TY - JOUR
T1 - Comparing the Effects of Green and Blue Bodies and Urban Morphology on Land Surface Temperatures Close to Rivers and Large Lakes
AU - Kirschner, Vlad’ka
AU - Moravec, David
AU - Macků, Karel
AU - Kozhoridze, Giorgi
AU - Komárek, Jan
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - Understanding the complex contributions of several factors to an urban heat island is crucial for assessing the impacts of planning on the thermal conditions within cities. It is relatively well-known how the different factors work separately, but how they work together, especially near water bodies, is still unclear. This paper investigates the effects of blue bodies (rivers or large lakes), the normalized difference vegetation index (NDVI), building coverage (BC), and building height (BH) on the land surface temperature (LST), comparing the situation around lakes and a river. Their inter-relationships are explored in a square grid of 30 × 30 m using Landsat-8 data on LST measurements in Prague, Czech Republic, in summer 2022. Multiple regression models are used for the analysis. The results imply that the NDVI significantly reduces LSTs, followed rivers if within 200 m of one, while the effect of lakes is negligible. The effect of BH is low. BC is a predominant factor in the city, generating a warming effect, which increases with the city’s compactness. The main planning implications are to base urban heat island mitigation strategies on compensating for building coverage with live and dense green bodies, promoting vertical development.
AB - Understanding the complex contributions of several factors to an urban heat island is crucial for assessing the impacts of planning on the thermal conditions within cities. It is relatively well-known how the different factors work separately, but how they work together, especially near water bodies, is still unclear. This paper investigates the effects of blue bodies (rivers or large lakes), the normalized difference vegetation index (NDVI), building coverage (BC), and building height (BH) on the land surface temperature (LST), comparing the situation around lakes and a river. Their inter-relationships are explored in a square grid of 30 × 30 m using Landsat-8 data on LST measurements in Prague, Czech Republic, in summer 2022. Multiple regression models are used for the analysis. The results imply that the NDVI significantly reduces LSTs, followed rivers if within 200 m of one, while the effect of lakes is negligible. The effect of BH is low. BC is a predominant factor in the city, generating a warming effect, which increases with the city’s compactness. The main planning implications are to base urban heat island mitigation strategies on compensating for building coverage with live and dense green bodies, promoting vertical development.
KW - NDVI
KW - Prague
KW - land surface temperature
UR - http://www.scopus.com/inward/record.url?scp=85185764911&partnerID=8YFLogxK
U2 - 10.3390/land13020162
DO - 10.3390/land13020162
M3 - Article
AN - SCOPUS:85185764911
SN - 2073-445X
VL - 13
JO - Land
JF - Land
IS - 2
M1 - 162
ER -