Analysis of Land Surface Temperatures in the "Local Climate Zones" of Novi Sad (Serbia)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73604028" target="_blank" >RIV/61989592:15310/20:73604028 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.glasniksgd.rs/index.php/home/article/view/716/pdf" target="_blank" >http://www.glasniksgd.rs/index.php/home/article/view/716/pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2298/GSGD2001041S" target="_blank" >10.2298/GSGD2001041S</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Land Surface Temperatures in the "Local Climate Zones" of Novi Sad (Serbia)

Popis výsledku v původním jazyce

In this study, the Local Climate Zones (LCZs) in Novi Sad, the second largest city in Serbia, are analysed as to surface temperature differences. The LCZs were delineated on the basis of the GIS-based method created by Geletič &amp; Lehnert (2016). Land Surface Temperatures (LSTs) were derived from the satellites Terra, sensor ASTER, and LANDSAT-8. The thermal images were provided at a similar time (at about 9.30 AM) between 2002 and 2008 (ASTER) and between 2013 and 2017 (LANDSAT-8). Statistical analyses, including the analysis of variance (ANOVA) and Tukey-HSD test, were employed to reveal LST differences between the LCZs. The results indicate that in 84% of cases there were significant differences in LST between pairs of LCZs. Temperature differences between LCZs were the most pronounced in the summer season. In general, 8 (large low-rise), 10 (heavy industry), 2 (compact midrise) and 3 (compact low-rise) LCZs had the highest surface temperatures in Novi Sad. Contrary to this, LCZs A (dense trees), B (scattered trees) G (water bodies) were the coolest zones.

Název v anglickém jazyce

Analysis of Land Surface Temperatures in the "Local Climate Zones" of Novi Sad (Serbia)

Popis výsledku anglicky

In this study, the Local Climate Zones (LCZs) in Novi Sad, the second largest city in Serbia, are analysed as to surface temperature differences. The LCZs were delineated on the basis of the GIS-based method created by Geletič &amp; Lehnert (2016). Land Surface Temperatures (LSTs) were derived from the satellites Terra, sensor ASTER, and LANDSAT-8. The thermal images were provided at a similar time (at about 9.30 AM) between 2002 and 2008 (ASTER) and between 2013 and 2017 (LANDSAT-8). Statistical analyses, including the analysis of variance (ANOVA) and Tukey-HSD test, were employed to reveal LST differences between the LCZs. The results indicate that in 84% of cases there were significant differences in LST between pairs of LCZs. Temperature differences between LCZs were the most pronounced in the summer season. In general, 8 (large low-rise), 10 (heavy industry), 2 (compact midrise) and 3 (compact low-rise) LCZs had the highest surface temperatures in Novi Sad. Contrary to this, LCZs A (dense trees), B (scattered trees) G (water bodies) were the coolest zones.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

10510 - Climatic research

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Bulletin of the Serbian Geographical Society

ISSN

0350-3593

e-ISSN

—

Svazek periodika

100

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

RS - Srbská republika

Počet stran výsledku

10

Strana od-do

41-50

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85090655997