Assessing the impact of urban expansion to the state of thermal environment of peri-urban areas using indices

Polydoros, Anastasios; Cartalis, Constantinos

doi:10.1016/j.uclim.2015.10.004

Cited by 21 publications

(12 citation statements)

References 27 publications

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“…A multivariate nonlinear regression model relating the three parameters and LST was also developed. Following the conclusions of most research projects in this subject area [21,43,50], it was seen that in summer months NDVI-LST shows a negative correlation, while NDBI has a quite strongly positive correlation with LST. However, it is different to the persistent positive correlation trend proposed by Guo et al [47], as the current study indicated that there is a negative correlation first in the low-density areas where BD is less than 0.26, and then a positive correlation in the medium and high-density areas, between BD and Mean LST.…”

Section: Discussionmentioning

confidence: 64%

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

Wang¹,

P²,

Yang³

et al. 2018

Preprint

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Satellite-based remote sensing technologies are utilized extensively to investigate urban thermal environments under rapid urban expansion. Current MODIS data is, however, unable to adequately represent the spatially detailed information because of its relatively coarser spatial resolution, while Landsat data can’t explore temporally the refined analysis due to the low temporal resolution. In order to resolve this situation, we used MODIS and Landsat data to generate “Landsat-like” data by using the flexible spatiotemporal data fusion method (FSDAF), and then studied spatiotemporal variation of land surface temperature (LST) and its driving factors. The results showed that 1) The estimated “Landsat-like” data have high precision; 2) By comparing 2013 and 2016 datasets, LST increases ranging from 1.8°C to 4°C were measurable in areas where the impervious surface area (ISA) increased, while LST decreases ranging from -3.52°C to -0.70°C were detected in areas where ISA decreased; 3) LST has a strongly negative relationship with the Normalized Difference Vegetation Index (NDVI), and a strongly positive relationship with Normalized Difference Built Index (NDBI) in summer; and 4) LST is well correlated with Building density (BD), in a complex conic mode, and LST may increase by 0.460°C to 0.786°C when BD increases by 0.1. Our findings can provide information useful for mitigating undesirable thermal conditions and for long-term urban thermal environmental management.

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Section: Discussionmentioning

confidence: 64%

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

Wang¹,

P²,

Yang³

et al. 2018

Preprint

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“…The "builtup indices" were chosen as these can distinguish the urban areas against the water bodies and vegetated area. This unsupervised classification brings the advantage of limiting the operator's subjective intervention in the mapping process [30]. The normalised difference built-up index (NDBI) [31] and the built-up index (BUI) [32] were used here are based on the spectral response of built-up areas due to their higher reflectance in the middle infrared wavelength range than in the near-infrared wavelength range.…”

Section: Methodsmentioning

confidence: 99%

Contribution of Earth Observation and Geospatial Information for Urban Planning of Historic Cities’ Centres: The Case Study of Nicosia, Cyprus

Cuca

Αγαπίου

2021

Sustainability

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The Sustainable Development Goals (SDGs) of the United Nations state that cities and human settlements need to be more inclusive, safe and resilient. In Europe cities have experienced dramatic physical, social and economic changes during the last decades while historic centres of European cities, among the most important assets of the European cultural heritage, are living paradoxes. They are defined as “a collection of beauty, icon of well-being, model of sustainability, but abandoned”. This study investigates the changes in the urban landscape of Nicosia, a particular historical centre in the Mediterranean region (Cyprus). The city centre is characterised by exceptionally well-preserved Venetian fortifications. Due to political circumstances, the capital of Cyprus, Nicosia, is still divided and has been ruled by two different administrations for several decades. This study used optical multi-spectral satellite datasets processing, like the Landsat and the most recent Sentinel-2 products, to detect, identify and characterise significant morphological transformations within the walled city and around it. This paper’s central thesis promotes a more systematic use of earth observation products and derivatives in decision-making processes that regard planning, use and management of urban resources in Europe, especially in support of urban planning strategies of historic cities.

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“…It not only converts natural landscape to built‐up land, but also drives other land use conversions to satisfy the demands of human living and industrial production (Du & Huang, ; Zope, Eldho, & Jothiprakash, ), accompanying with directly and indirectly fragmenting habitat and biophysical attributes of landscape (Hutyra, Yoon, Hepinstall‐Cymerman, & Alberti, ). Thus, it is always associated with negative impacts, such as poverty, poor health (Tzoulas et al, ), climate change (Polydoros & Cartalis, ), biodiversity loss (Delphin, Escobedo, Abd‐Elrahman, & Cropper, ), increased localized flooding (Du & Huang, ; Zope et al, ) and temperature growth (Tratalos, Fuller, Warren, Davies, & Gaston, ). As indicated by previous studies, clarifying the impacts of urbanization is one important premise for urban planning, which is useful in reducing the negative impacts and protecting environment.…”

Section: Introductionmentioning

confidence: 99%

Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH‐3r model and InVEST model

Lyu

Zhang

et al. 2019

Ecological Research

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Modeling the impacts of urbanization on carbon storage has become a critical and hot topic in the fields of mitigating global warming. This study coupled urban expansion and land use change simulation and prediction model (SLEUTH‐3r model) and ecosystem service evaluation model (InVEST model) to analyze and predict the impacts of urbanization on carbon storage in Shizuishan, a city located in the northwestern of China. Scenarios analysis was used to compare the effects of different policies on carbon storage, while the policies concern about urban growth pattern, ecological protection and socioeconomic development. The results suggested that (1) the coupled model can predict carbon storage change with urbanization in a high accuracy (relative error within ±5% for 94.6% of the whole area); (2) carbon storage of Shizuishan experienced a loss of 2.70 Tg in 1989–2015, and would continue to experience a loss of 6.18 Tg, 5.27 Tg, 3.76 Tg and 2.47 Tg under historical growth scenario (HGS), decrease socioeconomic scenario (DSS), compact growth scenario (CGS) and ecological protection scenario (EPS) in 2015–2035, respectively; (3) compact urban growth pattern and ecological protection policy can both decrease the negative effects of urbanization on carbon storage. Multiple ecosystem services should be integrated into urban planning to achieve a balance of socioeconomic development and environment protection.

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Assessing the impact of urban expansion to the state of thermal environment of peri-urban areas using indices

Cited by 21 publications

References 27 publications

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

Contribution of Earth Observation and Geospatial Information for Urban Planning of Historic Cities’ Centres: The Case Study of Nicosia, Cyprus

Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH‐3r model and InVEST model

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