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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    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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  • 2
    Publication Date: 2024-01-27
    Keywords: Age, dated; Age, error; Age, radiocarbon; Alaskan North Slope; AWI_Perma; Carbon, organic, total; Central Laptev Sea; climate feedbacks; Density, bulk, permafrost; DEPTH, sediment/rock; Dmitry Laptev Strait; Event label; Greenhouse gas source; Height above sea level; Ice content, intrasedimentary ice; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; Latitude of event; Lena Delta; Longitude of event; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID17; PETA-CARB_ID18; PETA-CARB_ID19; PETA-CARB_ID22; PETA-CARB_ID4; PETA-CARB_ID6; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample code/label; Seward Peninsula; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1553 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-01-27
    Keywords: Alaska; Alaskan North Slope; Area/locality; AWI_Perma; Beaufort Sea; Central Laptev Sea; climate feedbacks; Coverage; Density, bulk, permafrost; Dmitry Laptev Strait; Event label; Greenhouse gas source; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; LATITUDE; Layer thickness; Lena Delta; LONGITUDE; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID10; PETA-CARB_ID11; PETA-CARB_ID12; PETA-CARB_ID13; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID16; PETA-CARB_ID17; PETA-CARB_ID18; PETA-CARB_ID19; PETA-CARB_ID2; PETA-CARB_ID20; PETA-CARB_ID21; PETA-CARB_ID22; PETA-CARB_ID23; PETA-CARB_ID24; PETA-CARB_ID25; PETA-CARB_ID26; PETA-CARB_ID27; PETA-CARB_ID3; PETA-CARB_ID4; PETA-CARB_ID5; PETA-CARB_ID6; PETA-CARB_ID7; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample amount; Seward Peninsula; Site; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region
    Type: Dataset
    Format: text/tab-separated-values, 193 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-01-27
    Keywords: Age, dated; Age, error; Age, radiocarbon; Alaska; Alaskan North Slope; AWI_Perma; Beaufort Sea; Carbon, organic, total; Central Laptev Sea; climate feedbacks; Density, bulk, permafrost; DEPTH, sediment/rock; Dmitry Laptev Strait; Event label; Greenhouse gas source; Height above sea level; Ice content, intrasedimentary ice; Ice wedge content; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; Latitude of event; Lena Delta; Longitude of event; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID10; PETA-CARB_ID11; PETA-CARB_ID12; PETA-CARB_ID13; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID16; PETA-CARB_ID17; PETA-CARB_ID2; PETA-CARB_ID20; PETA-CARB_ID21; PETA-CARB_ID22; PETA-CARB_ID23; PETA-CARB_ID24; PETA-CARB_ID25; PETA-CARB_ID26; PETA-CARB_ID27; PETA-CARB_ID3; PETA-CARB_ID4; PETA-CARB_ID5; PETA-CARB_ID6; PETA-CARB_ID7; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample code/label; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 5074 data points
    Location Call Number Limitation Availability
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Muster, Sina; Roth, Kurt; Langer, Moritz; Lange, Stephan; Cresto-Aleina, Fabio; Bartsch, Annett; Morgenstern, Anne; Grosse, Guido; Jones, Benjamin M; Sannel, A Britta K; Sjöberg, Ylva; Günther, Frank; Andresen, Christian; Veremeeva, Alexandra; Lindgren, Prajna R; Bouchard, Frédéric; Lara, Mark J; Fortier, Daniel; Charbonneau, Simon; Virtanen, Tarmo A; Hugelius, Gustaf; Palmtag, Juri; Siewert, Matthias Benjamin; Riley, William J; Koven, Charles D; Boike, Julia (2017): PeRL: a circum-Arctic Permafrost Region Pond and Lake database. Earth System Science Data, 9(1), 317-348, https://doi.org/10.5194/essd-9-317-2017
    Publication Date: 2024-01-27
    Description: Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1.0 × 10**4 m**2, have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002-2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of 1.4 × 10**6 km**2 across the Arctic, about 17 % of the Arctic lowland ( 〈 300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1.0 × 10**6 m**2 down to 1.0 × 10**2 m**2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1.0 × 10 to 9.4 × 10**1/km². Ponds are the dominant waterbody type by number in all landscapes representing 45-99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands.
