Local climate zones classification method from Copernicus land monitoring service datasets: An ArcGIS-based toolbox

Oliveira, Ana; Lopes, António; Niza, Samuel

doi:10.1016/j.mex.2020.101150

Cited by 9 publications

(5 citation statements)

References 6 publications

(10 reference statements)

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“…Primary methods for LCZ mapping include in situ measurements, geographic information system (GIS)-based and remote-sensingimage-based calculations (the WUDAPT method), or a combination of them, which are presented in detail in many publications [48][49][50][51][52][53][54][55][56]. To improve the accuracy, some scientists offer an alternative GIS-based workflow to translate Copernicus datasets from Urban Atlas and Corine Land Cover shapefiles and Raster GeoTiff into LCZ maps, which, however, limits the possibilities for practical application of the method outside major European cities [57]. Testing of the methodology for five southern European cities (Athens, Barcelona, Lisbon, Marseille, and Naples) shows promising results [58].…”

Section: Introductionmentioning

confidence: 99%

An Application of the LCZ Approach in Surface Urban Heat Island Mapping in Sofia, Bulgaria

2021

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This article presents the results of the thermal survey of the capital of Bulgaria (Sofia) carried out in August 2019, with the application of an unmanned aerial system (UAS). The study is based on the concept of local climate zones (LCZs), taking into account the influence of the features of land use/land cover and urban morphology on the urban climate. The basic spatial units used in the study are presented in the form of a regular grid consisting of 3299 cells with sides of 250 ´ 250 m. A total of 13 types of LCZs were identified, of which LCZs 6, 5, 8, 4, D, and A form the largest share. In the thermal imaging of the surface, a stratified sampling scheme was applied, which allowed us to select 74 cells, which are interpreted as representative of all cells belonging to the corresponding LCZ in the urban space. The performed statistical analysis of the thermal data allowed us to identify both the most thermally loaded zones (LCZs 9, 4, and 5) and the cells forming Urban Cool Islands (mainly in LCZs D and C). The average surface temperature in Sofia during the study period (in the time interval between 8:00 PM and 10:00 PM) was estimated at 20.9 °C, and between the different zones it varied in the range 17.2–25.1 °C. The highest maximum values of LST (27.9–30.6 °C) were registered in LCZ 4 and LCZ 5. The relation between the spatial structure of the urban thermal patterns and urban surface characteristics was also analyzed. Regression analysis confirmed the hypothesis that as the proportion of green areas increases, surface temperatures decrease, and, vice versa, as the proportion of built-up and impermeable areas increases, surface temperatures increase. A heat load map (via applying a z-transformation to standardize the temperature values), a map of the average surface temperature, and a map of the average intensity of the heat island on the surface were generated in the GIS environment. The results of the study adequately reflect the complex spatial model of the studied phenomenon, which gives grounds to conclude that the research approach used is applicable to similar studies in other cities.

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Section: Introductionmentioning

confidence: 99%

An Application of the LCZ Approach in Surface Urban Heat Island Mapping in Sofia, Bulgaria

2021

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“…The following are taken into account: sky view factor, aspect ratio, building surface fraction, impervious surface factor, pervious surface fraction, the geometric mean height of roughness elements, and terrain roughness class 21 . The LCZ classification is widely used in studies on urban climate; in estimating a correlation between the urban morphology and LST and UHI 22 – 25 , to detail studies on heat and cold waves in urban areas 26 , 27 , in the estimation of the impact of LCZ changes on LST 28 , 29 as well as in the works focused on the methodology of the classifying urban areas 30 – 34 . The World Urban Database and Access Portal Tools (WUDAPT), developed the procedure, and later the online generator, to carry on LCZ classification in a simple and objective way 30 , 31 , 35 .…”

Section: Introductionmentioning

confidence: 99%

Urban growth’s implications on land surface temperature in a medium-sized European city based on LCZ classification

