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  • 1
    Type of Medium: Online Resource
    Pages: Online-Ressource (65 S.) , Ill., graph. Darst., Kt.
    Series Statement: Berichte zur Polar- und Meeresforschung 655
    Language: English
    Note: Literaturangaben
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-01-13
    Keywords: Angle; AWI Arctic Land Expedition; CHRIS; CHRIS_WN_060710; CHRIS-on-PROBA; DATE/TIME; LATITUDE; LONGITUDE; Remote Sensing of POlar Non-glaciated and Sensitive Environments; RESPONSE; Sample code/label; Uniform resource locator/link to file; Uniform resource locator/link to metadata file; Western Lena Delta, Siberia
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-01-13
    Keywords: Angle; AWI Arctic Land Expedition; CHRIS; CHRIS_WN_050715; CHRIS-on-PROBA; DATE/TIME; LATITUDE; LONGITUDE; Remote Sensing of POlar Non-glaciated and Sensitive Environments; RESPONSE; Sample code/label; Uniform resource locator/link to file; Uniform resource locator/link to metadata file; Western Lena Delta, Siberia
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-01-13
    Description: This dataset provides an inventory of thermo-erosional landforms and streams in three lowland areas underlain by ice-rich permafrost of the Yedoma-type Ice Complex at the Siberian Laptev Sea coast. It consists of two shapefiles per study region: one shapefile for the digitized thermo-erosional landforms and streams, one for the study area extent. Thermo-erosional landforms were manually digitized from topographic maps and satellite data as line features and subsequently analyzed in a Geographic Information System (GIS) using ArcGIS 10.0. The mapping included in particular thermo-erosional gullies and valleys as well as streams and rivers, since development of all of these features potentially involved thermo-erosional processes. For the Cape Mamontov Klyk site, data from Grosse et al. [2006], which had been digitized from 1:100000 topographic map sheets, were clipped to the Ice Complex extent of Cape Mamontov Klyk, which excludes the hill range in the southwest with outcropping bedrock and rocky slope debris, coastal barrens, and a large sandy floodplain area in the southeast. The mapped features (streams, intermittent streams) were then visually compared with panchromatic Landsat-7 ETM+ satellite data (4 August 2000, 15 m spatial resolution) and panchromatic Hexagon data (14 July 1975, 10 m spatial resolution). Smaller valleys and gullies not captured in the maps were subsequently digitized from the satellite data. The criterion for the mapping of linear features as thermo-erosional valleys and gullies was their clear incision into the surface with visible slopes. Thermo-erosional features of the Lena Delta site were mapped on the basis of a Landsat-7 ETM+ image mosaic (2000 and 2001, 30 m ground resolution) [Schneider et al., 2009] and a Hexagon satellite image mosaic (1975, 10 m ground resolution) [G. Grosse, unpublished data] of the Lena River Delta within the extent of the Lena Delta Ice Complex [Morgenstern et al., 2011]. For the Buor Khaya Peninsula, data from Arcos [2012], which had been digitized based on RapidEye satellite data (8 August 2010, 6.5 m ground resolution), were completed for smaller thermo-erosional features using the same RapidEye scene as a mapping basis. The spatial resolution, acquisition date, time of the day, and viewing geometry of the satellite data used may have influenced the identification of thermo-erosional landforms in the images. For Cape Mamontov Klyk and the Lena Delta, thermo-erosional features were digitized using both Hexagon and Landsat data; Hexagon provided higher resolution and Landsat provided the modern extent of features. Allowance of up to decameters was made for the lateral expansion of features between Hexagon and Landsat acquisitions (between 1975 and 2000).
