Planetary Radio Signal Reception & Cloud Computing | Space Science and associated Information of Technology

Asit Baran Bhattacharya (u. a.)

ISBN 10: 3659792683 / ISBN 13: 9783659792687

Published by LAP LAMBERT Academic Publishing, 2015

About this Item

Planetary Radio Signal Reception & Cloud Computing | Space Science and associated Information of Technology | Asit Baran Bhattacharya (u. a.) | Taschenbuch | 368 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659792687 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 104092407

Bibliographic Details

• Title: Planetary Radio Signal Reception & Cloud Computing | Space Science and associated Information of Technology
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659792683
• ISBN 13: 9783659792687
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 23D millimeters 220 millimeters width by 150 millimeters height by 23 millimeters depth
• Weight: 566 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Remote sensing and its kindred technologies, such as geographic information systems (GIS), the Global Positioning System (GPS) etc. have a pervasive impact on the conduct of sciences, government and business alike. This book is designed to be primarily used in two ways: as a textbook in a very specialized field of remote sensing and a reference for the burgeoning number of practitioners who use space science and associated information of technology in the field of radio signal reception from terrestrial sources and the subsequent analysis as well as some popular applications involved in the process of cloud computing in their work. We have strongly emphasized radio signal data acquisition and analysis under different behaviors of the terrestrial sources, while retaining basic information about earlier sensors and methods from which one may also gather a vast amount of archival data exist, which may be considered increasingly valuable as a source for studies of long‐term change.

About the Author

Prof. A. B. Bhattacharya of Kalyani University did his Post-doc from MIT, USA and an adviser in the Techno India University, Kolkata. B. Raha is an Asst. Prof. in Techno India University and did her Ph.D. work at KU. Prof. S. Biswas of Techno India University is a renowned scientist in the field of cloud architecture and cloud computing.