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Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation - (Telecommunications) (Hardcover)

Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation - (Telecommunications) (Hardcover) - 1 of 1
$115.99 sale price when purchased online
$150.00 list price
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About this item

Highlights

  • 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.
  • Author(s): Maria Pia del Rosso & Alessandro Sebastianelli & Silvia Liberata Ullo
  • 283 Pages
  • Computers + Internet, Intelligence (AI) & Semantics
  • Series Name: Telecommunications

Description



About the Book



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.



Book 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.
Dimensions (Overall): 9.5 Inches (H) x 6.4 Inches (W) x .7 Inches (D)
Weight: 1.35 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 283
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Series Title: Telecommunications
Publisher: Institution of Engineering & Technology
Format: Hardcover
Author: Maria Pia del Rosso & Alessandro Sebastianelli & Silvia Liberata Ullo
Language: English
Street Date: November 9, 2021
TCIN: 1006245535
UPC: 9781839532122
Item Number (DPCI): 247-38-5176
Origin: Made in the USA or Imported

Shipping details

Estimated ship dimensions: 0.7 inches length x 6.4 inches width x 9.5 inches height
Estimated ship weight: 1.35 pounds
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