Spatial and temporal trends of the surface and air heat island over Milan using MODIS data

Anniballe, Roberta; Bonafoni, Stefania; Pichierri, Manuele

doi:10.1016/j.rse.2014.05.005

Cited by 162 publications

(76 citation statements)

References 36 publications

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“…The native 60 m pixel size of ETM + TIR channel, the highest resolution of current satellite-based TIR channels, allows monitoring SUHI changes at the district level with sufficient details. Summer images in clear-sky condition were selected, since it is the period with the more intense SUHI effects, generally with the maximum intensity during the month of July in Italy, as detailed in [20]. The satellite passages are at around 11:50, Central European Summer Time (CEST).…”

Section: Landsat 7 Etm+ Data and Processingmentioning

confidence: 99%

“…Unlike in situ measurements, providing uneven distributed data, satellite observations have the advantages of covering large areas at the same time, and during different temporal intervals, ensuring a more effective analysis of the intra-urban SUHI spatial variability, closely related to the building distribution, surface materials and vegetation density. Different space-borne platforms, such as AVHRR [16][17][18], MODIS [19,20], ASTER [21][22][23], and Landsat [24][25][26], were used to retrieve the SUHI. Furthermore, satellite sensor measurements of surface reflectivities make it possible to retrieve albedo maps, both at the local and global spatial scale.…”

Section: Introductionmentioning

confidence: 99%

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Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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Abstract:In recent years, many new districts in urban centres have been planned and constructed to reshape the structure and functions of specific areas. Urban regeneration strategies, planning and design principles have to take into account both socioeconomic perspectives and environmental sustainability. A district located in the historical city centre of Terni (Italy), Corso del Popolo, was analysed to assess the construction effects in terms of surface urban heat island (SUHI) mitigation. This district is an example of urban texture modification planned in the framework of the regeneration of the ancient part of the town. The changes were realised starting from 2006; the new area was completed on June 2014. The analysis was carried out by processing Landsat 7 ETM+ images before and after the interventions, retrieving land surface temperature (LST) and albedo maps. The map analysis proved the SUHI reduction of the new area after the interventions: as confirmed by the literature, such SUHI mitigation can be ascribed to the presence of green areas, the underground parking, the partial covering of the local roadway and the shadow effect of new multi-storey buildings. Moreover, an analysis of other parameters linked to the impervious surfaces (albedo, heat transfer and air circulation) driving LST variations is provided to better understand SUHI behaviour at the district level. The district regeneration shows that wisely planned and developed projects in the construction sector can improve urban areas not only economically and socially, but can also enhance the environmental impact.

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Section: Landsat 7 Etm+ Data and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

et al. 2017

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“…Milan is an important Italian city, as well as the second most populous city in Italy. The UHI in Milan was diagnosed in the 1990s [17,18] using urban and airport temperature series, that showed an average difference between the city center and Linate airport close to 1.4 • C. The UHI in Milan was analyzed also using satellite maps [19,20], and surface and canopy layer heat islands were distinguished; the surface UHI effect was found to be a noticeable phenomenon throughout the whole diurnal cycle, while the canopy layer UHI emerged after sunset and was absent during the daytime. Regarding the application of UHI mitigation strategies in Milan, the authors of [21] addressed the issue in terms of urban design options (e.g., the partitioning of trees, grass, asphalt and buildings), highlighting the importance of the increased size of soil water reservoirs to enhance the mitigating effect of urban vegetation.…”

Section: Introductionmentioning

confidence: 99%

Impact of Highly Reflective Materials on Meteorology, PM10 and Ozone in Urban Areas: A Modeling Study with WRF-CHIMERE at High Resolution over Milan (Italy)

Falasca

Curci

2018

Urban Science

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Abstract:The Urban Heat Island (UHI) is a well-known phenomenon concerning an increasing percentage of the world's population due to the growth rates of metropolitan areas. Given the health and economic implications of UHIs, several mitigation techniques are being evaluated and tested. In this study, we consider the use of highly reflective materials for urban surfaces, and we carried out numerical experiments using the Weather Research and Forecasting model coupled with the CHIMERE model in order to investigate the effects of these materials on the meteorology and air quality in the urban area of Milan (Italy). Results show that an increase in albedo from 0.2 to 0.7 for urban roofs, walls and streets leads to a decrease in UHI intensity by up to 2-3 • C and of the planetary boundary layer (PBL) height of about 500 m. However, the difference of PM10 and ozone between urban and surrounding areas increases by a factor of about 2, attributable to the reduction of PBL height and wind speed and to the increased reflected solar radiation that may enhance photochemical production during the daytime. Therefore, if anthropogenic emissions are held at the same levels, the potential benefit to the UHI in terms of thermal discomfort may have negative repercussions on air quality.

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“…In total, three major categories of relevant algorithms can be identified: the statistical approaches that correlate LST with TA [18,20,[24][25][26][27][28][29][30][31][32][33][34][35]; the temperature-vegetation index (TVX) approaches [23,36,37]; and the surface energy-balance parameterizations [38,39]. The first category can be divided further into the simple statistical approaches, which are usually based on a linear regression between the LST and TA, and the advanced statistical approaches.…”

Section: Introductionmentioning

confidence: 99%

An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas

et al. 2016

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Abstract:The Urban Heat Island (UHI) is an adverse environmental effect of urbanization that increases the energy demand of cities and impacts human health. The study of this effect for monitoring and mitigation purposes is crucial, but it is hampered by the lack of high spatiotemporal temperature data. This article presents the work undertaken for the implementation of an operational real-time module for monitoring 2 m air temperature (TA) at a spatial resolution of 1 km based on the Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager (MSG-SEVIRI). This new module has been developed in the context of an operational system for monitoring the urban thermal environment. The initial evaluation of TA products against meteorological in situ data from 15 cities in Europe and North Africa yields that its accuracy in terms of Root Mean Square Error (RMSE) is 2.3˝C and Pearson's correlation coefficient (Rho) is 0.95. The temperature information made available at and around cities can facilitate the assessment of the UHIs in real time but also the timely generation of relevant higher value products and services for energy demand and human health studies. The service is available at

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Spatial and temporal trends of the surface and air heat island over Milan using MODIS data

Cited by 162 publications

References 36 publications

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Remote Sensing Techniques for Urban Heating Analysis: A Case Study of Sustainable Construction at District Level

Impact of Highly Reflective Materials on Meteorology, PM10 and Ozone in Urban Areas: A Modeling Study with WRF-CHIMERE at High Resolution over Milan (Italy)

An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas

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