Artificial intelligence applied to satellite-based remote sensing data for earth observation /

Artificial intelligence applied to satellite-based remote sensing data for earth observation /

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Bibliographic Details
Imprint:	London, United Kingdom : The Institution of Engineering and Technology, 2021. ©2021
Description:	1 online resource (xxii, 256 pages) : illustrations
Language:	English
Series:	IET telecommunications series ; 98 IET telecommunications series ; 98.
Subject:	Remote sensing -- Data processing. Artificial intelligence. Artificial satellites in remote sensing. Artificial Intelligence Artificial intelligence Artificial satellites in remote sensing Remote sensing -- Data processing
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13515491

Hidden Bibliographic Details
Other authors / contributors:	Del Rosso, Maria Pia, editor. Sebastianelli, Alessandro, editor. Liberata Ullo, Silvia, editor.
ISBN:	9781839532139 1839532130 9781839532122
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (IET Digital Library, viewed on November 24, 2021)
Summary:	This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
Other form:	Print version: Artificial intelligence applied to satellite-based remote sensing data for earth observation. Stevenage : Institution of Engineering and Technology, 2021 9781839532122

Description
Summary:	Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change.
Physical Description:	1 online resource (xxii, 256 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781839532139 1839532130 9781839532122