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Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation

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Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation

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Echeverria, C.; Ruiz Perez, G.; Puertes-Castellano, C.; Samaniego. L.; Barrett, B.; Francés, F. (2019). Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation. Water. 11(12):1-19. https://doi.org/10.3390/w11122613

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/140501

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Title: Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation
Author: Echeverria, Carlos Ruiz Perez, Guiomar Puertes-Castellano, Cristina Samaniego. L. Barrett, B. Francés, F.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
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Abstract:
[EN] The aim of this study was to implement an eco-hydrological distributed model using only remotely sensed information (soil moisture and leaf area index) during the calibration phase. Four soil moisture-based metrics ...[+]
Subjects: Eco-hydrological modelling , Remotely sensed soil moisture , Objective-function , Spatial correlation
Copyrigths: Reconocimiento (by)
Source:
Water. (issn: 2073-4441 )
DOI: 10.3390/w11122613
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/w11122613
Thanks:
The study was supported by the Spanish projects TETIS-MED (CGL2014-58127-C3-3-R) and TETIS-CHANGE (RTI2018-093717-B-100), the European project iAqueduct and the Paraguayan Funding Program BECAL.
Type: Artículo

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