Effects of Urbanization and Vegetation Density on Land Surface Temperature Using Satellite Remote Sensing Indices in Prague, Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A97601" target="_blank" >RIV/60460709:41210/23:97601 - isvavai.cz</a>

Výsledek na webu

<a href="https://ells-ssc2023.smart-abstract.com/eposter/#/posters" target="_blank" >https://ells-ssc2023.smart-abstract.com/eposter/#/posters</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Effects of Urbanization and Vegetation Density on Land Surface Temperature Using Satellite Remote Sensing Indices in Prague, Czech Republic

Popis výsledku v původním jazyce

Recently, rapid population growth and the increase in migration from rural areas to cities have caused some negatives in the world. At the beginning of these negativities are excessive urbanization and some inadequacies in energy resources because industrialization is increasing in order to provide sufficient resources for the population. In addition to this, the need for shelter from the increasing population causes natural areas to be built and urbanised. As buildings absorb heat more than vegetated areas, surface temperatures in industrial and urban areas are higher than vegetated areas in cities. Thus, the temperature increases experienced triggers heat-related deaths and negatively affects the comfort of life in metropolitan areas, as well as it causes global warming and climate change. In this study, the relationship between vegetation density, surface temperature and urbanisation in Prague was analysed using remote sensing indices from the Google Earth Engine online platform. The capital of the Czech Republic, covering an area of 496 km2 and population is approximately 1.3 million. The landsat-8 operational land imager (OLI) and thermal infrared sensor (TIRS) satellite images were selected as the month of July in summer and time series of these images are 2016 and 2020. The normalized difference vegetation index (NDVI), the normalized difference build-up index (NDBI), and the land surface temperature (LST) were calculated for both years and the correlation relationships between the indices were statistically analysed. As a result of statistical analysis, a strong negative correlation was detected between NDVI and LST, while a strong positive correlation was observed between NDBI and LST. Thus, these statistical relationships show that the increase in urban areas has a positive effect on temperature. The accuracy analysis of Landsat LST data was performed with Moderate Resolution Imaging Spectroradiometer (MODIS) daily 1 km spatial resolution LST data using 12 control points homogeneously distributed over the study area, since there was not enough ground station data. As a result of the accuracy analysis, the values of the root mean square error (RMSE) were found to be +3.04 C and +2.17 C for 2016 and 2020, respectively. Furthemore, a strong positive correlation was found between the two datasets, 0.81 for 2016 and 0.84 for 2020.

Název v anglickém jazyce

Effects of Urbanization and Vegetation Density on Land Surface Temperature Using Satellite Remote Sensing Indices in Prague, Czech Republic

Popis výsledku anglicky

Recently, rapid population growth and the increase in migration from rural areas to cities have caused some negatives in the world. At the beginning of these negativities are excessive urbanization and some inadequacies in energy resources because industrialization is increasing in order to provide sufficient resources for the population. In addition to this, the need for shelter from the increasing population causes natural areas to be built and urbanised. As buildings absorb heat more than vegetated areas, surface temperatures in industrial and urban areas are higher than vegetated areas in cities. Thus, the temperature increases experienced triggers heat-related deaths and negatively affects the comfort of life in metropolitan areas, as well as it causes global warming and climate change. In this study, the relationship between vegetation density, surface temperature and urbanisation in Prague was analysed using remote sensing indices from the Google Earth Engine online platform. The capital of the Czech Republic, covering an area of 496 km2 and population is approximately 1.3 million. The landsat-8 operational land imager (OLI) and thermal infrared sensor (TIRS) satellite images were selected as the month of July in summer and time series of these images are 2016 and 2020. The normalized difference vegetation index (NDVI), the normalized difference build-up index (NDBI), and the land surface temperature (LST) were calculated for both years and the correlation relationships between the indices were statistically analysed. As a result of statistical analysis, a strong negative correlation was detected between NDVI and LST, while a strong positive correlation was observed between NDBI and LST. Thus, these statistical relationships show that the increase in urban areas has a positive effect on temperature. The accuracy analysis of Landsat LST data was performed with Moderate Resolution Imaging Spectroradiometer (MODIS) daily 1 km spatial resolution LST data using 12 control points homogeneously distributed over the study area, since there was not enough ground station data. As a result of the accuracy analysis, the values of the root mean square error (RMSE) were found to be +3.04 C and +2.17 C for 2016 and 2020, respectively. Furthemore, a strong positive correlation was found between the two datasets, 0.81 for 2016 and 0.84 for 2020.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

50702 - Urban studies (planning and development)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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