Application of Remote Sensing and GIS Technologies in Developing a Road Transportation Database: A Case Study in Son La Province, Vietnam

Abstract

The development of a road transportation database plays a crucial role in infrastructure management and planning, especially in mountainous areas with complex terrain such as Son La province. This study integrates remote sensing imagery (Sentinel-2, Landsat-8, and high-resolution satellite images) with GIS technology to build a comprehensive transportation database for the entire study area. Through image preprocessing, supervised classification, and spatial information extraction, the GIS database was constructed with key data layers: road networks, bridges and tunnels, and major traffic nodes. Validation against field survey data shows an overall accuracy of 89%, with the road network layer reaching 91.3%. The results demonstrate that, the GIS-based transportation database can provide detailed information on road infrastructure, supporting evaluation and planning efforts in mountainous regions.