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  • 1
    Call number: M 20.94084
    Type of Medium: Monograph available for loan
    Pages: xvii, 169 Seiten , Graphiken
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 2
    Publication Date: 2018-06-25
    Description: Seit mehr als 50 Jahren entwickelt und vertreibt das Hamburger Familienunternehmen Holger Clasen hochwertige, industrielle Werkzeuglösungen in den Sparten Druckluft, Hydraulik und Elektrotechnik. Der funktionale Grundnutzen der qualitativ hochwertigen Produkte reicht im heutigen B2B-Umfeld nicht mehr aus, um sich in einem verschärften Wettbewerbsumfeld zu differenzieren und damit langfristig zu behaupten. Um sich am Markt erfolgreich zu positionieren, wächst im Unternehmen die Notwendigkeit, ein Markenmanagement zu integrieren. Dieses Arbeitspapier zeigt am Beispiel von Holger Clasen, wie kleine und mittelständische Unternehmen in ein - aus heutiger Sicht auch im B2B-Umfeld zunehmend wichtiger werdendes - Markenmanagement einsteigen können.
    Keywords: ddc:330
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: German
    Type: doc-type:workingPaper
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  • 3
    Publication Date: 2018-06-25
    Description: In Kooperation mit dem Marketing Club Hamburg und der Ipsos GmbH haben Masterstudierende der Nordakademie Graduate School im Sommer 2015 eine qualitative Erhebung unter Marketingexperten durchgeführt. 13 Experten mit entsprechender Leitungsfunktion im Marketing haben hier ihre Wahrnehmung der Stadt und die relevanten Standortfaktoren, die eine Stadt aus Marketingsicht heutzutage mitbringen muss, dargestellt.
    Keywords: ddc:330
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: German
    Type: doc-type:workingPaper
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  • 4
    Publication Date: 2018-06-25
    Description: In Kooperation mit dem Marketing Club Hamburg und der Ipsos GmbH haben Masterstudierende der Nordakademie Graduate School im Sommer 2015 eine qualitative Erhebung unter Marketingexperten durchgeführt. 13 Experten mit entsprechender Leitungsfunktion im Marketing haben hier ihre Wahrnehmung der Stadt und die relevanten Standortfaktoren, die eine Stadt aus Marketingsicht heutzutage mitbringen muss, dargestellt.
    Keywords: ddc:330
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: German
    Type: doc-type:workingPaper
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  • 5
    Publication Date: 2017-09-15
    Description: Abstract
    Description: We provide an updated lava flow hazard map for Fogo Volcano, Cabo Verde that is valid after the 2014-2015 eruptive crises. The hazard map shows the probability of lava flow invasion within the Chã das Caldeiras and on the eastern flank of the volcano. This probability is defined as the likelihood that a future lava flow will inundate a specific point before the vent location is known. The hazard map is calculated on the basis of a 5 m resolution digital elevation model generated from contours on the base of photogrammetric data that was updated for the 2014-2015 lava flow using combined terrestrial laser scanner (TLS) and camera data. The lava flow hazard map in printable A0 poster format is available in two versions, an English-Kreolu version (blue) and an English-Portugese version (green). Please refer to Richter et al. (2016) for more information and scientific background, as well as for supplementary material in kml format.
