Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data

Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data

We present a flexible, integrated statistical-based modeling approach to improve the robustness of soil moisture data predictions. We apply this approach in exploring the consequence of different choices of leading predictors and covariates. Competing models, predictors, covariates and changing spat...

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Bibliographic Details
Main Authors: Reza Hosseini, Nathaniel K. Newlands, Charmaine B. Dean, Akimichi Takemura
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Remote Sensing
Subjects:
agriculture
cross-validation, multi-scale
prediction, RADARSAT
soil moisture
uncertainty
Online Access:http://www.mdpi.com/2072-4292/7/3/2752

Internet

http://www.mdpi.com/2072-4292/7/3/2752

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