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

Earth Systems and Environment, Journal Year: 2021, Volume and Issue: 5(3), P. 667 - 693

Published: July 7, 2021

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

Language: Английский

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Impact of urbanization on land surface temperature and surface urban heat Island using optical remote sensing data: A case study of Jeju Island, Republic of Korea

Building and Environment, Journal Year: 2022, Volume and Issue: 222, P. 109368 - 109368

Published: July 10, 2022

Language: Английский

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Assessing Land Use–Land Cover Change and Its Impact on Land Surface Temperature Using LANDSAT Data: A Comparison of Two Urban Areas in India

Earth Systems and Environment, Journal Year: 2020, Volume and Issue: 4(2), P. 385 - 407

Published: April 24, 2020

Language: Английский

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Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2019, Volume and Issue: 80, P. 115 - 126

Published: April 25, 2019

Language: Английский

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Assessment of variation of land use/land cover and its impact on land surface temperature of Asansol subdivision

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2020, Volume and Issue: 24(1), P. 131 - 149

Published: May 15, 2020

Economic development is a basic need for the growth of region and it stimulates rapid transformation land use cover (LULC) units. Urbanization industrialization are one major factors to increase temperature. Asansol sub-division important industrial urbanized regions eastern India. In this study, two different years viz. 1993 2018 have taken preparation LULC surface temperature map. The kappa coefficient has been implied in investigation assess accuracy maps. Temperature maps show that summer winter increases at rate 0.15 °C 0.19 per year respectively. result also reveals mainly due presence urban, coal mine areas. changing patterns areas increased by 15% urban 60%. Some correlations prepared relationship between Land Surface (LST) other spatial indices like NDBI, NDVI, NDWI, where negative correlation prevails LST NDVI with but positive relation exists NDBI. Lastly, simulation 2041 prepared, which shows upcoming years' may be up 0.21 °C/year.

Language: Английский

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Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)

Remote Sensing, Journal Year: 2020, Volume and Issue: 12(18), P. 2987 - 2987

Published: Sept. 14, 2020

Land use land cover (LULC) of city regions is strongly affected by urbanization and affects the thermal environment urban centers influencing surface temperature core areas their surroundings. These issues are addressed in current study, which focuses on two provincial capitals Pakistan, i.e., Lahore Peshawar. Using Landsat data, LULC determined with aim to (a) examine spatio-temporal changes over a period 20 years from 1998 2018 using CA-Markov model, (b) predict future scenarios for 2023 2028, (c) study evolution different categories investigate its impacts (LST). The results Peshawar indicate significant expansion vegetation built-up area replacing barren land. have increased 25.6%, 16.3% respectively. In contrast, has expanded 11.2% while decreased (22.6%). transitions between classes also affect LST areas. Transformation water into or increase LST. transformation decrease evolutions clearly effects environment, an increasing trend This provides baseline reference planners policymakers informed decisions.

Language: Английский

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Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm

Environmental Challenges, Journal Year: 2021, Volume and Issue: 4, P. 100190 - 100190

Published: June 25, 2021

Rises in land surface temperature (LST) significantly impacted by use/land cover (LULC) changes. The increase LST massively the urban biodiversity, ecosystem and population health. This study aims to estimate changes LULC classes identify their impacts on Dhaka city, Bangladesh using Landsat satellite images from 2000 2020. Based past estimated change maps of LST, finally predicted future scenario for year 2030. support vector machine algorithm was applied perform classification. Artificial neural network cellular automata algorithms were used predict Results suggested a significant reduction vegetation (5%) an built-up area (14%) Due this massive areas, increment took place 7.24 °C last two decades. maximum recorded areas (34 °C), water bodies (19 °C) exhibited minimum temperature. A strong positive correlation found between Normalized Difference Built-up Index (NDBI), where negative relation Vegetation (NDVI) Water (NDWI). results 2030 also exhibit loss green 13% rises 21%. will likely be increased 9.29 year. For ensuring sustainable development minimizing heat island effects, play role providing effective guidelines planners, policymakers respective authorities city.

Language: Английский

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Studying spatial-temporal changes and relationship of land cover and surface Urban Heat Island derived through remote sensing in Yerevan, Armenia

Building and Environment, Journal Year: 2020, Volume and Issue: 187, P. 107390 - 107390

Published: Oct. 20, 2020

Language: Английский

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Monitoring of Land Use–Land Cover Change and Potential Causal Factors of Climate Change in Jhelum District, Punjab, Pakistan, through GIS and Multi-Temporal Satellite Data

Land, Journal Year: 2021, Volume and Issue: 10(10), P. 1026 - 1026

Published: Sept. 30, 2021

Land use–land cover (LULC) alteration is primarily associated with land degradation, especially in recent decades, and has resulted various harmful changes the landscape. The normalized difference vegetation index (NDVI) prospective capacity to classify vegetative characteristics of many ecological areas proven itself useful as a remote sensing (RS) tool recording phenological aspects. Likewise, built-up (NDBI) used for quoting areas. current research objectives include identification LULC, NDVI, NDBI Jhelum District, Punjab, Pakistan, during last 30 years (1990–2020). This study targeted five major LULC classes: water channels, area, barren land, forest, cultivated land. Satellite imagery classification tools were identify northern Pakistan. perception data about environmental variations conveyed by 500 participants (mainly farmers) also recorded analyzed. results depict that majority farmers (54%) believe appearance more drastic such less rainfall, drought, decreased availability irrigation 2020 compared prior. Overall accuracy assessment was 83.2% 88.8% 1990, 88.1% 85.7% 2000, 86.5% 86.7% 2010, 85.6% 87.3% 2020. NDVI District highest 1990 at +0.86 lowest +0.32; similarly, values +0.72 −0.36. change showed clear association temperature, NDBI, area. At same time, area soil, vegetation, from quite prominent, possibly resulting temperature increases, reduction irrigation, changing rainfall patterns. Farmers found be responsive climatic variations, diverting framing possible mitigation approaches, but they need government assistance. findings this study, causes impacts rapid immediate attention related departments policy makers.

Language: Английский

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Spatiotemporal Dynamics of Land Surface Temperature and Its Impact on the Vegetation

Civil Engineering Journal, Journal Year: 2019, Volume and Issue: 5(8), P. 1753 - 1763

Published: Aug. 21, 2019

Due to global warming under climate change scenarios, Indus delta region of Pakistan is serious threat since the last few decades. The present study was thus conducted determine spatiotemporal variations in LST and its impact on vegetation delta, using satellite data for past 27 years (1990-2017). analysis revealed that average, there an increase 1.74 oC during years. temporal variation Normalized Difference Vegetation Index (NDVI), indicator vegetation, showed highest NDVI 0.725 year 2005 followed by 2010 with 0.712. While lowest 0.545 observed 2017. integrated which a fair but negative statistical correlation coefficient determination R2 = 0.65. A between yield wheat crop Delta positive relationship 0.89. Several factors may contribute LST, such as residential areas, cropping pattern overall change. Such studies are important determining climatic influences ecological parameters.

Language: Английский

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