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  • 6
    Publication Date: 2018-04-16
    Description: Abstract
    Description: This data publication is a high resolution Digital Elevation Model (DEM) generated for the Merapi summit by combining terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAVs) photogrammetry data acquired in 2014 and 2015, respectively. The structures of the data are further analysed in Darmawan et al. 2017 (http://doi.org/10.1016/j.jvolgeores.2017.11.006). The published datasets consist of combined point clouds with ~65 million data points and a DEM with a resampled resolution of 0.5 m. The DEM data covers the complexity of the Merapi summit with area of 2 km2. The coordinate of the datasets is projected to global coordinates (WGS 1984 UTM Zone 49 South). TLS is a topography mapping technique which exploits the travel time of a laser beam to measure the range between the ground-based scanning instrument and the earth’s surface. TLS provides high accuracy, precision, and resolution for topography mapping, however, it requires different scan position to obtain accurate topography model in a complex topography. The TLS dataset was acquired by using a long-range RIEGL VZ-6000 instrument with a Pulse Repetition Rate (PRR) of 30 kHz. The Merapi data includes an observation range of 0.129 – 4393.75 m, a theta range (vertical) of 73 – 120° with a sampling angle of 0.041°, a phi range (horizontal) of 33° - 233° with a sampling angle of 0.05°, and 12 reflectors for each scan. The used TLS dataset was achieved by combining two scan positions, both realized in September 2014. In order to reduce still eminent shadowing, we conducted additionally a UAV photogrammetry survey. The UAV data allows to fill data gaps and generate a complete 3D point cloud. The UAV photogrammetry was conducted by using DJI Phantom 2 quadcopter drone in October 2015. The drone carried GoPro HERO 3+ camera and a H3-3D gimbal to reduce image shaking. We obtained over 300 images which cover the summit area of Merapi. By applying the Structure from Motion algorithm, we are able to generate a 3D point cloud model of Merapi summit. Further details on this procedure are provided in Darmawan et al. (2017). Structure from Motion is a technique to generate a 3D model based on 2D overlapped images. The algorithm detects and matches the same ground features of 2D images, reconstructs a 3D scene, and calculates a depth map for each camera frame. The algorithm used is implemented in Agisoft Photoscan Professional software. After importing the images in Agisoft, we used the ‘align image’ function with high accuracy setting to generate 3D sparse point cloud and ‘build dense cloud’ function with high quality to generate 3D dense point cloud. The 3D point clouds of TLS and UAV photogrammetry were then georeferenced to our georeferenced 3D point cloud which acquired in 2012. The RMS of TLS and UAV photogrammetry during georeferenced is 0.60 and 0.44 m, respectively, as described in Further details on this procedure are provided in Darmawan et al. (2017). After georeferencing, both 3D point clouds were merged and interpolated to a raster format in the ArcMap software.
    Keywords: Digital Elevation Model ; LiDAR ; UAV Photogrammetry ; Merapi volcano ; Terrestrial Laser Scanning TLS
    Type: Dataset
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  • 7
    Publication Date: 2017-04-27
    Description: Abstract
    Description: The datasets included in this data publication are: (1) the TLS combined point cloud (consisting of ∼15 million data points), (2) a Digital Elevation Model (DEM) with 1 m pixel spacing which was generated from (1), and (3) a shaded relief of (2) in kmz format. These datasets are supplement to de Zeeuw-van Dalfsen et al. (2017), who used them to study structural and geomorphological features at the nested summit craters of Láscar Volcano, Chile. However, in the paper the data were used in a local reference frame while we here provide both the TLS point cloud and the DEM product in global coordinates (WGS 1984 UTM Zone 19 South). Light detection and ranging (LiDAR) is a technique where a laser pulse is actively emitted from a LiDAR instrument and the echo that returns from a target object is recorded. The distances between the instrument and the target points are calculated from the round-trip travel time of the laser pulse (Fornaciai et al., 2010). A terrestrial laser scanner (TLS) uses this technique in a scanning mode where the laser beam is deflected into different directions by an oscillating mirror while at the same time the scanner’s head is rotating. We used a long-range RIEGL LMS-Z620 instrument with a field of view of up to 80° by 360° in the vertical and horizontal plane, respectively. The maximum repeatability of this instrument is 5 mm, but this value increases with increasing distance between the scanner and the target, when viewing geometries or the target reflectivity are not optimal or when atmospheric conditions vary and are not ideal. From the acquired 3D point cloud topographic details can be retrieved over a maximum distance of 2 km. However, newer instruments can reach distances of 6 km or more.
