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Atmospheric correction of moderate- and high-resolution satellite imagery

Author: Alain Sei; Society of Photo-optical Instrumentation Engineers,
Publisher: Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) : SPIE, 2019.
Series: SPIE spotlight, SL49.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This Spotlight provides a comprehensive overview of atmospheric correction techniques used for the exploitation of satellite imagery over land surfaces. It starts with radiative transfer theory, then derives computationally efficient atmospheric correction algorithms, and finally surveys applications of these algorithms through derived gridded land products, such as vegetation index or albedo products.
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Alain Sei; Society of Photo-optical Instrumentation Engineers,
ISBN: 9781510628304 1510628304
OCLC Number: 1100911754
Notes: Title from PDF title page (SPIE eBooks Website, viewed 2019-05-03).
Description: 1 online resource (viii, 54 pages)
Contents: Preface --
1. Introduction --
2. From the radiative transfer equation to Chandrasekhar's formula: 2.1. Introduction; 2.2. Derivation of the exact solution; 2.3. Diffuse radiance: sum of atmospheric and surface radiances --
3. Atmospheric correction based on Chandrasekhar's formula: 3.1. Atmospheric constituents and their impacts on satellite measurements; 3.2. Standard atmospheric correction based on Chandrasekhar's formula; 3.3. Aerosol retrieval assumptions about surface reflectance; 3.4. Standard atmospheric correction extension for pressure variation --
4. Adjacency effects and their mitigation: 4.1. Introduction; 4.2. Adjacency problem based on the point spread function; 4.3. Neumann series, analytic continuation, and Padé approximants; 4.4. Examples of applications --
5. Applications of atmospheric correction: 5.1. Derived gridded land products: albedo and vegetation index --
6. Conclusions --
7. Appendix A: Notations --
8. Appendix B: Closed form solution derivation --
References.
Series Title: SPIE spotlight, SL49.
Responsibility: Alain Sei.

Abstract:

This Spotlight provides a comprehensive overview of atmospheric correction techniques used for the exploitation of satellite imagery over land surfaces. It starts with radiative transfer theory, then derives computationally efficient atmospheric correction algorithms, and finally surveys applications of these algorithms through derived gridded land products, such as vegetation index or albedo products.

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