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  • 1
    Publication Date: 2024-04-27
    Description: Peatlands store and emit large amounts of greenhouse gases. With the climate changing due to global warming, measuring these emissions helps to get a better understanding of the role of peatlands in the global carbon cycle. Measurements at a bog site of the Siikaneva peatland show that the emissions vary along the different microtopographies shaped by their vegetation and ground water level. To upscale these measurements, a supervised classification of the study area was implemented in this study by testing a method that uses high-resolution multispectral aerial imagery, captured by a UAV (Uncrewed Aerial Vehicle), and a Random Forest classifier. A cohesive orthomosaic of the study area was produced, training data were generated to adjust the Random Forest model, and the study area was classified. The results show that the applied methods were successful in generating a multispectral orthomosaic as well as a classified raster of the study area. A mean classification accuracy of 75.7 % was achieved, which can be considered as a good result. Misclassification rates of neighboring microtopographies with similar vegetation could be mitigated by utilizing a LiDAR (Light Detection and Ranging) sensor in further studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
    Format: application/pdf
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  • 2
    Publication Date: 2024-04-26
    Description: Abstract
    Description: Main aim of the project was to investigate the local seismicity (distribution and kinematics) within and around the Fergana basin and the Southern Tien Shan in Southern Kyrgistan. In order to achieve this goal a temporary local network was installed between 2009 and 2010. The results derived from this project contributed to decipher the relationship between geodynamics, neotectonic block structures and the occurrence of landslides in this region. Waveform data is available from the GEOFON data centre, under network code 6C, and is fully open.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 3
    Publication Date: 2024-04-26
    Description: Abstract
    Description: A network of 210 continuously running, digital seismic stations equipped with short-period sensors (200 stations) and broadband sensors (10 stations) was deployed in an area of ~8 x ~6 km in the Irish Midlands (north of Collinstown) for a time period of ~6 weeks. The network was part of the EU project VECTOR (https://vectorproject.eu) aiming to investigate – among others – possible solutions for least invasive forms of exploration for mineral resources. In this context the collected data was mainly used to derive a 3D model of the subsurface (seismic shear wave velocity) using ambient noise tomography (down to ~1.5km depth). We thank all field crews for their excellent work rendered to the project. Waveform data is available from the GEOFON data centre, under network code 7W, and is embargoed until Feb 2025.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; Seismometers ; Geophone[g] ; Velocity ; MiniSEED ; Passive seismic ; GIPP ; MESI ; Raw[g] ; Local network ; Vertical component[g] ; Three-component[g] ; Land[g] ; Geophysics ; Natural
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 4
    Publication Date: 2024-04-26
    Description: Abstract
    Description: This dataset includes a shapefile representing the digitized historical road network of Kenya. It contains over 56,000 km of historical roads extracted from 449 historical topographic maps of 1:50,000 scale and 71 maps of 1:100,000 scale covering the time period from the 1950s to the 1980s. The topographic maps were obtained from various sources in Kenya and the UK. Most of maps were collected in Kenya provided by the Survey of Kenya and several local county governments’ survey and urban planning departments. Additionally, some maps were obtained from archives in Great Britain, namely the Bodleian Library of the University of Oxford and the Cambridge University Library. All the acquired maps were originally created and published by the Directorate of Overseas Surveys (DOS), the War Office, General Staff, Geographical Section and the Survey of Kenya. The road data was extracted from these maps using deep learning techniques, including a Python script and ArcGIS Pro “Multi-Task Road Extractor” tool.
