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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms
Geospatial practitioners and national mapping agencies (NMAs) in Africa are constrained to rely on open-access remote sensing datasets, even as they struggle to meet up with best practices on spatial data infrastructure and topographic map revision. Thus, global digital elevation models (DEMs) have...
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| Format: | Thesis |
| Language: | English |
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School of Architecture, Planning and Geomatics
2024
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