Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation - Couverture rigide

 
9781839532122: Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
Couverture rigide
ISBN 10 : 1839532122 ISBN 13 : 9781839532122
Editeur : Institution of Engineering and Technology, 2021

Synopsis

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.

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À propos des auteurs

Maria Pia Del Rosso is an electronics engineer and researcher in the Engineering Department of the University of Sannio, Italy, with a particular interest in Remote Sensing and Artificial Intelligence. While a master student she worked on monitoring natural disaster through satellite data. She is a member of the IEEE Geoscience and Remote Sensing Society and the IEEE Communications Society.



Alessandro Sebastianelli is an electronics engineer and researcher in the Engineering Department of the University of Sannio, Italy, with research interests in Remote Sensing and Artificial Intelligence. During his years as a master student he worked on monitoring natural disaster through satellite data. He is a member of the IEEE Communications Society and the IEEE Geoscience and Remote Sensing Society.



Silvia Liberata Ullo is a professor and researcher in the Telecommunications and Remote Sensing group at the University of Sannio, Italy. Her research deals with data analysis and remote sensing techniques. She is a senior member of the IEEE and is associated with IEEE Aerospace and Electronic Systems, IEEE Geoscience and Remote Sensing, IEEE Communication, IEEE Signal Processing and IEEE Women In Engineering (WIE).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Institution of Engineering and Technology
Date d'édition
2021
Langue
anglais
ISBN 10 
1839532122
ISBN 13 
9781839532122
Reliure
Relié
Nombre de pages
283
Éditeur
Del Rosso Maria Pia, Sebastianelli Alessandro, Ullo Silvia Liberata
Coordonnées du fabricant
non disponible
Personne responsable
non disponible