Title:
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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
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Author:
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Piles Guillem, Maria; Vall-Llossera Ferran, Mercedes Magdalena; Laguna, Laia; Camps Carmona, Adriano José
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
Abstract:
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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). |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica -Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia -Soil moisture -Oceanography -MODIS -SMOS -Soil moisture -brightness temperatures -downscaling -Sòls -- Humitat -Oceanografia |
Rights:
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Document type:
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Article - Published version Conference Object |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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