Essays about: "synthetic aperture radar sar"
Showing result 11 - 15 of 56 essays containing the words synthetic aperture radar sar.
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11. Usability of Sentinel-1 C-band VV and VH SAR data for the detection of flooded oil palm
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Flooding in oil palm plantations in Southeast Asia is a common problem. The oil palm’s habitable range is restricted to lowland equatorial areas, and the high rainfall and degraded landscapes associated with oil palm cultivation leaves oil palm prone to flooding. READ MORE
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12. Investigation of Registration Methods for High Resolution SAR-EO Imagery
University essay from Linköpings universitet/DatorseendeAbstract : With advancements in space technology, remote sensing applications, and computer vision, significant improvements in the data describing our planet are seen today. Researchers want to gather different kinds of data and perform data fusion techniques between them to increase our understanding of the world. READ MORE
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13. Seasonal permafrost subsidence monitoring in Tavvavuoma (Sweden) and Chersky (Russia) using Sentinel-1 data and the SBAS stacking technique
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : Permafrost deformation is expected to increase due to climatic perturbations such as amplified air and soil temperatures, resulting in permafrost thawing and subsequent subsidence. Palsas and peat plateaus are uplifted ice-rich peat mounds that experience permafrost subsidence. READ MORE
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14. Evaluation of a change detection approach to map global flood extents using Sentinel-1
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Floods are the most frequent disaster in the world and flood exposure is increasing globally. Flood mapping of past events can be a useful aid in not only disaster risk management, but also in evaluating and validating global flood models (GFMs) which are being used to assess and predict these floods. READ MORE
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15. Creating a semantic segmentationmachine learning model for sea icedetection on radar images to study theThwaites region
University essay from Luleå tekniska universitet/RymdteknikAbstract : This thesis presents a deep learning tool able to identify ice in radar images fromthe sea-ice environment of the Twhaites glacier outlet. The project is motivatedby the threatening situation of the Thwaites glacier that has been increasingits mass loss rate during the last decade. READ MORE