AN ASSESSMENT OF DETECTION OF DISPARITIES OF LAND USE AND LAND COVER MAP OF KHAGRACHARI DISTRICT FROM 2013-2023
Md. Arafatul Alam, Farin Tasnuva Dhara
GROUP 8
OUTLINES
INTRODUCTION
OBJECTIVES
STUDY AREA
MATERIALS AND METHODOLOGY
RESULTS AND DISCUSSIONS
CONCLUSION
INTRODUCTION
OBJECTIVES
STUDY AREA
Figure 1: Main study area comprising Khagrachari district
MATERIALS AND METHODOLOGY
Data Collection
USGS Earth Explorer
(Cloud Cover < 0-5%
Dates Selected- 01 Dec to 31 Dec
Downloaded Files- Band 1-5 & MLT File)
Figure 2: Locating the selected data area
Figure 3: Landsat data collection from USGS
Classification by QGIS
Rasters of different bands are added
Atmospheric correction is applied to the raster band layers using the SCP plugin in QGIS
Bands are clipped by mask of raster layer by using the raster conversion tool
Virtual band sets are created using the 3-2-1 and 4-3-2 RGB tool of SCP
A new ROI and Signature database scp file are then created
Usage of HCMGIS Google Satellite base-map
The classification is worked out with the SCP plugin by using classification tool under band processing unit.
Then the map is added to a new layout print
Finally the produced layout is exported as PNG
Figure 4: Addition of Khagrachari District as vector shape file
Figure 5: Clipped the bands masked by interested Khagrachari district area
Figure 6: Creation of virtual RGB band set sight
Figure 7: Supervised classification training the signature process
Figure 8: Usage of classification tool
Figure 9: Creation of virtual RGB band set sight
RESULTS AND DISCUSSIONS
Figure 10: LULC Map of Khagrachari district in the year 2013
Figure 11: LULC Map of Khagrachari district in the year 2018
Figure 11: LULC Map of Khagrachari district in the year 2023
CONCLUSION