Trend-preserving blending of passive and active microwave soil moisture retrievals

doi:10.1016/J.RSE.2012.03.014

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Trend-preserving blending of passive and active microwave soil moisture retrievals

Journal Article•DOI•

Trend-preserving blending of passive and active microwave soil moisture retrievals

Yuqiong Liu, Wouter Dorigo¹, Robert Parinussa², R.A.M. de Jeu², Wolfgang Wagner¹, Matthew F. McCabe³, Jason P. Evans³, A. I. J. M. van Dijk⁴ - Show less +4 more•Institutions (4)

Vienna University of Technology¹, VU University Amsterdam², University of New South Wales³, Commonwealth Scientific and Industrial Research Organisation⁴

01 Aug 2012-Remote Sensing of Environment (Elsevier)-Vol. 123, pp 280-297

TL;DR: In this article, the authors presented an approach for combining four passive microwave products from the VU University Amsterdam/National Aeronautics and Space Administration and two active microwave items from the Vienna University of Technology.

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About: This article is published in Remote Sensing of Environment.The article was published on 2012-08-01. It has received 637 citations till now. The article focuses on the topics: Special sensor microwave/imager & Microwave radiometer.

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Journal Article•DOI•

GLEAM v3: satellite-based land evaporation and root-zone soil moisture

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Brecht Martens¹, Diego G. Miralles², Diego G. Miralles¹, Hans Lievens¹, Hans Lievens³, Robin van der Schalie², Richard de Jeu, Diego Fernández-Prieto⁴, Hylke E. Beck, Wouter Dorigo¹, Wouter Dorigo⁵, Niko E. C. Verhoest¹ - Show less +8 more•Institutions (5)

Ghent University¹, VU University Amsterdam², Goddard Space Flight Center³, European Space Agency⁴, Vienna University of Technology⁵

05 Aug 2016-Geoscientific Model Development

TL;DR: The Global Land Evaporation Amsterdam Model (GLEAM) as discussed by the authors is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data.

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Abstract: . The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1) a revised formulation of the evaporative stress, (2) an optimized drainage algorithm, and (3) a new soil moisture data assimilation system. GLEAM v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980–2015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003–2015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011–2015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land–atmosphere feedbacks.

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1,282 citations

Cites background from "Trend-preserving blending of passiv..."

...3) data set (Liu et al., 2012; Wagner et al., 2012) have been :: are : selected....
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Journal Article•DOI•

ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions

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Wouter Dorigo¹, Wolfgang Wagner¹, Clément Albergel², Franziska Albrecht, Gianpaolo Balsamo³, Luca Brocca⁴, Daniel Chung¹, Martin Ertl, Matthias Forkel¹, Alexander Gruber¹, E. M. Haas, P. D. Hamer, Martin Hirschi⁵, Jaakko Ikonen⁶, Richard de Jeu, R. Kidd¹, William Lahoz, Yi Y. Liu⁷, Diego G. Miralles⁸, Diego G. Miralles⁹, Thomas Mistelbauer¹, Nadine Nicolai-Shaw⁵, Robert Parinussa, Chiara Pratola¹⁰, Chiara Pratola¹¹, Christoph Reimer¹, Robin van der Schalie, Sonia I. Seneviratne⁵, Tuomo Smolander⁶, Pascal Lecomte - Show less +26 more•Institutions (11)

Vienna University of Technology¹, Centre national de la recherche scientifique², European Centre for Medium-Range Weather Forecasts³, National Research Council⁴, ETH Zurich⁵, Finnish Meteorological Institute⁶, Nanjing University of Information Science and Technology⁷, VU University Amsterdam⁸, Ghent University⁹, University College Cork¹⁰, Starlab¹¹

15 Dec 2017-Remote Sensing of Environment

TL;DR: The European Space Agency (ESA) released the first multi-decadal, global satellite-observed soil moisture (SM) dataset as part of its Climate Change Initiative (CCI) program.

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756 citations

Journal Article•DOI•

Multi-decadal trends in global terrestrial evapotranspiration and its components

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Yongqiang Zhang¹, Jorge L. Peña-Arancibia¹, Tim R. McVicar², Tim R. McVicar¹, Francis H. S. Chiew¹, Jai Vaze¹, Changming Liu³, Xingjie Lu¹, Hongxing Zheng¹, Ying-Ping Wang¹, Yi Y. Liu², Diego G. Miralles⁴, Ming Pan⁵ - Show less +9 more•Institutions (5)

Commonwealth Scientific and Industrial Research Organisation¹, University of New South Wales², Chinese Academy of Sciences³, VU University Amsterdam⁴, Princeton University⁵

11 Jan 2016-Scientific Reports

TL;DR: During this period, ET over land has increased significantly, caused by increases in Et and Ei, which are partially counteracted by Es decreasing, and contrasting trends are primarily driven by rises in vegetation leaf area index, dominated by greening.

