Effects of landscape composition and patterns on land surface temperature: Urban heat island case study for Nigde, Turkey

Soydan, Orhun

doi:10.1016/j.uclim.2020.100688

Cited by 57 publications

(20 citation statements)

References 33 publications

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“…Changes in urban location, the density of built-up areas, surface materials, and industrial activities can lead to dramatic LST changes. LST varies considerably between different types of land cover [ 31 , 32 , 33 , 34 ]. As mentioned previously, taking 21 January 2020 and 16 August 2020 as examples, the differences between the four algorithms were analyzed by calculating the average temperature difference on different land cover types with the MODIS products (taking absolute values).…”

Section: Resultsmentioning

confidence: 99%

A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China

Yue

Lin

2021

IJERPH

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In the trend of global warming and urbanization, frequent extreme weather has a severe impact on the lives of citizens. Land Surface Temperature (LST) is an essential climate variable and a vital parameter for land surface processes at local and global scales. Retrieving LST from global, regional, and city-scale thermal infrared remote sensing data has unparalleled advantages and is one of the most common methods used to study urban heat island effects. Different algorithms have been developed for retrieving LST using satellite imagery, such as the Radiative Transfer Equation (RTE), Mono-Window Algorithm (MWA), Split-Window Algorithm (SWA), and Single-Channel Algorithm (SCA). A case study was performed in Shanghai to evaluate these existing algorithms in the retrieval of LST from Landsat-8 images. To evaluate the estimated LST accurately, measured data from meteorological stations and the MOD11A2 product were used for validation. The results showed that the four algorithms could achieve good results in retrieving LST, and the LST retrieval results were generally consistent within a spatial scale. SWA is more suitable for retrieving LST in Shanghai during the summer, a season when the temperature and the humidity are both very high in Shanghai. Highest retrieval accuracy could be seen in cultivated land, vegetation, wetland, and water body. SWA was more sensitive to the error caused by land surface emissivity (LSE). In low temperature and a dry winter, RTE, SWA, and SCA are relatively more reliable. Both RTE and SCA were sensitive to the error caused by atmospheric water vapor content. These results can provide a reasonable reference for the selection of LST retrieval algorithms for different periods in Shanghai.

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Section: Resultsmentioning

confidence: 99%

A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China

Yue

Lin

2021

IJERPH

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“…The overloaded West Lake tourism was also considered a contribution to the emergence of heat islands in West Lake and its neighboring areas. Previous studies have shown the significant cooling effects of urban greenspace on LST [73][74][75]. Nonetheless, the PLAND of CV, which corresponds closely to the LST [76][77][78], was not considered as a predictor variable in the linear regression models.…”

Section: Discussionmentioning

confidence: 99%

Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing

Zheng

Hou

et al. 2021

Remote Sensing

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The rapid urbanization worldwide has brought various environmental problems. The urban heat island (UHI) phenomenon is one of the most concerning issues because of its strong relation with daily lives. Water bodies are generally considered a vital resource to relieve the UHI. In this context, it is critical to develop a method for measuring the cooling effect and scale of water bodies in urban areas. In this study, West Lake and Xuanwu Lake, two famous natural inner-city lakes, are selected as the measuring targets. The scatter plot and multiple linear regression model were employed to detect the relationship between the distance to the lake and land surface temperature based on Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Sentinel-2 data. The results show that West Lake and Xuanwu Lake massively reduced the land surface temperature within a few hundred meters (471 m for West Lake and 336 m for Xuanwu Lake) and have potential cooling effects within thousands of meters (2900 m for West Lake and 3700 m for Xuanwu Lake). The results provide insights for urban planners to manage tradeoffs between the large lake design in urban areas and the cooling effect demands.

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“…Several anthropogenic and natural features in an urban centre influence the thermal condition of its microclimates (Soydan, 2020). The features lead to higher or lower thermal conditions of the urban environments.…”

Section: Discussionmentioning

confidence: 99%

“…In the context of the hot and dry urban climate, MRT changes due to the absence or less vegetation in the region (Soydan, 2020). The need for vegetation on campuses in such areas deemed essential to reduce the intensity of the MRT.…”

Section: Mean Radiant Temperaturementioning

confidence: 99%

“…An increase in these two climatic parameters tends to worsen the thermal conditions of a microclimate. Air temperature (Adunola, 2014) and the MRT remain the dominant climatic parameters affecting the outdoor thermal state in the hot and dry regions (Soydan, 2020), especially in Nigeria. In Nigeria, the hot and dry region possesses the highest degree of air temperature and MRT.…”

Section: Introductionmentioning

confidence: 99%

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Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

Abdulkarim¹,

Ghafar²,

Lai³

et al. 2021

JST

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Frequent increases in temperature and related consequences have been the trending phenomenon for over ten decades, with a general rise of about 0.740C. This study evaluates the effects of different percentage covers of tree canopies for outdoor thermal improvement of campus areas in Bauchi, Nigeria. Firstly, the study involves on-site measurement of existing features on the site and the climatic conditions. Secondly, performing simulation for evaluation of the plant-surface-atmosphere interactions with Envi-met Version 4.4.2. The vegetation effects were evaluated for outdoor air temperature and mean radiant temperature (MRT) reduction. It is found that the maximum air temperature reduction of 3.380C and 24.240C of MRT were achieved with up to 45% tree canopy coverage. The mean air temperature and MRT reduction of 0.630C and 4.800C were respectively achieved with the same percentage coverage of the canopies. However, it was found that the thermal reduction effects of vegetation do not apply to every hour of the day. In essence, proper planning and implementation of campus outdoor spaces is the key factor in improving its thermal conditions. Thus, adhering to the practical recommendations bring a significant improvement in ameliorating the rise in atmospheric temperature on campus outdoors.

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Effects of landscape composition and patterns on land surface temperature: Urban heat island case study for Nigde, Turkey

Cited by 57 publications

References 33 publications

A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China

A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China

Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing

Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

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