Examining the Association between Physical Characteristics of Green Space and Land Surface Temperature: A Case Study of Ulsan, Korea

Park, Jong-Hwa; Cho, Gi-Hyoug

doi:10.3390/su8080777

Cited by 35 publications

(22 citation statements)

References 39 publications

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“…As widely confirmed from literature [13][14][15]41], urban greenery mitigates SUHI: in the new district, from summer 2000 to summer 2016, the mean NDVI computed from satellite data increased from 0.19 to 0.23. Furthermore, a three-level underground car park was constructed and a significant part of the roadway transferred underground, thereby avoiding the temperature increase linked to the heat generated by the circulating vehicles on the corresponding area.…”

Section: Resultssupporting

confidence: 64%

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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Abstract:In recent years, many new districts in urban centres have been planned and constructed to reshape the structure and functions of specific areas. Urban regeneration strategies, planning and design principles have to take into account both socioeconomic perspectives and environmental sustainability. A district located in the historical city centre of Terni (Italy), Corso del Popolo, was analysed to assess the construction effects in terms of surface urban heat island (SUHI) mitigation. This district is an example of urban texture modification planned in the framework of the regeneration of the ancient part of the town. The changes were realised starting from 2006; the new area was completed on June 2014. The analysis was carried out by processing Landsat 7 ETM+ images before and after the interventions, retrieving land surface temperature (LST) and albedo maps. The map analysis proved the SUHI reduction of the new area after the interventions: as confirmed by the literature, such SUHI mitigation can be ascribed to the presence of green areas, the underground parking, the partial covering of the local roadway and the shadow effect of new multi-storey buildings. Moreover, an analysis of other parameters linked to the impervious surfaces (albedo, heat transfer and air circulation) driving LST variations is provided to better understand SUHI behaviour at the district level. The district regeneration shows that wisely planned and developed projects in the construction sector can improve urban areas not only economically and socially, but can also enhance the environmental impact.

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Section: Resultssupporting

confidence: 64%

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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“…The effects of trees have been studied at various scales, such as the forest, park, and individual tree levels. For example, the influences of green space shape and size on biodiversity (Watts et al 2010;Yuan et al 2014;Canedoli et al 2018) and urban temperature reduction (Lee et al 2009;Kong et al 2014;Lin et al 2015;Park and Cho 2016) have been quantified in many studies. The effects of the vertical structure and the horizontal distribution of green spaces were also quantified in relation to urban biodiversity (Nielsen et al 2013;Lerman et al 2014;Rush et al 2014), heat reduction (de Abreu-Harbich et al 2015;Park et al 2018), and carbon stock (Anaya et al 2009;Song 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimating the heights and diameters at breast height of trees in an urban park and along a street using mobile LiDAR

et al. 2019

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Because trees can positively influence local environments in urban ecosystems, it is important to measure their morphological characteristics, such as height and diameter at breast height (DBH). However, measuring these data for each individual tree is a time-consuming process that requires a great deal of manpower. In this study, we investigated the feasibility of using mobile LiDAR to estimate tree height and DBH along urban streets and in urban parks. We compared measurements from a mobile LiDAR unit with field measurements of tree height and DBH in urban parks and streets. The height-above-ground and Pratt circle fit methods were applied to calculate tree height and DBH, respectively. The LiDAR-estimated tree heights were highly accurate albeit slightly underestimated, with a root mean square error of 0.359 m for the street trees and 0.462 m for the park trees. On the other hand, the estimated DBHs were moderately accurate and overestimated, with a root mean square error of 3.77 cm for the street trees and 8.95 cm for the park trees. Densely planted trees in the park and obstacles in urban areas result in "shadows" (areas with no data), reducing accuracy. Irregular trunk shapes and scanned data that did not include full data point coverage of every trunk were the reasons for the errors. Despite these errors, this study highlights the potential of tree measurements obtained with mobile terrestrial LiDAR platforms to be scaled up from point-based locations to neighborhood-scale and city-scale inventories.

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“…Studies on the effects of urban parks have mainly focused on the green effect such as reducing the heat island phenomenon and pollution abatement [1][2][3], or psychological perspectives such as restoration, satisfaction, and preference [4][5][6]. These studies highlight the positive environmental effects of urban parks, and have contributed to the development of urban parks and related fields.…”

Section: Introductionmentioning

confidence: 99%

Mapping the Distribution Pattern of Gentrification near Urban Parks in the Case of Gyeongui Line Forest Park, Seoul, Korea

et al. 2017

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Abstract:The objective of this study was to map the distribution pattern of gentrification, showing the adverse effect of urban parks. The study adopted the perspective that urban parks, which have thus far been featured in urban planning without much criticism, may actually bring about unintended effects. This study employed a theory of gentrification that has received increasing interest in urban sociology to investigate the other side of the gentrification phenomenon. We identified urban parks as the cause of the gentrification from the start, and verified and visualised the phenomenon in the case of the Gyeongui Line Forest Park. We determined that the area with the higher possibility of gentrification was that within 600 m of the park. Big data accumulated over the past decade were used to prepare a proactive, systematic procedure to address gentrification, which is materialising in diverse forms. Through this study, we contribute to debates on the environmental justice of urban parks. Small changes in urban space can strongly affect our healthy lifestyles and urban sustainability. From this perspective, our study's research process and its results could provide indications of how to structure and manage new urban planning projects in the future.

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Examining the Association between Physical Characteristics of Green Space and Land Surface Temperature: A Case Study of Ulsan, Korea

Cited by 35 publications

References 39 publications

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Estimating the heights and diameters at breast height of trees in an urban park and along a street using mobile LiDAR

Mapping the Distribution Pattern of Gentrification near Urban Parks in the Case of Gyeongui Line Forest Park, Seoul, Korea

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