Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 757-760, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-757-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 757-760, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-757-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

IMPACT ANALYSIS OF URBANIZATION ON LAND USE LAND COVER CHANGE FOR KHULNA CITY, BANGLADESH USING TEMPORAL LANDSAT IMAGERY

M. Moniruzzam1, A. Roy2, C. M. Bhatt2, A. Gupta2, N. T. T. An3, and M. R. Hassan4 M. Moniruzzam et al.
  • 1Center for Space Science and Technology Education in Asia and the Pacific, Dehradun, India
  • 2Indian Institute of Remote Rensing, Dehradun, India
  • 3National Remote Sensing Department of Vietnam, 83 Nguyen Chi Thanh Street, Ha Noi, Vietnam
  • 4Faculty of Physics, Northern University of Business and Technology, Khulna, Bangladesh

Keywords: Corner Reflector, Radar Cross Section, Trihedral, Dihedral, Compact Antenna Test Range Facility, Calibration

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).