长江源10m分辨率增强型植被指数数据集（2019-2024）

本数据集涵盖2019-2024年长江源地区10米空间分辨率的增强型植被指数（EVI）影像，每年分别包含夏季（5-9月）和全年时序的EVI中值数据。EVI作为遥感监测植被状况的重要指标，能够更敏感、稳定地反映区域植被生长状况、覆盖度及其时空变化特征。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，利用哨兵2号多光谱波段按照增强型植被指数（EVI）标准公式批量计算年度及夏季中值EVI影像。最终结果为2019-2024年间每年夏季和全年两个EVI中值产品，空间分辨率10米，坐标系为WGS84。
该数据集主要支持热融滑塌时序特征分析、植被时空动态监测、生态系统健康评估、高原植被与气象水文因子的响应分析等应用。

This dataset contains 10-meter spatial resolution Enhanced Vegetation Index (EVI) images of the Yangtze River Source Region spanning 2019 to 2024. For each year, the dataset includes two median EVI datasets: summer (May to September) and annual time-series.

As an important indicator for remote sensing monitoring of vegetation conditions, EVI can sensitively and stably reflect regional vegetation growth status, coverage, and their spatiotemporal variation characteristics. Original data is sourced from the European Space Agency's Sentinel-2 L2A (surface reflectance) products. A maximum cloud cover threshold of 30% was established, and abnormal pixels including clouds and cirrus clouds were removed. Subsequently, annual and summer median EVI images were batch-computed using Sentinel-2 multispectral bands in accordance with the standard formula of the Enhanced Vegetation Index (EVI). The final outputs are two median EVI products per year (summer and annual time-series) from 2019 to 2024, with a spatial resolution of 10 meters and a WGS84 coordinate system.

This dataset primarily supports applications such as time-series characteristic analysis of thermokarst slumps, spatiotemporal dynamic monitoring of vegetation, ecosystem health assessment, and response analysis between plateau vegetation and meteorological and hydrological factors.

搜集汇总

背景与挑战

背景概述

该数据集提供了2019-2024年长江源地区10米分辨率的增强型植被指数（EVI）影像，包含夏季和全年时序的中值数据，适用于植被动态监测和生态系统健康评估等研究。