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Satellite Soil Moisture Retrieval - 1st Edition - ISBN: 9780128033883, 9780128033890

Satellite Soil Moisture Retrieval

1st Edition

Techniques and Applications

Authors: Prashant K. Srivastava George P. Petropoulos Y.H. Kerr
Hardcover ISBN: 9780128033883
eBook ISBN: 9780128033890
Imprint: Elsevier
Published Date: 13th May 2016
Page Count: 440
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Satellite Soil Moisture Retrieval: Techniques and Applications offers readers a better understanding of the scientific underpinnings, development, and application of soil moisture retrieval techniques and their applications for environmental modeling and management, bringing together a collection of recent developments and rigorous applications of soil moisture retrieval techniques from optical and infrared datasets, such as the universal triangle method, vegetation indices based approaches, empirical models, and microwave techniques, particularly by utilizing earth observation datasets such as IRS III, MODIS, Landsat7, Landsat8, SMOS, AMSR-e, AMSR2 and the upcoming SMAP.

Through its coverage of a wide variety of soil moisture retrieval applications, including drought, flood, irrigation scheduling, weather forecasting, climate change, precipitation forecasting, and several others, this is the first book to promote synergistic and multidisciplinary activities among scientists and users working in the hydrometeorological sciences.

Key Features

  • Demystifies soil moisture retrieval and prediction
  • Links soil moisture retrieval techniques with new satellite missions for earth and environmental science oriented problems
  • Written to be accessible to a wider range of professionals with a common interest in geo-spatial techniques, remote sensing, sustainable water resource development, and earth and environmental issues


