Investigating the relationship between land surface temperature and urban indices using landsat-8: a case study of Iaşi

Abstract

This study investigates the relationship between land surface temperature (LST) and urban indices (such as: Normalized Difference Bareness Index (NDBaI), Normalized Difference Buildup Index (NDBI) and Urban Index (UI)) using Landsat-8 OLI imagery, for Iasi municipality area. Landsat data were used to estimate the LST, NDBI, NDBaI and UI for Iasi municipality area, between 2013-2016. In that period, the mean temperature rose by about 2 0 C, so as to 2016 the mean temperature was of over 30 0 C and the maximum temperature exceeded 40 0 C. Analyzing the relationship between LST and urban indices it can be noticed that, whilst NDBI and UI indices have high a correlation with LST, the correlation between NDBaI and LST is lower. The R 2 fluctuates significantly from over 0.4 for NDBI and UI to about zero for NDBaI. Therefore, NDBI and UI are accurate indicators of SUHI effects, as against NDBaI and can be used as a complementary metric to the traditionally applied NDVI for analyzing surface urban heat island studies.

Spatio-temporal analysis of built-up area and land surface temperature in Surakarta using Landsat imageries

“…In addition, the surface temperature is also an important parameter to explain the physical conditions of the environment and climate models including the energy balance both locally and globally (Malik et al, 2019;Hidayati & Suharyadi, 2019;Danardono et al, 2021). In consequence, surface temperature monitoring is an important activity to do as an effort to identify changes in the environment (Macarof et al, 2017), especially if these changes occur in urban areas where the anthropogenic activities are high (Srivanit & Hokao, 2009;Hadibasyir et al, 2020). Because the land cover/land use conditions in urban areas are heterogeneous resulting in dynamics in surface temperature, which both are seen in its spatial and temporal distribution.…”

Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series

“…Ali et al (2017) compared the relationship of LST with NDBaI and other LULC indices in London and Baghdad cities. Macarof et al (2017) investigated the relationship between LST and NDBaI in Iaşi Municipality Area of eastern Romania from 2013 to 2016 by using Landsat 8 data. Alibakshi et al (2020) investigated the relationship between NDBaI and LST from 2001 to 2015 in Tehran and its satellite cities in Iran by the geographically weighted regression model using Landsat 7 data.…”

The Impact of the Green Spaces On the Land Surface Temperature in Urban Areas - Analysis of the Land Surface Temperature in the City of Oradea using Landsat 8 Satellite Images

“…Satellite remote sensing data is used to determine how the temperature is distributed across de globe and Landsat is the longest satellite mission who provides the data necessary to study it [3]. At the moment the study has been conducted the Landsat 8 was the newest satellite in operation from the Landsat mission.…”