Application of remote sensing and gis in analyzing land use change in Tay Ninh city from 2015 to 2025

Abstract

This study analyzes land use changes in Tay Ninh City, Tay Ninh Province, using remote sensing and GIS technologies. Landsat 8 OLI satellite imagery from the years 2015 and 2025 was classified into six land use categories: forest, annual crops, perennial crops, water bodies, bare land and built-up land, using the Support Vector Machine method. The classifications achieved overall accuracies of 96.2% and 97.3%, with corresponding Kappa coefficients of 0.91 and 0.92. Land use maps for 2015 and 2025 were generated and a land use change map for the 2015 - 2025 period was produced through overlay analysis. The results indicate a significant increase in built-up land, primarily due to the conversion of bare land and perennial cropland. Furthermore, the area of annual crops also expanded markedly, largely as a result of previously unused agricultural land being brought into cultivation. These findings reflect a shift in the land use structure of Tay Ninh City during the 2015 - 2025 period, characterized by the optimization of agricultural land and the expansion of infrastructure-indications of an ongoing urbanization process. This study also highlights the effectiveness of satellite imagery in monitoring land use changes, providing essential support for urban management and sustainable development planning.

Keywords: Land use change; remote sensing; Landsat.