On the semantics of big Earth observation data for land classification
This paper discusses the challenges of using big Earth observation data for land classification. The approach taken is to consider pure data-driven methods to be insufficient to represent continuous change. I argue for sound theories when working with big data. After revising existing classification...
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| Format: | Article |
| Language: | English |
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University of Maine
2020-06-01
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| Series: | Journal of Spatial Information Science |
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| Online Access: | http://josis.org/index.php/josis/article/view/645 |