Abstract
This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial techniques have been employed to evaluate the LC change and land surface temperature (LST) variation. Different spectral indices such as NDVI, MNDWI, NDBal have been used to retrieve individual LC. Corresponding LST has also been extracted using the thermal bands. Supervised Classification and the post-classification change detection technique were employed to determine the temporal changes and validate the individual LC. The results were employed to assess the LST variation associated with LC changes. The results reveal that the area had undergone a drastic and inconsistent heterogeneous LC transformation during the study period. Water and vegetation areas have expanded at a rate of 0.24km2/year and 0.45km2/year respectively, while bare lands have shrunk at a rate of 0.70km2/year. In general, Bare land exhibits a significant positive correlation, when Vegetation areas show a significant negative correlation with LST. However, the correlation between water areas and LST was found statistically insignificant. Agriculture in the form of vegetation has been found the most dominating land cover character throughout the study period, which has been regulating the LST variation across the area.
Highlights
This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data
Exploring the means of land surface temperature (LST) responses to LC change (LCc) has become a popular research topic among the researchers, which mainly concentrated in different urban landscapes of the globe (e.g. Indianapolis, USA (Liu and Weng, 2008), Melbourne, Australia (Harmay et al, 2021), Tehran in Iran (Shafizadeh-Moghadam et al, 2020), Guangzhou in China (Sun et al, 2012), Cameron Highlands in Malaysia (Aik et al, 2020), Makassar, Indonesia (Suriana et al, 2020), Lahore, Pakistan (Khan et al, 2020) West Bengal in Indian (Das and Angadi, 2020), Chattogram in Bangladesh (Roy et al, 2020), Bangkok in Thailand (Khamchiangta and Dhakal, 2020), etc
This study aims to quantify and evaluate the spatiotemporal change of LC and the impact of individual LCc effects on the LST of the Jobai Beel area
Summary
This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial techniques have been employed to evaluate the LC change and land surface temperature (LST) variation. Different spectral indices such as NDVI, MNDWI, NDBal have been used to retrieve individual LC. Agriculture in the form of vegetation has been found the most dominating land cover character throughout the study period, which has been regulating the LST variation across the area. NDVI values with more than 0.2 indicate vegetation; higher values of NDVI indicate healthy vegetation (Guha et al, 2018; Guha and Govil, 2021; Bhandari et al, 2012)
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