Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain
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Títol
Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, SpainAutoria
Data de publicació
2021-12-19Editor
Taylor and FrancisISSN
2150-704XCita bibliogràfica
Carbó, E.; Juan, P.; Añó, C.; Chaudhuri, S.; Diaz-Avalos, C.; López-Baeza, E. Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain. Remote Sens. 2021, 13, 5155. https://doi.org/10.3390/rs13245155Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
The prediction of spatial and temporal variation of soil water content brings numerous
benefits in the studies of soil. However, it requires a considerable number of covariates to be included
in the study, complicating ... [+]
The prediction of spatial and temporal variation of soil water content brings numerous
benefits in the studies of soil. However, it requires a considerable number of covariates to be included
in the study, complicating the analysis. Integrated nested Laplace approximations (INLA) with
stochastic partial differential equation (SPDE) methodology is a possible approach that allows the
inclusion of covariates in an easy way. The current study has been conducted using INLA-SPDE
to study soil moisture in the area of the Valencia Anchor Station (VAS), soil moisture validation
site for the European Space Agency SMOS (Soil Moisture and Ocean Salinity). The data used were
collected in a typical ecosystem of the semiarid Mediterranean conditions, subdivided into physiohydrological units (SMOS units) which presents a certain degree of internal uniformity with respect
to hydrological parameters and capture the spatial and temporal variation of soil moisture at the
local fine scale. The paper advances the knowledge of the influence of hydrodynamic properties
on VAS soil moisture (texture, porosity/bulk density and soil organic matter and land use). With
the goal of understanding the factors that affect the variability of soil moisture in the SMOS pixel
(50 km × 50 km), five states of soil moisture are proposed. We observed that the model with all
covariates and spatial effect has the lowest DIC value. In addition, the correlation coefficient was
close to 1 for the relationship between observed and predicted values. The methodology applied
presents the possibility to analyze the significance of different covariates having spatial and temporal
effects. This process is substantially faster and more effective than traditional kriging. The findings
of this study demonstrate an advancement in that framework, demonstrating that it is faster than
previous methodologies, provides significance of individual covariates, is reproducible, and is easy
to compare with models. [-]
Publicat a
Remote Sens. 2021, 13, 5155.Entitat finançadora
at the Valencia Anchor Station Reference Area. | Spanish Ministry for Science and Innovation | Spanish Ministry for Economy and Competitiveness
Codi del projecte o subvenció
ESA SMOS Cal/Val A.O. ID 3252 | (MIDAS-5/UVEG)
Títol del projecte o subvenció
Validation of SMOS Products over Mediterranean Ecosystem Vegetation
Drets d'accés
info:eu-repo/semantics/openAccess
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