Authors: S M Ahsanullah*, Geography And Planning
Topics: Land Use and Land Cover Change, Geographic Information Science and Systems, Third World
Keywords: Land Use/Cover, GIS, Remote Sensing, Urban Development, Saptio-Temporal Change
Session Type: Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download
The goal is to explore the temporal and spatial land use/cover changes of one of the oldest city, Detroit of USA and Dinajpur of Bangladesh. Dinajpur is a typical small town in Bangladesh, representing an ideal and old city whereas Detroit is the largest United States city on the United States–Canada border and famously known as the 'Motor City'. To complete this task Landsat Multispectral Scanner (MSS), Thematic Mapper (TM) and Operational Land Imager (OLI) data were acquired from 1975 to 2015. With a 10-year interval of these forty years span data is collected and analyzed. The unsupervised and supervised classification with maximum likelihood classification and change detection comparison strategy is employed to identify land use/cover changes. The land use classes are Agriculture Land, Barren Land, Waterbody, Urban Area, Tree Cover, are separated by collecting sample signature of each class from the above satellite images. The changes in broad categories will help us understand the development of some particular category and decline of others over the time of 40-year. The analysis shows that the results are somewhat similar among these countries but different in ways that are interesting. Most importantly the study focuses on the growth of the urban area of both of these cities as the key indicator of development. As urban development comparison will show the difference or similarity of a small city from a third world country with one from the most developed first world country, representing a very unique comparison in the world city scenario.