Artificial intelligence applied to satellite-based remote sensing data for earth observation /
Saved in:
| 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: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12772275 |
| 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 |
