Satellite soil moisture retrieval : techniques and applications / [electronic resource]
by Srivastava, Prashant K; Petropoulos, George P; Kerr, Yann H.
Material type: BookPublisher: Amsterdam, Netherlands : Elsevier, 2016Description: 1 online resource.ISBN: 0128033894; 9780128033890; 0128033886; 9780128033883.Subject(s): Soil moisture | TECHNOLOGY & ENGINEERING -- Agriculture -- General | Soil moisture | Electronic booksOnline resources: ScienceDirectPrint version record.
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.
Includes index.
Includes bibliographical references and index.
Spatial Downscaling of Passive Microwave Data With Visible-to-Infrared Information for High-Resolution Soil Moisture Mapping M. Piles and N. S�anchez 7. Soil Moisture Retrieved From a Combined Optical and Passive Microwave Approach: Theory and Applications C. Mattar, A. Santamar�ia-Artigas1, J.A. Sobrino, J.C. Jim�enez -- Mu�noz 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.
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