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Microwave and optical data fusion for global mapping of soil moisture at high resolution

Author
Portal, G.; Vall-llossera, M.; Piles, M.; Camps, A.; Chaparro, D.; Pablos, M.; Rossato, L.; Aabouch, K.
Type of activity
Presentation of work at congresses
Name of edition
2018 IEEE International Geoscience and Remote Sensing Symposium
Date of publication
2018
Presentation's date
2018-07
Book of congress proceedings
2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain
First page
341
Last page
344
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/IGARSS.2018.8518129
Project funding
Innnovative products and services from microwave sensors, SMOS and Earth Sentinels
On the continuity of L-band satellite missions: new paradigms in products and applications
Unitat d'Excel·lència/'María de Maeztu/': Grup de recerca en Teledetecció, Antenes, Microones i Superconductivitat
Repository
http://hdl.handle.net/2117/129967 Open in new window
URL
https://ieeexplore.ieee.org/document/8518129 Open in new window
Abstract
After more than 8 years in orbit the Soil Moisture and Ocean Salinity (SMOS) satellite is still in good health and several algorithms for improving its spatial resolution have been proposed and validated in a variety of catchments. However, none of them has yet been applied at the global scale. In this article we present: i) a review of the latest SMOS-BEC downscaling algorithm, which allows for its global application using an adaptive moving window and ii) a thorough validation of the resulting...
Citation
Portal, G. [et al.]. Microwave and optical data fusion for global mapping of soil moisture at high resolution. A: IEEE International Geoscience and Remote Sensing Symposium. "2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 341-344.
Keywords
Adaptive moving window, Downscaling, ERA5, In-situ stations, SMOS, Soil moisture
Group of research
CTE-CRAE - Space Science and Technology Research Group
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants