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Ernesto Lopez-Baeza
Researcher at University of Valencia
Publications - 102
Citations - 2306
Ernesto Lopez-Baeza is an academic researcher from University of Valencia. The author has contributed to research in topics: Water content & Radiometer. The author has an hindex of 20, co-authored 96 publications receiving 1767 citations.
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Journal ArticleDOI
Validation of SMAP surface soil moisture products with core validation sites
Andreas Colliander,Thomas J. Jackson,Rajat Bindlish,S. Chan,Narendra N. Das,Seung-Bum Kim,Michael H. Cosh,R. S. Dunbar,Lenny Dang,L. Pashaian,Jun Asanuma,Kentaro Aida,Aaron A. Berg,Tracy Rowlandson,David D. Bosch,Todd G. Caldwell,Kelly K. Caylor,David C. Goodrich,H. K. Al Jassar,Ernesto Lopez-Baeza,José Martínez-Fernández,A. Gonzalez-Zamora,Stan Livingston,H. McNairn,A. Pacheco,Mahta Moghaddam,Carsten Montzka,Claudia Notarnicola,Georg Niedrist,Thierry Pellarin,John H. Prueger,Jouni Pulliainen,Kimmo Rautiainen,J. Ramos,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,Yijian Zeng,R. van der Velde,M. Thibeault,Wouter Dorigo,Mariette Vreugdenhil,Jeffrey P. Walker,Xiaoling Wu,Alessandra Monerris,Peggy O'Neill,Dara Entekhabi,Eni G. Njoku,Simon Yueh +48 more
TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
Journal ArticleDOI
Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements
Rolf H. Reichle,Gabrielle De Lannoy,Qing Liu,Joseph V. Ardizzone,Andreas Colliander,Austin Conaty,Wade T. Crow,Thomas J. Jackson,Lucas A. Jones,John S. Kimball,Randal D. Koster,Sarith Mahanama,Edmond B. Smith,Aaron A. Berg,Simone Bircher,David D. Bosch,Todd G. Caldwell,Michael H. Cosh,A. Gonzalez-Zamora,Chandra Holifield Collins,Karsten Høgh Jensen,Stan Livingston,Ernesto Lopez-Baeza,José Martínez-Fernández,H. McNairn,Mahta Moghaddam,A. Pacheco,Thierry Pellarin,John H. Prueger,Tracy Rowlandson,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,M. Thibeault,Rogier van der Velde,Jeffrey P. Walker,Xiaoling Wu,Yijian Zeng +37 more
TL;DR: The Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model as mentioned in this paper.
Journal ArticleDOI
SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
Roberto Fernandez-Moran,Amen Al-Yaari,Arnaud Mialon,Ali Mahmoodi,Ahmad Al Bitar,Gabrielle De Lannoy,Nemesio Rodriguez-Fernandez,Ernesto Lopez-Baeza,Yann Kerr,Jean-Pierre Wigneron +9 more
TL;DR: An alternative SMOS product that was developed by INRA and CESBIO is presented, which is much simpler and does not account for corrections associated with the antenna pattern and the complex SMOS viewing angle geometry and considers pixels as homogeneous to avoid uncertainties and errors linked to inconsistent auxiliary datasets.
Journal ArticleDOI
The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product
Narendra N. Das,Dara Entekhabi,R. Scott Dunbar,Mario J. Chaubell,Andreas Colliander,Simon Yueh,Thomas Jagdhuber,Fan Chen,W. T. Crow,Peggy O'Neill,Jeffrey P. Walker,Aaron A. Berg,David D. Bosch,Todd G. Caldwell,Michael H. Cosh,Chandra Holifield Collins,Ernesto Lopez-Baeza,M. Thibeault +17 more
TL;DR: In this paper, a high-resolution active-passive soil moisture product was generated by using the C-band SAR data of the SMAP-Sentinel 1A/Sentinel-1B data set.
Journal ArticleDOI
Two-year global simulation of L-band brightness temperatures over land
Thierry Pellarin,Jean-Pierre Wigneron,Jean-Christophe Calvet,M. Berger,Hervé Douville,Paolo Ferrazzoli,Yann Kerr,Ernesto Lopez-Baeza,Jouni Pulliainen,L.P. Simmonds,Philippe Waldteufel +10 more
TL;DR: This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale and constitutes a useful dataset for a first evaluation of the sensitivity of future satellite-based L- band radiometry data to soil moisture.