Flow field of Kronebreen, Svalbard, using repeated Landsat 7 and ASTER data

Kääb, Andreas; Lefauconnier, Bernard; Melvold, Kjetil

doi:10.3189/172756405781812916

Cited by 65 publications

(75 citation statements)

References 22 publications

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“…The Kronebreen/Holtedahlfonna system is ∼50 km long, ranges in elevation from 0 to 1400 m above sea level (asl), and encompasses an area of ∼390 km 2 [Nuth et al, 2012]. One of the fastest glaciers on Svalbard, Kronebreen moves between 300 and 1000 m yr −1 near the calving front [Kääb et al, 2005]. Although calving dominates mass loss from the Kronebreen/Holtedahlfonna system, and the calving flux increased between two recent measurement intervals (1966 to 1995 and 1995 to 2007), surface mass balance loss has increased over time in relative importance [Nuth et al, 2012].…”

Section: Field Sitementioning

confidence: 99%

Dynamic perennial firn aquifer on an Arctic glacier

Christianson

Kohler

Alley

et al. 2015

Geophysical Research Letters

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Ice‐penetrating radar and GPS observations reveal a perennial firn aquifer (PFA) on a Svalbard ice field, similar to those recently discovered in southeastern Greenland. A bright, widespread radar reflector separates relatively dry and water‐saturated firn. This surface, the phreatic firn water table, is deeper beneath local surface elevation maxima, shallower in surface lows, and steeper where the surface is steep. The reflector crosscuts snow stratigraphy; we use the apparent deflection of accumulation layers due to the higher dielectric permittivity below the water table to infer that the firn pore space becomes progressively more saturated as depth increases. Our observations indicate that PFAs respond rapidly (subannually) to surface forcing, and are capable of providing significant input to the englacial hydrology system.

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Section: Field Sitementioning

confidence: 99%

Dynamic perennial firn aquifer on an Arctic glacier

Christianson

Kohler

Alley

et al. 2015

Geophysical Research Letters

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“…Landsat ETM+, ASTER) (Figs. 16 and 17) (Kääb, 2002(Kääb, , 2005Dowdeswell and Benham, 2003;Skvarca et al, 2003;Kääb et al, 2004b;Berthier et al, 2005).…”

Section: Surface Displacementsmentioning

confidence: 99%

“…6 and 7). Potential DTM errors can then be detected from analysing the vertical deviations between the different DTMs, and erroneous zones can be filled by interpolation or using data from the coarser DTM levels (Zollinger, 2003;Kääb, 2004Kääb, , 2005Kääb et al, 2004b;Weidmann, 2004). In addition, filters can be constructed to eliminate errors formed as sharp spikes and holes in DTMs.…”

Section: Satellite Stereomentioning

confidence: 99%

“…optical stereo), the co-registration of the DTMs (and other products) can be assured by orienting the original data as one common, multitemporal data set. For instance, repeat satellite or aerial imagery should be oriented as one (multitemporal) image block with common ground control points (GCPs) and all the images connected by (multitemporal) tie points (TPs) (Kääb and Vollmer, 2000;Kääb et al, 2004b;Kääb, 2005).…”

Section: Terrain Elevation Changes (Dtm Differences)mentioning

confidence: 99%

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Remote sensing of glacier- and permafrost-related hazards in high mountains: an overview

Kääb

Huggel

Fischer

et al. 2005

Nat. Hazards Earth Syst. Sci.

250

149

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Abstract. Process interactions and chain reactions, the present shift of cryospheric hazard zones due to atmospheric warming, and the potential far reach of glacier disasters make it necessary to apply modern remote sensing techniques for the assessment of glacier and permafrost hazards in highmountains. Typically, related hazard source areas are situated in remote regions, often difficult to access for physical and/or political reasons. In this contribution we provide an overview of air-and spaceborne remote sensing methods suitable for glacier and permafrost hazard assessment and disaster management. A number of image classification and change detection techniques support high-mountain hazard studies. Digital terrain models (DTMs), derived from optical stereo data, synthetic aperture radar or laserscanning, represent one of the most important data sets for investigating high-mountain processes. Fusion of satellite stereo-derived DTMs with the DTM from the Shuttle Radar Topography Mission (SRTM) is a promising way to combine the advantages of both technologies. Large changes in terrain volume such as from avalanche deposits can indeed be measured even by repeat satellite DTMs. Multitemporal data can be used to derive surface displacements on glaciers, permafrost and landslides. Combining DTMs, results from spectral image classification, and multitemporal data from change detection and displacement measurements significantly improves the detection of hazard potentials. Modelling of hazardous processes based on geographic information systems (GIS) complements the remote sensing analyses towards an integrated assessment of glacier and permafrost hazards in mountains. Major present limitations in the application of remote sensing to glacier and permafrost hazards in mountains are, on the one hand, of technical nature (e.g. combination and fusion of different methods and data; improved unCorrespondence to: A. Kääb (kaeaeb@geo.unizh.ch) derstanding of microwave backscatter). On the other hand, better dissemination of remote sensing expertise towards institutions involved in high-mountain hazard assessment and management is needed in order to exploit the large potential of remote sensing in this field.

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“…1). Kronebreen is one of the fastest tidewater glaciers in Svalbard with an average front velocity ranging between 1 and 3.5 m per day during the summer months (Kääb et al, 2005;Rolstad and Norland, 2009) and with a terminal ice cliff having an elevation ranging from 5 to 60 m above the fjord surface at the end of August 2008 (Chapuis et al, 2010). We installed a geophone in the vicinity of the calving front from spring to autumn in 2009 and 2010 and collected ground-truth data of iceberg calving for 16 days by visual observations with an overlap of datasets of 11 days.…”

Section: Introductionmentioning

confidence: 99%

Autonomous detection of calving-related seismicity at Kronebreen, Svalbard

et al. 2012

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Abstract. We detect and cluster waveforms of seismic signals recorded close to the calving front of Kronebreen, Svalbard, to identify glacier-related seismic events and to investigate their relation to calving processes. Single-channel geophone data recorded over several months in 2009 and 2010 are combined with eleven days of direct visual observations of the glacier front. We apply a processing scheme which combines conventional seismic event detection using a sensitive trigger algorithm and unsupervised clustering of all detected signals based on their waveform characteristics by means of Self-Organizing Maps (SOMs). About 10 % of the directly observed calving events close to the geophone (<1 km) can be correlated with seismic detections. We are able to distinguish between false detections, instrumental artifacts, and three classes of signals which are, with different degrees of uncertainty, emitted by calving or glacier activity in general. By extrapolating the interpretation of seismic event classes beyond the time period of visual observations, the temporal distribution of glacier-related events shows an increase in event rate in autumn, particularly for the class which is related to iceberg calving. Using the seismic event distribution in this class as a proxy for the calving rate and measurements of glacier velocity and glacier front position, we discuss the possible relationship between glacier dynamics and calving processes at Kronebreen.

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Flow field of Kronebreen, Svalbard, using repeated Landsat 7 and ASTER data

Cited by 65 publications

References 22 publications

Dynamic perennial firn aquifer on an Arctic glacier

Dynamic perennial firn aquifer on an Arctic glacier

Remote sensing of glacier- and permafrost-related hazards in high mountains: an overview

Autonomous detection of calving-related seismicity at Kronebreen, Svalbard

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