青藏高原长江源10m分辨率NDVI数据集（2019-2024）

本数据集涵盖了2019-2024年青藏高原长江源地区10米空间分辨率的归一化植被指数（NDVI）影像，每年分别包含夏季（5-9月）和全年时序的NDVI中值数据。NDVI作为遥感监测植被状况的重要指标，能够有效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，通过设定最大云量阈值（30%）并去除云、卷云等异常像元以提升数据质量。随后，利用哨兵2号多光谱波段按照归一化植被指数（NDVI）标准公式批量计算年度及夏季中值NDVI影像。最终结果为2019-2024年间每年夏季和全年两个NDVI中值产品，空间分辨率为10米，坐标系为WGS84。该数据集可广泛应用于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，以及高原植被与气象水文因子的响应分析等研究领域。

This dataset contains Normalized Difference Vegetation Index (NDVI) imagery with 10-meter spatial resolution over the source region of the Yangtze River on the Qinghai-Tibet Plateau from 2019 to 2024. Each year includes two sets of NDVI median data: one for the summer season (May to September) and another for the full annual time series.
As a critical indicator for remote sensing monitoring of vegetation conditions, NDVI effectively reflects regional vegetation growth status, coverage, and their spatio-temporal variation characteristics.
The original data is sourced from the European Space Agency's Sentinel-2 L2A (surface reflectance) products. Data quality is improved by setting a maximum cloud cover threshold of 30% and removing abnormal pixels such as clouds and cirrus clouds.
Subsequently, annual and summer median NDVI imagery is batch-calculated using the standard NDVI formula based on the multispectral bands of Sentinel-2.
The final outputs are two NDVI median products per year from 2019 to 2024: one for summer and one for the full annual time series, with a spatial resolution of 10 meters and a coordinate system of WGS84.
This dataset can be widely applied in research fields including temporal characteristic analysis of thermokarst slumps, spatio-temporal 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年青藏高原长江源地区10米空间分辨率的归一化植被指数（NDVI）影像，包含夏季和全年时序的NDVI中值数据，适用于植被动态监测和生态系统评估等研究。数据来源于欧洲航天局哨兵2号（Sentinel-2）L2A产品，经过云量阈值处理和异常像元去除，质量可靠。