Assessing linkages between spatial facies changes and dimensional variations of glaciers in the upper Indus Basin, western Himalaya

Ali, Iram; Shukla, Aparna; Romshoo, Shakil Ahmad

doi:10.1016/j.geomorph.2017.01.005

Cited by 51 publications

(35 citation statements)

References 64 publications

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“…Studies show that SDC influences area change and retreat. Comparison of area change in clean, sparsely debris-covered and heavily debris-covered glacier showed that the latter experienced the least shrinkage and stable terminus 7,19 . However, mass loss and surface lowering has been observed in some heavily debris-covered glaciers, though the terminus was stationary 10 .…”

Section: Introductionmentioning

confidence: 99%

Decadal Change in Supraglacial Debris Cover in Baspa Basin, Western Himalaya

Pratibha¹,

Kulkarni²

2018

Current Science

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Supraglacial debris cover (SDC) influences surface energy balance and glacier dynamics. However, very few studies have been carried out to understand its distribution and evolution. Previous glacier investigations carried out in Baspa basin, Western Himalaya, focus on retreat and mass balance. Therefore, the present study monitored change in SDC area from 1997 to 2014 using Landsat data. SDC area change was estimated within a 'minimum snow-free glacier area' using normalized difference snow index (NDSI) and band ratio of near infrared and shortwave infrared. Threshold values for NDSI and band ratio map were derived manually. The study was carried out for a 'minimum snow-free glacier area' of 60.

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Section: Introductionmentioning

confidence: 99%

Decadal Change in Supraglacial Debris Cover in Baspa Basin, Western Himalaya

Pratibha¹,

Kulkarni²

2018

Current Science

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“…These studies provide a vast working knowledge base to design and implement an effective facies mapping technique. Although the accurate mapping of glacier facies is incorporated into a large number of glaciological studies [3], a relatively fewer number of studies have focused solely on the mapping of glacier facies. This study aims to singularly outline a robust and promising technique for mapping of glacier facies by first examining classification techniques.…”

Section: Glacier Facies Via Remote Sensingmentioning

confidence: 99%

“…It is common for studies to assess their classification using manually digitized boundaries and error-matrix-based overall producer's and user's accuracy [3,33,36,39,109]. However, such assessment does not provide a broader perspective of the errors within each class.…”

Section: Evaluating the Mapped Surface Faciesmentioning

confidence: 99%

“…It is common for studies reporting glacier classification results to present their evaluation based on either the overall accuracy, producer's accuracy or the kappa statistic, such as that given by Shukla and Ali. [109], Ali et al [3], and Bhardwaj et al [36]. These studies also prefer using a "globally" accepted overall accuracy value of 85% for appreciable classification results.…”

Section: Errors Before Accuraciesmentioning

confidence: 99%

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Explorative Study on Mapping Surface Facies of Selected Glaciers from Chandra Basin, Himalaya Using WorldView-2 Data

2019

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Mapping of surface glacier facies has been a part of several glaciological applications. The study of glacier facies in the Himalayas has gained momentum in the last decade owing to the implications imposed by these facies on the melt characteristics of the glaciers. Some of the most commonly reported surface facies in the Himalayas are snow, ice, ice mixed debris, and debris. The precision of the techniques used to extract glacier facies is of high importance, as the result of many cryospheric studies and economic reforms rely on it. An assessment of a customized semi-automated protocol against conventional and advanced mapping algorithms for mapping glacier surface facies is presented in this study. Customized spectral index ratios (SIRs) are developed for effective extraction of surface facies using thresholding in an object-based environment. This method was then tested on conventional and advanced classification algorithms for an evaluation of the mapping accuracy for five glaciers located in the Himalayas, using very high-resolution WorldView-2 imagery. The results indicate that the object-based image analysis (OBIA) based semi-automated SIR approach achieved a higher average overall accuracy of 87.33% (κ = 0.85) than the pixel-based image analysis (PBIA) approach. Among the conventional methods, the Maximum Likelihood performed the best, with an overall accuracy of 78.71% (κ = 0.75). The Constrained Energy Minimization, with an overall accuracy of 68.76% (κ = 0.63), was the best performer of the advanced algorithms. The advanced methods greatly underperformed in this study. The proposed SIRs show a promise in the mapping of minor features such as crevasses and in the discrimination between ice-mixed debris and debris. We have efficiently mapped surface glacier facies independently of short-wave infrared bands (SWIR). There is a scope for the transferability of the proposed SIRs and their performance in varying scenarios.

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“…Therefore, glacier facies are described as zones of snow identified on a glacier having a particular set of factors unique to that zone [3]. A recent study [4] analyzed the effects of glacier facies changes on the dimensional variations of glaciers, including recession, deglaciation, as well as the impact of climatic variables on glacial parameters. Thus, the changes in glacier facies can be considered as the direct visual implication of the changes that the glacier as a whole is experiencing.…”

Section: Introductionmentioning

confidence: 99%

Exploration of Glacier Surface FaciesMapping Techniques Using Very High Resolution Worldview-2 Satellite Data

Jawak

Wankhede

Luis

2018

The 2nd International Electronic Conference on Remote Sensing

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Glaciers exhibit a wide range of surface facies that can be analyzed as proxies for mass balance studies. Along with hydrological implications, these are in turn quintessential indicators of climate change. Moderate-to-high-resolution (MHR) data for mapping glacier facies have been used previously; however, the use of very high-resolution (VHR) data for this purpose has not yet been fully exploited. This study uses WorldView-2 (WV-2) VHR data to classify available glacier surface facies on the Samudra Tapu glacier, located in the Himalayas. Traditional methods of facies classification using conventional multispectral data involve band rationing and/or supervised classification. This study explores glacier surface facies classification by using the unique bands available in the multispectral range of WV-2 to develop customized spectral index ratios (SIRs) within an object-oriented domain. The results of this object-oriented classification (OOC) are then compared with five popular supervised classification algorithms using error matrices to determine the classification accuracies. The overall accuracy achieved by the object-based image analysis (OBIA) approach is 97.14% (κ = 0.96), and the highest overall accuracy among the pixel-based classification methods is 74.28% (κ = 0.70). The present results show that the object-based approach is far more accurate than the pixel-based classification techniques. Further studies should test the robustness of the object-oriented domain for the classification of glacier surface facies using customized sensor-specific as well as transferable indices, and the resultant accuracies.

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Assessing linkages between spatial facies changes and dimensional variations of glaciers in the upper Indus Basin, western Himalaya

Cited by 51 publications

References 64 publications

Decadal Change in Supraglacial Debris Cover in Baspa Basin, Western Himalaya

Decadal Change in Supraglacial Debris Cover in Baspa Basin, Western Himalaya

Explorative Study on Mapping Surface Facies of Selected Glaciers from Chandra Basin, Himalaya Using WorldView-2 Data

Exploration of Glacier Surface FaciesMapping Techniques Using Very High Resolution Worldview-2 Satellite Data

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