Urban Heat Island Detection by Integrating Satellite Image Data and Gis Techniques. Case Study: Cluj-Napoca City, Romania

Imbroane, A.

doi:10.5593/sgem2014/b23/s10.045

Cited by 3 publications

(3 citation statements)

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“…1967;Erhan, E. 1971Erhan, E. , 1979, while recently the research topic in the same city was re-assumed by Apostol, L. et al (2012). For Cluj-Napoca only one study focused on the surface urban heat island based on Landsat imagery (Imbroane, A.M. et al 2014).…”

Section: Detection Of Atmospheric Urban Heat Island Through Direct Mementioning

confidence: 99%

Detection of atmospheric urban heat island through direct measurements in Cluj-Napoca city, Romania

et al. 2016

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In the last decades, cities worldwide have experienced accelerated development, so that continuous urbanization and its impact is presently one of the most important topics in diff erent fi elds of research. The main aim of this study is to identify the intensity of the atmospheric urban heat island in Cluj-Napoca city, through direct observations campaigns by using fi xed points and transect measurements. The data has been collected over a period of 6 months (May-October 2015). The measurements have been performed mainly in anti-cyclonic weather condition, during the night, between 23:00 and 03:00. The profi les trajectories followed the main roads of the city on directions North-South, East-West, and Northwest-Southeast. 8 fi xed points have been chosen in order to highlight best the temperature patt erns in diff erent Local Climate Zones (LCZs). The main fi ndings of the study are the followings: the direct observations performed in three seasons (spring, summer and autumn) revealed the existence of an atmospheric urban heat island in Cluj-Napoca city; the warmest areas are compact high-rise and compact midrise, located in the eastern half of the city, where the temperature increases by more than 2.0 °C, as average value for all campaigns, but the maximum values, recorded in the summer are higher than 3.0 °C; the coolest areas are sparsely built areas and the large low-rise/water areas, where the temperature is quite similar to that recorded in the nearby rural areas (diff erence of 0.0-0.1 °C, as average values); local factors, such as mountain breeze and topography have a great impact on the atmospheric urban heat island confi guration.

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Section: Detection Of Atmospheric Urban Heat Island Through Direct Mementioning

confidence: 99%

Detection of atmospheric urban heat island through direct measurements in Cluj-Napoca city, Romania

et al. 2016

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“…This limitation prevents a fully consistent or accurate representation of the actual situation. Satellite image data are processed and validated in ArcGIS software (Imbroane et al, 2014;Gémes et al, 2016) to obtain a more precise depiction of the current state. As remote sensing products are widely applied across scientific disciplines, there is an essential need for an interdisciplinary approach, combining multiple satellite images to detect changes at the local level.…”

Section: Validity Of Resultsmentioning

confidence: 99%

NDVI and NDBI indexes as indicators of the creation of urban heat islands in the Sarajevo basin

Drešković,

Đug,

Osmanović

2024

Geographica Pannonica

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Remote sensing plays a vital role in analyzing urban changes. In this regard, various datasets collected from satellites today serve as a foundation for decision-makers and urban planners. This study compares the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-up Index (NDBI) as indicators for the creation of surface heat islands. Using Landsat 8 OLI/TIRS C2 L2 images, spatial correlations between land surface temperature (LST) were examined for August 2013, 2019 and 2023. Urban heat islands (UHI) are a contemporary phenomenon and increasingly common in large urban areas compared to surrounding, less populated areas. With the advancement in remote sensing, it is possible to adequately determine the spatial differentiation and prevalence of urban heat islands (UHI). The study is based on Landsat 8 satellite image sets for the Sarajevo basin in August 2013, 2019 and 2023, which were used to analyze LST, NDVI, and NDBI indices. This work indicates a relationship between LST and NDVI but varies depending on the analyzed year. Normalized Difference Built-up Index (NDBI) serves as a suitable indicator for surface UHI effects and can be used as an indicator to assess its spatial distribution within a larger urban environment.

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“…In Romania LST estimations in an urban area were made by Imbroane et al (2014), based on Landsat satellite images, for the city Cluj-Napoca, and by Herbel et al (2016), who have been detecting atmospheric urban heat islands. Likewise, in regards to detecting atmospheric urban heat islands based on Modis satellite images we can mention Apostol et al, (2012) for the municipality of Iasi and Cheval & Dumitrescu (2009, 2015 for Bucharest.…”

Section: Introductionmentioning

confidence: 99%

The assessment relationship between land surface temperature (LST) and built-up area in urban agglomeration. Case study: Cluj-Napoca, Romania

Ivan¹,

Benedek²

2017

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The built-up area in many large cities has shown a continuous growth during the last decades. In the present study we aimed to evaluate the connection between Land Surface Temperature and built-up areas within the urban areas, based on statistical correlation. Experiments were performed in the surrounding area of Cluj-Napocaone of the most dynamic urban agglomerations of Romaniain order to determine LST and built-up areas during the period 2007-2015. Detection of changes in land cover and in Land Surface Temperature was possible using Landsat satellite imagery. The extraction of the built-up area was achieved by using the Maximum Likelihood classification method, and for estimation of Land Surface Temperature (LST) we have used the single channel algorithm. Investigations of the degree of dependence between LST and built-up area revealed a direct statistical relationship between the two analyzed variables. Results have shown that areas with LST higher than 35°C generally coincide with large hypermarkets and industrial areas of the city. Satellite imagery proved to be an important source of data in detecting changes in surface of the urban area and in estimating temperature from the land surface during the reference period.

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Urban Heat Island Detection by Integrating Satellite Image Data and Gis Techniques. Case Study: Cluj-Napoca City, Romania

Cited by 3 publications

References 0 publications

Detection of atmospheric urban heat island through direct measurements in Cluj-Napoca city, Romania

Detection of atmospheric urban heat island through direct measurements in Cluj-Napoca city, Romania

NDVI and NDBI indexes as indicators of the creation of urban heat islands in the Sarajevo basin

The assessment relationship between land surface temperature (LST) and built-up area in urban agglomeration. Case study: Cluj-Napoca, Romania

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