Titlebook: Sensitivity Analysis in Remote Sensing; Eugene A. Ustinov Book 2015 The Author(s) 2015 Adjoint Partial Differential Equations and Sensitiv

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Sensitivity Analysis of Numerical Models,Chap. . using methods of differential calculus and variational calculus. This provided, albeit not rigorous but hopefully still convincing validation of general formulations of the linearization and adjoint approaches formulated in Chap. .. In this chapter, the linearization and adjoint approaches o

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Sensitivity Analysis of Models with Higher-Order Differential Equations, based on higher-order differential equations, such as the Poisson equation or wave equation. While application of the linearization approach to forward problems with these equations poses no substantial problems application of the adjoint approach, which needs formulation of corresponding adjoint p

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Applications of Sensitivity Analysis in Remote Sensing,es, we consider three main areas of applications: the error analyses of input and output parameters and the solution of inverse problems. The error analysis of output parameters with given errors of input parameters is most straightforward. The corresponding algorithm involves, essentially, only mat

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Eugene A. UstinovIncludes supplementary material:

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