ESTIMATING SOIL MOISTURE USING POLSAR DATA: A MACHINE LEARNING APPROACH

Estimating profile soil moisture and groundwater variations using GRACE and Oklahoma Mesonet soil moisture data

[1] In this study we estimate a time series of regional groundwater anomalies by combining terrestrial water storage estimates from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with in situ soil moisture observations from the Oklahoma Mesonet. Using supplementary data from the Department of Energy’s Atmospheric Radiation Measurement (DOE ARM) network, we develop an empi...

Estimating Surface Soil Moisture Using Radarsat-2

Extremes in soil moisture, either too much or too little, present a significant risk to agricultural productivity. Managing and mitigating risk requires information and knowledge to assess risk potential, implement risk reduction strategies and deliver responses to this risk. Synthetic aperture radars (SARs) are sensitive to the dielectric properties of soils and are thus well suited to provide...

Estimating Soil Moisture Profile Dynamics from Near-surface Soil Moisture Measurements and Standard Meteorological Data

Estimating spatial mean soil moisture

Estimating spatial mean root-zone soil moisture from point-scale observations A. J. Teuling, R. Uijlenhoet, F. Hupet, E. E. van Loon, and P. A. Troch Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, The Netherlands Department of Environmental Sciences and Land Use Planning, Université Catholique de Louvain, Louvain-la-Neuve, Belgium Institute for Biodiversit...

An improved approach for estimating observation and model error parameters in soil moisture data assimilation

[1] The accurate specification of observing and/or modeling error statistics presents a remaining challenge to the successful implementation of many land data assimilation systems. Recent work has developed adaptive filtering approaches that address this issue. However, such approaches possess a number of known weaknesses, including a required assumption of serially uncorrelated error in assimi...