Search for dissertations about: "Remote sensing of forest"
Showing result 1 - 5 of 66 swedish dissertations containing the words Remote sensing of forest.
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1. Temporal Characteristics of Boreal Forest Radar Measurements
Abstract : Radar observations of forests are sensitive to seasonal changes, meteorological variables and variations in soil and tree water content. These phenomena cause temporal variations in radar measurements, limiting the accuracy of tree height and biomass estimates using radar data. READ MORE
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2. Remote Sensing of Urbanization and Environmental Impacts
Abstract : The unprecedented growth of urban areas all over the globe is nowadays maybe most apparent in China having undergone rapid urbanization since the late 1970s. The need for new residential, commercial and industrial areas leads to new urban regions challenging sustainable development and the maintenance and creation of a high living standard as well as the preservation of ecological functionality. READ MORE
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3. Data assimilation of forest variables predicted from remote sensing data
Abstract : Forest information for management planning is today gathered through a combination of field inventories and remote sensing, but the available flow of remote sensing data over time is not yet utilized for continuously improving predictions of forest variables. In the thesis, the utility of data assimilation, in particular the Extended Kalman filter, for forest variable prediction is investigated. READ MORE
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4. Remote Sensing of Urbanization and Environmental Impacts
Abstract : This thesis aims to establish analytical frameworks to map urban growth patterns with spaceborne remote sensing data and to evaluate environmental impacts through Landscape Metrics and Ecosystem Services. Urbanization patterns at regional scale were evaluated in China's largest urban agglomerations and at metropolitan scale in Shanghai, Stockholm and Beijing using medium resolution optical satellite data. READ MORE
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5. Estimation of Forest Biomass and Faraday Rotation using Ultra High Frequency Synthetic Aperture Radar
Abstract : Synthetic Aperture Radar (SAR) data in the Ultra High Frequency (UHF; 300 MHz – 3 GHz)) band have been shown to be strongly dependent of forest biomass, which is a poorly estimated variable in the global carbon cycle. In this thesis UHF-band SAR data from the fairly flat hemiboreal test site Remningstorp in southern Sweden were analysed. READ MORE