A novel downscaling methodology for intermediate resolution radiometer data for SMAP

A novel downscaling methodology for intermediate spatial resolution radiometer data is developed in view of forthcoming SMAP mission. It is based on an active and a passive microwave forward model coupled by its ancillary parameters. The combined active/passive model introduced in this work yields b...

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Autores principales: Bruscantini, C.A., Grings, F.M., Barber, M., Franco, M., Entekhabi, D., Karszenbaum, H.
Formato: CONF
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814799_v2015-November_n_p1972_Bruscantini
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spelling todo:paper_97814799_v2015-November_n_p1972_Bruscantini2023-10-03T16:43:35Z A novel downscaling methodology for intermediate resolution radiometer data for SMAP Bruscantini, C.A. Grings, F.M. Barber, M. Franco, M. Entekhabi, D. Karszenbaum, H. downscaling Radar radiometer SMAP soil moisture A novel downscaling methodology for intermediate spatial resolution radiometer data is developed in view of forthcoming SMAP mission. It is based on an active and a passive microwave forward model coupled by its ancillary parameters. The combined active/passive model introduced in this work yields backscatter and emission observations relation consistent with Aquarius/SAC-D observations and with what it has been reported in previous papers. Furthermore, merging spatial resolution between radar-derived and radiometer-based brightness temperature (Tb) is performed in a least-square framework. Methodology is tested using a synthetic numerical simulation example which showed that this approach leads to an increase of downscaled Tb accuracy. © 2015 IEEE. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97814799_v2015-November_n_p1972_Bruscantini
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic downscaling
Radar
radiometer
SMAP
soil moisture
spellingShingle downscaling
Radar
radiometer
SMAP
soil moisture
Bruscantini, C.A.
Grings, F.M.
Barber, M.
Franco, M.
Entekhabi, D.
Karszenbaum, H.
A novel downscaling methodology for intermediate resolution radiometer data for SMAP
topic_facet downscaling
Radar
radiometer
SMAP
soil moisture
description A novel downscaling methodology for intermediate spatial resolution radiometer data is developed in view of forthcoming SMAP mission. It is based on an active and a passive microwave forward model coupled by its ancillary parameters. The combined active/passive model introduced in this work yields backscatter and emission observations relation consistent with Aquarius/SAC-D observations and with what it has been reported in previous papers. Furthermore, merging spatial resolution between radar-derived and radiometer-based brightness temperature (Tb) is performed in a least-square framework. Methodology is tested using a synthetic numerical simulation example which showed that this approach leads to an increase of downscaled Tb accuracy. © 2015 IEEE.
format CONF
author Bruscantini, C.A.
Grings, F.M.
Barber, M.
Franco, M.
Entekhabi, D.
Karszenbaum, H.
author_facet Bruscantini, C.A.
Grings, F.M.
Barber, M.
Franco, M.
Entekhabi, D.
Karszenbaum, H.
author_sort Bruscantini, C.A.
title A novel downscaling methodology for intermediate resolution radiometer data for SMAP
title_short A novel downscaling methodology for intermediate resolution radiometer data for SMAP
title_full A novel downscaling methodology for intermediate resolution radiometer data for SMAP
title_fullStr A novel downscaling methodology for intermediate resolution radiometer data for SMAP
title_full_unstemmed A novel downscaling methodology for intermediate resolution radiometer data for SMAP
title_sort novel downscaling methodology for intermediate resolution radiometer data for smap
url http://hdl.handle.net/20.500.12110/paper_97814799_v2015-November_n_p1972_Bruscantini
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