LAND USE LAND COVER CHANGE AND ITS RELATIONSHIP WITH LAND SURFACE TEMPERATURE IN SUNAMGANJ SADAR
Authors: Partha Protim Roy, Rafiqul Bari Kabir, Imran Hussain Mahdy, Mujibur Rahman and Sanjida Parveen Ritu
Partha Protim Roy: Department of Irrigation and Water Management, Sylhet Agricultural University, Alurtol Road, Sylhet-3100, Bangladesh.
Rafiqul Bari Kabir: Department of Agricultural Construction and Environmental Engineering,
Sylhet Agricultural University, Alurtol Road, Sylhet-3100, Bangladesh.
Imran Hussain Mahdy: Department of Agricultural Construction and Environmental Engineering, Sylhet Agricultural University, Alurtol Road, Sylhet-3100, Bangladesh.
Mujibur Rahman: Department of Agricultural Construction and Environmental Engineering,
Sylhet Agricultural University, Alurtol Road, Sylhet-3100, Bangladesh.
Sanjida Parveen Ritu: Professor, Department of Irrigation and Water Management,
Sylhet Agricultural University, Alurtol Road, Sylhet-3100, Bangladesh.
ABSTRACT
The urban areas of Sunamganj Sadar are growing rapidly as to meet the necessity for residential and institutional purposes for increasing population. This incident is accelerating the process of clearing the vegetated areas and reducing the agricultural lands which is the prime source for driving this area’s economy. The purpose of this study is to analyze the change in land use land cover (LULC) and to determine the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI) in the study area. Remote sensing and geographical information system (GIS) techniques were used to create LULC, NDVI, NDBI maps. Landsat 7 (ETM+) and Landsat 8 (OLI_TIRS) images were used for 2000 and 2020 respectively. Results obtained have revealed that there is significant decrease in forest area. On the other hand, area covered by water body and fallow land has shoot up remarkably. Results also showed that the maximum LST of winter season for the study area increased by 9.99 ℃ and minimum temperature increased by 8.94 ℃ over 21 years. From the analysis of linear regression analysis, it was found that LST tends to correlate positively with NDBI in both 2000 (R2 = 0.6679) and 2020 (R2 = 0.5156) year. Negative trend has been observed in relationship of LST with NDVI throughout the study except relation between LST and NDVI (R2 = 0.0034) in the year of 2020 which is very insignificant. Since the LULC pattern is changing with the passage of time and strong relationship has been found between LST and other indices, proper planning and execution is a must to arrest the rising temperature and to start new urbanism.
Keywords: Remote Sensing, GIS, Land Use, Land Cover, Climate Change