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Abstract: Evapotranspiration (ET) is the process by which liquid water becomes water vapor and energetically this accounts for much of incoming solar radiation. If this ET did not occur temperatures would be higher, so understanding ET trends is crucial to predict future temperatures. Recent studies have reported prolonged declines in ET in recent decades, although these declines may relate to climate variability. Here, we used a well-validated diagnostic model to estimate daily ET during 1981-2012, and its three components: transpiration from vegetation (Et), direct evaporation from the soil (Es) and vaporization of intercepted rainfall from vegetation (Ei). During this period, ET over land has increased significantly (p < 0.01), caused by increases in Et and Ei, which are partially counteracted by Es decreasing. These contrasting trends are primarily driven by increases in vegetation leaf area index, dominated by greening. The overall increase in Et over land is about twofold of the decrease in Es. These opposing trends are not simulated by most Coupled Model Intercomparison Project phase 5 (CMIP5) models, and highlight the importance of realistically representing vegetation changes in earth system models for predicting future changes in the energy and water cycle.

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463 citations

Journal Article•DOI•

Evaluation of the ESA CCI soil moisture product using ground-based observations

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Wouter Dorigo¹, Alexander Gruber¹, R.A.M. de Jeu², Wolfgang Wagner¹, Tobias Stacke³, Alexander Loew³, Clément Albergel⁴, Luca Brocca⁵, Daniel Chung¹, Robert Parinussa², R. Kidd¹ - Show less +7 more•Institutions (5)

Vienna University of Technology¹, VU University Amsterdam², Max Planck Society³, European Centre for Medium-Range Weather Forecasts⁴, National Research Council⁵

01 Jun 2015-Remote Sensing of Environment

TL;DR: In this paper, the authors evaluated the skill of a new, merged soil moisture product (ECV_SM) that has been developed in the framework of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative projects.

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463 citations

Cites background or methods or result from "Trend-preserving blending of passiv..."

...To verify if this statement holds for the large variety of in-situ data considered in this study, we performed a similar analysis as Liu et al. (2012; 2011) and compared the in-situ evaluation results of ECV_SM to the in-situ evaluation results obtained for the individual contributing products....
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...…the largest improvements in this period, i.e. HOBE, HSC_SELMACHEON, and UDC_SMOS are all located in more Köppen–Geiger Classes that are best sampled for all blending periods by the in-situ sites densely vegetated regions where only active products are used in the blended product (Liu et al., 2012)....
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...This is in line with previous work (Albergel, Dorigo, Reichle, et al., 2013; Brocca et al., 2011; Liu et al., 2012) and is explained by the removal of the seasonal cycle in the anomaly calculation....
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...Liu et al. (2012) showed that even though this procedure affects the absolute soil moisture values, temporal variability and trends of the original datasets are generally well preserved....
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...ECV_SM merged microwave soil moisture The ECV_SM product homogenizes and merges the six microwavebased products listed in the previous sections (De Jeu, Dorigo, Parinussa, Wagner, & Chung, 2012; Liu et al., 2012; Wagner et al., 2012)....
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Journal Article•DOI•

A scPDSI-based global data set of dry and wet spells for 1901–2009

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G. van der Schrier¹, Jonathan Barichivich², Keith R. Briffa², Philip Jones³, Philip Jones² - Show less +1 more•Institutions (3)

Royal Netherlands Meteorological Institute¹, University of East Anglia², King Abdulaziz University³

27 May 2013-Journal of Geophysical Research

TL;DR: In this article, a more physically based Penman-Monteith parameterization for potential evapotranspiration is used, calculated using the actual vegetation cover rather than a reference crop, and seasonal snowpack dynamics are considered in the water balance model.

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Abstract: [1] Global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) have been calculated for the period 1901–2009 based on the CRU TS 31001 data sets This work addresses some concerns with regard to monitoring of global drought conditions using the traditional Palmer Drought Severity Index First, the scPDSI has a similar range of variability in diverse climates making it a more suitable metric for comparing the relative availability of moisture in different regions Second, the more physically based Penman-Monteith parameterization for potential evapotranspiration is used, calculated using the actual vegetation cover rather than a reference crop Third, seasonal snowpack dynamics are considered in the water balance model The leading mode of variability in the new data set represents a trend towards drying conditions in some parts of the globe between 1950 and 1985 but accounts for less than 9% of the total variability Increasing temperature and potential evapotranspiration explain part of the drying trend However, local trends in most of the drying regions are not significant Previously published evidence of unusually strong or widespread drying is not supported by the evidence in this work A fundamental aspect of the calculation of scPDSI is the selection of a calibration period When this period does not include the most recent part of the record, trends towards more extreme conditions are amplified It is shown that this is the principal reason for different published interpretations of the scale of recent global drying and not, as recently claimed, the use of simplified forcing data

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431 citations

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References

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Open Access

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Journal Article•DOI•

The Global Land Data Assimilation System

[...]

