ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (9)
  • 2010-2014  (9)
Collection
Keywords
Publisher
Years
Year
  • 1
    Publication Date: 2023-02-28
    Keywords: Arctic; DUEPermafrost_panarctic; ESA Data User Element - Permafrost; ESA-DUE-Permafrost; File content; File format; File size; SAT; Satellite remote sensing; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Buchhorn, Marcel; Petereit, Reinhold; Heim, Birgit (2013): A Manual Transportable Instrument Platform for Ground-Based Spectro-Directional Observations (ManTIS) and the Resultant Hyperspectral Field Goniometer System. Sensors, 13(12), 16105-16128, https://doi.org/10.3390/s131216105
    Publication Date: 2023-01-13
    Description: This article presents and technically describes a new field spectro-goniometer system for the ground-based characterization of the surface reflectance anisotropy under natural illumination conditions developed at the Alfred Wegener Institute (AWI). The spectro-goniometer consists of a Manual Transportable Instrument platform for ground-based Spectro-directional observations (ManTIS), and a hyperspectral sensor system. The presented measurement strategy shows that the AWI ManTIS field spectro-goniometer can deliver high quality hemispherical conical reflectance factor (HCRF) measurements with a pointing accuracy of ±6 cm within the constant observation center. The sampling of a ManTIS hemisphere (up to 30° viewing zenith, 360° viewing azimuth) needs approx. 18 min. The developed data processing chain in combination with the software used for the semi-automatic control provides a reliable method to reduce temporal effects during the measurements. The presented visualization and analysis approaches of the HCRF data of an Arctic low growing vegetation showcase prove the high quality of spectro-goniometer measurements. The patented low-cost and lightweight ManTIS instrument platform can be customized for various research needs and is available for purchase.
    Type: Dataset
    Format: video/mp4, 47.4 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-05-12
    Keywords: Arctic; DUEPermafrost_panarctic; ESA Data User Element - Permafrost; ESA-DUE-Permafrost; File content; File format; File size; SAT; Satellite remote sensing; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-06-27
    Keywords: ABI; Abisko; Abisko, Lappland, northern Sweden; AWIPEV; AWIPEV_based; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; CHE; Cherskii; DAR; Daring_lake; Event label; File name; File size; HER; Herschel_Island; KYT; Kytalyk; Kytalyk, Indigirka lowlands, Siberia; Latitude of event; LEN; Lena Delta, Siberia, Russia; LenaDeltaRegion; Longitude of event; MULT; Multiple investigations; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; PAGE21; SAT; Satellite remote sensing; SPA; Spasskaya_Pad; Uniform resource locator/link to file; VOR; Vorkuta_Saida; ZAC; Zackenberg; Zackenberg, Northeast Greenland
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Bartsch, Annett; Allard, Michel; Biskaborn, Boris K; Burba, George; Christiansen, Hanne Hvidtfeldt; Duguay, Claude R; Grosse, Guido; Günther, Frank; Heim, Birgit; Högström, Elin; Kääb, Andreas; Keuper, Frida; Lanckman, Jean-Pierre; Lantuit, Hugues; Lauknes, Tom Rune; Leibman, Marina O; Liu, Lin; Morgenstern, Anne; Necsoiu, Marius; Overduin, Pier Paul; Pope, Allen; Sachs, Torsten; Séjourné, Antoine; Streletskiy, Dmitry A; Strozzi, Tazio; Ullmann, Tobias; Ullrich, Matthias S; Vieira, Gonçalo; Widhalm, Barbara (2014): Requirements for monitoring of permafrost in polar regions - A community white paper in response to the WMO Polar Space Task Group (PSTG), Version 4, 2014-10-09. Austrian Polar Research Institute, Vienna, Austria, 20 pp, hdl:10013/epic.45648.d001
    Publication Date: 2023-11-16
    Description: About 50 locations ('cold spots') where permafrost (Arctic and Antarctic) in situ monitoring has been taking place for many years or where field stations are currently established (through, for example the Canadian ADAPT program) have been identified. These sites have been proposed to WMO Polar Space Task Group as focus areas for future monitoring by satellite data. Seven monitoring transects spanning different permafrost types have been proposed in addition.