    Keywords: BuorKhayaPensinsula; Event label; File content; File size; Latitude of event; LEN; Lena Delta, Siberia, Russia; LenaDeltaRegion; Longitude of event; MamontovKlykRegion; MULT; Multiple investigations; Reference/source; Siberia, Russia; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-01-13
    Description: This data set provides a high-resolution digital elevation model (DEM) of a thermokarst depression (~7 km²) on ice-complex deposits in the Arctic Lena Delta, Siberia. The DEM based on a geodetic field survey and was used for quantitative land surface analyses and detailed description of the thermokarst depression morphology. Detailed morphometrical analyses, volume calculations, and solar radiation modeling were performed and statistically analyzed by Ulrich et al. (2010) to investigate the asymmetrical thermokarst depression development and directed lake migration previously proposed by Morgenstern et al. (2008). Furthermore, the high-resolution DEM in combination with satellite data allowed detailed analyses of spatial and temporal landscape changes due to thermokarst development (Günther, 2009).
    Keywords: AWI Arctic Land Expedition; Comment; File size; Kurungnakh_Alas; Kurungnakh Island, Lena Delta, Siberia; Remote Sensing of POlar Non-glaciated and Sensitive Environments; RESPONSE; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: Angle; AWI Arctic Land Expedition; CHRIS; CHRIS_WN_050629; CHRIS-on-PROBA; DATE/TIME; LATITUDE; LONGITUDE; Remote Sensing of POlar Non-glaciated and Sensitive Environments; RESPONSE; Sample code/label; Uniform resource locator/link to file; Uniform resource locator/link to metadata file; Western Lena Delta, Siberia
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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  • 7
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    In:  Supplement to: Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Arp, Chistopher D; Ulrich, Mathias; Fedorov, Alexander N; Veremeeva, Alexandra (2017): Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions. Remote Sensing, 9(7), 640, https://doi.org/10.3390/rs9070640
    Publication Date: 2023-06-30
    Description: Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here we present, a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of lake area change on the Alaska North Slope (-0.69%), Western Alaska (-2.82%), and Kolyma Lowland (-0.51%) largely include increases due to thermokarst lake expansion, but more dominant lake area losses due to catastrophic lake drainage events. In contrast, Central Yakutia showed a remarkable increase in lake area of 48.48%, likely resulting from warmer and wetter climate conditions over the latter half of the study period. Within all study regions, variability in lake dynamics was associated with differences in permafrost characteristics, landscape position (i.e. upland vs. lowland), and surface geology. With the global availability of Landsat data and a consistent methodology for processing the input data derived from robust trends of multi-spectral indices, we demonstrate a transferability, scalability and consistency of lake change analysis within the northern permafrost region.
    Keywords: AKS_lakes; Alaska North Slope; AWI_PerDyn; Central Yakutia; CYA_lakes; Elevation of event; Event label; File size; Kobuk-Selawik-Lowlands; KOL_lakes; Kolyma Lowland; Latitude of event; Longitude of event; NSL_lakes; Permafrost Research (Periglacial Dynamics) @ AWI; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2023-06-27
    Description: The dataset presents the radiocarbon ages (with standard deviation ±) from thermokarst lake sediment cores from the Yukechi Alas, Siberia. The sediment cores were taken from an alas lake (YUK15-YU-L7) and a yedoma lake (YUK15-YU-L15). Raw, calibrated and rounded calibrated ages are presented. Measurements were carried out in the AWI MICADAS Laboratory in Bremerhaven. Calibrations were performed according to Stuiver et al. (2017) using CALIB 7.1 software and the IntCal13 calibration curve.
