Table of Contents

1. Introduction: Remote Sensing and Sensitivity Analysis.- 2. Sensitivity Analysis: Differential Calculus of Models.- 3. Three Approaches to Sensitivity Analysis of Models.- 4. Sensitivity Analysis of Analytic Models: Applications of Differential and Variational Calculus.- 5. Sensitivity Analysis of Analytic Models: Linearization and Adjoint Approaches.- 6. Sensitivity Analysis of Numerical Models.- 7. Sensitivity Analysis of Models with higher-Order Differential Equations.- 8. Applications of Sensitivity Analysis in Remote Sensing.- Appendix Operations with matrices and vectors.- Index.

Reviews

“This book will be of great interest to a wide range of researchers specializing in inverse problems. It provides a new perspective for understanding the fundamental relations between sensitivity analysis and inverse problems. It also can be useful for beginners who wish to learn about the key issues of sensitivity analysis, the formulations of the corresponding linearized and adjoint problems, and practical applications of inverse problems in remote sensing.” (Natesan Barani Balan, Mathematical Reviews, December, 2015)