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Sensitivity Analysis in Earth Observation Modelling
1st Edition - October 7, 2016
Editors: George P. Petropoulos, Prashant K. Srivastava
Language: English
Paperback ISBN:9780128030110
9 7 8 - 0 - 1 2 - 8 0 3 0 1 1 - 0
eBook ISBN:9780128030318
9 7 8 - 0 - 1 2 - 8 0 3 0 3 1 - 8
Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth obs…Read more
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Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth observation modeling. In this framework, original works concerned with the development or exploitation of diverse methods applied to different types of earth observation data or earth observation-based modeling approaches are included. An overview of sensitivity analysis methods and principles is provided first, followed by examples of applications and case studies of different sensitivity/uncertainty analysis implementation methods, covering the full spectrum of sensitivity analysis techniques, including operational products. Finally, the book outlines challenges and future prospects for implementation in earth observation modeling.
Information provided in this book is of practical value to readers looking to understand the principles of sensitivity analysis in earth observation modeling, the level of scientific maturity in the field, and where the main limitations or challenges are in terms of improving our ability to implement such approaches in a wide range of applications. Readers will also be informed on the implementation of sensitivity/uncertainty analysis on operational products available at present, on global and continental scales. All of this information is vital in the selection process of the most appropriate sensitivity analysis method to implement.
Outlines challenges and future prospects of sensitivity analysis implementation in earth observation modeling
Provides readers with a roadmap for directing future efforts
Includes case studies with applications from different regions around the globe, helping readers to explore strengths and weaknesses of the different methods in earth observation modeling
Presents a step-by-step guide, providing the principles of each method followed by the application of variants, making the reference easy to use and follow
Chapter 6. Field-Scale Sensitivity of Vegetation Discrimination to Hyperspectral Reflectance and Coupled Statistics
1. Introduction
2. Background on Spectral Discrimination of Vegetation
3. Sensitivity of Spectral Discrimination of Vegetation to the Type of Reflectance and Statistical Test
4. Final Remarks
Section 3. Global (or variance)-Based SA Methods: Case Studies
Chapter 7. A Multimethod Global Sensitivity Analysis Approach to Support the Calibration and Evaluation of Land Surface Models
1. Introduction
2. Model and Methods
3. Results
4. Conclusions
Chapter 8. Global Sensitivity Analysis for Supporting History Matching of Geomechanical Reservoir Models Using Satellite InSAR Data: A Case Study at the CO2 Storage Site of In Salah, Algeria
1. Introduction
2. Case Study
3. Methods
4. Application
Summary and Future Work
Chapter 9. Artificial Neural Networks for Spectral Sensitivity Analysis to Optimize Inversion Algorithms for Satellite-Based Earth Observation: Sulfate Aerosol Observations With High-Resolution Thermal Infrared Sounders
1. Introduction
2. Data and Methods
3. Results
4. Conclusions
Chapter 10. Global Sensitivity Analysis for Uncertain Parameters, Models, and Scenarios
1. Introduction
2. Morris Method
3. Sobol' Method
4. Sobol' Method for Multiple Models and Scenarios
5. Synthetic Study With Multiple Scenarios and Models
6. Using Global Sensitivity Analysis for Satellite Data and Models
7. Conclusions and Perspectives
Section 4. Other SA Methods: Case Studies
Chapter 11. Sensitivity and Uncertainty Analyses for Stochastic Flood Hazard Simulation
1. Introduction
2. Basic Principles of Stochastic Approach to Flood Hazard
3. Uncertainty Associated With Stochastically Derived Flood Quantiles
4. Results
5. Effect of Earth Observations on Uncertainty in Probabilistic Flood Estimates
6. Concluding Remarks
Chapter 12. Sensitivity of Wells in a Large Groundwater Monitoring Network and Its Evaluation Using GRACE Satellite Derived Information
1. Introduction
2. Methodology
3. Study Area
4. Results and Discussion
5. Summary and Conclusions
Chapter 13. Making the Most of the Earth Observation Data Using Effective Sampling Techniques
1. Introduction: Looking From Above
2. Data Assimilation
3. Sampling Schemes
4. Bootstrap Sampling
5. Latin Hypercube Sampling
6. Case Study Using Bootstrap Sampling
7. Conclusions
Chapter 14. Ensemble-Based Multivariate Sensitivity Analysis of Satellite Rainfall Estimates Using Copula Model
1. Introduction
2. Satellite Rainfall Estimates
3. Methodology of Ensemble-Based Multivariate Analysis
4. Application (Case Study) and Results
5. Conclusions and Future Directions
Section 5. Software Tools in SA for EO
Chapter 15. Efficient Tools for Global Sensitivity Analysis Based on High-Dimensional Model Representation
1. Introduction
2. High-Dimensional Model Representation
3. Graphical User Interface-High-Dimensional Model Representation Software
4. Applications and Case Studies
5. Summary and Conclusions
Chapter 16. A Global Sensitivity Analysis Toolbox to Quantify Drivers of Vegetation Radiative Transfer Models
1. Introduction
2. Variance-Based Global Sensitivity Analysis
3. Radiative Transfer Models and ARTMO
4. Global Sensitivity Analysis Toolbox
5. Case Studies
6. Discussion
7. Conclusions
Chapter 17. GEM-SA: The Gaussian Emulation Machine for Sensitivity Analysis
1. Bayesian Analysis of Computer Models
2. Gaussian Process Prior Distribution for a Code Output
3. Posterior Distribution After Observing Code Runs
4. Functionality Included Within Gaussian Emulation for Sensitivity Analysis
5. Uncertainty in Emulator Roughness Parameters
6. Using the Gaussian Emulation for Sensitivity Analysis Interface
7. Summary of Inputs/Outputs
8. Case Study: SimSphere
9. Using Gaussian Emulation for Sensitivity Analysis Emulators With Your Own Software
10. Conclusions
Chapter 18. An Introduction to the SAFE Matlab Toolbox With Practical Examples and Guidelines
1. Introduction
2. Structure of the Toolbox
3. Global Sensitivity Analysis Methods and Examples of Application
4. Guidelines for the Implementation of Global Sensitivity Analysis
5. Outlook
Section 6. Challenges and Future Outlook
Chapter 19. Sensitivity in Ecological Modeling: From Local to Regional Scales
1. Introduction
2. Sensitivity in Process-Based Ecological Models
3. Time-Dependent Sensitivity and Its Implications
4. Global Sensitivity Analysis in Social-Ecological Systems
5. Sensitivity of Social-Ecological Models to Land Use Mapping Error
6. Computing Strategy
7. Concluding Remarks
Chapter 20. Challenges and Future Outlook of Sensitivity Analysis
1. Introduction
2. Brief Review of Some Commonly Used Sensitivity Analysis Methods
3. Challenges and Future Outlook
4. Conclusions
Index
No. of pages: 448
Language: English
Edition: 1
Published: October 7, 2016
Imprint: Elsevier
Paperback ISBN: 9780128030110
eBook ISBN: 9780128030318
GP
George P. Petropoulos
Dr. George P. Petropoulos is Assistant Professor in Geoinformatics at the Department of Geography, Harokopio University of Athens Greece. His research focuses on the exploitation of geoinformation technology & geospatial data analysis techniques in geographical and environmental applications. He is author/co-author of over 110 articles, 40 book chapters, and has edited 6 books. He has developed collaborations with key scientists in his area of specialisation globally and his research & teaching work has received international recognition via several significant awards and research funding.
Affiliations and expertise
Assistant Professor of Geoinformatics, Department of Geography, Harokopio University of Athens, Greece
PS
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
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