Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS

Willie, Yanga A.; Pillay, Rajendran; Zhou, Leocadia; Orimoloye, Israel R.

doi:10.1007/s12145-019-00391-2

Cited by 29 publications

(11 citation statements)

References 31 publications

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“…Several previous studies have found that the average LST of urban parks was 1–2 °C, and sometimes even 4–8 °C, cooler than their urban surroundings, generating a “cooling island” [ 7 , 28 , 29 ]. The spatial scope of scholars’ research about UHI mitigation effects of urban parks is generally from (1) the relationship of the urban green space landscape spatial configuration and land surface temperature (LST) [ 30 , 31 , 32 , 33 ], and (2) the microclimate in the parks and the impacts of their structure factors on the thermal environment of the surrounding areas [ 34 , 35 , 36 ]. Furthermore, when studying the cooling effect of the park on surrounding environment, some scholars adopted the designated buffer zone distance to calculate the average temperature around the parks and compared it with its internal temperature using remote sensing image data [ 28 , 37 , 38 ], or analyzed the impact of specific parks on the surrounding microclimate based on the field meteorological observation data [ 39 , 40 , 41 , 42 ]).…”

Section: Introductionmentioning

confidence: 99%

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Min

et al. 2022

IJERPH

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The mitigation effects of park green space on Urban Heat Island (UHI) have been extensively documented. However, the relative effects of the configuration of park components on land surface temperature (LST) inside the park and indicators (i.e., park cooling intensity and distance) surrounding the park is largely unknown. Therefore, the main objective of this study is to explore the quantitative impacts of configuration and morphology features under different urban park scales on the cooling effect. In this study, based on Landsat-8 OLI/TIRS images on 3 August 2015 and 16 August 2020 during summer daytime, the LSTs of Shanghai City were retrieved by atmospheric correction method. Then, the relationships of park landscape features with LSTs in the park and typical indicators representing cooling efficiency of 24 parks on different grades were analyzed. The results showed that the average temperature in urban parks was, respectively, 1.46 °C and 1.66 °C lower than that in the main city of Shanghai in 2015 and 2020, suggesting that urban parks form cold islands in the city. The landscape metrics of park area (PA), park perimeter (PP), green area (GA) and water area (WA), were key characteristics that strong negatively affect the internal park LSTs. However, the park perimeter-to-area ratio (PPAR) had a significant positive power correlation with the park LSTs. Buffer zone analysis showed that LST cools down by about 0.67 °C when the distance from the park increases by 100 m. The Maximum Cooling Distance (MCD) for 2015 and 2020 had a significant correlation with PA, PC, PPAR, GA and WA, and increased sharply within the park area of 20 ha. However, the medium park group had the largest Maximum Cooling Intensity (MCI) in both periods, followed by the small park group. There could be a trade-off relationship between the MCD and MCI in urban parks, which is worth pondering to research. This study could be of great significance for planning and constructing park landscapes, alleviating Urban Heat Island effect and improving urban livability.

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Section: Introductionmentioning

confidence: 99%

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Min

et al. 2022

IJERPH

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“…If this decrease continues in the future, city dwellers will be faced with shortage of green space and agricultural lands. Willie et al (2019) illustrated the spatial pattern of land surface thermal characteristics and urban growth in King Williams Town. The results showed that urban growth changed the land cover in this city between the years 1995 and 2018.…”

Section: Theory and Methodologymentioning

confidence: 99%

Investigating Land Use Change in Kabul, Afghanistan

Hussaini¹,

Farhadi²,

Hosseini³

et al. 2022

JSSP

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Land use change and land cover are considered as some of the important and effective factors of global environmental change. Therefore, understanding and predicting the causes, processes, and consequences of land use change has become a major global challenge. Kabul is the most populated city in Afghanistan. The face of Kabul has changed after a relatively peaceful period since 2001. The purpose of this study is to analyze land use change in Kabul from 2001 to 2019. We used the quantitative approach to analyse data provided by satellite images of Kabul in 2001 and 2019 from Landsat 8 and 7. Data was processed in ERDAS IMAGINE and Arc Map software to results in the final output. Urban land cover was classified into four classes, namely built-up area, green area, empty space, and mountain, and land cover changes were detected. The results of the image comparison between 2001 and 2019 show that the aggregated built-up area and empty space land cover increased by 69.1749 sq km and, correspondingly, 45.2538 sq km, whereas the green area decreased by 113.4216 sq km. We concluded that land cover has changed improperly. The rate of urban green space per individual is currently very low. These results indicate that the city is in a critical urban situation and the government should provide a comprehensive plan for controlling urban growth and fixing the problems caused by improper land use change in the city.

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“…MNDWI has a certain effect on the UHI because of its large specific heat capacity. NDBI was selected as an index to characterize urban architecture, and it has a significant relationship with RHI 56 . Thus, WSA, EVI, MNDWI, and NDBI have been selected as the surface biophysical factors affecting the RHI.…”

Section: Methodsmentioning

confidence: 99%

Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands

Chen

Liu

et al. 2021

Sci Rep

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The development of urban accumulations in recent decades has led to the transformation of urban heat islands (UHI) into regional heat islands (RHI). The contributions of the biophysical, climate, and socioeconomic factors to RHI in urban agglomeration remain poorly understood. Here Yangtze River Delta urban agglomeration (YRDUA) in eastern China has been selected as a case area to explore the influences trends, of the influencing factors to RHI by using MODIS data from 2003 to 2017. Results showed that, in summer, the area fraction of daytime RHI in YRDUA has increased from 21.74 to 31.03% in 2003 and 2017, respectively. As compared to 2003, the annual nighttime RHI area in 2017 has increased from 7510 to 20,097 km2. The dominant factors of surface RHI intensity (SRHII) showed seasonal variation. Enhanced vegetation index (EVI) (interpretation of 33.27%) was the dominant factor of daytime SRHII in spring. The most important factor was normalized difference build-up density (NDBI) (37.28% and 26.83%, respectively) in summer and autumn. In winter, precipitation (26.16%) was the most influential. At night, Modified Normalized Difference Water Index (MNDWI) had a dominant effect on SRHII in spring (54.12%), autumn (52.62%), and winter (24.19%). The dominant factor of nighttime SRHII in summer was EVI (42%). Moreover, water bodies harm RHI during the day while having a positive effect at night. These findings can provide a theoretical basis for regional environment improvement and regional sustainable development.

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Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS

Cited by 29 publications

References 31 publications

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Investigating Land Use Change in Kabul, Afghanistan

Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands

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