Professionals working in Water Resources, Remote sensing & GIS, and Meteorology

Table of Contents

    <li>Dedication</li> <li>List of Contributors</li> <li>Author Biographies</li> <li>Preface<ul><li>Acknowledgments</li><li>About the Cover</li></ul></li> <li>Section I: Introduction<ul><li>Chapter 1: Soil Moisture from Space: Techniques and Limitations<ul><li>Abstract</li><li>1 Introduction</li><li>2 Means of Measuring Soil Moisture</li><li>3 Satellite Missions</li><li>4 Soil Moisture Retrieval From Space Using Passive Microwaves</li><li>5 Way Forward</li><li>6 Caveats</li><li>7 Conclusions and Perspectives</li></ul></li><li>Chapter 2: Available Data Sets and Satellites for Terrestrial Soil Moisture Estimation<ul><li>Abstract</li><li>1 Introduction</li><li>2 In Situ Data Sets for Soil Moisture</li><li>3 Satellite Data Sets for Soil Moisture</li><li>4 Conclusion</li></ul></li></ul></li> <li>Section II: Optical and Infrared Techniques &amp; Synergies Between them<ul><li>Chapter 3: Soil Moisture Retrievals Using Optical/TIR Methods<ul><li>Abstract</li><li>1 Introduction</li><li>2 Optical/TIR Model History and Concept</li><li>3 Optical/TIR Models Used for SM Estimation</li><li>4 Case Study: Estimation of SM Using Optical/TIR RS in the Canadian Prairies</li><li>5 Summary and Future Outlook</li></ul></li><li>Chapter 4: Optical/Thermal-Based Techniques for Subsurface Soil Moisture Estimation<ul><li>Abstract</li><li>1 Introduction</li><li>2 Methodology</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li><li>Chapter 5: Spatiotemporal Estimates of Surface Soil Moisture from Space Using the T<sub>s</sub>/VI Feature Space<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 The T<sub>s</sub>/VI Domain</li><li>3 Experimental Set Up and Data Sets</li><li>4 Methodology</li><li>5 Results</li><li>6 Discussion</li><li>7 Conclusions</li></ul></li><li>Chapter 6: Spatial Downscaling of Passive Microwave Data With Visible-to-Infrared Information for High-Resolution Soil Moisture Mapping<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 A Semiempirical Model to Capture the Synergy of Passive Microwaves With Optical Data at Different Spatial Scales</li><li>3 High-Resolution Soil Moisture Mapping From Space</li><li>4 Airborne Field Experiments</li><li>5 Future Lines and Recommendations</li></ul></li></ul></li> <li>Section III: Microwave Soil Moisture Retrieval Techniques<ul><li>Chapter 7: Soil Moisture Retrieved From a Combined Optical and Passive Microwave Approach: Theory and Applications<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Radiative Transfer Equation</li><li>3 Conclusions</li></ul></li><li>Chapter 8: Nonparametric Model for the Retrieval of Soil Moisture by Microwave Remote Sensing<ul><li>Abstract</li><li>1 Introduction</li><li>2 Material and Methods</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li><li>Chapter 9: Temperature-Dependent Spectroscopic Dielectric Model at 0.05&#x2013;16&#xA0;GHz for a Thawed and Frozen Alaskan Organic Soil<ul><li>Abstract</li><li>1 Introduction</li><li>2 Soil Samples and Measurement Procedures</li><li>3 Concept of a Multirelaxation Spectroscopic Dielectric Model</li><li>4 Retrieving the Parameters of the Multirelaxation Spectroscopic Dielectric Model</li><li>5 The Temperature-Dependent Multirelaxation Spectroscopic Dielectric Model</li><li>6 Evaluation of the TD MRSDM</li><li>7 Conclusions</li></ul></li><li>Chapter 10: Active and Passive Microwave Remote Sensing Synergy for Soil Moisture Estimation<ul><li>Abstract</li><li>1 Introduction</li><li>2 SR CAP Soil Moisture Retrieval</li><li>3 MR CAP Soil Moisture Retrieval</li><li>4 Forward Electromagnetic Scattering and Emission Model Considerations</li><li>5 Further Discussions</li></ul></li><li>Chapter 11: Intercomparison of Soil Moisture Retrievals From In Situ, ASAR, and ECV SM Data Sets Over Different European Sites<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Materials and Methods</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li></ul></li> <li>Section IV: Advanced Applications of Soil Moisture<ul><li>Chapter 12: Use of Satellite Soil Moisture Products for the Operational Mitigation of Landslides Risk in Central Italy<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 PRESSCA Early Warning System</li><li>3 Case Study and Data Sets</li><li>4 Results and Discussion</li><li>5 Conclusions and Future Perspectives</li></ul></li><li>Chapter 13: Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Remotely Sensed Soil Moisture, Climate Change, and Fire Risk</li><li>3 The Role of Soil Moisture in Forest Fires</li><li>4 Linking Remotely Sensed Soil Moisture With Forest Fires Ignition and Propagation</li><li>5 Fire Risk Assessment in the Iberian Peninsula Using SMOS Data</li><li>6 Conclusions</li></ul></li><li>Chapter 14: Integrative Use of Near-Surface Satellite Soil Moisture and Precipitation for Estimation of Improved Irrigation Scheduling Parameters<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Material and Methods</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li><li>Chapter 15: A Comparative Study on SMOS and NLDAS-2 Soil Moistures Over a Hydrological Basin&#x2014;With Continental Climate<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Data and Methodology</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li><li>Chapter 16: Continental Scale Monitoring of Subdaily and Daily Evapotranspiration Enhanced by the Assimilation of Surface Soil Moisture Derived from Thermal Infrared Geostationary Data<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Operational Production of Evapotranspiration Maps Using Geostationary Satellite Observations in Near-Real Time</li><li>3 A New Prototype of the Evapotranspiration Algorithm Constrained by More EO Satellite Data</li><li>4 Gain and Loss of Accuracy in Choosing a New Source for Soil Moisture Input: Validation of the Prototype by Comparison With In Situ Observations</li><li>5 Comparison With the Operational Product</li><li>6 Conclusions</li><li>7 Future Line of Operational Research</li></ul></li><li>Chapter 17: Soil Moisture Deficit Estimation Through SMOS Soil Moisture and MODIS Land Surface Temperature<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Materials and Methodology</li><li>3 Results and Discussion</li><li>4 Conclusions</li></ul></li></ul></li> <li>Section V: Future Challenges in Soil Moisture Retrieval and Applications<ul><li>Chapter 18: Soil Moisture Retrievals Based on Active and Passive Microwave Data: State-of-the-Art and Operational Applications<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 State-of-the-Art Soil Moisture Retrievals and Applications Based on Active Microwave Data</li><li>3 State-of-the-Art Soil Moisture Retrievals and Applications Based on Passive Microwave Data</li><li>4 State-of-the-Art Soil Moisture Analysis for NWP</li><li>5 Caveats in the Prediction of Soil Moisture Retrievals and Its Applications</li><li>6 Future Outlook</li></ul></li><li>Chapter 19: Emerging and Potential Future Applications of Satellite-Based Soil Moisture Products<ul><li>Abstract</li><li>Acknowledgments</li><li>1 Introduction</li><li>2 Potential Future Applications of SM</li><li>3 SM for Addressing Food and Water Security in Africa</li><li>4 Current Limitations and Future Developments</li><li>5 Conclusions</li></ul></li></ul></li> <li>Index</li>


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© Elsevier 2016
13th May 2016
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About the Authors

Prashant K. Srivastava

Prashant K. Srivastava obtained his PhD from the Department of Civil Engineering at the University of Bristol in Bristol, UK, and currently serves on the faculty at the Institute of Environment and Sustainable Development at Banaras Hindu University in Varanasi, India. He formerly worked in the Hydrological Sciences Department at the NASA Goddard Space Flight Center and is currently an investigator for several national and international projects. He has published 100+ papers, many books, and several book chapters. He is also acting as an editorial board member of several reputed journals.

Affiliations and Expertise

Assistant Professor Institute of Environment and Sustainable Development Banaras Hindu University, India

George P. Petropoulos

George P. Petropoulos

George P. Petropoulos obtained his PhD from King’s College London in the United Kingdom. Currently, he is Assistant Professor of Geoinformatics at the Dept. of Geography, Harokopio University of Athens, Greece. He also holds a Marie Curie Fellowship with the School of Mineral Resources Engineering of the Technical University of Crete, Greece (2018-2021). His research focuses on the use of Earth Observation, Geographical Information Systems (GIS), digital cartography, GPS, simulation process models, ground measurement networks in geographical and environmental applications. His main research interests include the mapping of the natural and man-made environment and monitoring of their changes over time, the study of biotic and abiotic hazards and of their spatiotemporal dynamics, the development of geoinformation software tools and use of operational products and applications of geoinformation.

Affiliations and Expertise

Assistant Professor of Geoinformatics, Department of Geography, Harokopio University of Athens, Greece

Y.H. Kerr

Affiliations and Expertise

CESBIO, Toulouse, France

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