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Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS

Soil Moisture Remote Sensing across Scales

Centre d’Etudes Spatiales de la Biosphère (CESBIO), Université de Toulouse, Centre National d’Etudes Spatiales (CNES), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD), Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91125, USA
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(2), 190;
Received: 11 January 2019 / Accepted: 16 January 2019 / Published: 19 January 2019
(This article belongs to the Special Issue Soil Moisture Remote Sensing Across Scales)
Soil moisture plays an important role in the water, carbon, and energy cycles. We summarize the 13 articles collected in this Special Issue on soil moisture remote sensing across scales in terms of the spatial, temporal, and frequency scales studied. We also review these papers regarding the data, the methods, and the different applications discussed. View Full-Text
Keywords: soil moisture; L-band; passive radiometry; synthetic aperture radar; GNNS soil moisture; L-band; passive radiometry; synthetic aperture radar; GNNS
MDPI and ACS Style

Rodríguez-Fernández, N.; Al Bitar, A.; Colliander, A.; Zhao, T. Soil Moisture Remote Sensing across Scales. Remote Sens. 2019, 11, 190.

AMA Style

Rodríguez-Fernández N, Al Bitar A, Colliander A, Zhao T. Soil Moisture Remote Sensing across Scales. Remote Sensing. 2019; 11(2):190.

Chicago/Turabian Style

Rodríguez-Fernández, Nemesio, Ahmad Al Bitar, Andreas Colliander, and Tianjie Zhao. 2019. "Soil Moisture Remote Sensing across Scales" Remote Sensing 11, no. 2: 190.

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