ABSTRACT
Rangpur is one of the fastest growing cities of Bangladesh with a dense population.
Being the headquarter of a division in Bangladesh, it is experiencing multi-dimensional
problems such as over urbanization, traffic congestion, water logging, and solid
waste disposal. Rangpur is a sheer example of having poor legislative actions, inefficient
management and lack of public awareness, which leads the urbanization to an unplanned
and resource consuming development. This study presents an integrated study of land
use pattern in Rangpur City, Bangladesh, by using Geographical Information Systems
(GIS) and Remote Sensing (RS). The data sources used in this study were Landsat
Thematic Mapper (TM) and a Landsat Enhanced Thematic Mapper Plus (ETM+) images taken
in 1989, 2000 and 2014, respectively. All images were geometrically and radiometrically
corrected and the change detection methods were performed. Then, supervised maximum
likelihood classification was used as a cross classification to detect change. The
study area was classified into six categories on the basis of field study, geographical
conditions, and remote sensing data. The remotely detected land use change from
1989 to 2014 shows that Rangpur is gradually changing, as planted trees, open spaces,
low land and Permanent water sources have been transformed into built-up areas.