Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh

Abstract

LULC is vital to investigate land use patterns and helping forecast future sustainable land management. The study area is a freshly emerging and quickly industrialized area in Mymensingh, Bangladesh, where the urbanization process has also fostered and changed the landscape uses. The change has been identified in five classes for the last two decades by using Landsat 7 and 8 images in Arc GIS 10.8. The overall accuracy was 87.2% for 2002 and 89.6% for 2022. The build-up area faced the most significant changes, a 217.1% (6.56 km2) increase by the urbanization and industrialization process which has a significant impact. We should be concerned about it.

Keywords

• Change detection
• Cappa coefficient
• Remote sensing
• GIS
• Supervised classification
• Maximum likelihood classification