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Surface topography and mixed-pixel effects on the simulated L-band brightness temperatures.

dc.contributor.authorTalone, Marco
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorMonerris Belda, Alessandra
dc.contributor.authorVall-Llossera Ferran, Mercedes Magdalena
dc.contributor.authorFerrazzoli, P.
dc.contributor.authorPiles, Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2010-09-27T14:56:07Z
dc.date.available2010-09-27T14:56:07Z
dc.date.created2007-07-31
dc.date.issued2007-07-31
dc.identifier.citationTalone, M.; Camps, A.; Monerris, A.; Vall-llossera, M.; Ferrazzoli, P.; Piles, M. Surface topography and mixed-pixel effects on the simulated L-band brightness temperatures. IEEE Transactions on geoscience and remote sensing, 2003, vol. 45, núm. 7, p. 1996-2003.
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/2117/9111
dc.descriptionThe impact of topography and mixed pixels on L-band radiometric observations over land needs to be quantified to improve the accuracy of soil moisture retrievals. For this purpose, a series of simulations has been performed with an improved version of the Soil Moisture and Ocean Salinity (SMOS) End-to-End Performance Simulator (SEPS). The brightness temperature (TB) generator of SEPS has been modified to include a 100-m-resolution land cover map and a 30-m-resolution digital elevation map of Catalonia (northeast of Spain). This highresolution TB generator allows the assessment of the errors in soil moisture retrieval algorithms due to limited spatial resolution and provides a basis for the development of pixel disaggregation techniques. Variation of the local incidence angle, shadowing, and atmospheric effects (up- and downwelling radiation) due to surface topography has been analyzed. THE AVAILABILITY of high-resolution brightness temperature (TB) maps at L-band is crucial to analyze important issues dealing with bare and vegetation-covered land emission and to develop inversion algorithms in preparation for real Soil Moisture and Ocean Salinity (SMOS) mission data. Mixed-pixel, coastlines, shadowing, and topography effects on the measured brightness temperatures need further study, but the lack of global geophysical data at sufficient temporal and spatial resolution and the large amount of data involved in the generation of high-resolution TB maps on a global basis complicate the issue. In fact, in spite of the existence of global digital elevation models with sufficient spatial resolution, accurate land cover data do not exist for most parts of the world. To address these issues, a series of simulations has been performed with an improved version of the SMOS End-to-End Performance Simulator (SEPS) [1], [2], in which, to date, all points on Earth have been assumed to be at sea level. The study has been done over the region of Catalonia, on the northeastern coast of Spain, because of its many different land cover types, topography, and the presence of a coastline. A 30-m-resolution digital elevation map [3] and a 100-m-resolution land coverage map of Catalonia [4] have been used as inputs, and SEPS has been conveniently modified to generate high-resolution TB maps of this area. A variety of soil and land cover types (crops, bushes, marshes, etc.) have been parameterized using the values obtained from field experiments and literature [5]–[10], [12].
dc.description.abstractThe impact of topography and mixed pixels on L-band radiometric observations over land needs to be quantified to improve the accuracy of soil moisture retrievals. For this purpose, a series of simulations has been performed with an improved version of the soil moisture and ocean salinity (SMOS) end-to-end performance simulator (SEPS). The brightness temperature generator of SEPS has been modified to include a 100-m-resolution land cover map and a 30-m-resolution digital elevation map of Catalonia (northeast of Spain). This high-resolution generator allows the assessment of the errors in soil moisture retrieval algorithms due to limited spatial resolution and provides a basis for the development of pixel disaggregation techniques. Variation of the local incidence angle, shadowing, and atmospheric effects (up- and downwelling radiation) due to surface topography has been analyzed. Results are compared to brightness temperatures that are computed under the assumption of an ellipsoidal Earth.
dc.format.extent1996-2003
dc.language.isoeng
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshBrightness temperature
dc.subject.lcshImage processing
dc.subject.lcshMoisture
dc.subject.lcshTopography
dc.subject.lcshVegetation mapping
dc.subject.lcshRadiometry
dc.subject.lcshSoil moisture
dc.subject.otherL-band radiometry
dc.subject.othermixed pixel
dc.subject.othersimulator
dc.subject.otherSMOS End-to-End Performance Simulator (SEPS)
dc.subject.otherSoil Moisture
dc.subject.othertopography
dc.titleSurface topography and mixed-pixel effects on the simulated L-band brightness temperatures.
dc.typeArticle
dc.subject.lemacImatges -- Processament
dc.subject.lemacHidratació
dc.subject.lemacTopografia
dc.subject.lemacRadiometria
dc.subject.lemacHumitat del sòl
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.rights.accessOpen Access
local.personalitzacitaciotrue


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