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  • PANGAEA  (3)
  • DFG-Senatskommission für Ozeanographie  (1)
Collection
Years
  • 1
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    PANGAEA
    In:  Supplement to: Berndt, Christian; Feseker, Tomas; Treude, Tina; Krastel, Sebastian; Liebetrau, Volker; Niemann, Helge; Bertics, Victoria J; Dumke, Ines; Dünnbier, Karolin; Ferre, Benedicte; Graves, Carolyn; Gross, Felix; Hissmann, Karen; Hühnerbach, Veit; Krause, Stefan; Lieser, Kathrin; Schauer, Jürgen; Steinle, Lea (2014): Temporal constraints on hydrate-controlled methane seepage off Svalbard. Published Online January 2 2014, Science, https://doi.org/10.1126/science.1246298
    Publication Date: 2023-03-03
    Description: Methane hydrate is an ice-like substance that is stable at high-pressure and low temperature in continental margin sediments. Since the discovery of a large number of gas flares at the landward termination of the gas hydrate stability zone off Svalbard, there has been concern that warming bottom waters have started to dissociate large amounts of gas hydrate and that the resulting methane release may possibly accelerate global warming. Here, we can corroborate that hydrates play a role in the observed seepage of gas, but we present evidence that seepage off Svalbard has been ongoing for at least three thousand years and that seasonal fluctuations of 1-2°C in the bottom-water temperature cause periodic gas hydrate formation and dissociation, which focus seepage at the observed sites.
    Keywords: Center for Marine Environmental Sciences; GEOMAR; Helmholtz Centre for Ocean Research Kiel; MARUM
    Type: Dataset
    Format: application/zip, 29 datasets
    Location Call Number Expected Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Dumke, Ines; Nornes, Stein; Purser, Autun; Marcon, Yann; Ludvigsen, Martin; Ellefmo, Steinar L; Johnsen, Geir; Søreide, Fredrik (2018): First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules. Remote Sensing of Environment, 209, 19-30, https://doi.org/10.1016/j.rse.2018.02.024
    Publication Date: 2023-03-03
    Description: Hyperspectral seafloor surveys using airborne or spaceborne sensors are generally limited to shallow coastal areas, due to the requirement for target illumination by sunlight. Deeper marine environments devoid of sunlight cannot be imaged by conventional hyperspectral imagers. Instead, a close-range, sunlight-independent hyperspectral survey approach is required. In this study, we present the first hyperspectral image data from the deep seafloor. The data were acquired in approximately 4200 m water depth using a new Underwater Hyperspectral Imager (UHI) mounted on a remotely operated vehicle (ROV). UHI data were recorded for 112 spectral bands between 378 nm and 805 nm, with a high spectral (4 nm) and spatial resolution (1 mm per image pixel). The study area was located in a manganese nodule field in the Peru Basin (SE Pacific), close to the DISCOL (DISturbance and reCOLonization) experimental area. To test whether underwater hyperspectral imaging can be used for detection and mapping of mineral deposits in potential deep-sea mining areas, we compared two supervised classification methods, the Support Vector Machine (SVM) and the Spectral Angle Mapper (SAM). The results show that SVM is superior to SAM and is able to accurately detect nodule surfaces. The UHI therefore represents a promising tool for high-resolution seafloor exploration and characterisation prior to resource exploitation.
    Keywords: Event label; File format; File name; File size; Hyperspectral Imager/Profiler; HYSP; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Remote operated vehicle; ROV; SO242/2; SO242/2_191_HYSP-1; SO242/2_191_HYSP-10; SO242/2_191_HYSP-11; SO242/2_191_HYSP-12; SO242/2_191_HYSP-13; SO242/2_191_HYSP-14; SO242/2_191_HYSP-15; SO242/2_191_HYSP-2; SO242/2_191_HYSP-3; SO242/2_191_HYSP-4; SO242/2_191_HYSP-5; SO242/2_191_HYSP-6; SO242/2_191_HYSP-7; SO242/2_191_HYSP-8; SO242/2_191_HYSP-9; SO242/2_191-1; Sonne_2; South Pacific Ocean, Peru Basin; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
    Location Call Number Expected Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Dumke, Ines; Burwicz, Ewa; Berndt, Christian; Klaeschen, Dirk; Feseker, Tomas; Geissler, Wolfram H; Sarkar, Sudipta (2016): Gas hydrate distribution and hydrocarbon maturation north of the Knipovich Ridge, western Svalbard margin. Journal of Geophysical Research: Solid Earth, 121(3), 1405-1424, https://doi.org/10.1002/2015JB012083
    Publication Date: 2024-02-16
    Description: The seismic data were acquired north of the Knipovich Ridge on the western Svalbard margin during cruise MSM21/4. They were recorded using a Geometrics GeoEel streamer of either 120 channels (profiles p100-p208) or 88 channels (profiles p300-p805) with a group spacing of 1.56 m and a sampling rate of 2 kHz. A GI-Gun (2×1.7 l) with a main frequency of ~150 Hz was used as a source and operated at a shot interval of 6-8 s. Processing of profiles p100-p208 and p600-p805: Positions for each channel were calculated by backtracking along the profiles from the GI-Gun GPS positions. The shot gathers were analyzed for abnormal amplitudes below the seafloor reflection by comparing neighboring traces in different frequency bands within sliding time windows. To suppress surface-generated water noise, a tau-p filter was applied in the shot gather domain. Common mid-point (CMP) profiles were then generated through crooked-line binning with a CMP spacing of 1.5625 m. A zero-phase band-pass filter with corner frequencies of 60 Hz and 360 Hz was applied to the data. Based on regional velocity information from MCS data [Sarkar, 2012], an interpolated and extrapolated 3D interval velocity model was created below the digitized seafloor reflection of the high-resolution streamer data. This velocity model was used to apply a CMP stack and an amplitude-preserving Kirchhoff post-stack time migration. Processing of profiles p400-p500: Data were sampled at 0.5 ms and sorted into common midpoint (CMP) domain with a bin spacing of 5 m. Normal move out correction was carried out with a velocity of 1500 m s-1 and an Ormsby bandpass filter with corner frequencies at 40, 80, 600 and 1000 Hz was applied. The data were time migrated using the water velocity.
    Keywords: Comment; Date/Time of event; Date/Time of event 2; Event label; File name; File size; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Maria S. Merian; MSM21/4; MSM21/4_548-1; MSM21/4_562-1; MSM21/4_608-1; MSM21/4_619-1; MSM21/4_646-1; MSM21/4_651-1; North Greenland Sea; Seismic profile P100-P102; Seismic profile P200-P208; Seismic profile P400, P500; Seismic profile P600; Seismic profile P700-P706; Seismic profile P800-P805; Seismic reflection profile; SEISREFL; Uniform resource locator/link to sgy data file
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 4
    Publication Date: 2017-09-14
    Description: The Adriatic Sea and underlying lithosphere remains the least investigated part of the Mediterranean Sea. To shed light on the plate tectonic setting in this central part of southern Europe, R/V METEOR cruise M86/3 set out to acquire deep penetrating seismic data in the Adriatic Sea. M86/3 formed the core of an amphibious investigation crossing Adria from the Italian Peninsula into Montenegro/Albania. A total of 111 OBS/OBH deployments were successfully carried out, in addition to 47 landstations both in Italy and Montenegro/Albania, which recorded the offshore airgun shots. In the scope of this shoreline-crossing study, the aim is to quantify the shallow geometry, deep boundaries and the architecture of the southern Adriatic crust and lithosphere and to provide insights on a possible decoupling zone between the northern and southern Adriatic domains. Investigating the structure of the Adriatic crust and lithospheric mantle and analyzing the tectonic activity are essential for understanding the mountain-building processes that underlie the neotectonics and earthquake hazard of the Periadriatic region, especially in the vicinity of local decoupling zones.
    Type: Report , NonPeerReviewed
    Format: text
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