Abstract

Urbanization has given a massive pace in Land Use Land Cover (LULC) changes in rapidly growing cities like Khulna, i.e. the third largest city of Bangladesh. Such impacting changes have taken place in over-decadal scale. It is important because detailed analysis with regularly monitoring will be fruitful to drag the attention of decision maker and urban planner for sustainable development and to overcome the problem of urban sprawl. In this present study, changes in LULC as an impact of urbanization, have been investigated for years 1997, 2002, 2007, 2012 and 2017; using three generation of Landsat data in geographic information system (GIS) domain which has the height competence in recent time. Initially, LULC have categorised into Built-up, Vegetation, Vacant Land, and Waterbody with the help of supervised classification technique. Field work had been carried out for acquiring training dataset and validation. The accuracy has been achieved more than 85% for the changes assessed. Analysis has an outlet with increase in built-up area by 27.92% in year 1997 to 2017 and continued respectively in each successive interval of half a decade at the given years. On the other side waterbody and vacant land decreased correspondingly. Bound to mention, instead to having largest temporal durability, the moderate spatial resolution of Landsat data has a limitation for such urban studies. These changes are responsible by both of natural or anthropogenic factors. Such study will provide a better way out of optimization of land-use to prepare detail area plan (DAP) of Khulna City Corporation (KCC) and Khulna development authority (KDA).

Details

Title
IMPACT ANALYSIS OF URBANIZATION ON LAND USE LAND COVER CHANGE FOR KHULNA CITY, BANGLADESH USING TEMPORAL LANDSAT IMAGERY
Author
Moniruzzam, M 1 ; Roy, A 2 ; Bhatt, C M 2 ; Gupta, A 2 ; An, N T T 3 ; Hassan, M R 4 

 Center for Space Science and Technology Education in Asia and the Pacific, Dehradun, India; Center for Space Science and Technology Education in Asia and the Pacific, Dehradun, India 
 Indian Institute of Remote Rensing, Dehradun, India; Indian Institute of Remote Rensing, Dehradun, India 
 National Remote Sensing Department of Vietnam, 83 Nguyen Chi Thanh Street, Ha Noi, Vietnam; National Remote Sensing Department of Vietnam, 83 Nguyen Chi Thanh Street, Ha Noi, Vietnam 
 Faculty of Physics, Northern University of Business and Technology, Khulna, Bangladesh; Faculty of Physics, Northern University of Business and Technology, Khulna, Bangladesh 
Pages
757-760
Publication year
2018
Publication date
2018
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
ProQuest document ID
2585422659
Copyright
© 2018. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.