Agricultural land-use classification on satellite data using machine learning
Year of publication: |
2025
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Authors: | Nguyen, Thao-Ngan ; Nguyen Van-Ho |
Published in: |
Business systems research : a system view accross technology & economics : the journal of Society for Advancing Innovation and Research in Economy. - Warsaw : De Gruyter, Versita, ISSN 1847-9375, ZDB-ID 2759390-3. - Vol. 16.2025, 1, p. 219-232
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Subject: | satellite data | land usage | classification models | machine learning | Sentinel-2 | Künstliche Intelligenz | Artificial intelligence | Klassifikation | Classification | Weltraumtechnik | Space technology | Agrarboden | Agricultural soil | Landnutzung | Land use |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/bsrj-2025-0011 [DOI] |
Classification: | C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C63 - Computational Techniques ; C67 - Input-Output Models |
Source: | ECONIS - Online Catalogue of the ZBW |
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