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Browsing by Subject "Fjarkönnun"
Now showing items 1-20 of 34
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(University of Iceland, School of Engineering and Natural Sciences, Faculty of Earth Sciences, 2020-04-29)The purpose of this thesis is to employ remote sensing to study lava flow products during the 2014-2015 eruption at Holuhraun, Iceland. Multimodal remote sensing techniques and datasets were applied and developed for three study themes (1) deriving ... -
(MDPI AG, 2019-02-26)The Holuhraun lava flow was the largest effusive eruption in Iceland for 230 years, with an estimated lava bulk volume of ~1.44 km3 and covering an area of ~84 km2. The six month long eruption at Holuhraun 2014–2015 generated a diverse surface environment. ...
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(MDPI AG, 2020-08-24)Landslide mapping and analysis are essential aspects of hazard and risk analysis. Landslides can block rivers and create landslide-dammed lakes, which pose a significant risk for downstream areas. In this research, we used an object-based image analysis ...
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(University of Iceland, School of Engineering and Natural Sciences, Faculty of Electrical and Computer Engineering, 2023-09)The subject of this thesis is blind hyperspectral unmixing using deep learning based autoencoders. Two methods based on autoencoders are proposed and analyzed. Both methods seek to exploit the spatial correlations in the hyperspectral images to improve ...
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(2022-01-01)Deep learning has shown to be a powerful tool and has heavily impacted the data-intensive field of remote sensing. As a result, the number of published deep learning-based spectral unmixing techniques is proliferating. Blind hyperspectral unmixing (HU) ...
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(Wiley, 2020-09)The temporal and spatial scale of atmospheric turbulence can be highly dynamic, requiring sophisticated methods for adequate detection and monitoring with high resolution. Doppler light detection and ranging (lidar) systems have been widely used to ...
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(MDPI AG, 2018-05-10)We propose to replace traditional spectral index methods by unsupervised spectral unmixing methods for the exploration of large datasets of planetary hyperspectral images. The main goal of this article is to test the ability of these analysis techniques ...
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(Cambridge University Press (CUP), 2019-04-11)Mass-balance measurements of Icelandic glaciers are sparse through the 20th century. However, the large archive of stereo images available allows estimates of glacier-wide mass balance in decadal time steps since 1945. Combined with climate records, ...
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(American Geophysical Union (AGU), 2018-02-22)Lava flow thicknesses, volumes, and effusion rates provide essential information for understanding the behavior of eruptions and their associated deformation signals. Preeruption and posteruption elevation models were generated from historical stereo ...
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(University of Iceland, School of Engineering and Natural Sciences, Faculty of Civil and Environmental Engineering, 2023)Snow resources worldwide are undergoing extensive changes in response to widespread and rapid changing of the global climate. These resources are vital in many areas and changes to them have and will continue to impact human societies and ecosystems ...
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(Iceland Glaciological Society and Geoscience Society of IcelandJöklarannsóknafélags Íslands og Jarðfræðafélags Íslands, 2018)Hekla volcano is known to have erupted at least 23 times in historical time (last 1100 years); often producing mixed eruptions of tephra and lava. The lava flow volumes from the 20th century have amounted 80% to almost 100% of the entire erupted ...
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(Copernicus GmbH, 2019-07-17)This study presents a spatiooral continuous data set for snow cover in Iceland based on the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2018. Cloud cover and polar darkness are the main limiting factors for data availability of ...
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(University of Iceland, School of Engineering and Natural Sciences, Faculty of Electrical and Computer Engineering, 2017-09)In remote sensing, acquired optical images of high spectral resolution have usually a lower spatial resolution than images of lower spectral resolution. This is due to physical, cost and complexity constraints. To make the most of the available imagery, ...
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(MDPI AG, 2020-07-29)Drought has severe impacts on human society and ecosystems. In this study, we used data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) and Tropical Rainfall Measuring Mission (TRMM) sensors to examine the drought effects on ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2020-06)So far, a large number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and analysis. However, locally semantic change, such as scene composition, relative position ...
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(MDPI AG, 2018-06-08)Land cover change detection (LCCD) based on bi-temporal remote sensing images plays an important role in the inventory of land cover change. Due to the benefit of having spatial dependency properties within the image space while using remote sensing ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2020-08)Due to the ever-growing diversity of the data source, multimodality feature learning has attracted more and more attention. However, most of these methods are designed by jointly learning feature representation from multimodalities that exist in both ...
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(Frontiers Media SA, 2020-06-03)To date, most mass balance studies in Iceland have concentrated on the three largest ice caps. This study turns the focus toward smaller Icelandic glaciers, presenting geodetic mass-balance estimates for 14 of them (total area 1,005 km2 in 2017) from ...
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(University of Iceland, School of Engineering and Natural Sciences, Faculty of Earth Sciences, 2018-11-29)The mass balance of a glacier is strongly connected to climate. At high latitudes, mass balance is typically controlled by snow accumulation during the winter and the glacier ablation during the summer. In Iceland, direct mass balance observations ...
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(MDPI AG, 2018-11-15)To improve the performance of land-cover change detection (LCCD) using remote sensing images, this study utilises spatial information in an adaptive and multi-scale manner. It proposes a novel multi-scale object histogram distance (MOHD) to measure the ...
Now showing items 1-20 of 34