地表温度是区域和全球地表物理过程中的关键参数,基于遥感的地表温度研究得到国内外学者的广泛关注。本文基于Web of Science 核心数据库,利用VOSviewer和CiteSpace软件对1985-2023年间收录的关于遥感地表温度的论文进行文献计量研究,分析了文献数量、研究机构和国家、作者、发文期刊和关键词等信息,并结合当前研究热点展望未来趋势。结果表明：(1)遥感地表温度近年来呈现快速增长的趋势,中美两国在该领域研究贡献尤为突出。中国学者在遥感地表温度领域发挥着中流砥柱的作用,各机构间展现了密切的合作关系,并呈现出国际化的研究格局；(2)遥感地表温度的研究领域由基础学科逐渐转向应用学科,在载文期刊中,Remote Sensing以714篇的发文量位居第一,而Remote Sensing of Environment的总被引次数遥遥领先；(3)MODIS、Landsat等地表温度数据被广泛使用,研究爆发词由早期的植被指数、土壤等转移到机器学习、局部气候带等新领域。重建、降尺度与时空融合等方向成为遥感地表温度领域近十年的新兴研究热点。

Land surface temperature (LST), which determines the radiation and energy exchange at the surface, is one of the key parameters in the physical process of the ground surface. It has been widely used in numerical forecasting, agricultural situation estimation, disaster monitoring, ecological environment assessment, and many other aspects. With the development of remote sensing technology, the study of LST based on remote sensing has received extensive attention from scholars at home and abroad. In this paper, based on the core database of Web of Science, we used VOSviewer and CiteSpace software to conduct a bibliometric study on 5336 papers on remote sensed LST from 1985 to 2023. We analyzed the number of papers, research institutions, countries, authors, issuing journals and keywords, and looked forward to the future trend by combining with the hot spots of current research. Results show that: (1) the field of remote sensed LST has experienced rapid growth, especially after 2012, showing exponential expansion; China and the United States have made particularly outstanding contributions to this field, with 2,169 and 1,422 papers respectively; Chinese scholars have played a pivotal role in the field of remote sensed LST, and the Chinese Academy of Sciences (CAS) has achieved remarkable results; the organizations have shown a close cooperation between institutions, and presenting an internationalized research pattern, which promotes the sharing of scientific research resources and dissemination of knowledge worldwide. (2) Over time, the research center in the field of remote sensed LST has gradually shifted from atmospheric basics to applied disciplines like ecology and environment; in terms of the journals, Remote Sensing has become the main journal in the field of remote sensed LST with its all-open-source feature, and Remote Sensing of Environment leads in popularity with a high citation count of 38,884, underscoring its academic influence. (3) By clustering the keywords, it can be divided into five mainstream clusters. Land surface temperature data from sources like MODIS and Landsat are extensively utilized, marking a shift in research focus from traditional topics like vegetation index and soil to emerging domains such as machine learning and local climate zones. This evolution is characterized by ongoing innovation and development in both technological methods and research content. In the past decade, in addition to the traditional research directions of inversion, validation and normalization of remotely sensed surface temperature, reconstruction, downscaling and spatial-temporal fusion have become emerging research hotspots in the field.