/ J. -P. Wigneron [et al.] // Remote Sens. Environ. - 2017. -
Vol. 192. - P. 238-262,
DOI 10.1016/j.rse.2017.01.024. - Cited References: 187. - This research work was funded by CNES (Centre National d'Etudes Spatiales) through the Science TOSCA (Terre Océan Surfaces Continentales et Atmosphère) program. The authors wish to thank the three anonymous reviewers for their helpful comments and Sylvie Renaud (IMS) for fruitful discusions.
. - ISSN 0034-4257
Перевод заглавия: Моделирование пассивного микроволнового излучения с наземных поверхностей: обзор последних результатов и применение к алгоритмам восстановления влажности почвы космическими аппаратами SMOS и SMAP в L-диапазоне
Аннотация: Two passive microwave missions are currently operating at L-band to monitor surface soil moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative interferometric technology enabling multi-angular signatures of surfaces to be measured, was launched in November 2009. The SMAP sensor, based on a large mesh reflector 6 m in diameter providing a conically scanning antenna beam with a surface incidence angle of 40°, was launched in January of 2015. Over the last decade, an intense scientific activity has focused on the development of the SM retrieval
algorithms for the two missions. This activity has relied on many field (mainly tower-based) and airborne experimental campaigns, and since 2010–2011, on the SMOS and Aquarius space-borne L-band observations. It has relied too on the use of numerical, physical and semi-empirical models to simulate the microwave brightness temperature of natural scenes for a variety of scenarios in terms of system configurations (polarization, incidence angle) and soil, vegetation and climate conditions. Key components of the inversion models have been evaluated and new parameterizations of the effects of the surface temperature, soil roughness, soil permittivity, and vegetation extinction and scattering have been developed. Among others, global maps of select radiative transfer parameters have been estimated very recently. Based on this intense activity, improvements of the SMOS and SMAP SM inversion
algorithms have been proposed. Some of them have already been implemented, whereas others are currently being investigated. In this paper, we present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches. © 2017 Elsevier Inc.
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Держатели документа: ISPA, INRA Bordeaux, France
USDA, Beltsville, MD, United States
NASA/GSFC, Greenbelt, MD, United States
KULeuven, Heverlee, Belgium
ECMWF, Reading, United Kingdom
Monash University, Australia
University of Rome Tor Vergata, Italy
Kirenski Institute, Krasnoyarsk, Russian Federation
CESBIO, Universite de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
Netherlands Space Office (NSO), The Hague, Netherlands
Mississippi State University, MS, United States
Gamma Remote Sensing and WSL-Birmensdorf, Switzerland
NASA/JPL, Pasadena, CA, United States
CARTEL, University of Sherbrooke, Canada
ESA ESRIN, Roma, Italy
Доп.точки доступа: Wigneron, J. -P.; Jackson, T. J.; O'Neill, P.; De Lannoy, G.; de Rosnay, P.; Walker, J. P.; Ferrazzoli, P.; Mironov, V. L.; Миронов, Валерий Леонидович; Bircher, S.; Grant, J. P.; Kurum, M.; Schwank, M.; Munoz-Sabater, J.; Das, N.; Royer, A.; Al-Yaari, A.; Al Bitar, A.; Fernandez-Moran, R.; Lawrence, H.; Mialon, A.; Parrens, M.; Richaume, P.; Delwart, S.; Kerr, Y.
