Synergies between Urban Heat Island and Urban Heat Wave Effects in 9 Global Mega-Regions from 2003 to 2020

Wei, Chunzhu; Chen, Wei; Lu, Yang; Blaschke, Thomas; Peng, Jian; Xue, Dayuan

doi:10.3390/rs14010070

Cited by 20 publications

(14 citation statements)

References 111 publications

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“…This is a rate of warming between the range (0.57 and 0.37 • C/decade) reported by [34]. Another study [73] reports a UHI of 1.94 • C; however, they cover a larger area than the VMB present in this study.…”

Section: Analysis Of the Climate Change Indicessupporting

confidence: 45%

Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Montero-Martínez

Andrade-Velázquez

2022

Atmosphere

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This study analyzes 50 annual climate change indices related to temperature and precipitation in the Valley of Mexico basin for the period 1951–2010. First, a quality and homogenization analysis of 90 weather stations (categorized as urban, suburban, and rural) in the basin was performed using the Climatol algorithm. The non-parametric Mann–Kendall test and the Sen’s slope method were applied to determine the existence of a trend and to estimate the magnitude of the change in extreme climate indices, respectively. To eliminate the serial correlation problem, the lag-1 method and the Patakamuri tests were used. Statistically significant positive trends were found for SU, TMm, TNm, TNn, TX90p, and WSDI, as well as negative ones for FD, TX10p, TN10p, CSDI, and HDDheat18. The results seem to support an influence of anthropogenic global warming on the study region, rather than local effects of urbanization. However, it is likely that some significant differences in the urban change rate of some indices could be due to local effects, such as the difference in land cover that occurs between urban and rural stations. Not enough statistically significant results were found for the climate change indices related to precipitation in most of the stations. Compared to other studies in the Mexico City area, the main contribution of this study is the analysis of 50 climate indices in a 60-year period working with a quality-controlled and homogenized database.

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Section: Analysis Of the Climate Change Indicessupporting

confidence: 45%

Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Montero-Martínez

Andrade-Velázquez

2022

Atmosphere

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“…The only way to measure and quantify the UHI with remote sensing data is through the Surface Urban Heat Island (SUHI) effect, which is the difference between the LST over urban areas relative to neighboring nonurban areas [2]. In most cases, this difference is positive, which was also reflected in our reviewed studies [64,66,67,[81][82][83]85,93,98,102,110,124,128,129,133,137]. However, in arid climates, where the non-urban environment is not covered by vegetation, it can also be negative [75,76,132,139], which is referred to as an urban heat sink.…”

Section: Anthropospherementioning

confidence: 69%

“…Some of the reviewed studies emphasize the role of parks, forests and lakes as a cooling factor for the cities affected by the SUHI [64,74,79,81,94,97,100,102,105,106,110,123,125,129,131,138,141]. On the other hand, an increase in SUHI intensity and hot day frequency can be directly attributed to increased urban density [89,133,142,143,167,168]. A second factor is the urban landscape, where high buildings and trees can have a shading effect on the thermal environment [74,102,110,112,122].…”

Section: Anthropospherementioning

confidence: 99%

“…Furthermore, the LST can be used to quantify the heat stress inside urban areas, which is expected to be more severe in the future due to global warming [2,160]. Wei et al [133] reported an increase in hot day frequency between 0.59% and 7.17% in global megacities between 2003 and 2020. For the heat wave in June 2018, extreme LSTs were reported over Los Angeles county [95].…”

Section: Anthropospherementioning

confidence: 99%

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Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

2023

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Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications of LST in the context of global change. By filtering a selection of relevant keywords, a total of 164 articles from 14 international journals published during the last two decades were analyzed based on study location, research topic, applied sensor, spatio-temporal resolution and scale and employed analysis methods. It was revealed that China and the USA were the most studied countries and those that had the most first author affiliations. The most prominent research topic was the Surface Urban Heat Island (SUHI), while the research topics related to climate change were underrepresented. MODIS was by far the most used sensor system, followed by Landsat. A relatively small number of studies analyzed LST dynamics on a global or continental scale. The extensive use of MODIS highly determined the study periods: A majority of the studies started around the year 2000 and thus had a study period shorter than 25 years. The following suggestions were made to increase the utilization of LST time series in climate research: The prolongation of the time series by, e.g., using AVHRR LST, the better representation of LST under clouds, the comparison of LST to traditional climate change measures, such as air temperature and reanalysis variables, and the extension of the validation to heterogenous sites.

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“…The thermal infrared (TIR) bands are the significant channels for land surface temperature retrieval [1,2] and urban heat island effect monitoring [3][4][5], as well as croplands evapotranspiration studies [6][7][8]. In the past few decades, TIR remote sensing has been developed rapidly.…”

Section: Introductionmentioning

confidence: 99%

A TIR-Visible Automatic Registration and Geometric Correction Method for SDGSAT-1 Thermal Infrared Image Based on Modified RIFT

et al. 2022

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High-resolution thermal infrared (TIR) remote sensing images can more accurately retrieve land surface temperature and describe the spatial pattern of urban thermal environment. The Thermal Infrared Spectrometer (TIS), which has high spatial resolution among spaceborne thermal infrared sensors at present, and global data acquisition capability, is one of the sensors equipped in the SDGSAT-1. It is an important complement to the existing international mainstream satellites. In order to produce standard data products, rapidly and accurately, the automatic registration and geometric correction method needs to be developed. Unlike visible–visible image registration, thermal infrared images are blurred in edge details and have obvious non-linear radiometric differences from visible images, which make it challenging for the TIR-visible image registration task. To address these problems, homomorphic filtering is employed to enhance TIR image details and the modified RIFT algorithm is proposed to achieve TIR-visible image registration. Different from using MIM for feature description in RIFT, the proposed modified RIFT uses the novel binary pattern string to descriptor construction. With sufficient and uniformly distributed ground control points, the two-step orthorectification framework, from SDGSAT-1 TIS L1A image to L4 orthoimage, are proposed in this study. The first experiment, with six TIR-visible image pairs, captured in different landforms, is performed to verify the registration performance, and the result indicates that the homomorphic filtering and modified RIFT greatly increase the number of corresponding points. The second experiment, with one scene of an SDGSAT-1 TIS image, is executed to test the proposed orthorectification framework. Subsequently, 52 GCPs are selected manually to evaluate the orthorectification accuracy. The result indicates that the proposed orthorectification framework is helpful to improve the geometric accuracy and guarantee for the subsequent thermal infrared applications.

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Synergies between Urban Heat Island and Urban Heat Wave Effects in 9 Global Mega-Regions from 2003 to 2020

Cited by 20 publications

References 111 publications

Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

A TIR-Visible Automatic Registration and Geometric Correction Method for SDGSAT-1 Thermal Infrared Image Based on Modified RIFT

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