    Description: Methods
    Description: Georeferencing (local coordinate system) In total, four TLS scans were acquired on two days in November 2013 (two at each day to overcome shadowing effects). The two point clouds from each view point were combined using tie points, i.e. reflectors that were placed in the field, and the RiSCAN Pro Software (http://www.riegl.com). For the two point clouds from day 1, we achieved a standard deviation of 0.0023 m using 6 tie points, while for the two point clouds acquired on day 2 we reached a standard deviation of 0.0052 m using 3 tie points. In addition to the TLS measurement, the reflectors’ positions were also measured using a total station. This additional data allowed us to 1) orientate each of the two point clouds to a local geodetic reference frame in the XY plane using a 3D affine transformation with a remaining RMSE of ∼1 cm and 2) estimate the orientation about Z and the full translation parameters using hand-held GPS coordinates of a common point and the individual tie points. Following this procedure we produced a combined point cloud of all four TLS scans in a local geodetic reference frame. Georeferencing (global coordinate system) In order to derive the coordinates of the TLS point cloud in a global coordinate system, we used the open-source software Minuit2 5.18/00 which was developed at CERN (James and Winkler, 2004 and references therein). This tool finds the minimum value of multi-parameter functions and was in our case employed to find the minimum root mean square residuals (in elevation) between the TLS point clouds and a reference DEM featuring a 1 m pixel spacing that was calculated from tri-stereo optical Pléiades-1 satellite imagery. When applying this minimization technique, the data are transferred to the same coordinate system as the reference data (WGS 1984 UTM Zone 19 South). In a first step, we minimized the two TLS point clouds from the two different acquisition dates separately. We masked out areas from the Pléiades reference DEM that we know are very different when compared to the TLS point data. For instance, areas along the steep crater walls are interpolated to a high degree in the Pléiades DEM, while the scanner-facing crater walls are expected to have comparably precise point values in the TLS dataset. Thereafter, we combined the TLS point clouds and ran another Minuit RMSE minimization onto the masked Pléiades DEM.
    Keywords: Lascar Volcano ; Terrestrial Laser Scanner (TLS) ; Geomorphology ; Nested craters
    Language: English
    Type: Dataset , Dataset
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  • 8
    Publication Date: 2019-08-03
    Description: Abstract
    Description: The eleven islands of the South Sandwich volcanic arc are amongst the least explored places on Earth. The mostly glacier covered volcanoes are home to the largest penguin colonies worldwide, and nine of them have reported (historic) eruptive activity. Any attempt of systematically mapping volcanic activity, or landscape- and glacier dynamics at the South Sandwich Islands is challenging due to their remoteness and inaccessibility.The data presented here were acquired in the framework of the volcano-related project “SSIVOLC” during cruise PS119 on board the German icebreaker research vessel RV Polarstern that headed to the South Sandwich Islands on 15 April 2019 from Punta Arenas and retuned on 31 May 2019 to the Falkland Islands. A major aim of SSIVOLC was to collect photogrammetric data of the glacier-covered Mount Michael Volcano on Saunders Island, which is highly active and holds an active lava lake within its summit crater, which seems to be persistent since the 1990s (Grey et al. 2019).Here, we are providing full access to optical DSLR camera footage and to a selection of still images acquired by unmanned aerial vehicles (UAVs) that we were able to collect on May 17 and May 22, 2019. Because of the remoteness, inaccessibility, and difficult climatic conditions, footage like this is extremely rare, but of great value to various scientific communities, including volcanologists, biologists, and glaciologists. The data were acquired using handheld DSLR cameras and two different UAV models. The former were taken by scientists aboard RV Polarstern using consumer cameras of type Panasonic DMC-G6, Canon EOS 7D Mark II, or SONY DSC-RX10M3 that carried the DMC-G6 (integrated), EF28-300mm (f/3.5-5.6L IS USM), and DSC-RX10M3 (integrated) lenses, respectively (cf. Table 1). The UAV images were acquired in 2-second time-lapse mode using the DJI Mavic 2 Pro, and the DJI Phantom 4 Pro quadcopters. The performance of the UAVs under very cold (-15°C to 