Deep learning-based extraction of Kenya’s historical road network from topographic maps
Abstract Kenya’s road network significantly influences environmental and socio-economic dynamics. High-quality road data is essential for analyzing its impact on various factors, including land-use, biodiversity, migration, livelihoods, and economy. Like many countries, Kenya faces challenges in the...
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| Main Authors: | Tanja Kramm, Nicodemus Nyamari, Vincent Moseti, Annika Klee, Leon Vehlken, David M. Anderson, Christina Bogner, Georg Bareth |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05442-6 |
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