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The Resource Sensitivity analysis in remote sensing, Eugene A. Ustinov
Sensitivity analysis in remote sensing, Eugene A. Ustinov
Resource Information
The item Sensitivity analysis in remote sensing, Eugene A. Ustinov represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Sensitivity analysis in remote sensing, Eugene A. Ustinov represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 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 higherorder 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 computerefficient 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, from general principles, through formulation of corresponding linearized and adjoint problems, to practical applications to uncertainty analysis and inverse problems in remote sensing. The experts, already active in the field, may find useful the alternative formulations of some key issues of SA, for example, use of individual observables, instead of a widespread use of the cumulative cost function. The book also contains an overview of author's matrix operator approach to formulation of adjoint problems for forward problems based on the higherorder partial differential equations. This approach still awaits its publication in the periodic literature and thus may be of interest to readership across all levels of expertise
 Language
 eng
 Extent
 1 online resource.
 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 higherOrder Differential Equations
 8. Applications of Sensitivity Analysis in Remote Sensing
 Appendix Operations with matrices and vectors
 Index
 Isbn
 9783319158419
 Label
 Sensitivity analysis in remote sensing
 Title
 Sensitivity analysis in remote sensing
 Statement of responsibility
 Eugene A. Ustinov
 Subject

 Earth sciences
 Electronic books
 Geographical information systems (GIS) & remote sensing
 Imaging systems & technology
 Mathematical Applications in the Physical Sciences
 Mathematical Methods in Physics
 Mathematical Modeling and Industrial Mathematics
 Mathematical modelling
 Mathematical physics
 Remote Sensing/Photogrammetry
 Remote sensing
 Remote sensing
 Signal, Image and Speech Processing
 TECHNOLOGY & ENGINEERING  Mechanical
 Earth Sciences
 Earth System Sciences
 Language
 eng
 Summary
 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 higherorder 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 computerefficient 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, from general principles, through formulation of corresponding linearized and adjoint problems, to practical applications to uncertainty analysis and inverse problems in remote sensing. The experts, already active in the field, may find useful the alternative formulations of some key issues of SA, for example, use of individual observables, instead of a widespread use of the cumulative cost function. The book also contains an overview of author's matrix operator approach to formulation of adjoint problems for forward problems based on the higherorder partial differential equations. This approach still awaits its publication in the periodic literature and thus may be of interest to readership across all levels of expertise
 Cataloging source
 N$T
 http://library.link/vocab/creatorName
 Ustinov, Eugene A
 Dewey number
 621.3678
 Index
 index present
 LC call number
 G70.4
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 SpringerBriefs in earth sciences
 http://library.link/vocab/subjectName

 Remote sensing
 TECHNOLOGY & ENGINEERING
 Remote sensing
 Earth Sciences
 Earth System Sciences
 Mathematical Applications in the Physical Sciences
 Remote Sensing/Photogrammetry
 Mathematical Modeling and Industrial Mathematics
 Mathematical Methods in Physics
 Signal, Image and Speech Processing
 Mathematical modelling
 Geographical information systems (GIS) & remote sensing
 Mathematical physics
 Imaging systems & technology
 Earth sciences
 Label
 Sensitivity analysis in remote sensing, Eugene A. Ustinov
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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 higherOrder Differential Equations  8. Applications of Sensitivity Analysis in Remote Sensing  Appendix Operations with matrices and vectors  Index
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9783319158419
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319158419
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (OCoLC)906575165
 (OCoLC)ocn906575165
 Label
 Sensitivity analysis in remote sensing, Eugene A. Ustinov
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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 higherOrder Differential Equations  8. Applications of Sensitivity Analysis in Remote Sensing  Appendix Operations with matrices and vectors  Index
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9783319158419
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319158419
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (OCoLC)906575165
 (OCoLC)ocn906575165
Subject
 Earth sciences
 Electronic books
 Geographical information systems (GIS) & remote sensing
 Imaging systems & technology
 Mathematical Applications in the Physical Sciences
 Mathematical Methods in Physics
 Mathematical Modeling and Industrial Mathematics
 Mathematical modelling
 Mathematical physics
 Remote Sensing/Photogrammetry
 Remote sensing
 Remote sensing
 Signal, Image and Speech Processing
 TECHNOLOGY & ENGINEERING  Mechanical
 Earth Sciences
 Earth System Sciences
Genre
Member of
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