rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Sensitivity Analysis in Remote Sensing
  name:
    name part: Ustinov, Eugene A.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 128 p. 2 illus. online resource.
  abstract: This book contains a detailed presentation of general principles of sensitivity analysis as well as their applications to sample cases of remote sensing experiments. An emphasis is made on applications of adjoint problems, because they are more efficient in many practical cases, although their formulation may seem counterintuitive to a beginner. Special attention is paid to forward problems based on higher-order partial differential equations, where a novel matrix operator approach to formulation of corresponding adjoint problems is presented. Sensitivity analysis (SA) serves for quantitative models of physical objects the same purpose, as differential calculus does for functions. SA provides derivatives of model output parameters (observables) with respect to input parameters. In remote sensing SA provides computer-efficient means to compute the jacobians, matrices of partial derivatives of observables with respect to the geophysical parameters of interest. The jacobians are used to solve corresponding inverse problems of remote sensing. They also play an important role already while designing the remote sensing experiment, where they are used to estimate the retrieval uncertainties of the geophysical parameters with given measurement errors of the instrument, thus providing means for formulations of corresponding requirements to the specific remote sensing instrument. If the quantitative models of geophysical objects can be formulated in an analytic form, then sensitivity analysis is reduced to differential calculus. But in most cases, the practical geophysical models used in remote sensing are based on numerical solutions of forward problems – differential equations with initial and/or boundary conditions. As a result, these models cannot be formulated in an analytic form and this is where the methods of SA become indispensable. This book is intended for a wide audience. The beginners in remote sensing could use it as a single source, covering key issues of SA, f…
  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.
  note: by Eugene A. Ustinov.
  subject:
    topic: Earth sciences
  subject:
    topic: Physical geography
  subject:
    topic: Remote sensing
  subject:
    topic: Mathematical physics
  subject:
    topic: Mathematical models
  subject:
    topic: Physics
  subject:
    topic: Earth Sciences
  subject:
    topic: Earth System Sciences
  subject:
    topic: Mathematical Applications in the Physical Sciences
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Mathematical Methods in Physics
  subject:
    topic: Signal, Image and Speech Processing
  classification: GB3-5030
  classification: 550
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Earth Sciences
  identifier: 9783319158419
  identifier: http://dx.doi.org/10.1007/978-3-319-15841-9
  record info:
    record creation date: 150401
    record change date: 20151030051255.0
    record identifier: 978-3-319-15841-9