A Comparison of Multiple Datasets for Monitoring Thermal Time in Urban Areas over the U.S. Upper Midwest

Krehbiel, C. P.; Henebry, Geoffrey M.

doi:10.3390/rs8040297

Cited by 27 publications

(17 citation statements)

References 43 publications

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“…The daytime SUHII in summer was the strongest, while daytime SUHII in winter showed a contrary urban cool island phenomenon. This strongest daytime SUHI phenomenon in summer from this study is consistent with previous studies about most of the China cities [40,41], Seoul and Tokyo [38], most of the central European cities [43], and most of the USA cities [28,65]. However, the cities with surface urban cool island are usually distributed in Northern China [40,41] and high latitudes of the Northern Hemisphere (e.g., 55 • N-60 • N) [10].…”

Section: Possible Mechanisms Of Seasonal Suhii Variationssupporting

confidence: 81%

“…Although the pattern of daytime SUHII was consistent with prior research and with less uncertainty [28,38,40,41,43,65], relatively large uncertainty existed in the pattern of nighttime SUHII. The nighttime SUHII in summer was lowest, which was consistent with most of the previous studies [40,66,75], but not consistent with the study of [76].…”

Section: Uncertaintiessupporting

confidence: 72%

“…Furthermore, relatively limited optimal winter LST values may increase the winter SUHII uncertainty, and our study was for the multi-year average situation, not for a single year [76], thus inter-annual variations may affect the SUHII pattern. Additionally, the variations in city size and latitudes where cities are located could also affect the mechanism of the seasonal variation of SUHII [28,43,65]. Additional studies need to explore this in the future.…”

Section: Uncertaintiesmentioning

confidence: 99%

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Different Patterns in Daytime and Nighttime Thermal Effects of Urbanization in Beijing-Tianjin-Hebei Urban Agglomeration

et al. 2017

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Surface urban heat island (SUHI) in the context of urbanization has gained much attention in recent decades; however, the seasonal variations of SUHI and their drivers are still not well documented. In this study, the Beijing-Tianjin-Hebei (BTH) urban agglomeration, one of the most typical areas experiencing drastic urbanization in China, was selected to study the SUHI intensity (SUHII) based on remotely sensed land surface temperature (LST) data. Pure and unchanged urban and rural pixels from 2000 to 2010 were chosen to avoid non-concurrency between land cover data and LST data and to estimate daytime and nighttime thermal effects of urbanization. Different patterns of the seasonal variations were found in daytime and nighttime SUHIIs. Specifically, the daytime SUHII in summer (4 • C) was more evident than in other seasons while a cold island phenomenon was found in winter; the nighttime SUHII was always positive and higher than the daytime one in all the seasons except summer. Moreover, we found the highest daytime SUHII in August, which is the growing peak stage of summer maize, while nighttime SUHII showed a trough in the same month. Seasonal variations of daytime SUHII showed higher significant correlations with the seasonal variations of ∆LAI (leaf area index) (R 2 = 0.81, r = −0.90) compared with ∆albedo (R 2 = 0.61, r = −0.78) and background daytime LST (R 2 = 0.69, r = 0.83); moreover, agricultural practices (double-cropping system) played an important role in the seasonal variations of daytime SUHII. Seasonal variations of the nighttime SUHII did not show significant correlations with either of seasonal variations of ∆LAI, ∆albedo, and background nighttime LST, which implies different mechanisms in nighttime SUHII variation needing future studies.

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Section: Possible Mechanisms Of Seasonal Suhii Variationssupporting

confidence: 81%

Section: Uncertaintiessupporting

confidence: 72%

Section: Uncertaintiesmentioning

confidence: 99%

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Different Patterns in Daytime and Nighttime Thermal Effects of Urbanization in Beijing-Tianjin-Hebei Urban Agglomeration

et al. 2017

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“…Near‐surface air temperature is of greater importance than LST in terms of human health and comfort, which in the case of Boston have been reported from 0.13°C (spring daytime) up to 2.9°C (summer nighttime) higher in urban areas compared to rural (Wang et al, ). The relationship between LST and near‐surface air temperature in the UHI is complex, and can vary greatly depending on diurnal and seasonal timing and on characteristics of the underlying land surface fabric (Krehbiel & Henebry, ; Wang et al, ). Given these complexities, the specific contribution of albedo changes to land‐ or near‐surface temperature differences across this region cannot be precisely modeled with the data prepared for this study.…”