Zwolska,

Półrolniczak,

Kolendowicz

2024

Sci Rep

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The study determined the influence of changes in land use and land cover (LULC) on land surface temperature (LST) over a 33-year period based on a medium-sized European city (Poznań, Poland). The LST was estimated from Landsat 5, 8 and Terra (MOD11A2v6) satellites. The local estimation of climate patterns was based on the Local Climate Zones (LCZ) classification utilised with the methodology proposed by the World Urban Database and Access Portal Tools (WUDAPT). Moreover, the Copernicus’ imperviousness density product (IMD) was used. Between 2006 and 2018 the area with IMD of 41–100% increased by 6.95 km2, 0–20% decreased by 7.03 km2. The contribution of built-up LCZs increased by 7.4% (19.21 km2) between 1988 and 2021 reaching 13% (34 km2) within open mid-rise LCZ. Due to urbanisation and reforestation, low plants LCZ shrunk by 12.7%. For every 10% increase in IMD, LST increases by up to 0.14 °C. Between 1988 and 2021 the LSTm in specific LCZs rose from 1.52 up to 2.97 °C. As per LST models LCZ change from natural to built-up led up to 1.19 °C LST rise. The increase of the LSTm was registered even when the LCZ remained unchanged.

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“…For example, it has been employed to estimate correlations between urban morphology and the urban heat island [38][39][40] and to assess the impact of LCZ changes on land surface temperature [41][42][43]. Additionally, it has been applied in works focusing on the methodology of classifying urban areas [43][44][45][46][47]. Moreover, the LCZ classification has found utility in studies examining heat and cold waves in urban areas [48,49].…”

Section: Introductionmentioning

confidence: 99%

Biometeorological Conditions in Poznań, Poland: Insights from In Situ Summer Data

Półrolniczak,

Tomczyk,

Bednorz

2024

Atmosphere

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Recent climatic changes, most evident in air temperature, also significantly impact sensible conditions, particularly affecting the human body during the summer season in urban areas. This study utilized hourly values of air temperature (t, °C) and relative humidity (RH, %) for 2008–2022 obtained from nine measurement points located in the city of Poznań. The measurement network was set up and supported by the Department of Meteorology and Climatology of Adam Mickiewicz University in Poznań. Based on these data, thermal conditions were characterized using the Humidex (HD), as well as “hot days” (Tmax > 30 °C) and heat waves determined based on them. The conducted research revealed variability in thermal conditions across the city. The highest average Tmax (27.4 °C) and HD values (31.3 °C), as well as the greatest average number of hot days (15 days), were recorded in the compact, dense city center. In contrast, the lowest values (respectively: 25.9 °C, 27.5 °C, 8 days) were observed in areas with a significantly greater proportion of green spaces located further from the center. Furthermore, significant trends of change were observed: an annual average Tmax increase of 1.2–1.6 °C/decade and HD values showing an increase of 1.5–3.0 °C/decade. This study also highlighted the noteworthy impact of urbanization and the presence of urban greenery on the frequency and total duration of heat waves. Between 2008 and 2022, the area of compact development experienced 26 heat waves lasting a total of 115 days, whereas the area with a high proportion of greenery recorded 14 cases and 55 days, respectively. The longest recorded heat wave, spanning 9 days, occurred in July 2010. Individual heat waves identified based on Tmax (>30 °C) may exhibit significant variations in terms of perceived conditions, as indicated by HD.

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Local climate zones classification method from Copernicus land monitoring service datasets: An ArcGIS-based toolbox

Cited by 9 publications

References 6 publications

An Application of the LCZ Approach in Surface Urban Heat Island Mapping in Sofia, Bulgaria

An Application of the LCZ Approach in Surface Urban Heat Island Mapping in Sofia, Bulgaria

Urban growth’s implications on land surface temperature in a medium-sized European city based on LCZ classification

Biometeorological Conditions in Poznań, Poland: Insights from In Situ Summer Data

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