Python script for deep learning-based extraction of road networks
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Citation
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Identification
| Title: | Main Title: Python script for deep learning-based extraction of road networks |
| Description: | Abstract: This dataset includes two Python scripts for extracting road networks from topographic maps or other digital imagery. The Script is designed to automatically classify roads on multiple image files. The first script, “DeepLearning_Training.py”, creates a trained model for deep learning road extractions using ArcGIS Pro’s Multi-Task Road Extractor. The trained model can then be used in the second script, “DeepLearning_Classification.py”, to extract classified rasters using the ArcGIS Pro Classify Pixels Using Deep Learning tool. After classification, the script converts all classified tiles into polygon shapefiles and merges them into a single shapefile. The script has been used to create the historical road network of Kenya, accessible at DOI: 10.5880/TRR228DB.22. Please note: A commercial ArcGIS Pro license is required to execute these scripts. |
| Identifier: | 10.5880/TRR228DB.32 (DOI) |
| Related Resource: | Is Supplement To Dataset 10.5880/TRR228DB.22 (DOI) |
Responsible Party
| Creator: | Tanja Kramm (Author) |
| Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 228: Future Rural Africa: Future-making and social-ecological transformation |
| Publisher: | TRR228 Database (TRR228DB) |
| Publication Year: | 2025 |
Topic
| TRR228 Topic: | Infrastructure |
| Related Subproject: | Z2 |
| Subjects: | Keywords: Road Network, GIS, Historical Maps, Geodata |
| Geogr. Information Topic: | Imagery/Base Maps/Earth Cover |
File Details
| Filename: | PythonScript_DLRoadExtraction.zip |
| Data Type: | Software - Python code |
| File Size: | 3 KB |
| Date: | Available: 12.02.2025 |
| Mime Type: | application/zip |
| Data Format: | OTHER |
| Language: | English |
| Status: | Completed |
Archive Content
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: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Specific Information - Data
| Temporal Extent: | 12.02.2025 |
| Subtype: | Geospatial Data |
| Scope: | Software |
Metadata Details
| Metadata Creator: | Tanja Kramm |
| Metadata Created: | 12.02.2025 |
| Metadata Last Updated: | 12.02.2025 |
| Subproject: | Z2 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 20 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and TRR228DB Data Protection Statement
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.
