2016
DOI: 10.3189/2016aog71a046
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A hierarchical knowledge-based classification for glacier terrain mapping: a case study from Kolahoi Glacier, Kashmir Himalaya

Abstract: ABSTRACT. A glacierized terrain comprises different land covers, and their mapping using satellite data is challenged by their spectral similarity. We propose a hierarchical knowledge-based classification (HKBC) approach for differentiation of glacier terrain classes and mapping of glacier boundaries, using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery and Global Digital Elevation Model (GDEM). The methodology was tested over Kolahoi Glacier, Kashmir Himalaya. For the sequentia… Show more

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Cited by 50 publications
(33 citation statements)
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“…Kolahoi Glacier spread over 10.5 km 2 is considered to be a single glacier [47,[67][68][69]; however, a recent study [51] suggested that the glacier has two parts draining into two watersheds, Lidder and Sindh, of the larger Jhelum basin. The Randolph Glacier Inventory (https://www.glims.org/RGI/), on the other hand, indicates that the glacier has five parts.…”
Section: Discussionmentioning
confidence: 99%
“…Kolahoi Glacier spread over 10.5 km 2 is considered to be a single glacier [47,[67][68][69]; however, a recent study [51] suggested that the glacier has two parts draining into two watersheds, Lidder and Sindh, of the larger Jhelum basin. The Randolph Glacier Inventory (https://www.glims.org/RGI/), on the other hand, indicates that the glacier has five parts.…”
Section: Discussionmentioning
confidence: 99%
“…Bhardwaj et al (2015) demonstrated Landsat 8 Operational Land Imager sensor-based method for automated mapping of glacier facies and supraglacial debris. Shukla and Ali (2016) developed a hierarchical knowledge-based classification algorithm for glacier mapping with particular emphasis on supraglacial debris (SGD), periglacial debris (PGD) and valley rock due to their spectral similarity. Some research works related to pixel-based method with salient characteristics are compiled in Table 1.…”
Section: Delineation Of Glaciers Using Pixel-based Methodsmentioning
confidence: 99%
“…During the glacier mapping, several factors affect its accuracy i.e. DEM, shadow on glacier, supraglacial debris (SGD), periglacial debris (PGD (Shukla and Ali, 2016). Several studies suggest their limitation to delineate small glacier due to the low resolution of DEM.…”
Section: Parameters Affecting Delineation Of Debris Covered Glaciermentioning
confidence: 99%
“…The debris cover also restricts the applicability of remote sensing methods to map glacier terminus using satellite images . However, there are several studies which have successfully mapped glacial features in glacierized catchments with debris cover . Freely available remotely sensed data have recently been used to develop algorithms for mapping features, , and dynamics of debris‐covered glaciers.…”
Section: Introductionmentioning
confidence: 99%