Satellite-based observations of hydrological processes

This special issue of the International Journal of Remote Sensing is based on papers presented in a special session at the American Geophysical Union (AGU) 2008 Fall Meeting in San Francisco. The session consisted of 85 contributions from the research, operational and user communities that addressed various applications of remote sensing observations in the development, improvement, validation and use of hydrological models. Of the papers presented, 15 were eventually selected for publication. They cover a range of applications of remote sensing in hydrological study and have been loosely assembled into three categories, focusing on (a) hydrological state variables, (b) moisture fluxes and (c) water storage and surface water budget.

[1]  Dennis P. Lettenmaier,et al.  Hydrology: Water from on high , 2006, Nature.

[2]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

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[4]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[5]  C. Prabhakara,et al.  A TRMM Microwave Radiometer Rain Rate Estimation Method with Convective and Stratiform Discrimination , 2000 .

[6]  Evaluating terrestrial water storage variations from regionally constrained GRACE mascon data and hydrological models over Southern Africa – preliminary results , 2010 .

[7]  Thomas H. Painter,et al.  Retrieval of subpixel snow covered area, grain size, and albedo from MODIS , 2009 .

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[10]  Qiuhong Tang,et al.  Estimating the water budget of major US river basins via remote sensing , 2010 .

[11]  Michael Durand,et al.  Please Scroll down for Article International Journal of Remote Sensing Characterization of Surface Water Storage Changes in Arctic Lakes Using Simulated Swot Measurements Characterization of Surface Water Storage Changes in Arctic Lakes Using Simulated Swot Measurements , 2022 .

[12]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

[13]  Chung-Yen Kuo,et al.  Application of retracked satellite altimetry for inland hydrologic studies , 2010 .

[14]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[15]  Sadiq I. Khan,et al.  Development and evaluation of an actual evapotranspiration estimation algorithm using satellite remote sensing and meteorological observational network in Oklahoma , 2010 .

[16]  D. Entekhabi,et al.  Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment , 2001 .

[17]  J. R. Stitt,et al.  Improved estimates of the areal extent of snow cover from AVHRR data , 1998 .

[18]  D. Lettenmaier,et al.  Use of satellite snow-cover data for streamflow prediction in the Feather River Basin, California , 2010 .

[19]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[20]  Dennis P. Lettenmaier,et al.  The need for global, satellite‐based observations of terrestrial surface waters , 2003 .

[21]  D. Lettenmaier,et al.  Measuring surface water from space , 2004 .

[22]  Andrew N. French,et al.  Land cover characterization for hydrological modelling using thermal infrared emissivities , 2010 .

[23]  Debbie Clifford,et al.  Global estimates of snow water equivalent from passive microwave instruments: history, challenges and future developments , 2010 .

[24]  Y. Liou,et al.  Evaluation of surface heat fluxes in Chiayi plain of Taiwan by remotely sensed data , 2010 .

[25]  Jiancheng Shi,et al.  The development of HJ SAR soil moisture retrieval algorithm , 2010 .

[26]  Z. Su.  The Surface Energy Balance System ( SEBS ) for estimation of turbulent heat fluxes , 2002 .

[27]  Dorothy K. Hall,et al.  Evaluating the utility of the ANSA blended snow cover product in the mountains of eastern Turkey , 2010 .

[28]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[29]  C. Birkett,et al.  The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes , 1995 .

[30]  He Chen,et al.  Estimation of evapotranspiration using a remote sensing model over agricultural land in the North China Plain , 2010 .

[31]  Yang Hong,et al.  Please Scroll down for Article International Journal of Remote Sensing Evaluation of a Satellite-based Global Flood Monitoring System Evaluation of a Satellite-based Global Flood Monitoring System , 2022 .

[32]  S. Swenson,et al.  Estimated accuracies of regional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE) , 2003 .

[33]  T. Oki,et al.  Dynamics of terrestrial water storage change from satellite and surface observations and modeling. , 2010 .

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

[35]  Y. Hong,et al.  Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System , 2004 .

[36]  Y. Hong,et al.  Developmentevaluation of an actual evapotranspiration estimation algorithm using satellite remote sensingmeteorological observational network in Oklahoma , 2010 .

[37]  Eric F. Wood,et al.  Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA , 2010 .

[38]  Heather McNairn,et al.  Evaluation of soil moisture derived from passive microwave remote sensing over agricultural sites in Canada using ground-based soil moisture monitoring networks , 2010 .

[39]  Robert J. Kuligowski,et al.  A Self-Calibrating Real-Time GOES Rainfall Algorithm for Short-Term Rainfall Estimates , 2002 .

[40]  D. Lettenmaier,et al.  Satellite‐based near‐real‐time estimation of irrigated crop water consumption , 2009 .