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dc.contributorCamps Carmona, Adriano José
dc.contributorAcevo Herrera, René
dc.contributor.authorBosch i Lluis, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-05-09T06:59:40Z
dc.date.available2016-05-09T06:59:40Z
dc.date.issued2010-07-10
dc.identifier.urihttp://hdl.handle.net/2117/86740
dc.descriptionTreball confidencial fins el 19/07/2015
dc.description.abstractThe improvement in weather forecast and climate motorization, to prevent for example natural disasters, requires global scale knowledge of the soil moisture (SM) and the surface salinity (SSS), which are non-existent at present due to the difficulty to carry out in-situ measurements. These parameters influence the heat exchange among land, sea and air. On one hand, thanks to the SM, the amount of water on Earth and the exchange of energy between the land’s surface and the atmosphere can be known. On the other hand, the knowledge of the distribution of the SSS will inform about sea currents and differences between evaporation and precipitation. The quantification of these parameters will contribute to improve the weather forecasts, hydrological studies, vegetation motorization, and risk of forest fires. As part of the program “The living planet programme: Earth Explorer Opportunity Missions”, the European Space Agency (ESA) selected in 1999 the Soil Moisture and Ocean Salinity (SMOS) mission, designed to observe soil moisture over land and salinity over the oceans. It was launched in 2009 and has put in orbit the first microwave imaging radiometer using aperture synthesis. Over the sea, sea surface salinity will be remotely measured by means of L-band (1400-1427 MHz) microwave radiometry. As the brightness temperature also depends on the sea surface temperature and on the sea state, post-processing corrections are needed to get the surface salinity. Over land, soil moisture is retrieved from the changes in the L-band brightness temperature, although post processing correction for surface roughness and vegetation are also required.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshRadiation--Measurement
dc.subject.lcshLocation-based services
dc.titleAcquisition and processing software for an airborne soil moisture mapper LBand radiometer
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacRadiometria
dc.subject.lemacGeolocalització, Serveis de
dc.rights.accessOpen Access
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain