Remotely sensed thermal information applied to urban climate analysis

Pongrácz, Rita; Bartholy, Judit; Dezső, Zsuzsanna

doi:10.1016/j.asr.2005.06.069

Cited by 68 publications

(25 citation statements)

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“…MODIS LST is ideal data to study the UHI at the regional scale [35][36][37][38], and the absolute bias is less than 1 K [39][40][41]. We used the MOD11A2 LST data (8-day composite, 1000 m spatial resolution, from 2001 to 2015) to detect the temporal variations of UHII in the study area.…”

Section: Modis Lst Datamentioning

confidence: 99%

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

et al. 2017

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Abstract:The urbanization effects on land surface phenology (LSP) have been investigated by many studies, but few studies have focused on the temporal variations of urbanization effects on LSP. In this study, we used the Moderate-resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), MODIS Land Surface Temperature (LST) data and China's Land Use/Cover Datasets (CLUDs) to investigate the temporal variations of urban heat island intensity (UHII) and urbanization effects on LSP in Northeast China during 2001-2015. LST and phenology differences between urban and rural areas represented the urban heat island intensity and urbanization effects on LSP, respectively. A Mann-Kendall nonparametric test and Sen's slope were used to evaluate the trends of urbanization effects on LSP and urban heat island intensity. The results indicated that the average LSP during 2001-2015 was characterized by high spatial heterogeneity. The start of the growing season (SOS) in old urban areas had become earlier and earlier compared to rural areas, and the differences in SOS between urbanized areas and rural areas changed greatly during 2001-2015 (−0.79 days/year, p < 0.01). Meanwhile, the length of the growing season (LOS) in urban and adjacent areas had become increasingly longer than rural areas, especially in urbanized areas (0.92 days/year, p < 0.01), but the differences in the end of the growing season (EOS) between urban and adjacent areas did not change significantly. Next, the UHII increased in spring and autumn during the whole study period. Moreover, the correlation analysis indicated that the increasing urban heat island intensity in spring contributed greatly to the increases of urbanization effects on SOS, but the increasing urban heat island intensity in autumn did not lead to the increases of urbanization effects on EOS in Northeast China.

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Section: Modis Lst Datamentioning

confidence: 99%

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

et al. 2017

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“…The interaction between LCTs and climatic variability is so complex that advanced models are required to describe this process, especially for urban-rural areas. Since the change from nature areas to impervious areas can result in significant regional climate changes, urban thermal environments have been identified in some studies from the perspective of the scientific community for meteorology and remote sensing [3][4][5]. The differences in surface temperature between urban areas and surrounding rural areas, a phenomenon termed as urban heat island (UHI) effect and due to urbanization, have been widely observed [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

Liu

Zhang

et al. 2015

Remote Sensing

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Abstract:The urban heat island (UHI) effect resulting from rapid urbanization generally has a negative impact on urban residents. Shijiazhuang, the capital of Hebei Province in China, was selected to assess surface thermal patterns and its correlation with Land Cover Types (LCTs). This study was conducted using Landsat TM images on the mesoscale level and airborne hyperspectral thermal images on the microscale level. Land surface temperature (LST) was retrieved from four scenes of Landsat TM data in the summer days to analyze the thermal spatial patterns and intensity of surface UHI (SUHI). Surface thermal characteristics were further examined by relating LST to percentage of imperious surface area (ISA%) and four remote sensing indices (RSIs), the Normalized Difference Vegetation Index (NDVI), Universal Pattern Decomposition method (VIUPD), Normalized Difference Built-up Index (NDBI) and Biophysical Composition Index (BCI). On the other hand, fives scenes of airborne TASI (Thermal Airborne Spectrographic Imager sensor) images were utilized to describe more detailed urban thermal characteristics of the downtown of Shijiazhuang city. Our results show that an obvious surface heat island effect OPEN ACCESSRemote Sens. 2015, 7 4805 existed in the study area during summer days, with a SUHI intensity of 2-4 °C. The analyses reveal that ISA% can provide an additional metric for the study of SUHI, yet its association with LST is not straightforward and this should a focus in future work. It was also found that two physically based indices, VIUPD and BCI, have the potential to account for the variation in urban LST. The results concerning on TASI indicate that diversity of impervious surfaces (rooftops, concrete, and mixed asphalt) contribute most to the SUHI, among all of the land cover features. Moreover, the effect of impervious surfaces on LST is complicated, and the composition and arrangement of land cover features may play an important role in determining the magnitude and intensity of SUHI. Overall, the analysis of urban thermal signatures at two spatial scales complement each other and the use of airborne imagery data with higher spatial resolution is helpful in revealing more details for understanding urban thermal environments.Keywords: urban heat island (UHI); land cover types (LCTs); impervious surface area (ISA); thermal airborne spectrographic imager (TASI)

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“…ASTER o LANDSAT), su menor resolución espacial (∼1 km 2 ) es compensada por una mayor resolución temporal (dos pasadas diarias), lo que permite estudiar la evolución del fenómeno tanto a escala anual como interanual, al disponerse de series de más de 15 años. Este producto ya ha sido usado en investigaciones sobre la UHI en ciudades de tamaños y climas diversos, por ejemplo en Europa (Pongracz et al, 2006;Cheval y Dumitrescu, 2009) y Asia (Hung et al, 2006).…”

Section: Introductionunclassified

La isla de calor urbano de Madrid durante la ola de calor de julio 2015

Álvarez

García

2016

Clima, Sociedad, Riesgos Y Ordenación Del Territorio

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RESUMENEste trabajo analiza la isla de calor urbana de Madrid durante julio de 2015. Los registros históricos de temperatura confirman que siguió el patrón de anteriores eventos: número elevado de días muy cálidos, pero sin alcanzar records absolutos, y noches muy cálidas. El fenómeno de la isla de calor atmosférica estuvo presente casi todas las noches con una notable magnitud (entre 2-4ºC); por el contrario, durante las horas diurnas se registró una isla de frescor relativamente suave (< 1ºC). Las imáge-nes de satélite revelan que el campo térmico superficial experimentó idéntico ciclo diario, estrechamente ligado a los usos del terreno, con la formación de una isla de calor nocturna de una magnitud similar a la atmosférica, y una isla de frescor diurna igual de potente. La correlación entre la evolución temporal de ambas manifestaciones, al igual que el contraste especial durante la noche más cálida, revela un comportamiento similar durante las horas nocturnas, lo cual ofrece perspectivas interesantes para la integración de ambas variables en estudios aplicados.Palabras clave: Madrid, ola de calor, isla de calor urbano, Teledetección, MODIS. ABSTRACTThis paper analyzes Madrid´s Urban Heat Island, comparing air and land surface temperature records during July 2015. The long-term analysis of temperature records from Retiro confirms a long spell of very warm days, without diurnal breaking records, but very hot nights. The atmospheric UHI was a permanent feature, reaching 2-4ºC on average; by day, a "cool" island was also detected, but weaker. Satellite images reveal an identical daily cycle, closely related to land uses, the "diurnal cool island" becoming as intense as the nocturnal UHI. The temporal correlation among both UHI´s in two selected locations, as well as its spatial structure during the warmest night shows good agreement, offering interesting perspectives for the integration of both variables in applied studies.

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Remotely sensed thermal information applied to urban climate analysis

Cited by 68 publications

References 10 publications

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data

La isla de calor urbano de Madrid durante la ola de calor de julio 2015

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