Satellite air temperature estimation for monitoring the canopy layer heat island of Milan

Pichierri, Manuele; Bonafoni, Stefania; Biondi, Riccardo

doi:10.1016/j.rse.2012.08.025

Cited by 93 publications

(60 citation statements)

References 41 publications

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“…Zakšek et al [29] set up a parameterization for Central Europe based on SEVIRI that resulted into a Rho of 0.95 and a RMSE of 2.0 °C. Pichierri et al [24] used a split window approach to directly estimate canopy layer air temperatures for Milan (Italy) from the Moderate Resolution Imaging Spectroradiometer (MODIS) BTs, which yielded a RMSE of 1.8 °C for daytime data from May to September. Bechtel et al [20] proposed a new approach based on multi-temporal geostationary LST data resulted in a RMSE of 1.8 °C, but they are valid only for six stations in Hamburg, Germany.…”

Section: Discussionmentioning

confidence: 99%

“…Between the canopy UHI and surface UHI, the former is a more suitable concept because TA regulates many surface processes and is the driving force of heat transfer between the human body and the surrounding air [22,23]. However, TA data are usually retrieved from irregularly-spaced meteorological stations (point measurements) and, hence, cannot provide a spatially-continuous and simultaneous view of the whole city [24].…”

Section: Introductionmentioning

confidence: 99%

“…To overcome this problem, the estimation of TA from remotely sensed LST-which offer good spatial coverage-has been proposed as a prominent solution [23,24]. 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].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas

et al. 2016

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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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“…The UHI typologies may be grouped in three categories [2]: the surface urban heat island (SUHI); the boundary layer heat island, and; the canopy layer heat island. The canopy layer UHI is affected by the air temperature heating in the atmosphere extending up to the top of buildings, while the boundary layer UHI extends up to 1 km [5]. The SUHI concerns the land surface temperature (LST) pattern, having greater variability and higher thermal peaks with respect to the air temperature.…”

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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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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Satellite air temperature estimation for monitoring the canopy layer heat island of Milan

Cited by 93 publications

References 41 publications

An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas

An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas

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)

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

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