Section: Resultsmentioning

confidence: 99%

Albedo, Land Cover, and Daytime Surface Temperature Variation Across an Urbanized Landscape

et al. 2017

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Land surface albedo is a key parameter controlling the local energy budget, and altering the albedo of built surfaces has been proposed as a tool to mitigate high near‐surface temperatures in the urban heat island. However, most research on albedo in urban landscapes has used coarse‐resolution data, and few studies have attempted to relate albedo to other urban land cover characteristics. This study provides an empirical description of urban summertime albedo using 30 m remote sensing measurements in the metropolitan area around Boston, Massachusetts, relating albedo to metrics of impervious cover fraction, tree canopy coverage, population density, and land surface temperature (LST). At 30 m spatial resolution, median albedo over the study area (excluding open water) was 0.152 (0.112–0.187). Trends of lower albedo with increasing urbanization metrics and temperature emerged only after aggregating data to 500 m or the boundaries of individual towns, at which scale a −0.01 change in albedo was associated with a 29 (25–35)% decrease in canopy cover, a 27 (24–30)% increase in impervious cover, and an increase in population from 11 to 386 km−2. The most intensively urbanized towns in the region showed albedo up to 0.035 lower than the least urbanized towns, and mean mid‐morning LST 12.6°C higher. Trends in albedo derived from 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) measurements were comparable, but indicated a strong contribution of open water at this coarser resolution. These results reveal linkages between albedo and urban land cover character, and offer empirical context for climate resilient planning and future landscape functional changes with urbanization.

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“…Thus, urban areas are usually warmer than nearby rural areas, a phenomenon recognized as the Urban Heat Island (UHI) effect [3,4]. Studies have shown that the environmental impacts of urban areas can extend well beyond administrative boundaries [5,6], and urban heat islands can increase the health risk of vulnerable populations to heat waves [7]. Intensity of the UHI effect depends on many factors, including building density, height, and arrangement; thermal and reflective properties of construction, paving, and roofing materials structures; size and arrangement of green spaces within the city; local and regional wind fields; season and time of year; and recent weather [7,8].…”

Section: Introductionmentioning

confidence: 99%

Urban–Rural Contrasts in Central-Eastern European Cities Using a MODIS 4 Micron Time Series

Tomaszewska

Henebry

2016

Remote Sensing

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Abstract:A primary impact of urbanization on the local climate is evident in the phenomenon recognized as the Urban Heat Island (UHI) effect. This urban thermal anomaly can increase the health risks of vulnerable populations to heat waves. The surface UHI results from emittance in the longer wavelengths of the thermal infrared; however, there are also urban anomalies that are detectable from radiance in the shorter wavelengths (3-5 micron) of the Middle Infrared (MIR). Radiance in the MIR can penetrate urban haze which frequently obscures urban areas by scattering visible and near infrared radiation. We analyzed seasonal and spatial variations in MIR for three Central European cities from 2003 through 2012 using Moderate Resolution Imaging Spectrometer (MODIS) band 23 (~4 micron) to evaluate whether MIR radiance could be used to characterize heat anomalies associated with urban areas. We examined the seasonality of MIR radiance over urban areas and nearby croplands and found that the urban MIR anomalies varied due to time of year: cropland MIR could be larger than urban MIR when there was more exposed soil at planting and harvest times. Further, we compared monthly mean MIR with the Normalized Difference Vegetation Index (NDVI) to analyze contrasts between urban and rural areas. We found that the seasonal dynamic range of the MIR could exceed that of the NDVI. We explored the linkage between meteorological data and MIR radiance and found a range of responses from strong to weak dependence of MIR radiance on maximum temperature and accumulated precipitation. Our results extend the understanding of the anomalous characteristics of urban areas within a rural matrix.

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A Comparison of Multiple Datasets for Monitoring Thermal Time in Urban Areas over the U.S. Upper Midwest

Cited by 27 publications

References 43 publications

Different Patterns in Daytime and Nighttime Thermal Effects of Urbanization in Beijing-Tianjin-Hebei Urban Agglomeration

Different Patterns in Daytime and Nighttime Thermal Effects of Urbanization in Beijing-Tianjin-Hebei Urban Agglomeration

Albedo, Land Cover, and Daytime Surface Temperature Variation Across an Urbanized Landscape

Urban–Rural Contrasts in Central-Eastern European Cities Using a MODIS 4 Micron Time Series

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