Examining the nexus between land surface temperature and urban growth in Chattogram Metropolitan Area of Bangladesh using long term Landsat series data

Roy, Subhash Kanti; Pandit, Santa; Eva, Eshita Akter; Bagmar, Md. Shaddam Hossain; Papia, Mossammat; Banik, Laboni; Dube, Timothy; Rahman, Farhana; Razi, Mohammad Arfar

doi:10.1016/j.uclim.2020.100593

Cited by 103 publications

(48 citation statements)

References 55 publications

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“…Balew and Korme (2020) noticed a positive correlation in Bahir Dar City of Ethiopia. Using a long term Landsat series data in Chattogram Metropolitan Area of Bangladesh, Roy et al (2020) showed that NDBI is positively correlated to LST. Son et al (2020) showed that the LST-NDBI relationship was also strong positive (0.85) in San Salvador City of El Salvador in last 30 years.…”

Section: Monthly Analysis On Lst-spectral Indices Relationshipmentioning

confidence: 99%

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

Guha

Govil

2021

European Journal of Remote Sensing

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This study analyzes the long-term monthly variation of land surface temperature (LST) and its relationship with normalized difference vegetation index (NDVI), normalized difference water index (NDWI), normalized difference built-up index (NDBI), and normalized difference bareness index (NDBaI) in the Raipur City of India using one hundred and twenty-three Landsat images from 1988-2020. In terms of LST, the warmest month is April (38.49 o C) and the coldest month is January (23.04 o C). The standard deviation in LST is noticed as 1.1022 o C throughout the period. The growth pattern of LST is increasing in the earlier stage while it is steady and decreasing in the later stage. The mean linear regression coefficients for LST-NDVI is -0.42, LST-NDBI are 0.68, LST-NDWI is 0.27, and LST-NDBaI is 0.32. It indicates that the high ratio of green vegetation and water bodies resist the raise of LST, whereas the bare rock surface and built-up land accelerate the LST. The value of the spectral indices and LST varies with the change of month due to the physical change of the land surface materials. Hence, the study will be an effective one for the town and country planners for their future estimation of land conversion.

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Section: Monthly Analysis On Lst-spectral Indices Relationshipmentioning

confidence: 99%

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

Guha

Govil

2021

European Journal of Remote Sensing

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“…Many recent studies focused on the prediction of future land use change and their relationship with LST based on Published in partnership with CECCR at King Abdulaziz University four LULC indexes over three major cities: Dhaka, Chittagong and Rajshahi in Bangladesh (Gazi et al 2020;Kafy et al 2020;Rahman et al 2020;Roy et al 2020;Trotter et al 2017;Ahmed et al 2013). On the other hand, some other studies were conducted on the urban heat island patterns and their trends in five major cities of Bangladesh (Dewan et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Cover Changes on Land Surface Temperature and Human Thermal Comfort in Dhaka City of Bangladesh

et al. 2021

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Urbanization leads to the construction of various urban infrastructures in the city area for residency, transportation, industry, and other purposes, which causes major land use change. Consequently, it substantially affects Land Surface Temperature (LST) by unbalancing the surface energy budget. Higher LST in city areas decreases human thermal comfort for the city dwellers and affects the urban environment and ecosystem. Therefore, a comprehensive investigation is needed to evaluate the impact of land use change on the LST. Remote Sensing (RS) and Geographic Information System (GIS) techniques were used for the detailed investigation. RS data for the years 1993, 2007 and 2020 during summer (March–May) in Dhaka city were used to prepare land cover maps, analyze LST, generate hazard maps and relate the land cover change with LST by using GIS. The results show that the built-up area in Dhaka city increased by 67% from 1993 to 2020 by replacing lowland mainly, followed by vegetation, bare soil and water bodies. LSTs found in the study area were ranged from 23.26 to 39.94 °C, 23.69 to 43.35 °C and 24.44 to 44.58 °C for the years 1993, 2007 and 2020, respectively. The increases of spatially distributed maximum and mean LST were found 4.62 °C and 6.43 °C, respectively, for the study period of 27 years while the change in minimum LST was not substantial. LST increased by around 0.24 °C per year and human thermal discomfort shifted from moderate to strong heat stress for the total study period due to the increase of built-up and bare lands. This study also shows that normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were negatively correlated with LST while normalized difference built-up Index (NDBI) and normalized difference built-up Index (NDBAI) were positively correlated with LST. The methodology developed in this study can be adapted to other cities around the globe.

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“…From a geographic perspective, the central city area is situated on flat land, with low height hillocks mainly towards the north with a peak elevation level of 351 m in Sitakunda (Roy et al 2020). A tropical monsoon climate mostly dominates the weather conditions of the city.…”

Section: Study Areamentioning

confidence: 99%

Evaluation of physicochemical and trace metal qualities of rainwater in the south-eastern region of Bangladesh

Hossen

Hoque

Salauddin

et al. 2021

Journal of Water Supply: Research and Technology-Aqua

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The chemical characteristics of rainwater in the south-eastern region of Bangladesh were investigated in this study in addition to identifying the potential sources of different precipitation constituents, which have often been unexplored or not well covered in the literature. Rainwater pH, major ions and trace metals were measured in samples collected from five different locations with different land-use patterns of the Chattogram Metropolitan area (CMA) during two rainy seasons. The results of this study showed variability in rainwater quality across the sites signifying site-specific influences. The mean concentration of all measured physicochemical parameters, ions and trace metals in rainwater samples was also found to be significantly lower compared with the drinking water quality standard of Bangladesh and WHO guidelines. The correlation matrix and principal component analysis (PCA) indicated that and originated from anthropogenic sources, while the average concentration of trace metals found in rainwater was exhibited in the following order: Zn>Cu>Fe>Cr>Mn>Pb>Cd. The findings of this study could be used as a reference to further investigate the influences of industrial, urban and agricultural emissions that regulate the chemical characteristics of the atmosphere in particular areas of study.

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Examining the nexus between land surface temperature and urban growth in Chattogram Metropolitan Area of Bangladesh using long term Landsat series data

Cited by 103 publications

References 55 publications

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

Impact of Land Cover Changes on Land Surface Temperature and Human Thermal Comfort in Dhaka City of Bangladesh

Evaluation of physicochemical and trace metal qualities of rainwater in the south-eastern region of Bangladesh

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