img
img
Investigating the effects of local climate zones on land surface temperature using spectral indices via linear regression model: a seasonal study of Sapanca Lake      
Yazarlar (7)
Doç. Dr. Öznur IŞINKARALAR Doç. Dr. Öznur IŞINKARALAR
Kastamonu Üniversitesi, Türkiye
Emmanuel Yeboah
Nanjing University of Information Science & Technology, China
Doç. Dr. Kaan IŞINKARALAR Doç. Dr. Kaan IŞINKARALAR
Kastamonu Üniversitesi, Türkiye
Isaac Sarfo
Henan University, China
Prof. Dr. Sevgi ÖZTÜRK Prof. Dr. Sevgi ÖZTÜRK
Kastamonu Üniversitesi, Türkiye
Dilara Yilmaz
Kastamonu University, Turkey
Elias Bojago
Wolaita Sodo University, Ethiopia
Devamını Göster
Özet
The formation of urban heat islands is a widespread issue in cities. However, the impact of spectral indices on land surface temperature (LST) with various urban forms, climates, and functions has not been sufficiently examined. Currently, the prevalent method for analyzing complex urban areas is the classification of local climate zones (LCZs). In this study, we aim to explore the urban thermal environment by utilizing GIS-based spatial analyses and statistical methods. We also examine LCZs and the temporal-spatial changes of LSTs in Sapanca Lake and its surroundings. A comparative analysis was conducted on the relationship between the normalized difference vegetation index (NDVI), the modified normalized difference water index (MNDWI), and the normalized difference built-up index (NDBI) spectral indices in different LCZs and LST using a linear regression model. The results showed that all LCZs experienced a warming effect with an increase in NDBI, while they exhibited a cooling effect with the influence of NDVI and MNDWI. Notably, NDVI demonstrated a strong cooling effect in LCZ A (Dense trees) during the summer season, with an R2 coefficient of 0.73. Similarly, MNDWI had an R2 coefficient of 0.73 in LCZ A during spring. Values calculated as a result of regression are found as MAE:0.72 and MSE:0.75. These findings indicate the cooling effect of urban areas characterized by dense trees and water surfaces, highlighting their role in reducing LST. As a result, the research revealed the role of urban green systems and water surfaces in reducing the heat island effect, which is a problem, especially in urban centers. Overall, the study’s results contribute to a better understanding of the thermal environmental characteristics in complex urban settings.
Anahtar Kelimeler
Climate risk | Remote sensing | Spatiotemporal analysis | Spectral indices | Urban heat island
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Environmental Monitoring and Assessment
Dergi ISSN 0167-6369 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 02-2025
Cilt No 197
Sayı 3
Sayfalar 252 / 0
Doi Numarası 10.1007/s10661-025-13705-3
Makale Linki https://doi.org/10.1007/s10661-025-13705-3