ASTER‐based study of the night‐time urban heat island effect in Metro Manila

Tiangco, M.; Lagmay, A. M. F. A.; Argete, Josefina C.

doi:10.1080/01431160701408360

Cited by 84 publications

(49 citation statements)

References 40 publications

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“…Many studies following this approach found a negative correlation between vegetation indices such as NDVI (normalized difference vegetation index) and temperature (Hung et al, 2006;Tiangco et al, 2008). This is consistent with the hypothesis that green cover may be effective in reducing temperature.…”

Section: Introductionsupporting

confidence: 61%

Urban greening to cool towns and cities: A systematic review of the empirical evidence

Bowler

Buyung-Ali

Knight

et al. 2010

Landscape and Urban Planning

2,115

931

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Section: Introductionsupporting

confidence: 61%

Urban greening to cool towns and cities: A systematic review of the empirical evidence

Bowler

Buyung-Ali

Knight

et al. 2010

Landscape and Urban Planning

2,115

931

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“…The decreasing vegetation and increasing impervious surfaces can increase heat stored during daytime. Therefore, more heat will be released from impervious surfaces during nighttime, leading to the increasing nighttime SUHII [25,55]. One unique phenomenon was that the SUHII was significantly negatively correlated with ∆EVI at 4 of 10 cities in winter nights.…”

Section: The Relationships Between Suhii and ∆Evimentioning

confidence: 87%

Urbanization Effects on Vegetation and Surface Urban Heat Islands in China’s Yangtze River Basin

et al. 2017

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Abstract:In the context of rapid urbanization, systematic research about temporal trends of urbanization effects (UEs) on urban environment is needed. In this study, MODIS (Moderate Resolution Imaging Spectroradiometer) land surface temperature (LST) data and enhanced vegetation index (EVI) data were used to analyze the temporal trends of UEs on vegetation and surface urban heat islands (SUHIs) at 10 big cities in Yangtze River Basin (YRB), China during 2001-2016. The urban and rural areas in each city were derived from MODIS land cover data and nighttime light data. It was found that the UEs on vegetation and SUHIs were increasingly significant in YRB, China. The ∆EVI (the UEs on vegetation, urban EVI minus rural EVI) decreased significantly (p < 0.05) in 9, 7 and 5 out of 10 cities for annual, summer and winter, respectively. The annual daytime and nighttime SUHI intensity (SUHII; urban LST minus rural LST) increased significantly (p < 0.05) in 10 and 4 out of 10 cities, respectively. The increasing rate of daytime SUHII and the decreasing rate of ∆EVI in old urban areas were much less than the whole urban area (0.034 • C/year vs. 0.077 • C/year for annual daytime SUHII; 0.00209/year vs. 0.00329/year for ∆EVI). The correlation analyses indicated that the annual and summer daytime SUHII were significantly negatively correlated with ∆EVI in most cities. The decreasing ∆EVI may also contribute to the increasing nighttime SUHII. In addition, the significant negative correlations (r < −0.5, p < 0.1) between inter-annual linear slope of ∆EVI and SUHII were observed, which suggested that the cities with higher decreasing rates of ∆EVI may show higher increasing rates of SUHII.

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“…Airborne acquired high-resolution images were also used to assess the thermal determiners of urban surfaces such as sky view factor and surface materials [19]. The ASTER is another sensor of the TIR image that collects both daytime and night-time data and has been used for determining the UHI effect in many cities [56][57][58].…”

Section: Satellite Measurements Of Urban Heat Islandmentioning

confidence: 99%

A Review on Remote Sensing of Urban Heat and Cool Islands

Rasul

Balzter

Smith

et al. 2017

Land

128

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Abstract:The variation between land surface temperature (LST) within a city and its surrounding area is a result of variations in surface cover, thermal capacity and three-dimensional geometry. The objective of this research is to review the state of knowledge and current research to quantify surface urban heat islands (SUHI) and surface urban cool islands (SUCI). In order to identify open issues and gaps remaining in this field, we review research on SUHI/SUCI, the models for simulating UHIs/UCIs and techniques used in this field were appraised. The appraisal has revealed some great progress made in surface UHI mapping of cities located in humid and vegetated (temperate) regions, whilst few studies have investigated the spatiotemporal variation of surface SUHI/SUCI and the effect of land use/land cover (LULC) change on LST in arid and semi-arid climates. While some progress has been made, models for simulating UHI/UCI have been advancing only slowly. We conclude and suggest that SUHI/SUCI in arid and semi-arid areas requires more in-depth study.

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ASTER‐based study of the night‐time urban heat island effect in Metro Manila

Cited by 84 publications

References 40 publications

Urban greening to cool towns and cities: A systematic review of the empirical evidence

Urban greening to cool towns and cities: A systematic review of the empirical evidence

Urbanization Effects on Vegetation and Surface Urban Heat Islands in China’s Yangtze River Basin

A Review on Remote Sensing of Urban Heat and Cool Islands

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