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A downscaling approach to combine SMOS multi-angular and full-polarimetric observations with MODIS VIS/IR data into high resolution soil moisture maps
dc.contributor.author | Piles Guillem, Maria |
dc.contributor.author | Vall-Llossera Ferran, Mercedes Magdalena |
dc.contributor.author | Laguna, Laia |
dc.contributor.author | Camps Carmona, Adriano José |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2013-04-17T16:20:32Z |
dc.date.created | 2012 |
dc.date.issued | 2012 |
dc.identifier.citation | Piles, M. [et al.]. A downscaling approach to combine SMOS multi-angular and full-polarimetric observations with MODIS VIS/IR data into high resolution soil moisture maps. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2012: International Geoscience and Remote Sensing Symposium". Munich: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 1247-1250. |
dc.identifier.isbn | 978-1-4673-1159-5 |
dc.identifier.uri | http://hdl.handle.net/2117/18857 |
dc.description.abstract | A downscaling algorithmfor SMOS which combines MODIS Visible/Infrared data and SMOS horizontal brightness temperatures at 42.5◦ incidence angle into high-resolution soil moisture maps has been shown to nicely reproduce soil moisture dynamics at a 1 km spatial scale. The core of this algorithm is a linking model that depicts the synergy between SMOS and MODIS observations and their sensitivity to soil moisture. In this work, the impact of adding SMOS observations at horizontal and vertical polarizations and at multiple incidence angles to this linking model has been evaluated using 6 months of observations over the Murrumbidgee catchment, South-East Australia, and a robust alternative formulation is proposed. Results show that adding SMOS observations at multiple incidence angles and both polarizations the algorithm is more stable over time and its minimization error is reduced. By comparing with in situ data, a remarkable improvement of the linear regression between downscaled and in situ data is also observed (slope of 0.95). |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia |
dc.subject.lcsh | Soil moisture |
dc.subject.lcsh | Oceanography |
dc.subject.other | MODIS |
dc.subject.other | SMOS |
dc.subject.other | Soil moisture |
dc.subject.other | brightness temperatures |
dc.subject.other | downscaling |
dc.title | A downscaling approach to combine SMOS multi-angular and full-polarimetric observations with MODIS VIS/IR data into high resolution soil moisture maps |
dc.type | Conference report |
dc.subject.lemac | Sòls -- Humitat |
dc.subject.lemac | Oceanografia |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.identifier.doi | 10.1109/IGARSS.2012.6351316 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6351316 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 11857987 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Piles, M.; Vall-llossera, M.; Laguna, L.; Camps, A. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.pubplace | Munich |
local.citation.publicationName | IGARSS 2012: International Geoscience and Remote Sensing Symposium |
local.citation.startingPage | 1247 |
local.citation.endingPage | 1250 |