Satellite Soil Moisture Retrieval: Techniques and Applications

Satellite Soil Moisture Retrieval: Techniques and Applications

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Description

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.

About Author

Dr. Srivastava is working in Hydrological Sciences, NASA Goddard Space Flight Center on SMAP satellite soil moisture retrieval algorithm development, instrumentation and simulation for various applications, and affiliated with IESD, Banaras Hindu University as a faculty. He received his PhD degree from Department of Civil Engineering, University of Bristol, Bristol, UK. He has published 100+ papers in peer-reviewed journals, published 4 books with reputed publishing houses and authored several book chapters and conference papers. Dr. Petropoulos' research work focuses on exploiting Earth Observation (EO) data alone or synergistically with land surface process models in deriving regional estimates of key state variables of the Earth's energy and water budget, including energy fluxes and soil surface moisture. He is also conducting research on the use of remote sensing technology in obtaining information about the land cover and if changes occurred from either anthropogenic activities (e.g. urbanization, mining activity) or natural hazards (mainly floods and fires). In this framework, he is researching and optimizing new image processing techniques to recently launched EO satellites, with a large part of his work focusing on the development and enhancement of EO-based operational products. As part of this research he is also conducting all-inclusive benchmarking studies to EO products or land surface models, including advanced sensitivity analysis techniques.

Contents

Section I Introduction 1. Soil Moisture from Space: Techniques and Limitations Y.H. Kerr, J.-P. Wigneron, A. Al Bitar, A. Mialon and P.K. Srivastava 2. Available Data Sets and Satellites for Terrestrial Soil Moisture Estimation P.K. Srivastava, V. Pandey, S. Suman, M. Gupta and T. Islam Section II Optical and Infrared Techniques & Synergies Between them 3. Soil Moisture Retrievals Using Optical/TIR Methods P. Rahimzadeh-Bajgiran and A. Berg 4. Optical/Thermal-Based Techniques for Subsurface Soil Moisture Estimation M. Holzman and R. Rivas 5. Spatiotemporal Estimates of Surface Soil Moisture from Space Using the Ts/VI Feature Space G.P. Petropoulos, G. Ireland, H. Griffiths, T. Islam, D. Kalivas, V. Anagnostopoulos, C. Hodges and P.K. Srivastava 6. Spatial Downscaling of Passive Microwave Data With Visible-to-Infrared Information for High-Resolution Soil Moisture Mapping M. Piles and N. Sanchez 7. Soil Moisture Retrieved From a Combined Optical and Passive Microwave Approach: Theory and Applications C. Mattar, A. Santamaria-Artigas1, J. A. Sobrino, J.C. Jimenez - Munoz Section III Microwave Soil Moisture Retrieval Techniques 8. Nonparametric Model for the Retrieval of Soil Moisture by Microwave Remote Sensing D.K. Gupta, R. Prasad, P.K. Srivastava and T. Islam 9. Temperature-Dependent Spectroscopic Dielectric Model at 0.05-16 GHz for a Thawed and Frozen Alaskan Organic Soil V. Mironov and I. Savin 10. Active and Passive Microwave Remote Sensing Synergy for Soil Moisture Estimation R. Akbar, N. Das, D. Entekhabi and M. Moghaddam 11. Intercomparison of Soil Moisture Retrievals From In Situ, ASAR, and ECV SM Data Sets Over Different European Sites B. Barrett, C. Pratola, A. Gruber and E. Dwyer Section IV Advanced Applications of Soil Moisture 12. Use of Satellite Soil Moisture Products for the Operational Mitigation of Landslides Risk in Central Italy 13. Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data D. Chaparro, M. Piles and M. Vall-llossera 14. Integrative Use of Near-Surface Satellite Soil Moisture and Precipitation for Estimation of Improved Irrigation Scheduling Parameters M. Gupta, P.K. Srivastava and T. Islam 15. A Comparative Study on SMOS and NLDAS-2 Soil Moistures Over a Hydrological Basin-With Continental Climate 16. Continental Scale Monitoring of Subdaily and Daily Evapotranspiration Enhanced by the Assimilation of Surface Soil Moisture Derived from Thermal Infrared Geostationary Data 17. Soil Moisture Deficit Estimation Through SMOS Soil Moisture and MODIS Land Surface Temperature P.K. Srivastava, T. Islam, S.K. Singh, M. Gupta, George P. Petropoulos, D.K. Gupta, W.Z. Wan Jaafar and R. Prasad Section V Future Challenges in Soil Moisture Retrieval and Applications 18. Soil Moisture Retrievals Based on Active and Passive Microwave Data: State-of-the-Art and Operational Applications J. Munoz-Sabater, A. Al Bitar and L. Brocca 19. Emerging and Potential Future Applications of Satellite-Based Soil Moisture Products E. Tebbs, F. Gerard, A. Petrie and E. De Witte

Product Details

  • ISBN13: 9780128033883
  • Format: Hardback
  • Number Of Pages: 440
  • ID: 9780128033883
  • weight: 820
  • ISBN10: 0128033886

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