0°C) and windy (8 to 25 knots) conditions, and during low light or dark hours exceeded our expectations.Our UAVs were operated under special permission that was designed by the Govenor under Article 6 of the Air Navigation (Overseas Territories) Order 2013, and issued by the Government of South Georgia and the South Sandwich Islands (GSGSSI) and the Air Safety Support International Ltd. This special permission allowed for the operation of the small unmanned aircraft Beyond Visual Line of Sight (BVLOS) and up to an altitude of 5,000 ft, in the United Kingdom Overseas Territory of South Georgia and the South Sandwich Islands. We were launching the UAVs from the RV Polarstern (located just offshore the island), and reached a maximum UAV altitude of 1,370 m above sea level, which allowed for the collection of the unprecedented UAV based photo archive of Saunders Island.The associated data descriptinon summarizes the basic parameters of the UAV flights, the weather conditions, and the major issues that we were facing while operating the drones under the given circumstances. We are summarizing important metadata of our footage in Table 1, and the footprints and viewing geometries are given in Figure 1. The data are provided in .JPG format. Each drone acquisition carries the GPS coordinates (GCS Lat/Long WGS84) of the UAV position in their properties. Panorama pictures (named PA-xx-xx-xx) are not provided in full resolution (for storage reasons), but can be shared in full resolution upon request (please contact the corresponding author, N. Richter). We also discuss some details and give interpretations for selected acquisitions below, referring to an additional labelled version (provided in .PDF format). Please note that the scales on labelled pictures are rough estimates only as in fact scales vary significantly throughout the depth of each picture.
    Keywords: UAV footage ; aerial photography ; active volcano ; Aircraft 〉 UAV ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY
    Type: Dataset
    Format: 2 Files
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  • 9
    Publication Date: 2020-03-09
    Description: Lava flow simulations help to better understand volcanic hazards and may assist emergency preparedness at active volcanoes. We demonstrate that at Fogo Volcano, Cabo Verde, such simulations can explain the 2014–2015 lava flow crisis and therefore provide a valuable base to better prepare for the next inevitable eruption. We conducted topographic mapping in the field and a satellite-based remote sensing analysis. We produced the first topographic model of the 2014–2015 lava flow from combined terrestrial laser scanner (TLS) and photogrammetric data. This high-resolution topographic information facilitates lava flow volume estimates of 43.7 ± 5.2 × 106 m3 from the vertical difference between pre- and posteruptive topographies. Both the pre-eruptive and updated digital elevation models (DEMs) serve as the fundamental input data for lava flow simulations using the well-established DOWNFLOW algorithm. Based on thousands of simulations, we assess the lava flow hazard before and after the 2014–2015 eruption. We find that, although the lava flow hazard has changed significantly, it remains high at the locations of two villages that were destroyed during this eruption. This result is of particular importance as villagers have already started to rebuild the settlements. We also analysed satellite radar imagery acquired by the German TerraSAR-X (TSX) satellite to map lava flow emplacement over time. We obtain the lava flow boundaries every 6 to 11 days during the eruption, which assists the interpretation and evaluation of the lava flow model performance. Our results highlight the fact that lava flow hazards change as a result of modifications of the local topography due to lava flow emplacement. This implies the need for up-to-date topographic information in order to assess lava flow hazards. We also emphasize that areas that were once overrun by lava flows are not necessarily safer, even if local lava flow thicknesses exceed the average lava flow thickness. Our observations will be important for the next eruption of Fogo Volcano and have implications for future lava flow crises and disaster response efforts at basaltic volcanoes elsewhere in the world.
    Description: Published
    Description: 1925–1951
    Description: 5V. Processi eruttivi e post-eruttivi
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 10
    Publication Date: 2014-01-23
    Print ISSN: 0938-8249
    Electronic ISSN: 1861-8901
    Topics: Economics
    Published by Springer
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