Poster on Extraction of Kenya's Historical Road Network from Topographic Maps using Deep Learning Techniques
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Feature
Citation
Citation Options
Identification
| Title: | Main Title: Poster on Extraction of Kenya's Historical Road Network from Topographic Maps using Deep Learning Techniques |
| Description: | Abstract: This is a poster about the extraction of Kenya’s historical road network from topographical maps presented at the DGPF annual meeting 2024 in Remagen, Germany. Kenya’s road network is crucial for environmental and socio-economic development. High-quality road data is vital for analyzing its impact on various factors. However, Kenya, like many sub-Saharan countries, faces challenges in digital road data availability due to high data acquisition costs. To address this, we extracted Kenya’s road network from over 500 historical maps using deep learning. We digitized, georeferenced, and classified the maps, identifying over 20 road symbols. A Python script and ArcGIS Pro’s Multi-Task Road Extractor were used for classification. The result is a detailed dataset of Kenya’s roads from the 1950s to 1970s. Despite some classification issues, the method is promising for national-scale road delineation and can be applied to other countries’ historical maps. |
| Related Resource: | Is Supplemented By https://www.trr228db.uni-koeln.de/search/view.php?dataID=492 (URL) |
Responsible Party
| Creators: | Tanja Kramm (Author), Nicodemus Nyamari (Author), Vincent Moseti (Author), David M. Anderson (Author), Christina Bogner (Author), Georg Bareth (Author) |
| Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 228: Future Rural Africa: Future-making and social-ecological transformation |
| Publisher: | TRR228 Database (TRR228DB) |
| Publication Year: | 2024 |
Topic
| TRR228 Topic: | Infrastructure |
| Related Subprojects: | Z2, A5, A2 |
| Subjects: | Keywords: Roads, Road Network, Geodata, Historical Data, Infrastructure, Historical Maps |
| Geogr. Information Topic: | Geoscientific Information |
File Details
| Filename: | Poster_DGPF2024.pdf |
| Data Type: | Text - Poster |
| File Size: | 2.3 MB |
| Date: | Available: 13.03.2024 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the TRR228DB data policy agreement. |
| Access Limitations: | According to the TRR228DB data policy agreement. |
| Licence: | [TRR228DB] Data policy agreement |
Geographic
Specific Information - Presentation
| Presenter: | Tanja Kramm |
| Presentation Date: | 13th of March, 2024 |
| Presentation Type: | Poster |
| Event: | Jahrestagung 2024 in Remagen: Stadt, Land, Fluss - Daten vernetzen |
| Event Type: | Conference |
| Event Location: | Remagen, Germany |
| Event Duration: | 13th of March, 2024 - 14th of March, 2024 |
| Event Website: | https://www.dgpf.de/con.html |
Metadata Details
| Metadata Creator: | Tanja Kramm |
| Metadata Created: | 19.04.2024 |
| Metadata Last Updated: | 19.04.2024 |
| Subproject: | Z2 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
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Dataset Statistics
| Page Visits: | 23 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
Dataset Activity
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
