青藏高原长江源10m分辨率归一化差值水指数（NDWI）数据集（2019-2024）

本数据集涵盖2019-2024年长江源地区10米空间分辨率的归一化差值水指数（NDWI）影像，每年分别包含夏季（5-9月）和全年时序的NDWI中值数据。NDWI作为遥感监测水体和湿地状况的重要指标，能够有效区分水体与非水体区域，反映区域水体分布、湿地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，利用哨兵2号多光谱波段按照NDWI标准公式（McFeeters公式）批量计算年度及夏季中值NDWI影像。最终结果为2019-2024年间每年夏季和全年两个NDWI中值产品，空间分辨率10米，坐标系为WGS84。
该数据集主要支持水体分布动态监测、湿地生态系统评估、高原水资源时空变化分析以及气候变化对水文因子的响应研究等应用。

This dataset contains Normalized Difference Water Index (NDWI) imagery with 10-meter spatial resolution for the source region of the Yangtze River from 2019 to 2024. Each year includes two median NDWI datasets: 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 water body and wetland conditions, NDWI can effectively distinguish water bodies from non-water areas, and reflect regional water distribution, wetland changes and their spatiotemporal dynamic characteristics.

The raw data is sourced from the Sentinel-2 L2A (surface reflectance) products of the European Space Agency (ESA). A maximum cloud cover threshold of 30% was set to remove abnormal pixels such as clouds and cirrus clouds. Subsequently, annual and summer median NDWI imagery were batch-calculated using the Sentinel-2 multispectral bands in accordance with the standard NDWI formula (McFeeters' formula). The final outputs are two median NDWI products per year (one for summer and one for the full year) from 2019 to 2024, with a spatial resolution of 10 meters and a coordinate system of WGS84.

This dataset primarily supports applications including dynamic monitoring of water body distribution, wetland ecosystem assessment, spatiotemporal variation analysis of plateau water resources, and research on the response of hydrological factors to climate change.

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米分辨率的归一化差值水指数（NDWI）影像，每年包含夏季和全年两个时序的中值数据，适用于水体分布动态监测和湿地生态系统评估等研究。数据来源于Sentinel-2 L2A产品，经过云量阈值处理和NDWI计算，最终生成了高精度的水体分布指标。