Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation

[1]  T. Mo,et al.  A model for microwave emission from vegetation‐covered fields , 1982 .

[2]  Richard K. Moore,et al.  Microwave Remote Sensing, Active and Passive , 1982 .

[3]  E. Matthews.  Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies , 1983 .

[4]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[5]  T. Schmugge,et al.  Passive microwave remote sensing system for soil moisture: some supporting research , 1989 .

[6]  A. Stoffelen.  Toward the true near-surface wind speed: Error modeling and calibration using triple collocation , 1998 .

[7]  W. Wagner,et al.  A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .

[8]  T. Jackson,et al.  Ground‐based investigation of soil moisture variability within remote sensing footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment , 1999 .

[9]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[10]  Jeffrey P. Walker,et al.  A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index , 2001, IEEE Trans. Geosci. Remote. Sens..

[11]  Yann Kerr,et al.  Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission , 2001, IEEE Trans. Geosci. Remote. Sens..

[12]  Rajat Bindlish,et al.  Subpixel variability of remotely sensed soil moisture: an inter-comparison study of SAR and ESTAR , 2002, IEEE Trans. Geosci. Remote. Sens..

[13]  Thomas J. Jackson,et al.  Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[14]  Roselyne Lacaze,et al.  Ecoclimap, a global database of land surface parameters at 1km resolution in meteorological and climate models , 2003 .

[15]  R. Lacaze,et al.  A Global Database of Land Surface Parameters at 1-km Resolution in Meteorological and Climate Models , 2003 .

[16]  Naoto Matsuura,et al.  DEVELOPMENT OF AN ADVANCED MICROWAVE SCANNING RADIOMETER (AMSR-E) ALGORITHM FOR SOIL MOISTURE AND VEGETATION WATER CONTENT , 2004 .

[17]  Albert Tarantola,et al.  Inverse problem theory - and methods for model parameter estimation , 2004 .

[18]  Y. Kerr,et al.  L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields , 2007 .

[19]  T. Jackson,et al.  The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN) , 2007 .

[20]  Y. Kerr.  Soil moisture from space: Where are we? , 2007 .

[21]  W. Wagner,et al.  Global Soil Moisture Patterns Observed by Space Borne Microwave Radiometers and Scatterometers , 2008 .

[22]  R. Knight,et al.  Soil Moisture Measurement for Ecological and Hydrological Watershed‐Scale Observatories: A Review , 2008 .

[23]  R. Jeu,et al.  Multisensor historical climatology of satellite‐derived global land surface moisture , 2008 .

[24]  Klaus Scipal,et al.  A possible solution for the problem of estimating the error structure of global soil moisture data sets , 2008 .

[25]  Klaus Scipal,et al.  An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[26]  B. Hurk,et al.  A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System , 2009 .

[27]  Keiji Imaoka,et al.  Improvement of the AMSR-E Algorithm for Soil Moisture Estimation by Introducing a Fractional Vegetation Coverage Dataset Derived from MODIS Data , 2009 .

[28]  Valery L. Mironov,et al.  Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[29]  W. Wagner,et al.  An Intercomparison of ERS-Scat and AMSR-E Soil Moisture Observations with Model Simulations over France , 2009 .

[30]  F. Guichard,et al.  Introduction to the AMMA Special Issue on ‘Advances in understanding atmospheric processes over West Africa through the AMMA field campaign’ , 2010 .

[31]  Jiancheng Shi,et al.  The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.

[32]  Thomas J. Jackson,et al.  Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Kelly Elder,et al.  An Improved Snow Scheme for the ECMWF Land Surface Model: Description and Offline Validation , 2010 .

[34]  Yann Kerr,et al.  The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.

[35]  Christian Heipke,et al.  MULTIPLE-MODEL BASED VERIFICATION OF JAPANESE ROAD DATA , 2010 .

[36]  Yi Y. Liu,et al.  Error characterisation of global active and passive microwave soil moisture datasets. , 2010 .

[37]  Mehrez Zribi,et al.  Towards Validation of SMOS Land Products Using the Synergy Between Models, Airborne and Ground-based Data Over the Valencia Anchor Station. Definition of Matching-up Points to SMOS Observations , 2010 .

[38]  Andrew W. Western,et al.  Towards a general equation for frequency domain reflectometers | NOVA. The University of Newcastle's Digital Repository , 2010 .

[39]  G. Leavesley,et al.  A MODELING FRAMEWORK FOR IMPROVED AGRICULTURAL WATER-SUPPLY FORECASTING , 2010 .

[40]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[41]  Arnaud Mialon,et al.  SMOS CATDS level 3 global products over land , 2010, Remote Sensing.

[42]  Niels Skou,et al.  A soil moisture and temperature network for SMOS validation in Western Denmark , 2011 .

