Sökning: "X-band weather radar"

Hittade 3 avhandlingar innehållade orden X-band weather radar.

  1. 1. Advanced Remote Sensing Precipitation Input for Improved Runoff Simulation : Local to regional scale modelling

    Författare :Seyyed Hasan Hosseini; Avdelningen för Teknisk vattenresurslära; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Hydrology; Precipitation; Rainfall; Satellite; Runoff; Streamflow; Rainfall-runoff modelling; X-band weather radar; GPM-IMERG; MODIS Terra;

    Sammanfattning : Accurate precipitation data are crucial for hydrological modelling and rainwater runoff management. Precipitation variability exists through a wide range of spatial and temporal scales and cannot be captured well using sparse rain gauge networks. LÄS MER

  3. 2. Spaceborne Synthetic Aperture Radar for Sea Ice Observations, Concentration and Dynamics

    Författare :Anders Berg; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; synthetic aperture radar; interferometry; satellite; sea ice dynamics; sea ice monitoring; sea ice concentration;

    Sammanfattning : Spaceborne Synthetic Aperture Radar (SAR) is the primary choice for sea ice monitoring due to its all-weather, day-and-night capability and regular delivery of high resolution images. This thesis presents methods for estimation of sea ice concentration and drift, a multi-sensor study of Baltic Sea ice radar signatures and an interferometric study of landfast sea ice. LÄS MER

  4. 3. Modelling and Retrieval of Forest Parameters from Synthetic Aperture Radar Data

    Författare :Maciej Soja; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Synthetic Aperture Radar; biomass estimation; modelling; forest;

    Sammanfattning : Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestrialcarbon stock, mainly forests. The available methods for global forest resource mapping provide onlyrough estimates of biomass, the most relevant practical quantity related to carbon stock. LÄS MER