Terrain parameters and remote sensing data in the analysis of permafrost distribution and periglacial processes: principles and examples from southern Norway

Etzelmüller, Bernd; Ødegârd, Rune Strand; Berthling, Ivar; Sollid, Johan Ludvig

doi:10.1002/ppp.384

Cited by 77 publications

(65 citation statements)

References 49 publications

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“…Boike & Yoshikawa, 2003;Etzelmüller et al, 2001;Frohn et al, 2005;Grosse et al, 2005;Peddle & Franklin, 1993;Zhang et al, 2004) and land-cover mapping and change detection (e.g. Olthof & Fraser, 2007;Rees et al, 2003;Stow et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Spectral characterization of periglacial surfaces and geomorphological units in the Arctic Lena Delta using field spectrometry and remote sensing

Ulrich

Grosse

Chabrillat

et al. 2009

Remote Sensing of Environment

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Important environmental parameters in arctic periglacial landscapes (i.e. permafrost temperature, activelayer depth, soil moisture, precipitation, vegetation cover) will very likely change in a warming climate. The thawing of permafrost, especially, might cause massive landscape changes due to thermokarst and an enhanced release of greenhouse gasses from the large amounts of carbon stored in frozen deposits, resulting in positive climate-warming feedback. For the identification, mapping, and quantification of such changes on various scales up to the entire circum-Arctic, remote sensing and spatial data analysis are essential tools. In this study an extensive field-work dataset including spectral surface properties, vegetation, soils, and geomorphology was acquired in the largest Arctic delta formed by a single river, the Siberian Lena River Delta. A portable field spectrometer (ASD FieldSpec Pro FR®) was used for spectral surveys of terrain surfaces, and optical satellite data (Landsat Enhanced Thematic Mapper (ETM+), CHRIS-Proba) were used for the characterization, manual mapping, and automatic classification of typical periglacial land-cover units in the Lena Delta. Qualitative data from soils, vegetation, soil moisture, and relief units were correlated with the field-spectral data and catalogued for a wide variety of surface types. The wide range of micro-and mesoscale variations of periglacial surface features in the delta results in distinctive spectral characteristics for different land-cover units. The three main delta terraces could also be spectrally separated and characterized. The present dataset provides a basis for further spectral data acquisitions in the Lena Delta and for comparisons with periglacial surfaces from other regions.

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Section: Introductionmentioning

confidence: 99%

Spectral characterization of periglacial surfaces and geomorphological units in the Arctic Lena Delta using field spectrometry and remote sensing

Ulrich

Grosse

Chabrillat

et al. 2009

Remote Sensing of Environment

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“…Rees et al, 2003;Rigina, 2003;Yoshikawa and Hinzman, 2003;Stow et al, 2004) and mapping of general permafrost properties (e.g. Morrissey et al, 1986;Peddle and Franklin, 1993;Leverington and Duguay, 1997;Lewkowicz and Duguay, 1999;Etzelmüller et al, 2001). Investigations of permafrost and periglacial geomorphology in the Arctic hemisphere were usually associated with the use of high-resolution aerial imagery (e.g.…”

Section: Introductionmentioning

confidence: 99%

The use of CORONA images in remote sensing of periglacial geomorphology: an illustration from the NE Siberian coast

Grosse

Schirrmeister

Kunitsky

et al. 2005

Permafrost Periglac. Process.

108

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CORONA images have been used for the mapping of periglacial features on the Bykovsky Peninsula and adjacent Khorogor Valley in northeast Siberia. Features, mapped and analysed within a geographical information system, include thermokarst depressions, thermo-erosional valleys, thermo-erosional cirques, thermokarst lakes, thermokarst lagoons and pingos. More than 50% of the area is strongly influenced by thermally-induced subsidence. Thermokarst in the area is probably less active today than in the early-middle Holocene.

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“…Modelling approaches can be used to develop spatial predictions of the locations of the most suitable sites for given geomorphological features in the unsurveyed parts of landscapes and to improve the targeting of efforts and resources to such sites (Walsh et al, 2003;Luoto and Hjort, 2005). One potential means to complement the insufficient information concerning the distribution of geomorphological processes is provided by predictive geomorphological modelling (Atkinson et al, 1998;Rowbotham and Dudycha, 1998;Etzelmüller et al, 2001;Gurney and Bartsch, 2005;Luoto and Hjort, 2005). The recent development of predictive geomorphological modelling is based on two trends: (1) growth in the availability of remotely sensed (RS) data and in the development of GIS techniques and (2) the development of novel statistical techniques that can be applied to a wide range of geographical systems (Guisan and Zimmermann, 2000;Walsh et al, 2003;Luoto and Hjort, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…Altitude and slope angle are commonly used topographical parameters in geomorphological and periglacial modelling studies (e.g. Etzelmüller et al, 2001), and are key surrogates for many different environmental factors such as air temperature, snow distribution and potential energy of an area. Mean altitude and mean slope angle were calculated directly from the DEM and slope map using the ZONAL function of Arc/Info.…”

Section: Explanatory Variablesmentioning

confidence: 99%

“…Positive values indicate a convex cell, negative values indicate a concave cell and zero values show that the surface is flat or uniform (ESRI, 1991). The wetness index and the proportion of concave topography are commonly used soil moisture indicators in spatial analyses (Moore et al, 1991;Etzelmüller et al, 2001). Different soil types have different properties upon which periglacial processes act (Washburn, 1979).…”

Section: Explanatory Variablesmentioning

confidence: 99%

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Downscaling of coarse‐grained geomorphological data

Luoto

Hjort

2007

Earth Surf Processes Landf

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One of the basic limitations to the use of geomorphological maps is their coarse resolution relative to the needs of pure and applied geomorphological research. In response to this, attempts have been made to 'downscale' geomorphological information to finer spatial resolutions. However, the potential of statistical downscaling in geomorphology has been insufficiently examined. We downscaled four different periglacial features (wind deflation, palsa mire, earth hummock and sorted solifluction sheet) from a 100 ha grid to a 1 ha grid resolution utilizing two different techniques: point sampling (PSA) and direct (DA) approaches. We assessed the predictive accuracy of the models with the area under the curve (AUC) of a receiver operating characteristic plot using independent evaluation data. The PSA technique yielded encouraging results with a mean accuracy of 0·81, whereas the performance of DA was poorer. The predictive performance of the palsa mire and solifluction sheet models was excellent (AUC values from 0·89 to 0·96), whereas the AUC values of deflation and earth hummock models were lower (AUC = = = = = 0·57-0·81). The application of a point sampling approach as used here provides an efficient method to translate geomorphological information to finer resolution. However, further testing of the downscaling approaches is required before they can be applied to real-world situations.

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Terrain parameters and remote sensing data in the analysis of permafrost distribution and periglacial processes: principles and examples from southern Norway

Cited by 77 publications

References 49 publications

Spectral characterization of periglacial surfaces and geomorphological units in the Arctic Lena Delta using field spectrometry and remote sensing

Spectral characterization of periglacial surfaces and geomorphological units in the Arctic Lena Delta using field spectrometry and remote sensing

The use of CORONA images in remote sensing of periglacial geomorphology: an illustration from the NE Siberian coast

Downscaling of coarse‐grained geomorphological data

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