青藏高原长江源30m分辨率地表温度数据集（2019-2024）

本数据集涵盖2019-2024年长江源地区30米空间分辨率的地表温度（LST）影像，每年分别包含夏季（5-9月）和全年时序的LST平均值数据。LST作为遥感监测地表能量平衡和热环境状况的重要指标，能够反映区域地表热量分布、气候变化影响及其时空动态特征。原始数据来源于美国地质调查局（USGS）的Landsat 8和Landsat 9 T1_L2产品（地表反射率和热红外数据），并通过云、云阴影和雪掩膜处理去除异常像元，同时将热红外数据转换为地表温度（单位：摄氏度）。随后，计算年度及夏季平均LST影像。最终结果为2019-2024年间每年夏季和全年两个LST平均值产品，空间分辨率为30米，坐标系为WGS84。该数据集主要支持地表热环境动态监测、气候变化影响评估、生态系统热量平衡分析以及高原地表温度与气象水文因子的响应研究等应用。

This dataset contains 30-meter spatial resolution Land Surface Temperature (LST) images of the Yangtze River Source Region from 2019 to 2024. Each year includes two LST average datasets: one derived from the summer season (May to September) and another calculated using the full annual time series.

As a critical indicator for remotely monitoring surface energy balance and thermal environment conditions, LST can reflect regional surface heat distribution, the impacts of climate change, and their spatiotemporal dynamic characteristics.

The original data is sourced from the Landsat 8 and Landsat 9 T1_L2 products (surface reflectance and thermal infrared data) of the United States Geological Survey (USGS). Abnormal pixels were removed via cloud, cloud shadow, and snow masking, and the thermal infrared data were converted to land surface temperature with units of degrees Celsius.

Subsequently, annual and summer mean LST images were computed. The final dataset provides two LST average products per year between 2019 and 2024: summer mean and annual mean LST, with a spatial resolution of 30 meters and a coordinate system of WGS84.

This dataset primarily supports applications including dynamic monitoring of surface thermal environments, assessment of climate change impacts, analysis of ecosystem heat balance, and research on the response of plateau surface temperatures to meteorological and hydrological factors.

搜集汇总

背景与挑战

背景概述

该数据集提供了2019年至2024年青藏高原长江源地区30米空间分辨率的地表温度（LST）影像，每年包含夏季和全年两个平均LST产品，数据来源于Landsat卫星并经过预处理。它主要用于支持地表热环境动态监测、气候变化影响评估和生态系统热量平衡分析等科学研究。