Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest
The mapping of land cover using remotely sensed data is most effective when a robust classification method is employed. Random forest is a modern machine learning algorithm that has recently gained interest in the field of remote sensing due to its non-parametric nature, which may be better suited t...
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| Format: | Others |
| Language: | English |
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Stockholms universitet, Institutionen för naturgeografi
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146657 |