    Keywords: Changing Permafrost in the Arctic and its Global Effects in the 21st Century; Country; Elevation, maximum; Elevation, mean; Elevation, minimum; File name; Identification; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; PAGE21; Permafrost; Persistent Identifier; Site
    Type: Dataset
    Format: text/tab-separated-values, 572 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-01-18
    Keywords: Aerial Photographs; Arctic Tundra; AWI_PerDyn; island; Lake/Pond; MULT; Multiple investigations; Permafrost Research (Periglacial Dynamics) @ AWI; river delta; Samoylov_Island; Samoylov Island, Lena Delta, Siberia
    Type: Dataset
    Format: application/zip, 4.4 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-01-18
    Keywords: Arctic Tundra; AWI_PerDyn; LenaDelta; Lena Delta, Siberia, Russia; Permafrost Research (Periglacial Dynamics) @ AWI; river delta
    Type: Dataset
    Format: application/zip, 11.6 MBytes
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Muster, Sina; Langer, Moritz; Heim, Birgit; Westermann, Sebastian; Boike, Julia (2012): Subpixel heterogeneity of ice-wedge polygonal tundra: a multi-scale analysis of land cover and evapotranspiration in the Lena River Delta, Siberia. Tellus Series B-Chemical and Physical Meteorology, 64, 17301, https://doi.org/10.3402/tellusb.v64i0.17301
    Publication Date: 2024-01-18
    Description: Ignoring small-scale heterogeneities in Arctic land cover may bias estimates of water, heat and carbon fluxes in large-scale climate and ecosystem models. We investigated subpixel-scale heterogeneity in CHRIS/PROBA and Landsat-7 ETM+ satellite imagery over ice-wedge polygonal tundra in the Lena Delta of Siberia, and the associated implications for evapotranspiration (ET) estimation. Field measurements were combined with aerial and satellite data to link fine-scale (0.3 m resolution) with coarse-scale (upto 30 m resolution) land cover data. A large portion of the total wet tundra (80%) and water body area (30%) appeared in the form of patches less than 0.1 ha in size, which could not be resolved with satellite data. Wet tundra and small water bodies represented about half of the total ET in summer. Their contribution was reduced to 20% in fall, during which ET rates from dry tundra were highest instead. Inclusion of subpixel-scale water bodies increased the total water surface area of the Lena Delta from 13% to 20%. The actual land/water proportions within each composite satellite pixel was best captured with Landsat data using a statistical downscaling approach, which is recommended for reliable large-scale modelling of water, heat and carbon exchange from permafrost landscapes.
    Keywords: Aerial Photographs; Arctic Tundra; AWI_PerDyn; island; Lake/Pond; Permafrost Research (Periglacial Dynamics) @ AWI; river delta
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kraberg, Alexandra Claudia; Druzhkova, Elena I; Heim, Birgit; Löder, Martin G J; Wiltshire, Karen Helen (2013): Phytoplankton community structure in the Lena Delta (Siberia, Russia) in relation to hydrography. Biogeosciences, 10(11), 7263-7277, https://doi.org/10.5194/bg-10-7263-2013
    Publication Date: 2024-03-01
    Description: The Lena Delta in Northern Siberia is one of the largest river deltas in the world. During peak discharge, after the ice melt in spring, it delivers between 60-8000 m**3/s of water and sediment into the Arctic Ocean. The Lena Delta and the Laptev Sea coast also constitute a continuous permafrost region. Ongoing climate change, which is particularly pronounced in the Arctic, is leading to increased rates of permafrost thaw. This has already profoundly altered the discharge rates of the Lena River. But the chemistry of the river waters which are discharged into the coastal Laptev Sea have also been hypothesized to undergo considerable compositional changes, e.g. by increasing concentrations of inorganic nutrients such as dissolved organic carbon (DOC) and methane. These physical and chemical changes will also affect the composition of the phytoplankton communities. However, before potential consequences of climate change for coastal arctic phytoplankton communities can be judged, the inherent status of the diversity and food web interactions within the delta have to be established. In 2010, as part of the AWI Lena Delta programme, the phyto- and microzooplankton community in three river channels of the delta (Trofimov, Bykov and Olenek) as well as four coastal transects were investigated to capture the typical river phytoplankton communities and the transitional zone of brackish/marine conditions. Most CTD profiles from 23 coastal stations showed very strong stratification. The only exception to this was a small, shallow and mixed area running from the outflow of Bykov channel in a northerly direction parallel to the shore. Of the five stations in this area, three had a salinity of close to zero. Two further stations had salinities of around 2 and 5 throughout the water column. In the remaining transects, on the other hand, salinities varied between 5 and 30 with depth. Phytoplankton counts from the outflow from the Lena were dominated by diatoms (Aulacoseira species) cyanobacteria (Aphanizomenon, Pseudanabaena) and chlorophytes. In contrast, in the stratified stations the plankton was mostly dominated by dinoflagellates, ciliates and nanoflagellates, with only an insignificant diatom component from the genera Chaetoceros and Thalassiosira (brackish as opposed to freshwater species). Ciliate abundance was significantly coupled with the abundance of total flagellates. A pronounced partitioning in the phytoplankton community was also discernible with depth, with a different community composition and abundance above and below the thermocline in the stratified sites. This work is a first analysis of the phytoplankton community structure in the region where Lena River discharge enters the Laptev Sea.
