Artificial intelligence for geospatial applications

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F24%3A73621730" target="_blank" >RIV/61989592:15310/24:73621730 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4324/9780367855765" target="_blank" >http://dx.doi.org/10.4324/9780367855765</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4324/9780367855765" target="_blank" >10.4324/9780367855765</a>

Result language
angličtina
Original language name
Artificial intelligence for geospatial applications
Original language description
A chapter in the book describes the importance of artificial intelligence in geospatial applications. After an introduction to the subject, the chapter highlights the weaknesses and strengths of artificial intelligence. AI technologies, especially neural networks, machine learning and deep learning techniques are introduced. The culmination of the chapter is laid in a look at geospatial AI, geospatial big data and supercomputing. The relationship between geospatial AI and GIS is also commented on. The chapter culminates in a discussion of the future of AI in geospatial science and technology, including ethical considerations.Translated with DeepL.com (free version)
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
The Routledge Handbook of Geospatial Technologies and Society
ISBN
978-0-367-42887-7
Number of pages of the result
16
Pages from-to
313-328
Number of pages of the book
655
Publisher name
Routledge
Place of publication
Abingdon
UT code for WoS chapter
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