Geodatabase and WebGIS Project for Long-Term Permafrost Monitoring at the Vaskiny Dachi Research Station, Yamal, Russia

Dvornikov, Yury; Leibmann, Marinna; Heim, Birgit; Bartsch, Annett; Haas, Antonie; Khomutov, Artem; Gubarkov, Anatoly; Mikhaylova, M. N.; Mullanurov, Damir; Widhalm, Barbara; Skorospekhova, Tatyana; Fedorova, Irina

doi:10.2312/polfor.2016.007

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Wetness patterns are known to drive the occurrence of certain vegetation communities in tundra environment (e.g. Silvertown et al, 2014;Dvornikov et al, 2016;Ackerman et al, 2017). A commonly used multispectral index is the Tasseled Cap Wetness Index.…”

Section: Introductionmentioning

confidence: 99%

Circumarctic land cover diversity considering wetness gradients

Bartsch,

Efimova,

Widhalm

et al. 2024

Hydrol. Earth Syst. Sci.

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Abstract. Land cover heterogeneity information considering soil wetness across the entire Arctic tundra is of interest for a wide range of applications targeting climate change impacts and ecological research questions. Patterns are potentially linked to permafrost degradation and affect carbon fluxes. First, a land cover unit retrieval scheme which provides unprecedented detail by fusion of satellite data using Sentinel-1 (synthetic aperture radar) and Sentinel-2 (multispectral) was adapted. Patterns of lakes, wetlands, general soil moisture conditions and vegetation physiognomy are interpreted at 10 m nominal resolution. Units with similar patterns were identified with a k-means approach and documented through statistics derived from comprehensive in situ records for soils and vegetation (more than 3500 samples). The result goes beyond the capability of existing land cover maps which have deficiencies in spatial resolution, thematic content and accuracy, although landscape heterogeneity related to moisture gradients cannot be fully resolved at 10 m. Wetness gradients were assessed, and measures for landscape heterogeneity were derived north of the treeline. About 40 % of the area north of the treeline falls into three units of dry types with limited shrub growth. Wetter regions have higher land cover diversity than drier regions. An area of 66 % of the analysed Arctic landscape is highly heterogeneous with respect to wetness at a 1 km scale (representative scale of frequently used regional land cover and permafrost modelling products). Wetland areas cover 9 % and moist tundra types 32 %, which is of relevance for methane flux upscaling.

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Section: Introductionmentioning

confidence: 99%

Circumarctic land cover diversity considering wetness gradients

Bartsch,

Efimova,

Widhalm

et al. 2024

Hydrol. Earth Syst. Sci.

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Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016

et al. 2019

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Ground subsidence monitoring by Synthetic Aperture Radar interferometry (InSAR) over Arctic permafrost areas is largely limited by long revisit intervals, which can lead to signal decorrelation. Recent satellite missions such as COSMO-Skymed (X-band) and Sentinel-1 (C-band) have comparably short time intervals of a few days. We analyze dense records of COSMO-Skymed from 2013 and 2016 and of Sentinel-1 from 2016, 2017, and 2018 for the unfrozen period over central Yamal (Russia). These years were distinct in environmental conditions and 2016 in particular was unusually warm. We evaluate the InSAR-derived displacement with in situ subsidence records, active-layer thickness measurements, borehole temperature records, meteorological data, C-band scatterometer records, and a land-cover classification based on Sentinel-1 and -2 data. Our results indicate that a comparison of seasonal thaw evolution between years is feasible after accounting for the early thaw data gap in InSAR time series (as a result of snow cover) through an assessment with respect to degree-days of thawing. Average rates of subsidence agree between in situ and Sentinel-1 (corrected for viewing geometry), with 3.9 mm and 4.3 mm per 100 degree-days of thaw at the test site. X-band and C-band records agree well with each other, including seasonal evolution of subsidence. The average displacement is more than twice in magnitude at the active-layer monitoring test site in 2016 compared to the other years. We further demonstrate that InSAR displacement can not only provide information on the magnitude of ground thaw but also on soil properties through analyses of seasonal evolution in extreme years.

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Circumarctic landcover diversity considering wetness gradients

Bartsch,

Efimova,

Widhalm

et al. 2023

Preprint

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Abstract. Landcover heterogeneity information considering soil wetness across the entire Arctic tundra is of interest for a wide range of applications targeting climate change impacts and ecological research questions. Patterns potentially link to permafrost degradation and affect carbon fluxes. First a landcover unit retrieval scheme which provides unprecedented detail by fusion of satellite data using Sentinel-1 (synthetic aperture radar) and Sentinel-2 (multispectral) has been adapted. Patterns of lakes, wetlands, general soil moisture conditions and vegetation physiognomy are represented at 10 m nominal resolution. Units with similar patterns are identified with a k-means approach and documented through statistics derived from comprehensive in situ records for soils and vegetation (more than 3500 samples). The result goes beyond the capability of existing landcover maps which have deficiencies in spatial resolution, thematic content and accuracy. Wetness gradients have been eventually assessed and measures for landscape heterogeneity were derived north of the treeline. About 40 % of the area north of the treeline falls into three units of dry types with limited shrub growth. Wetter regions have higher landcover diversity than drier regions. 45 % of the Arctic landscape is highly heterogeneous with respect to wetness considering 1kmx1km units (representative scale of frequently used regional landcover and permafrost modelling products). Wetland areas cover on average 9 % and moist tundra types 32 %, what is potentially of relevance for methane flux upscaling.

show abstract

Geodatabase and WebGIS Project for Long-Term Permafrost Monitoring at the Vaskiny Dachi Research Station, Yamal, Russia

Cited by 3 publications

References 6 publications

Circumarctic land cover diversity considering wetness gradients

Circumarctic land cover diversity considering wetness gradients

Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016

Circumarctic landcover diversity considering wetness gradients

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