青藏高原地区逐日1km全天候时间归一化地表温度数据集（2001-2018）

本数据集提供了青藏高原地区全天候、时间一致的长时序（2001-2018）地表温度（Land surface temperature）分布数据。在LST相关研究中，常用的热红外影像受到云雨天气的影响，数据缺失严重；且由于传感器的辐射扫描特性，不同像元间存在显著的观测时间差异，阻碍了其进一步应用。针对上述问题，本数据集基于累积辐射量、海拔、经纬度、地表反射率等辅助数据，构建各环境参量与地表温度之间的相关关系，实现时空无缝的LST重建，且像元温度值均标准化至地方时11:00。重建结果具有理想的时空连续性，能够体现由海拔及纬度主导的大尺度LST分异特征及云雨造成的局部数值差异，且与地面气象站点的观测结果具有较高一致性。得益于其时空连续性、时间一致性，该数据在LST监测方面具有重要应用价值，能够加深我们对青藏高原地表热特征多尺度空间分布规律及长时序变化趋势的系统性认知。

This dataset provides all-weather, temporally consistent long-time-series (2001–2018) land surface temperature (LST) distribution data over the Qinghai-Tibet Plateau. In LST-related research, commonly used thermal infrared imagery suffers from severe data gaps due to cloud and rain interference, and significant discrepancies in observation time exist among different pixels due to the radiation scanning characteristics of sensors, which hinders the further application of such data. To address these issues, this dataset constructs the correlation between various environmental parameters and land surface temperature based on auxiliary data such as cumulative radiation, elevation, latitude, longitude, and surface reflectance, achieving spatiotemporally seamless LST reconstruction, with all pixel temperature values standardized to local 11:00. The reconstructed results exhibit excellent spatiotemporal continuity, which can reflect the large-scale LST differentiation characteristics dominated by elevation and latitude, as well as local numerical differences caused by cloud and rain, and show high consistency with observations from ground meteorological stations. Benefiting from its spatiotemporal continuity and temporal consistency, this dataset holds important application value in LST monitoring, and can deepen our systematic understanding of the multi-scale spatial distribution patterns and long-time-series variation trends of surface thermal characteristics over the Qinghai-Tibet Plateau.

搜集汇总

背景与挑战

背景概述

该数据集提供了青藏高原地区2001年至2018年逐日、空间分辨率为1公里的全天候地表温度数据，通过重建方法解决了云雨导致的数据缺失和观测时间不一致问题，并将温度标准化至地方时11:00，具有时空连续性和时间一致性，适用于地表热特征的多尺度分析和长时序趋势研究。