Mathew Rodell¹, Paul R. Houser¹, U. Jambor², Jon Gottschalck², Kenneth E. Mitchell, C. J. Meng², Kristi R. Arsenault², B. Cosgrove², J Radakovich², Michael G. Bosilovich¹, Jared Entin², Jeffrey P. Walker³, Dag Lohmann, David Toll¹ - Show less +10 more•Institutions (3)

Goddard Space Flight Center¹, University of Maryland, College Park², University of Melbourne³

01 Mar 2004-Bulletin of the American Meteorological Society

TL;DR: The Global Land Data Assimilation System (GLDAS) as mentioned in this paper is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near-real time (typically within 48 h of the present).

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Abstract: A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes. GLDAS is unique in that it is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near–real time (typically within 48 h of the present). GLDAS is also a test bed for innovative modeling and assimilation capabilities. A vegetation-based “tiling” approach is used to simulate subgrid-scale variability, with a 1-km global vegetation dataset as its basis. Soil and elevation parameters are based on high-resolution global datasets. Observation-based precipitation and downward radiation and output fields from the best available global coupled atmospheric data assimilation systems are employe...

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3,857 citations

"Trend-preserving blending of passiv..." refers background or methods in this paper

...…and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) fields, and observation-based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's Agricultural Meteorological system (Rodell et al., 2004)....
[...]
..., 1999), simulations from GLDAS-1-Noah (Rodell et al., 2004) and in situ measurements....
[...]
...The model is forced by a combination of NOAA/GDAS atmospheric analysis fields, spatially and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) fields, and observation-based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's Agricultural Meteorological system (Rodell et al., 2004)....
[...]
...Soil moisture products used in this study include passive microwave retrievals by VUA-NASA (Owe et al., 2008), active microwave retrievals by TU-Wien (Wagner et al., 1999), simulations from GLDAS-1-Noah (Rodell et al., 2004) and in situ measurements....
[...]
...Apart from the 3-hourly 0.25° Noah simulation, GLDAS-1 also includes the Community Land Model (CLM), Mosaic, the Variable Infiltration Capacity (VIC) and Noah models with 1.0° spatial resolution and monthly temporal interval (Rodell et al., 2004)....
[...]

Book•

Statistical methods in water resources

[...]

Dennis R. Helsel, Robert M. Hirsch

01 Jan 1992

2,811 citations

Journal Article•DOI•

The Soil Moisture Active Passive (SMAP) Mission

[...]

Dara Entekhabi¹, Eni G. Njoku², Peggy O'Neill³, Kent Kellogg², Wade T. Crow⁴, W. Edelstein², Jared Entin, Shawn D Goodman², Thomas J. Jackson⁴, Joel T. Johnson⁵, John S. Kimball⁶, Jeffrey R. Piepmeier³, Randal D. Koster³, Neil R.W. Martin³, Kyle C. McDonald², Mahta Moghaddam⁷, Susan Moran⁸, Rolf H. Reichle³, Jiancheng Shi⁹, Michael W. Spencer², Samuel W Thurman², Leung Tsang¹⁰, Jakob van Zyl² - Show less +19 more•Institutions (10)

Massachusetts Institute of Technology¹, California Institute of Technology², Goddard Space Flight Center³, Agricultural Research Service⁴, Ohio State University⁵, University of Montana⁶, University of Michigan⁷, United States Department of Agriculture⁸, University of California, Santa Barbara⁹, University of Washington¹⁰

06 May 2010

TL;DR: The Soil Moisture Active Passive mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey to make global measurements of the soil moisture present at the Earth's land surface.

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Abstract: The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey SMAP will make global measurements of the soil moisture present at the Earth's land surface and will distinguish frozen from thawed land surfaces Direct observations of soil moisture and freeze/thaw state from space will allow significantly improved estimates of water, energy, and carbon transfers between the land and the atmosphere The accuracy of numerical models of the atmosphere used in weather prediction and climate projections are critically dependent on the correct characterization of these transfers Soil moisture measurements are also directly applicable to flood assessment and drought monitoring SMAP observations can help monitor these natural hazards, resulting in potentially great economic and social benefits SMAP observations of soil moisture and freeze/thaw timing will also reduce a major uncertainty in quantifying the global carbon balance by helping to resolve an apparent missing carbon sink on land over the boreal latitudes The SMAP mission concept will utilize L-band radar and radiometer instruments sharing a rotating 6-m mesh reflector antenna to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every two to three days In addition, the SMAP project will use these observations with advanced modeling and data assimilation to provide deeper root-zone soil moisture and net ecosystem exchange of carbon SMAP is scheduled for launch in the 2014-2015 time frame

