Hydrologic Remote Sensing: Capacity Building for Sustainability and Resilience

Environmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing techniques are of particular importance for emerging regions which have inadequate in-situ gauge observations. This book reviews multiple remote sensing observations, the application of remote sensing in hydrological modeling, data assimilation and hydrological capacity building in emerging regions.

[1]  Rolf H. Reichle,et al.  Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS , 2013, Surveys in Geophysics.

[2]  A. Sahoo,et al.  Improving soil moisture retrievals from a physically-based radiative transfer model , 2014 .

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

[4]  R. Koster,et al.  Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR‐E) and the Scanning Multichannel Microwave Radiometer (SMMR) , 2007 .

[5]  Yi Y. Liu,et al.  Trend-preserving blending of passive and active microwave soil moisture retrievals , 2012 .

[6]  Mark S. Seyfried,et al.  Dielectric Loss and Calibration of the Hydra Probe Soil Water Sensor , 2005 .

[7]  Ahmad Al Bitar,et al.  SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia , 2015 .

[8]  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 .

[9]  Thomas R. H. Holmes,et al.  An evaluation of AMSR–E derived soil moisture over Australia , 2009 .

[10]  W. J. Shuttleworth,et al.  COSMOS: the COsmic-ray Soil Moisture Observing System , 2012 .

[11]  Xin Li,et al.  Soil Moisture Estimation by Assimilating L-Band Microwave Brightness Temperature with Geostatistics and Observation Localization , 2015, PloS one.

[12]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[13]  J. Kong,et al.  Theory for passive microwave remote sensing of near‐surface soil moisture , 1977 .

[14]  Rafael Rosolem,et al.  Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources , 2012 .

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

[16]  Randal D. Koster,et al.  Soil Moisture Memory in Climate Models , 2001 .

[17]  Marc B. Parlange,et al.  Natural integration of scalar fluxes from complex terrain , 1999 .

[18]  Jesse,et al.  U.S. Climate Reference Network after One Decade of Operations: Status and Assessment , 2013 .

[19]  Li Li,et al.  Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz , 1999, IEEE Trans. Geosci. Remote. Sens..

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

[21]  Jun Qin,et al.  An Improvement of the Radiative Transfer Model Component of a Land Data Assimilation System and Its Validation on Different Land Characteristics , 2015, Remote. Sens..

[22]  T. Jackson,et al.  Vegetative and Atmospheric Corrections for the Soil Moisture Retrieval from Passive Microwave Remote Sensing Data: Results from the Southern Great Plains Hydrology Experiment 1997 , 2001 .

[23]  R. Koster,et al.  Modeling the land surface boundary in climate models as a composite of independent vegetation stands , 1992 .

[24]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[25]  P. Houser,et al.  Assimilation and downscaling of satellite observed soil moisture over the Little River Experimental Watershed in Georgia, USA , 2013 .

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

[27]  Thomas J. Jackson,et al.  Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment , 1999, IEEE Trans. Geosci. Remote. Sens..

[28]  B. Choudhury,et al.  Effect of surface roughness on the microwave emission from soils , 1979 .

[29]  Wade T. Crow,et al.  Correcting rainfall using satellite‐based surface soil moisture retrievals: The Soil Moisture Analysis Rainfall Tool (SMART) , 2011 .

[30]  Sujay V. Kumar,et al.  Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado , 2012 .

[31]  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 .

[32]  Wade T. Crow,et al.  The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall‐runoff partitioning , 2005 .

[33]  W. Wagner,et al.  Soil moisture from operational meteorological satellites , 2007 .

[34]  G. Evensen.  Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .

[35]  Dennis McLaughlin,et al.  An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering , 2002 .

[36]  T. Jackson,et al.  Using TRMM/TMI to Retrieve Surface Soil Moisture over the Southern United States from 1998 to 2002 , 2006 .

[37]  Wade T. Crow,et al.  Multi‐scale dynamics of soil moisture variability observed during SGP'97 , 1999 .

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

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

[40]  D. McLaughlin,et al.  Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .

[41]  Derek Karssenberg,et al.  The suitability of remotely sensed soil moisture for improving operational flood forecasting , 2013 .

[42]  Klaus Scipal,et al.  Structural and statistical properties of the collocation technique for error characterization , 2012 .

