Terrestrial Radiative Transfer: Modeling, Computation, and Data Analysis

Natsuyama, Harriet H.; Ueno, Sueo; Wang, Alan P.

ISBN 10: 4431702067 / ISBN 13: 9784431702061

Edité par Springer, 1998

A propos de cet article

US SELLER SHIPS FAST FROM USA. SHRINKWRAPPED NEW: TERRESTRIAL RADIATIVE TRANSFER: MODELLING, COMPUT. 19898 PB Terrestrial Radiative Transfer: Modeling, Computation, and Data Analysis by Harriet H. Natsuyama (Author), Sueo Ueno (Author), Alan P. Wang (Author) OUR REFERENCE: 112C11-4431702067-PB-1Pt2-lb-Red DESCRIPTION A modern treatment of both direct and inverse problems applicable to the remote sensing of earth from space or from the air. Starting from a physical description of the process, the authors develop innovative mathematical models, fundamental mathematics for the analysis of these models, and methods for obtaining computational solutions. They also include the results of recent research using this approach, such as invariant imbedding techniques, associative memory artificial neural networks, and the automatic evaluation of derivatives. With its coverage of uniform parallel illumination, internal sources, and incident spotlight beams, this book is indispensable for researchers working to reduce the atmospheric distortion of remotely sensed terrestrial images. Product details Publisher ‏ : ‎ Springer (May 15, 1998) Language ‏ : ‎ English Paperback ‏ : ‎ 279 pages ISBN-10 ‏ : ‎ 4431702067 ISBN-13 ‏ : ‎ 978-4431702061.

N° de réf. du vendeur DOM-112C11-4431702067-PB-1Pt2-lb-Red

Détails bibliographiques

• Titre: Terrestrial Radiative Transfer: Modeling, Computation, and Data Analysis
• Éditeur: Springer
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 4431702067
• ISBN à 13 chiffres: 9784431702061
• Reliure: Soft cover
• État de l'article: New

A propos de ce titre

Synopsis

This book analyses radiative transfer through the atmosphere. Innovative mathematical models and computational techniques are explained to solve the basic problem of how to interpret data about the earth's surface captured by satellites or aircraft. Algorithms are given to compensate for the distortion caused by the variable nature of the atmosphere.