    Keywords: AGE; Age, 14C AMS, Mini Carbon Dating System (MICADAS); Age, 14C calibrated, CALIB 7.1 (Stuiver et al. 2017) and IntCal13 calibration curve; Age, dated; Age, dated material; Age, dated standard deviation; Age, standard deviation; Alas lake; Arctic; AWI_PerDyn; AWI Arctic Land Expedition; Central_Yakutia_Yukechi_2015; Cruise/expedition; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Lake type; LATITUDE; LONGITUDE; Permafrost Research (Periglacial Dynamics) @ AWI; radiocarbon ages; RCDT; RU-Land_2015_CentralYakutia_Yuke; Sample ID; Sediment type; thermokarst lake; Truck mounted rotary drill; Yakutia; Yedoma lake; YUK15-YU-L15; YUK15-YU-L7
    Type: Dataset
    Format: text/tab-separated-values, 143 data points
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  • 9
    Publication Date: 2023-08-22
    Description: Detailed calculations of ground-ice volumes in permafrost deposits are necessary to understand and quantify the response of permafrost landscapes to thermal disturbance and thawing. Ice wedges with their polygonal surface expression are a widespread ground-ice component of permafrost lowlands. Therefore, the wedge-ice volume (WIV) is one of the major factors to be considered, both for assessing permafrost vulnerability and for quantifying deep permafrost soil carbon inventories. Here, a straightforward tool for calculating the WIV is presented. This GIS and satellite image-based method provides an interesting approach for various research disciplines where WIV is an important input parameter, including landscape and ecosystem modeling of permafrost thaw or organic carbon assessments in deep permafrost deposits. By using basic data on subsurface ice-wedge geometry, our tool can be applied to other permafrost region where polygonal-patterned ground occurs. One is able to include individual polygon geomorphometry at a specific site and the shape and size of epigenetic and/or syngenetic ice wedges in three dimensions. Exemplarily, the WIV in late Pleistocene Yedoma deposits and Holocene thermokarst deposits is calculated at four case study areas in Siberia and Alaska. Therefore, we mapped ice-wedge polygons and thermokarst mounds (baydzherakhs) patters on different landscape units by using very-high-resolution satellite data. Thiessen polygons were automatically created in a geographic information system (GIS) environment to reconstruct relict ice-wedge polygonal networks from baydzherakh center-point patterns. This information was combined with literature or own field data of individual ice-wedge sizes, to generate three-dimensional subsurface models that distinguish between epi- and syngenetic ice-wedge geometry. We demonstrate that the WIV can vary considerably, not only between different permafrost regions, but also within a certain study site. Detailed information about methods and results can be found in the publication to which this dataset is a supplement (https://doi.org/10.1002/ppp.1810).
    Keywords: Alaska, USA; AWI_Perma; BuorKhaya_area; Ebe-Basyn-Sise_area; Event label; File content; File format; File name; File size; ground ice; ice wedge; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; MamontovKlyk_area; North Yakutia, Russia; Permafrost; Permafrost Research; POLYGON; Polygonal Networks; Polygons in tundra wetlands: state and dynamics under climate variability in Polar Regions; Russia; SAT; Satellite remote sensing; SewardPeninsula_area; Siberia, Russia; thermokarst; Uniform resource locator/link to file; Yedoma
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2023-11-06
    Description: These five cores were obtained from a terrestrial permafrost area in northeastern Siberia (U1: March 2019; B3, B2, B1, U3: July 2019) during the Chersky 2019 field campaign. This campaign was part of both the CACOON and the PeCHEc project and was based at the Northeast Science Station in Chersky, Sakha, Russia (RU-LAND-2019/CHERSKIY; 02.07.2019 - 19.07.2019). They were taken from the area of the Pleistocene Park experiment (Zimov, 2005; doi:10.1126/science.1113442) and cover areas of a drained thermokarst lake basin (B) as well as the adjacent Yedoma uplands (U). The cores were drilled in areas of different large herbivore impact intensities (3= intensive; 2= extensive; 1= no animal presence). The data are used in a study exermining the impact of large herbivore presence on permafrost stability, vegetation composition and ground carbon storage. The active layer was sampled excavating profiles with a spade using fixed volume cylinders on the profile wall (250 ccm). The frozen ground was sampled using a SIPRE permafrost auger with a Stihl motor. All samples taken from these cores were analyzed between January 2020 and March 2021 at the facilities of AWI. The samples were analyzed for water/ice content, water isotopes, pH, conductivity, DOC, TC, TN, TOC, δ13C, mass specific magnetic susceptibility, grain size composition and radiocarbon age. Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer. TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer. Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0. Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: biogeochemistry; CACOON; Carbon; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; herbivory; PeCHEc; sediment; Siberian permafrost; terrestrial carbon
    Type: Dataset
    Format: application/zip, 4 datasets
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