[43]  R. Koster,et al.  Assessment and Enhancement of MERRA Land Surface Hydrology Estimates , 2011 .

[44]  A. Robock,et al.  The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .

[45]  Bruce H. Raup,et al.  EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets , 2012, ISPRS Int. J. Geo Inf..

[46]  Philippe Richaume,et al.  Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[47]  Yann Kerr,et al.  Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[48]  Yann Kerr,et al.  Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S. , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[49]  A. B. Smith,et al.  The Murrumbidgee soil moisture monitoring network data set , 2012 .

[50]  Y. Kerr,et al.  Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations , 2012 .

[51]  José Martínez-Fernández,et al.  Validation of the SMOS L2 Soil Moisture Data in the REMEDHUS Network (Spain) , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[52]  Arnaud Mialon,et al.  The SMOS Soil Moisture Retrieval Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[53]  Lionel Jarlan,et al.  Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model , 2013 .

[54]  Wolfgang Wagner,et al.  Estimating root mean square errors in remotely sensed soil moisture over continental scale domains , 2013 .

[55]  Y. Kerr,et al.  State of the Art in Large-Scale Soil Moisture Monitoring , 2013 .

[56]  John Kochendorfer,et al.  U.S. Climate Reference Network Soil Moisture and Temperature Observations , 2013 .

[57]  Y. Kerr,et al.  Spatial distribution and possible sources of SMOS errors at the global scale , 2013 .

[58]  Jan Vanderborght,et al.  Brightness Temperature and Soil Moisture Validation at Different Scales During the SMOS Validation Campaign in the Rur and Erft Catchments, Germany , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[59]  L. Isaksen,et al.  A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF , 2013 .

[60]  Yann Kerr,et al.  Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[61]  Scott B. Jones,et al.  Evaluation of Standard Calibration Functions for Eight Electromagnetic Soil Moisture Sensors , 2013 .

[62]  J. Eitzinger,et al.  The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications , 2013 .

[63]  Juha Kainulainen,et al.  The SMOS Validation Campaign 2010 in the Upper Danube Catchment: A Data Set for Studies of Soil Moisture, Brightness Temperature, and Their Spatial Variability Over a Heterogeneous Land Surface , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[64]  Emmanuel P. Dinnat,et al.  Aquarius: Status and recent results , 2014 .

[65]  Damien Sulla-Menashe,et al.  A Global Land Cover Climatology Using MODIS Data , 2014 .

[66]  A. Al Bitar,et al.  Global-Scale Comparison of Passive (SMOS) and Active (ASCAT) Satellite Based Microwave Soil Moisture Retrievals with Soil Moisture Simulations (MERRA-Land) , 2014 .

[67]  A. Al Bitar,et al.  Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates , 2014, Remote Sensing of Environment.

[68]  Y. Kerr,et al.  Catchment scale validation of SMOS and ASCAT soil moisture products using hydrological modeling and temporal stability analysis , 2014 .

[69]  Soil moisture and dielectric constant measurements of organic soils in the higher northern latitudes in support of the SMOS mission , 2014 .

[70]  Ahmad Al Bitar,et al.  Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S. , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[71]  Arnaud Mialon,et al.  Global maps of roughness parameters from L-band SMOS observations , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[72]  Michael H. Cosh,et al.  Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network , 2015 .

[73]  J. Ardö,et al.  Ecosystem properties of semiarid savanna grassland in West Africa and its relationship with environmental variability , 2015, Global change biology.

[74]  Seokhyeon Kim,et al.  A global comparison of alternate AMSR2 soil moisture products: Why do they differ? , 2015 .

[75]  Philippe Richaume,et al.  Soil Moisture Retrieval Using Neural Networks: Application to SMOS , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[76]  Arnaud Mialon,et al.  Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[77]  Sonia I. Seneviratne,et al.  Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data , 2015 .

[78]  A. Al Bitar,et al.  SMOS soil moisture product evaluation over West-Africa from local to regional scale , 2015 .

[79]  Manuel Martin-Neira,et al.  SMOS instrument performance and calibration after 6 years in orbit , 2015, IGARSS 2016.

[80]  Philippe Richaume,et al.  Status of Radio Frequency Interference (RFI) in the 1400-1427MHz passive band based on six years of SMOS mission , 2016 .

[81]  N. Verhoest,et al.  ESA's Soil Moisture and Ocean Salinity mission: From science to operational applications , 2016 .

[82]  A. Al Bitar,et al.  Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations , 2016 .

[83]  Robert M. Parinussa,et al.  Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[84]  Philippe Richaume,et al.  SMOS retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates , 2016 .

[85]  Wade T. Crow,et al.  Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.