    Keywords: Acanthoceras; Actinastrum cf. hantzschii; Amphidinium cf. crassus; Amphidinium cf. extensum; Anabaena, coiled, irregular; Anabaena, coiled, regular; Anabaena straight; Aphanizomenon spp.; Aphanocapsa spp.; Asterionella formosa; Aulacoseira; Aulacoseira cells, other; Aulacoseira granulata; Aulacoseira granulata var. angustissima; AWI_Coast; AWI Arctic Land Expedition; Bacteria, star-shaped; Bosmina spp.; Ceratium cf. hirundinella; cf. Cyclotella; cf. Trichocerca spp.; Chaetoceros spp.; Chlorophyte; Chlorophyte indeterminata; Ciliates; Ciliates, other; Closterium spp.; Coastal Ecology @ AWI; Coelastrum spp.; Copepoda, adult; Coscinodiscus; Cosmarium spp.; Crucigenia fenestrata; Crucigenia spp.; Cryptophytes; Crysophytes; CTD/Rosette; CTD-RO; Cuspidothrix issatchenkoi; Cyanobacteria; Cyanophyte filaments, other; Cyanophyte filaments, undifferentiated; Cyanophytes; Date/Time of event; DEPTH, water; Desmodesmus spp.; Diatoma spp.; Diatoms, pennales; Dictyosphaerium; Didinium gargantua; Dinobryon cf. cylindricum; Dinobryon spp.; Dinoflagellates, other; Dinoflagellate sp.; Dinophysis acuminata; Ebria tripartita; Elakatothrix spp.; Elevation of event; Euglenid indeterminata; Event label; Flagellates; Flagellates, green; Fragilaria; Fragilaria cf. crotonensis; Fragilaria spp.; Gomphonema; Gymnodinium; Gyrodinium spp.; Heterocapsa-like; Katodinium spp.; Keratella spp.; Koliella/Ankistrodesmus/Monoraphidium; Lagerheimia spp.; Laptev Sea; Latitude of event; Lena2010; Longitude of event; Lyngbya spp.; Melosira cf. varians; Melosira spp.; Meridion spp.; Monoraphidium, curved; Monoraphidium colony; Monoraphidium contortum; Myrionecta spp.; Nauplii; Nitzschia; Oocystis spp.; Pediastrum boryanum; Pediastrum boryanum var. longicorne; Pediastrum duplex; Pediastrum duplex var. gracillimum; Pediastrum spp.; Pediastrum tetras; Peridiniales; Peridiniella catenata; Phytoplankton, cell, other, indeterminata; Phytoplankton, cell cf. Actinastrum, indeterminata; Picocyanophytes; Plagiogrammopsis; Planktothrix spp.; Protoperidinium; Protoperidinium pellucidum; Protoperidinium spp.; Pseudoanabaena spp.; Quantitative phytoplankton method (Utermöhl, 1958); Rotifers, other; RU-Land_2010_Lena; Sample code/label; Sample volume; Scenedesmus; Scenedesmus cf. acuminatus; Scenesesmus cf. ornatus; Selenastrum spp.; Skeletonema spp.; Spondylosium spp.; Staurastrum spp.; Stephanodiscus spp.; Suctoria; Surirella; Synedra spp.; Synedra ulna; T1-10-01; T1-10-02; T1-10-03; T1-10-04; T1-10-05; T1-10-06; T1-10-07; T2-10-01; T2-10-02; T2-10-03; T2-10-04; T2-10-05; T3-10-01; T3-10-02; T3-10-03; T3-10-04; T3-10-05; T4-10-01; T4-10-02; T4-10-03; T4-10-04; T4-10-05; T5-10-01; T5-10-02; T5-10-03; T6-10-01; T6-10-02; T6-10-03; T8-10-01; T8-10-02; T8-10-03; Tabellaria spp.; Tetraedron spp.; Thalassiosira spp.; Tintinnid; Trachelomonas; Trachelomonas cf. hispida; Unidentified chain
    Type: Dataset
    Format: text/tab-separated-values, 8844 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...