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2,474 citations

Journal Article•DOI•

Soil moisture retrieval from AMSR-E

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Eni G. Njoku¹, Thomas J. Jackson², V. Lakshmi³, T.K. Chan¹, Son V. Nghiem¹ - Show less +1 more•Institutions (3)

California Institute of Technology¹, Agricultural Research Service², University of South Carolina³

29 Apr 2003-IEEE Transactions on Geoscience and Remote Sensing

TL;DR: The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals, which will provide evaluations of the retrieved soil moisture and enable improved hydrologic applications of the data.

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Abstract: The Advanced Microwave Scanning Radiometer (AMSR-E) on the Earth Observing System (EOS) Aqua satellite was launched on May 4, 2002. The AMSR-E instrument provides a potentially improved soil moisture sensing capability over previous spaceborne radiometers such as the Scanning Multichannel Microwave Radiometer and Special Sensor Microwave/Imager due to its combination of low frequency and higher spatial resolution (approximately 60 km at 6.9 GHz). The AMSR-E soil moisture retrieval approach and its implementation are described in this paper. A postlaunch validation program is in progress that will provide evaluations of the retrieved soil moisture and enable improved hydrologic applications of the data. Key aspects of the validation program include assessments of the effects on retrieved soil moisture of variability in vegetation water content, surface temperature, and spatial heterogeneity. Examples of AMSR-E brightness temperature observations over land are shown from the first few months of instrument operation, indicating general features of global vegetation and soil moisture variability. The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals.

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1,387 citations

"Trend-preserving blending of passiv..." refers background or methods in this paper

...Various retrieval algorithms have been developed for surface soil moisture estimation from microwave satellite observations (e.g., Jackson et al., 2002; Njoku et al., 2003; Owe et al., 2008; Wagner et al., 1999; Wen & Su, 2003)....
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...Passive and active microwave satellites have been shown to provide useful retrievals of near-surface soil moisture variations at regional and global scales (e.g., Hutchinson, 2003; Jackson et al., 2002; Lakshmi et al., 1997; McCabe et al., 2005; Njoku et al., 2003; Owe et al., 2008; Pellarin et al., 2009; Shi et al., 2010; Wagner et al., 1999, 2003)....
[...]
...…to provide useful retrievals of near-surface soil moisture variations at regional and global scales (e.g., Hutchinson, 2003; Jackson et al., 2002; Lakshmi et al., 1997; McCabe et al., 2005; Njoku et al., 2003; Owe et al., 2008; Pellarin et al., 2009; Shi et al., 2010; Wagner et al., 1999, 2003)....
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Journal Article•DOI•

A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data

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Wolfgang Wagner¹, Guido Lemoine, Helmut Rott²•Institutions (2)

Vienna University of Technology¹, University of Innsbruck²

01 Nov 1999-Remote Sensing of Environment

TL;DR: In this paper, the potential of using ERS scatterometer data for soil moisture monitoring over the Ukraine is investigated and a simple method is developed to relate the surface estimates with the profile soil moisture content.

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1,072 citations

"Trend-preserving blending of passiv..." refers background or methods in this paper

...Soil moisture estimates are provided by a change detection algorithm originally developed for SCAT onboard ERS (Wagner et al., 1999) and applied to ASCAT with minor adaptations (Naeimi et al....
[...]
...Soil moisture products used in this study include passive microwave retrievals by VUA-NASA (Owe et al., 2008), active microwave retrievals by TU-Wien (Wagner et al., 1999), simulations from GLDAS-1-Noah (Rodell et al., 2004) and in situ measurements....
[...]
...The change detection algorithm developed by Vienna University of Technology (TU-Wien) has been applied on ERS-1/2 and ASCAT (Bartalis et al., 2007; Wagner et al., 1999) and provides a global satellite-based active microwave soil moisture product from early 1991 onward....
[...]
...Soil moisture estimates are provided by a change detection algorithm originally developed for SCAT onboard ERS (Wagner et al., 1999) and applied to ASCAT with minor adaptations (Naeimi et al., 2009)....
[...]
...…to provide useful retrievals of near-surface soil moisture variations at regional and global scales (e.g., Hutchinson, 2003; Jackson et al., 2002; Lakshmi et al., 1997; McCabe et al., 2005; Njoku et al., 2003; Owe et al., 2008; Pellarin et al., 2009; Shi et al., 2010; Wagner et al., 1999, 2003)....
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