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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

Author
Piles, M.; Vall-llossera, M.; Laguna, L.; Camps, A.
Type of activity
Presentation of work at congresses
Name of edition
IEEE International Geoscience and Remote Sensing Symposium 2012
Date of publication
2012
Presentation's date
2012-07
Book of congress proceedings
IGARSS 2012: International Geoscience and Remote Sensing Symposium: remote science for a dynamic earth: proceedings, 22-27 July 2012 Munich
First page
1247
Last page
1250
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/IGARSS.2012.6351316 Open in new window
Repository
http://hdl.handle.net/2117/18857 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6351316 Open in new window
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 pola...
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.
Keywords
MODIS, SMOS, Soil moisture, brightness temperatures, downscaling
Group of research
RSLAB - Remote Sensing Lab

Participants