions (48.1 ± 2.3 m year −1 ) of the Gangotri glacier. These values are calculated with an uncertainty of less than 5 m year −1 . Results also highlight a consistent retreat and non-uniform dynamics of the Gangotri glacier.

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Section: Introductionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Recent changes in the snout position and surface velocity of Gangotri glacier observed from space

Saraswat

Syed

Famiglietti

et al. 2013

International Journal of Remote Sensing

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“…Besides, a numbers of studies using satellite data were made by Bhambri et al (2011Bhambri et al ( , 2012, Dozier and Hall (1987), Kulkarni et al ( , 2004Kulkarni et al ( , 2005Kulkarni et al ( , 2007Kulkarni et al ( , 2011, Kordzakhia et al (2015), Pandey et al (2012) and Rai et al (2009Rai et al ( , 2013Rai et al ( , 2016. It was showed that the best method for analysis of glaciers is application of combined approach of satellite remote sensing with terrestrial observations and expert knowledge of separate glaciers.…”

Section: Introductionmentioning

confidence: 99%

“…Recession also leads to volume loss in glaciers and increase sea level water rises (Dobhal et al 2004). Kulkarni et al (2011) have assessed glacial retreat for 1868 glaciers in 11 basins of Indian Himalaya since 1962 and presented a total deglaciation of about 16%. A detailed study through mapping of Chota shigri, Patsio and Samudra Tapu glaciers in Chenab basin, Parbati glacier in Parbati basin and Shaune Garang glacier in Baspa basin has reported an overall deglaciation of 21% from 1962 to 2001 (Kulkarni et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing-Based Study for Evaluating the Changes in Glacial Area: A Case Study from Himachal Pradesh, India

et al. 2017

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“…At present, numerous remotely sensed glacier mapping methods are based on monotemporal satellite images, and classification or threshold segmentation-based methods 9 are the most common ways of glacier delineation. [10][11][12] Multitemporal and multispectral optical remote sensing images, such as Landsat TM, ASTER, provide an ideal data source for detecting glacier changes at appropriate spatial scales. [13][14][15] Normal difference snow index (NDSI) is a widely used indicator to enhance snow and ice while depressing other ground features, providing a simple but effective way of developing automated segmentation methods with multispectral images.…”

Section: Introductionmentioning

confidence: 99%

Mapping changes in the glaciers of the eastern Tienshan Mountains during 1977–2013 using multitemporal remote sensing

Bao

et al. 2014

J. Appl. Remote Sens

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Abstract. Because it has similar spectral characteristics as glaciers, snow around glaciers is a complicating factor in glacier inventory from satellite images. It is rare to acquire snowless and cloud-free satellite images in perennial snow mountain regions, and, moreover, glaciers are also usually shaded by mountain shadows. Therefore, a monotemporal satellite image can hardly map an intact glacier boundary. An object-oriented image segmentation method is proposed to map glaciers and their changes with multitemporal Landsat imagery. First, a "global-local" iteration segmentation method was used to delineate the snow and ice boundaries with each single phase image. Second, the mountain shadows of multitemporal Landsat images with different sun angles were mapped by methods of terrain analyses, and some parts of the glaciers inside these shadow regions can be identified. Finally, the complete glacier boundaries were restored with multitemporal images, and then these boundaries were intersected to get the minimum glacier extents. The method was tested with multitemporal Landsat images during 1977-2013 in the eastern Tienshan Mountains of Central Asia, and the spatial patterns and temporal process of these glacier changes in the last years were also analyzed. The results showed that the proposed method performs well in mapping glaciers in rugged alpine regions. Combining multiple images in different seasons provides a more effective way of removing disturbing factors during the process of glacier extraction. The total glacier area in the eastern Tienshan Mountains has decreased to 106.83 km 2 in 2013, with a loss of 21.5% since 1977, and the rate of glacier shrinkage accelerates in recent decades. The relationship between glacier recession and river runoffs was also analyzed, and the results showed that small glaciers whose areas are about 1.1 km 2 provide less runoff than those larger glaciers with about 2.5 km 2 . © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Understanding changes in the Himalayan cryosphere using remote sensing techniques

Cited by 163 publications

References 16 publications

Recent changes in the snout position and surface velocity of Gangotri glacier observed from space

Recent changes in the snout position and surface velocity of Gangotri glacier observed from space

Remote Sensing-Based Study for Evaluating the Changes in Glacial Area: A Case Study from Himachal Pradesh, India

Mapping changes in the glaciers of the eastern Tienshan Mountains during 1977–2013 using multitemporal remote sensing

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