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 Kastamonu Üniversitesi, Türkiye
Emmanuel Yeboah Nanjing University Of Information Science & Technology, Çin
Doç. Dr. Kaan IŞINKARALAR Kastamonu Üniversitesi, Türkiye
Isaac Sarfo
Henan University, Çin
Prof. Dr. Sevgi ÖZTÜRK Kastamonu Üniversitesi, Türkiye
Dilara Yılmaz
Kastamonu Üniversitesi, Türkiye
Elias Bojago
Wolaita Sodo University, Etiyopya
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Environmental Monitoring and Assessment (Q3)
Dergi ISSN 0167-6369 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2025
Cilt / Sayı / Sayfa 197 / 3 / 252–0 DOI 10.1007/s10661-025-13705-3
Makale Linki https://doi.org/10.1007/s10661-025-13705-3
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 …
Anahtar Kelimeler
Climate risk | Remote sensing | Spatiotemporal analysis | Spectral indices | Urban heat island