[43]  Dara Entekhabi,et al.  An Ensemble Multiscale Filter for Large Nonlinear Data Assimilation Problems , 2008 .

[44]  T. Jackson,et al.  Improving Satellite-Based Rainfall Accumulation Estimates Using Spaceborne Surface Soil Moisture Retrievals , 2009 .

[45]  Lifeng Luo,et al.  Use of Bayesian Merging Techniques in a Multimodel Seasonal Hydrologic Ensemble Prediction System for the Eastern United States , 2008 .

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

[47]  R. Scott,et al.  Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutrons , 2008 .

[48]  Richard K. Moore,et al.  Radar remote sensing and surface scattering and emission theory , 1986 .

[49]  D. McLaughlin,et al.  Variational data assimilation of soil moisture and temperature from remote sensing observations. , 2000 .

[50]  Wade T. Crow,et al.  Using a Microwave Emission Model to Estimate Soil Moisture from ESTAR Observations during SGP99 , 2004 .

[51]  Rolf Reichle,et al.  Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications , 2001, IEEE Trans. Geosci. Remote. Sens..

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

[53]  Charles Sayward,et al.  A Possible Solution , 1996 .

[54]  B. Choudhury,et al.  Remote sensing of soil moisture content over bare field at 1.4 GHz frequency , 1981 .

[55]  Wade T. Crow,et al.  An objective methodology for merging satellite‐ and model‐based soil moisture products , 2012 .

[56]  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.

[57]  Lifeng Luo,et al.  A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part I: Implementation and Synthetic Experiment , 2009 .

[58]  E. Wood,et al.  Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter , 2006 .

[59]  Xing Yuan,et al.  Microwave remote sensing of short‐term droughts during crop growing seasons , 2015 .

[60]  E. Wood,et al.  Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off‐line simulation of the terrestrial hydrologic cycle , 2007 .

[61]  Lifeng Luo,et al.  An intercomparison of soil moisture fields in the North American Land Data Assimilation System (NLDAS) , 2003 .

[62]  Thomas J. Jackson,et al.  Soil moisture and TRMM microwave imager relationships in the Southern Great Plains 1999 (SGP99) experiment , 2001, IEEE Trans. Geosci. Remote. Sens..

[63]  Wouter Dorigo,et al.  A Preliminary Study toward Consistent Soil Moisture from AMSR2 , 2015 .

[64]  Yann Kerr,et al.  Soil Moisture , 1922, Botanical Gazette.

[65]  Eric F. Wood,et al.  Correction of real-time satellite precipitation with multi-sensor satellite observations of land surface variables , 2015 .

[66]  Ahmad Al Bitar,et al.  An Initial Assessment of SMOS Derived Soil Moisture over the Continental United States , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[67]  Eric F. Wood,et al.  A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part II: Application to Land Surface Modeling with Satellite Rainfall Forcing , 2009 .

[68]  K. Mo,et al.  Model-Based Drought Indices over the United States , 2008 .

[69]  E. Njoku,et al.  Vegetation and surface roughness effects on AMSR-E land observations , 2006 .

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

[71]  T. Schmugge,et al.  An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[72]  Thomas J. Jackson,et al.  Evaporation from Nonvegetated Surfaces: Surface Aridity Methods and Passive Microwave Remote Sensing , 1999 .

[73]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[74]  M. Pan,et al.  Soil Moisture Estimation Using Active and Passive Remote Sensing Techniques , 2016 .

[75]  F. Ulaby,et al.  Active Microwave Soil Moisture Research , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[76]  G. Kitagawa.  Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .

[77]  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..

[78]  A. Robock,et al.  The Global Soil Moisture Data Bank , 2000 .

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

[80]  R. Reichle.  Data assimilation methods in the Earth sciences , 2008 .

[81]  Yi Y. Liu,et al.  Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals , 2011 .

[82]  Budiman Minasny,et al.  Microwave dielectric behavior of wet soils , 2006 .

[83]  Misako Kachi,et al.  INSTRUMENT PERFORMANCE AND CALIBRATION OF AMSR-E AND AMSR2 , 2010 .

[84]  F. Aires,et al.  Triple collocation: Beyond three estimates and separation of structural/non-structural errors , 2014 .