Multi-scale Remote Sensed Thermal Mapping of Urban Environments: Approaches and Issues

Bitelli, Gabriele; Mandanici, Emanuele; Girelli, Valentina Alena

doi:10.1007/978-3-030-62800-0_29

Cited by 3 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The correlation between the raw and corrected data is calculated to be approximately 98%. This method is acceptable and used widely in the past studies (Bitelli et al, 2020).…”

Section: Resultsmentioning

confidence: 95%

“…In general, UHI worsen urban microclimate. Taking into account the urban microclimate can strongly improve the urban policies, such as buildings regulation, and help to speed up the sustainable and resilient development of a city (Bitelli et al, 2020). Accordingly, the development of different measurement methods to have a clearer view in time and space of the urban thermal environment is crucial.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Data Acquisition and Processing in Support of an Urban Heat Island Study

Zeynali

Bitelli

Mandanici

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Global warming and changes in Earth’s weather patterns are the main consequences of climate change, and bioclimate discomfort has significant public health problems, especially for the elderly. Normally, the thermal characteristics of urban areas are poor due to a phenomenon known as urban heat island. Mobile and fixed temperature measurements were performed on 19 March 2021 in the city of Bologna, Italy. Mobile measurements took place with a car, along a 75-km transect, starting at 22:16 with a duration of 2 hours and 41 minutes, while fixed measurements were done using 15 present weather stations and also placing five thermometers in the city center. Various interpolation models (i.e., Traditional, Voronoi Tessellation, Global Trends, Triangulated Irregular Networks, Inverse Distance Weighting and Kriging) were applied to correct the mobile measurements using fixed data. Kriging fulfilled the best result with a correlation coefficient of 0.99 compared to the raw temperatures.

show abstract

“…The correlation between the raw and corrected data is calculated to be approximately 98%. This method is acceptable and used widely in the past studies (Bitelli et al, 2020).…”

Section: Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Mobile Data Acquisition and Processing in Support of an Urban Heat Island Study

Zeynali

Bitelli

Mandanici

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…The urbanized territory of Bologna has been characterized according to Morphological Climate classes (MC) considering that the physical variables that define the climate in an urban environment are: Surface temperature: the map of the surface temperatures at 90 m resolution, obtained from satellite data (ASTER) during a heatwave (acquired image on 23 June 2017 at 12:10 a.m.). was available for the entire municipal area, defining the type of surface and the degree of heating due to it [ 32 , 33 ] ( Figure 5 ); Fraction of Vegetation: percentage of vegetation coverage for the entire Municipality of the city of Bologna derived from Sentinel-2 satellite data ( Figure 6 ); Building density: it is a morphological parameter defined as the fraction between the volume of the building and the surface that is occupied. The building density was computed by adding the volumes of buildings belonging to a block divided by the total area of the block ( Figure 7 ); H/W ratio: another morphological index usually used to define an urban canyon given by the ratio between the average height of the buildings and the width of the road.…”

Section: Methodsmentioning

confidence: 99%

“…Surface temperature: the map of the surface temperatures at 90 m resolution, obtained from satellite data (ASTER) during a heatwave (acquired image on 23 June 2017 at 12:10 a.m.). was available for the entire municipal area, defining the type of surface and the degree of heating due to it [ 32 , 33 ] ( Figure 5 );…”

Section: Methodsmentioning

confidence: 99%

Microclimate Classification of Bologna (Italy) as a Support Tool for Urban Services and Regeneration

Nardino

Cremonini

Georgiadis

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

A microclimate classification of the entire Bologna Municipality has been carried out in order to give a tool to the local administration in the drafting of the General Urbanistic Plan (PUG). The city was classified considering the variation of air temperature as a function of the surface characteristics, the vegetation fraction, the building density and the H/W ratio (height to width). Starting from the microclimate analysis carried out with fluid-dynamic modeling (Envi-met) for some areas of the city of urban interest, the air temperature variation was correlated to the physiological equivalent temperature (PET) in order to make a classification of physiological well-being for the resident population. An urban map of a normalized microclimate well-being index (BMN) has been obtained to give support when private, and public actors want to regenerate part of the city, taking into account the climate-centered approach for the development of a sustainability city.

show abstract