Search for dissertations about: "remote sensing geometry"
Showing result 1 - 5 of 12 swedish dissertations containing the words remote sensing geometry.
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1. Factorized Geometrical Autofocus for Synthetic Aperture Radar Processing
Abstract : Synthetic Aperture Radar (SAR) imagery is a very useful resource for the civilian remote sensingcommunity and for the military. This however presumes that images are focused. There are severalpossible sources for defocusing effects. For airborne SAR, motion measurement errors is the maincause. READ MORE
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2. Biomass Retrieval in Topographic Boreal Forest using Polarimetric and Tomographic SAR in P- and L-band
Abstract : Forests and their associated habitats are an integral part of Earth's biosphere and provide essential environmental services. There is an ever present need for accurate and economic monitoring of forest parameters such as biomass - of great interest both locally, for forest management and resource utilization, and globally as it represents stored atmospheric CO2 and one of the largest uncertainties in climate modelling. READ MORE
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3. Tectonic Evolution of the Zagros Suture-and Imbricate Zones in Iraq
Abstract : Orogenic belts are expressions of tectonic activity, often host various natural resources (e.g. petroleum and minerals reserves), and influence the society and environment through hazards (e.g. READ MORE
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4. Glacier-Ocean Interactions in the Arctic : Contemporary calving and frontal melt from field observations, remote sensing, and numerical modelling
Abstract : Globally, glaciers are losing mass as a result of the changing climate, with this mass loss having a considerable societal impact through rising sea levels. Glaciers which terminate in the oceans are particularly vulnerable to changing external conditions as a result of high sensitivity at their marine margins. READ MORE
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5. The spectral reflectance of coniferous tree stands and of barley influenced by stress : an analysis of field measured spectral data
Abstract : This thesis focuses on the spectral signatures for vegetation. Knowledge about the spectral characteristics of different vegetation types is imperative for an efficient use of existing remote sensing systems, and also to provide guidelines for sensor development. READ MORE