Christina Eisfelder;Philipp Reiners;Claudia Kuenzer
{"title":"Land Surface Temperature Trends Over Central and Southern Europe: Derivation and Analyses of Long-Term (1986–2018) Monthly Maxima","authors":"Christina Eisfelder;Philipp Reiners;Claudia Kuenzer","doi":"10.1109/JSTARS.2026.3666131","DOIUrl":null,"url":null,"abstract":"Monitoring long-term land surface temperature (LST) time series and analyzing their anomalies and trends are essential for understanding spatial patterns of global warming, particularly in Europe—the fastest-warming continent. In this study, we derived and analyzed monthly maximum LST trends over central and southern Europe at 1 km<sup>2</sup> resolution from advanced very high resolution radiometer-based TIMELINE LST data for the period 1986–2018. We found that almost 40% of the study area exhibited statistically significant (<italic>p</i><0.1)>0.5 K/decade and thus significantly contribute to the overall surface warming. In contrast, forested areas showed lower LST trend magnitudes (<0.5 K/decade) and a smaller share of areas with significant trends. With respect to elevation, our results revealed the lowest LST trends below 50 m and at mid-elevation ranges (750–1250 m). Both the magnitude of LST trends and the percentage area with significant trends rise towards both lower and higher altitudes. These results help to understand current warming patterns and demonstrate that long-term, high-resolution LST datasets can be used to study land-climate interactions in depth.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"19 ","pages":"8108-8125"},"PeriodicalIF":6.3000,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11398115","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11398115/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Monitoring long-term land surface temperature (LST) time series and analyzing their anomalies and trends are essential for understanding spatial patterns of global warming, particularly in Europe—the fastest-warming continent. In this study, we derived and analyzed monthly maximum LST trends over central and southern Europe at 1 km2 resolution from advanced very high resolution radiometer-based TIMELINE LST data for the period 1986–2018. We found that almost 40% of the study area exhibited statistically significant (p<0.1)>0.5 K/decade and thus significantly contribute to the overall surface warming. In contrast, forested areas showed lower LST trend magnitudes (<0.5 K/decade) and a smaller share of areas with significant trends. With respect to elevation, our results revealed the lowest LST trends below 50 m and at mid-elevation ranges (750–1250 m). Both the magnitude of LST trends and the percentage area with significant trends rise towards both lower and higher altitudes. These results help to understand current warming patterns and demonstrate that long-term, high-resolution LST datasets can be used to study land-climate interactions in depth.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.