    Keywords: Arctic; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; File format; File name; File size; PAGE21; pan-Arctic; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-04-20
    Description: The Quaternary geology map was created for the Yana-Indigirka (eastern part) and Kolyma lowlands, tundra and partly forest-tundra zones. The map corresponds to the nomenclature sheet of Government Geological Map R-(55)-57, northern part. The primary goal for creating the map is to enhance current knowledge of Quaternary deposits distribution in Yedoma regions in North-Eastern Siberia due to the lack of the geological maps of large scale for this region. For most area of the region maps of 1:200.000 scale are still not created and only geological maps of 1:1.000.000 scale exist. The Database of Quaternary Deposits from Maps of 1:1.000.000 scale, East and Central Siberia, is available via https://apgc.awi.de (Bryant et al., 2017, https://doi.org/10.5066/F7VT1Q89). The main Quaternary deposits on the Yana-Indigirka and Kolyma lowlands are late Pleistocene ice-rich Yedoma Ice Complex (LIII2-4), corresponded to yedoma uplands, and Holocene Alas Complexes (lbIV) formed in drained thermokarst lake basins (alases) due to the Yedoma IC thawing in the late Pleistocene-Holocene. High ice-rich Yedoma Ice Complex (IC) deposits are very vulnerable to observed climate warming, which lead to the landscape changes such as surface subsidence, thermokarst and thermoerosion processes activation, deepening of the active layer thickness, etc., as well as to remobilization of the buried freezelocked organic matter and contribution to greenhouse gases fluxes to the atmosphere. The map was created using Landsat images that allow the area of the yedoma uplands and alases to be clearly identified. The mapping of Quaternary deposits was done using Landsat TM 5 and 7 ETM+ satellite images acquired from August and July for the 2001-2010 period. Detecting of Quaternary deposits corresponded to landforms were conducted manually using spectral characteristics of satellite images, landform morphology, absolute heights and existing Quaternary Geology map of 1:1.000.000 scale. The working scale of the mapping was 1:30.000. Mapped Quaternary deposits are represented by six types: Yedoma IC, alas complex, alluvial, alluvial-marine, marine, and bedrocks. A comparison of the Quaternary deposit distribution as mapped with the Landsat satellite imagery and the 1:1.000.000 geological map revealed a 2.5-times overestimation of the Yedoma IC deposits extent area at the 1:1.000.000 scale. The Landsat-based map corresponds to 1:200.000 scale and provides important information about the distribution of yedoma uplands and thermokarst development during Holocene and is the basis for the analysis of yedoma-alas landscapes changes under modern climate warming. Detailed information about methods and results can be found in Veremeeva&Glushkova (2016) and Shmelev et al. (2017).
    Keywords: Binary Object; File content; Holocene; ice-rich Permafrost; Landsat; Late Pleictocene; MULT; Multiple investigations; Permafrost; Quaternary Geology Map; thermokarst; Yana-Indigirka_Kolyma; Yedoma
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-05-07
    Description: Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.
    Keywords: Alaska North Slope; Aldan River outcrop Mamontova Gora; Allaikha_Yedoma; Arctic Ocean; Area/locality; AWI_Perma; Ayon; base of ice complex; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Beaver_Creek; Belkovsky; Binary Object; BLOSSOM; Blossom Cape; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Bykovsky_Peninsula; Cape_Anisii_Kotelnii_Island_2002; Cape_Maly_Chukochy; Cape Mamontov Klyk, Laptev Sea; Central_Yakutia; Central Yakutia; Chukotka, Russia; climate feedbacks; Coast_of_the_East-Siberian_Sea; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment; CRREL; DATE/TIME; Dresvyanyi_Island; Duvanny_Yar; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvannyi_Yar; Duvanny Yar, Yakutia; East Siberian Sea; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File type; Geological profile sampling; GEOPRO; Great_Khomus_River; Greenhouse gas source; Identification; Investigator; IPA_Yedoma_Action_Group; Itkillik_River; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Khaptashin_Yar; Khardang; Kitluk_River_Seward_Peninsula_2010; Klondike_area; Kolyma Lowland, NE Siberia; Konstantinovskoye; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Kychchyma; KYT; Kytalyk; Kytalyk, Indigirka lowlands, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Late Pleistocene; LATITUDE; Lena-Amga_Rivers; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Lena Delta, Siberia, Russia; Lesser_Chaun_Strait; LONGITUDE; Maly_Lyakhovsky_Island; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Khayata; Mamontovy_Klyk_2003; Molotlovskiy_Kamen; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; N_Yakutia; Nagym; Nagym_Lena; Northern_Bykovsky_Peninsula_2014; Northern_Seward_Peninsula; NW Chukotka; Old_Allaikha; Oyagoss_Yar_2002; Palisades; Permafrost; Permafrost Research; PETA-CARB; Plakhino; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Rauchua_river_bank_2011; Rauhua_River; Russkoe; Sakha Republic, Russia; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo-Sise_Cliff; Sobo Sise Island, Lena Delta; SSC; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tanda; thermokarst; The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness; Tube_Dispenser_Lake_Cherskii_2007; Tyungyulyu_alas; Ust_Rauchua_coast_2014; Uste-Omolon_Yar; Vankina_River_mouth; Vault_Creek_Tunnel; Vilyui_River; Yana-Indigirka Lowland, NE Siberia; Yedoma; Yedoma_IRYP
    Type: Dataset
    Format: text/tab-separated-values, 1124 data points
    Location Call Number Limitation Availability
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  • 8
  • 9
    Publication Date: 2024-05-07
    Keywords: Alaska North Slope; Aldan River outcrop Mamontova Gora; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Cape_Anisii_Kotelnii_Island_2002; Cape Mamontov Klyk, Laptev Sea; Central Yakutia; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment of event; Date/Time of event; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvanny Yar, Yakutia; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File size; Identification; Investigator; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Kitluk_River_Seward_Peninsula_2010; Kolyma Lowland, NE Siberia; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Latitude of event; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Location of event; Longitude of event; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Klyk_2003; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; Northern_Bykovsky_Peninsula_2014; NW Chukotka; Oyagoss_Yar_2002; Rauchua_river_bank_2011; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo Sise Island, Lena Delta; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tube_Dispenser_Lake_Cherskii_2007; Uniform resource locator/link to image; Uniform resource locator/link to thumbnail; Ust_Rauchua_coast_2014; Yana-Indigirka Lowland, NE Siberia
    Type: Dataset
    Format: text/tab-separated-values, 259 data points
    Location Call Number Limitation Availability
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  • 10
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