Monitoring Residential Land Use Changes with Multi-Resolution Satellite Imagery: A Case Study from Vietnam

Nguyen Thi Le Hang

Abstract: This article presents a novel method for detecting residential land use changes by integrating medium-resolution historical satellite images with recent high-resolution imagery. The core of the technique involves generating a residential area mask from the latest high-resolution data, which guides focused analysis on previous imagery. This method enhances classification accuracy and significantly reduces processing time compared to conventional approaches. Applying this technique to Hoai Duc District in Vietnam, the study reveals substantial urban expansion between 2005 and 2022. The proposed approach offers a cost-effective and practical solution for urban development monitoring, supporting improved planning and sustainable growth management.

Keywords: urban expansion, land use monitoring, residential classification, remote sensing, Hoai Duc district, Vietnam