Seasonal Variations of the Relationship between Spectral Indexes and Land Surface Temperature Based on Local Climate Zones: A Study in Three Yangtze River Megacities

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 4; p. 870
• Main Authors: Xiang, Yang, Tang, Yongqi, Wang, Zhihua, Peng, Chucai, Huang, Chunbo, Dian, Yuanyong, Teng, Mingjun, Zhou, Zhixiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Analysis; Cities; Classification; Climate; Climate change; Cooling; Cooling effects; Energy consumption; Environmental impact; geographically weighted regression; High temperature; Land surface temperature; local climate zones; Megacities; Normalized difference vegetative index; Regression models; Remote sensing; Seasonal variations; Seasons; spectral indexes; Summer; surface urban heat island intensity; Thermal environments; Urban areas; Urban climatology; Urban environments; Urban heat islands; Urbanization; Vegetation; Winter; South Korea; China; Yangtze River
• DOI: 10.3390/rs15040870
• ISSN: 2072-4292

Urban heat islands are representative problems in urban environments. The impact of spectral indexes on land-surface temperature (LST) under different urban forms, climates, and functions is not fully understood. Local climate zones (LCZs) are used to characterize heterogeneous cities. In this study, we quantified the contribution of three cities to high-temperature zones and surface urban heat island intensity (SUHII) across LCZs and seasons, used Welch and Games–Howell tests to analyze the difference in LST, then described the spatial pattern characteristics of LST, and used a geographically weighted regression model to analyze the relationship between spectral indexes and LST. The results showed that compact midrise, compact low-rise (LCZ 3), large low-rise (LCZ 8), heavy industry (LCZ 10), and bare rock or paved (LCZ E) contributed greatly to high-temperature zones and had strong SUHII. There were 92–98% significant differences between different LCZs. The spatial aggregation of LST gradually weakened with a decrease in temperature. The modified normalized difference water index (MNDWI) in most LCZs of all seasons for Wuhan could reduce LST well, while MNDWI only had cooling effects in winter for Nanjing and Shanghai. Normalized difference vegetation index (NDVI) in most LCZs performed a cooling role during summer and transition seasons (spring and autumn), while it showed a warming effect in winter. The cooling effect of NDVI in open building types was stronger than that of compact building types, while the cooling effect of MNDWI was better in compact building types than in open building types. With the increase of normalized difference built-up index (NDBI), all LCZs showed warming effects, and the magnitude of LST increase varied in different cities and seasons. These results contribute further insight into thermal environment in heterogeneous urban areas.