{"title":"利用所有可用的Landsat数据构建连续局地气候带时间序列,用于评估城市气候的变率","authors":"Apurba Dinda, Soumendu Chatterjee","doi":"10.1016/j.uclim.2025.102611","DOIUrl":null,"url":null,"abstract":"<div><div>Comprehensive change information of urban surface heterogeneity with reference to diversified clusters of climate-relevant elements is essential for evaluation and management of the evolving urban thermal environment. Previous temporal assessments in this regard are primarily based on analysis of discrete images at multiple time points which failed to reveal the long-term time-consistent and continuous changes. Construction of highly frequent time-series of surface microclimatic units by leveraging the temporal dimensions of satellite observations is efficient for understanding the urban climate dynamics. This study implements a robust time-series analysis of all available Landsat (5, 7 & 8) observations (1992–2022) to construct a continuous time-series of Local Climate Zones (LCZ), a climate-based classification system of urban surface, for the case of Kolkata. The time-dependent parameters of land surface temperature were engaged to explore urban thermal zones (UTZs), a more climate dependent units of urban thermal environment, for assessment of current and expected future thermal behaviour of LCZs. Results bring out that LCZs exhibited systematic transformation trajectories (non-urban to open built-up to compact built-up), and diversified growth patterns in terms of landscape metrics and growth modes. The compact built-up LCZs were increasingly agglomerated while non-urban LCZs were increasingly fragmented over time to intensify the thermal environment. The LCZ-UTZ association analysis identifies the strongest thermal sensitivity for heavy industry LCZ with 80.37 % and 55.02 % of its area to be highly intensive and highly potential for warming in future, respectively. The dense built up LCZs showed higher thermal intensity and lower potential compared to open built-up LCZs.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"64 ","pages":"Article 102611"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of continuous local climate zone time series from all available Landsat data for assessing the variability of urban climate\",\"authors\":\"Apurba Dinda, Soumendu Chatterjee\",\"doi\":\"10.1016/j.uclim.2025.102611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Comprehensive change information of urban surface heterogeneity with reference to diversified clusters of climate-relevant elements is essential for evaluation and management of the evolving urban thermal environment. Previous temporal assessments in this regard are primarily based on analysis of discrete images at multiple time points which failed to reveal the long-term time-consistent and continuous changes. Construction of highly frequent time-series of surface microclimatic units by leveraging the temporal dimensions of satellite observations is efficient for understanding the urban climate dynamics. This study implements a robust time-series analysis of all available Landsat (5, 7 & 8) observations (1992–2022) to construct a continuous time-series of Local Climate Zones (LCZ), a climate-based classification system of urban surface, for the case of Kolkata. The time-dependent parameters of land surface temperature were engaged to explore urban thermal zones (UTZs), a more climate dependent units of urban thermal environment, for assessment of current and expected future thermal behaviour of LCZs. Results bring out that LCZs exhibited systematic transformation trajectories (non-urban to open built-up to compact built-up), and diversified growth patterns in terms of landscape metrics and growth modes. The compact built-up LCZs were increasingly agglomerated while non-urban LCZs were increasingly fragmented over time to intensify the thermal environment. The LCZ-UTZ association analysis identifies the strongest thermal sensitivity for heavy industry LCZ with 80.37 % and 55.02 % of its area to be highly intensive and highly potential for warming in future, respectively. The dense built up LCZs showed higher thermal intensity and lower potential compared to open built-up LCZs.</div></div>\",\"PeriodicalId\":48626,\"journal\":{\"name\":\"Urban Climate\",\"volume\":\"64 \",\"pages\":\"Article 102611\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Climate\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221209552500327X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221209552500327X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Construction of continuous local climate zone time series from all available Landsat data for assessing the variability of urban climate
Comprehensive change information of urban surface heterogeneity with reference to diversified clusters of climate-relevant elements is essential for evaluation and management of the evolving urban thermal environment. Previous temporal assessments in this regard are primarily based on analysis of discrete images at multiple time points which failed to reveal the long-term time-consistent and continuous changes. Construction of highly frequent time-series of surface microclimatic units by leveraging the temporal dimensions of satellite observations is efficient for understanding the urban climate dynamics. This study implements a robust time-series analysis of all available Landsat (5, 7 & 8) observations (1992–2022) to construct a continuous time-series of Local Climate Zones (LCZ), a climate-based classification system of urban surface, for the case of Kolkata. The time-dependent parameters of land surface temperature were engaged to explore urban thermal zones (UTZs), a more climate dependent units of urban thermal environment, for assessment of current and expected future thermal behaviour of LCZs. Results bring out that LCZs exhibited systematic transformation trajectories (non-urban to open built-up to compact built-up), and diversified growth patterns in terms of landscape metrics and growth modes. The compact built-up LCZs were increasingly agglomerated while non-urban LCZs were increasingly fragmented over time to intensify the thermal environment. The LCZ-UTZ association analysis identifies the strongest thermal sensitivity for heavy industry LCZ with 80.37 % and 55.02 % of its area to be highly intensive and highly potential for warming in future, respectively. The dense built up LCZs showed higher thermal intensity and lower potential compared to open built-up LCZs.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]