Short-term glacier velocity changes at West Kunlun Shan, Northwest Tibet, detected by Synthetic Aperture Radar data

Yasuda, Takatoshi; Furuya, Masato

doi:10.1016/j.rse.2012.09.021

Cited by 66 publications

(84 citation statements)

References 45 publications

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“…Speckle/feature tracking and repeat-pass differential SAR interferometry (D-InSAR) are two well-established methods for estimating glacier velocity [39,40]. Here, we applied the D-InSAR method to estimate the ice flow velocities of glaciers on the ice field using the DIFF module in the GAMMA software (http://www.gamma-rs.ch/).…”

Section: Ice Flow Velocity Determinationmentioning

confidence: 99%

“…During the active phase, the glacier experiences a rapid transfer of mass from the upper "reservoir" area to the lower "receiving" area, and high ice flow rates that increase by a factor of 10 to 100, whereas ice flow rates decline substantially and the reservoir area builds up again during the quiescent phase [47]. According to the changes in glacier terminus location and surface velocity, some surge-type glaciers have been identified in the Karakoram [48,49], Pamir plateau [50], and Kunlun Shan [40,51]. Here, elevation changes probably induced by a surging event were clearly detected over the glacier [14].…”

Section: Surge-type Glaciermentioning

confidence: 99%

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Morphometric Controls on Glacier Mass Balance of the Puruogangri Ice Field, Central Tibetan Plateau

Jiang

Sun

et al. 2016

Water

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Evaluating the impacts of climatic changes and morphometric features on glacier mass balance is crucial to providing insight into glacier changes and their effects on regional water resources and ecosystems. Here, we presented an evaluation of morphometric effects on the glacier mass balances of the Puruogangri ice field (PIF) on the Tibetan Plateau. A clear spatial variability of glacier mass balances, ranging from −0.035 to +0.019 m·w.e.·year −1 , was estimated by comparing the TanDEM-X DEM (2012) with the SRTM-X DEM (2000). In general, the observed glacier mass changes were consistent with our fieldwork investigations. Furthermore, by applying the method of linear regression analysis, we found that the mass changes of individual glaciers on the PIF were mainly dominated by the mean altitude (R = 0.84, p < 0.001), however, they were statistically independent of glacier size, aspect, and surface velocity. At a local scale (grid size of 10 × 10 pixels), apart from the factor of altitude, surface velocity was correlated with glacier mass change.

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Section: Ice Flow Velocity Determinationmentioning

confidence: 99%

Section: Surge-type Glaciermentioning

confidence: 99%

Morphometric Controls on Glacier Mass Balance of the Puruogangri Ice Field, Central Tibetan Plateau

Jiang

Sun

et al. 2016

Water

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“…Glacier dynamics in the Central Karakoram have a significant influence on the hydrological cycle, especially hydrological planning and water resource management. As one of the crucial factors in mass balance and glacier dynamics [14], the glacier surface velocity provides an indicator of glacier recession or advance/surge [15][16][17] and has been used to interpret glacier dynamics [18]. Therefore, the spatial-temporal characteristics of the glacier velocity in this region are essential to improve our understanding of glacier dynamics and the glacier responses to climate change and influences on regional water sources.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Characteristics of Glacier Velocity in the Central Karakoram Revealed with 1999–2003 Landsat-7 ETM+ Pan Images

et al. 2017

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Abstract:The situation of stable and slightly advancing glaciers in the Karakoram is called the "Karakoram anomaly". Glacier surface velocity is one of the key parameters of glacier dynamics and mass balance, however, the response of glacier motion to this regional anomaly is not fully understood. Here, we characterize the spatial-temporal variations in glacier velocity over the Central Karakoram from 1999-2003. The inter-annual glacier velocity fields were retrieved using a cross-correlation-based algorithm applied to four Landsat-7 Enhanced Thematic Mapper Plus (ETM+) panchromatic image pairs. We find that most of the glaciers on the southern slope flowed faster than those on the northern slope, which might be attributed to the differences in glacier sizes. Furthermore, ice motion observations over four years reveal that most of the glaciers were quasi-stable or experienced small fluctuations of flow velocity during our study period. We identify a new surging event for the South Skamri Glacier in the study period by investigating the glacier frontal changes and the longer-term time series of surface velocities between 1996 and 2006. From the transverse velocity profiles of seven typical glaciers, we infer that basal sliding is the predominant motion mechanism of the middle and upper glaciers, whereas internal deformation dominates closest to the glacier terminus.

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“…Remote sensing techniques are indispensable for observing such inaccessible areas. In particular, recent developments in satellite-based SAR provide us with a wealth of data such as surface velocities, terminus positions, and grounding lines at worldwide mountain glaciers and ice sheets, regardless of weather and time (e.g., Joughin et al, 2010;Rignot et al, 2011;Yasuda and Furuya, 2013). However, the glaciers at the eastern slope of Mt.…”

Section: Introductionmentioning

confidence: 99%

Experimental Observations of Two Mountain Glaciers on the Eastern Slope of Mt. Tsurugi by Pi-SAR2 Airborne SAR

Furuya

Fukui

Iida

et al. 2017

Bulletin of Glacier Research

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We performed airborne synthetic aperture radar (SAR) observations at two glaciers (San'nomado and Komado glaciers) on the eastern slope of Mt. Tsurugi, Japan, in August and October 2013, and August 2014. The Pi-SAR2 system used in this study consists of two X-band SAR antennas. Taking advantage of singlepass interferometry, we have generated digital elevation models (DEM) at each epoch. Differencing the DEMs at August and October 2013, the elevations at the glaciers were reduced by ~20 m or more with errors on the order of ~20 m or more. As we could visually identify the reduction in the snow-covered areas in the SAR images of August and October 2013, those changes are attributable to seasonal melting of the snow but are apparently overestimated. Full polarimetric observations were also performed, indicating significant changes over the glaciers from August to October that were largely due to the reduction in snow cover. We could further identify localized spots that indicated strong intensity in the cross-polarized HV channel (transmission of vertically polarized wave and reception in horizontally polarized channel) over the glaciers. Bright HV signals are unexpected, because HV signals are often interpreted as volume scattering and appear to originate from the inside of the glaciers that are unlikely in the X-band SAR system; no penetration deeper than 1 m is expected in the X-band over the snow/ice areas. We interpret the apparent HV signals as due to double bouncing from both sides of the valley, which were apparently imaged over the glaciers.

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Short-term glacier velocity changes at West Kunlun Shan, Northwest Tibet, detected by Synthetic Aperture Radar data

Abstract: Seasonal glacier velocity changes across the High Arctic, including the Green-

Cited by 66 publications

References 45 publications

Morphometric Controls on Glacier Mass Balance of the Puruogangri Ice Field, Central Tibetan Plateau

Morphometric Controls on Glacier Mass Balance of the Puruogangri Ice Field, Central Tibetan Plateau

Spatial-Temporal Characteristics of Glacier Velocity in the Central Karakoram Revealed with 1999–2003 Landsat-7 ETM+ Pan Images

Experimental Observations of Two Mountain Glaciers on the Eastern Slope of Mt. Tsurugi by Pi-SAR2 Airborne SAR

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