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.
- 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
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.
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. - 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
Autorentext
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.
Klappentext
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.
- 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
Inhalt
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. Sánchez
7. Soil Moisture Retrieved From a Combined Optical and
Passive Microwave Approach: Theory and Applications
C. Mattar, A. Santamaría-Artigas1, J. A. Sobrino, J.C. Jiménez - Muñoz
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 …