    Keywords: Infrastructure ; Imagery/Base Maps/Earth Cover ; Road Network ; Roads ; Geodata ; Historical Data ; Vector Data ; GIS ; Africa ; African History ; Historical Maps ; Infrastructure ; Road ; Geographic information system ; Data ; road network ; road ; data ; infrastructure development
    Type: Dataset , Shapefile
    Format: ESRI Shapefile
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  • 5
    Publication Date: 2024-04-26
    Description: Abstract
    Description: The goal of the UPFLOW project is to develop new high-resolution seismic imaging approaches along with new data collection, and to use them to constrain upward flow in unprecedented detail. We conducted a large off-shore experiment in the Azores-Madeira-Canary Islands region, which is a unique natural laboratory with multiple upwellings that are poorly understood in general. UPFLOW deployed and recovered 49 ocean bottom seismometers (OBSs) in a ~1,000×2,000 km2 area in the Azores-Madeira-Canary Islands region starting in July 2021 for ~13 months, with an average spacing of ~150-200 km. The seismic deployment and recovery involved institutions from five different countries: Portugal (IPMA, IDL, Univ. of Lisbon, ISEL), Ireland (DIAS), UK (UCL), Spain (ROA) and Germany (Potsdam University, GFZ, Geomar, AWI). 32 OBSs were be rented from the DEPAS international pool of instruments maintained by the Alfred Wegener Institute (Bremerhaven), Germany, while other institutions borrowed additional instruments (7 from DIAS, 4 from IDL, 3 from ROA, 4 from GEOMAR). Most of the instruments have three-component wideband seismic sensors, but three different designs of OBS frames were used. Waveform data is available from the GEOFON data centre, under network code 8J, and is embargoed until May 2028. We want to acknowledge the exceptional support of the whole team of able seaman, steward, cooks, engineers, mechanicians, electricians and motorman assistants of the vessel RRV Mário Ruivo. With special Thanks to José Ângelo Gomes (Captain), Luís Ramos (Superintendent), Mafalda Carapuço Vessel’s manager (IPMA), Henrique Ferreira Land logistics (IPMA), Celine Ahmed and Jen Amery (Administrative support at UCL)
    Keywords: GEOMAR ; iMarl-DIAS ; IDL ; ROA ; Pressure ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; OBS ; Passive seismic ; Velocity ; MiniSEED ; DEPAS ; Amphibious ; Mantle plume ; Regional network ; Displacement ; Three-component[g] ; Natural
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 6
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    In:  Elgar Encyclopedia of Environmental Sociology | Elgar Encyclopedias in Sociology series
    Publication Date: 2024-04-26
    Description: Strategies for mitigating climate change today include plans for removing carbon dioxide from the atmosphere through “Negative Emissions Technologies” (NETs). NETs create new opportunities for scientific research, technology development, and the development of financial products, but also new conceptual possibilities, for example of declaring one’s ambition to become “climate neutral.” NETs thus constitute a novel frontier in climate science and politics whose conditions of possibility, characteristics, and consequences can be studied by social scientists and humanists. For environmental sociologists, NETs pose numerous opportunities for engaging with questions around future-making, imaginaries, promises, expertise, markets, infrastructure, justice, publics, and generally, the shape and role of science and technology in a form of social life that is increasingly organized around “planetary” concepts.
    Language: English
    Type: info:eu-repo/semantics/bookPart
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  • 7
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    In:  Natur und Landschaft : Zeitschrift für Naturschutz und Landschaftspflege
    Publication Date: 2024-04-26
    Language: German
    Type: info:eu-repo/semantics/article
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  • 8
    Publication Date: 2024-04-26
    Description: CrossGov D2.1 EU and international policy landscape - Mapping EU policies and Green Deal objectives: general observations for policy coherence in the marine domain aims to provide a mapping of the European Green Deal policy landscape relevant to the marine domain and the CrossGov project. It also offers a general introduction into how policy coherence, embedded within the design of (selected) EU policies, supports or impedes progress towards the EGD’s objectives in the marine domain. A total of 36 policies were selected and mapped against five EGD strategies, namely the 2030 Climate Target Plan, the EU Climate Change Adaptation Strategy, the Biodiversity Strategy for 2030, the Zero Pollution Action Plan, and the Sustainable Blue Economy Strategy. These five strategies lay out a total of 25 specific objectives to implement the vision of the EGD, identified as relevant to the marine domain and the focus of the CrossGov project – i.e. climate change, biodiversity loss, and pollution.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 9
    Publication Date: 2024-04-26
    Description: Why is it important to go to the major expense and long-term effort of organizing, preparing and executing drilling in the permanently ice-covered, deep-sea regions of the Arctic? Because of its unique characteristics, the Arctic Ocean has a climatic and oceanographic influence far beyond its limited geographic extent. For example, deep water formed in the polar and subpolar seas fills the basins of the rest of the world's ocean. The modern Arctic sea ice cover, although apparently thermodynamically unstable, has existed for severul million years, affecting global heat budgets and therefore the global climate system. Yet we do not know when deep waters of the Arctic Ocean were first linked with those of the Norwegian-Greenland Sea, nor when sea ice first covered the Arctic Basin. Likewise the geologic composition and history of major morphologic features, ridges, plateaus and margins are practically unknown. This knowledge is missing because of a lack of appropriate samples of sediment and bedrock. With a coordinated effort of site surveying and drilling in the Arctic it would be feasible to obtain the required material. This report presents a scientific rationale and an organizational scheme together with various technological options for drilling in this hostile environment.
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 10
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    GEOMAR Helmholtz-Zentrum für Ozeanforschung
    Publication Date: 2024-04-26
    Type: Report , NonPeerReviewed
    Format: text
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