青藏高原长江源10m分辨率Tasseled Cap变换指数数据集（2019-2024）

本数据集涵盖2019-2024年长江源地区10米空间分辨率的Tasseled Cap变换（TC）指数影像，每年分别包含夏季（5-9月）和全年时序的TC中值数据，具体包括亮度分量（TCB）、绿度分量（TCG）和湿度分量（TCW）三项指标。TC变换作为多光谱遥感数据的重要分析方法，能够综合反映地表反射率特征、植被生长状况和土壤湿度信息，用于监测地表覆盖变化及其时空动态特征。原始数据来源于欧洲航天局哨兵2号（Sentinel-2）L2A（表面反射率）产品，设定最大云量阈值（30%）并去除云、卷云等异常像元。随后，基于Sentinel-2多光谱波段采用Shi & Xu (2019)提供的TC系数计算年度及夏季中值TC影像。最终结果为2019-2024年间每年夏季和全年各三项TC分量（TCB、TCG、TCW）的中值产品，空间分辨率为10米，坐标系为WGS84。该数据集主要支持地表覆盖变化监测、植被生长动态评估、土壤湿度分析以及高原生态系统与气候变化的响应研究等应用。

This dataset covers Tasseled Cap (TC) index imagery with 10-meter spatial resolution over the source region of the Yangtze River from 2019 to 2024. Each year includes TC median data for two periods: summer (May to September) and the full calendar year, with three specific indicators: Brightness Component (TCB), Greenness Component (TCG), and Wetness Component (TCW). As an important analytical method for multispectral remote sensing data, TC transformation can comprehensively reflect surface reflectance characteristics, vegetation growth status, and soil moisture information, and is used to monitor land cover changes and their spatiotemporal dynamic characteristics. The original data is sourced from the European Space Agency's Sentinel-2 L2A (surface reflectance) products, where a maximum cloud cover threshold of 30% was set to remove abnormal pixels such as clouds and cirrus. Subsequently, annual and summer median TC images were calculated using the TC coefficients provided by Shi & Xu (2019) based on Sentinel-2 multispectral bands. The final products are median datasets of the three TC components (TCB, TCG, TCW) for each summer and full year between 2019 and 2024, with a spatial resolution of 10 meters and a coordinate system of WGS84. This dataset primarily supports applications including land cover change monitoring, vegetation growth dynamic assessment, soil moisture analysis, and research on the responses of plateau ecosystems to climate change.