1990-2021年黄河下游地区水体专题数据集

A dataset of water bodies in the lower Yellow River region during 1990-2021

黄河下游地区是河流、城市、农业生态系统交互的典型区域,其生态本底差,且人水、人地关系复杂,生态系统服务功能有退化风险。在黄河流域生态保护和高质量发展战略背景下,研制黄河下游地区水体频率专题数据,探讨其时空动态变化,具有紧迫需求和重要研究意义。本研究收集了1990-2021年黄河下游地区Landsat影像数据,融合归一化差异水体指数(mNDWI),归一化植被指数(NDVI),增强植被指数(EVI)识别了黄河下游地区水体信息。在此基础上,计算了水体频率,得到黄河下游地区32年的30米分辨率水体频率、永久水体和最大水体范围数据集。精度评价结果表明本数据具有较好精度(Kappa系数为0.806,总体精度为0.977)。数据结果较好地呈现了黄河下游地区水体范围及长期动态特征,可为黄河下游地区水系生态环境保护、水资源开发和相关研究提供基础数据支撑。

The lower reaches of the Yellow River are typical areas characterized by the interaction of rivers,urban areas,and agricultural ecosystems.This region fare confronted with ecological challenges,with complex relationships between humans,water,and land,putting ecosystem service functions at risk of degradation.In light of the ecological protection and high-quality development strategy for the Yellow River Basin,there is an urgent need for thematic data on water bodies in the lower reaches of the Yellow River,and the research is of great significance for analyzing the temporal and spatial dynamics of these water resources.This study gathered Landsat image data from the lower reaches of the Yellow River spanning from 1990 to 2021,and integrated the normalized differential water index(mNDWI),normalized Vegetation index(NDVI),and enhanced Vegetation index(EVI)to identify water body information in the region.On this basis,we calculated the water body frequency,and derived datasets for water body frequency,permanent water body and maximum water body with a 30 m resolution over 32 years in the lower reaches of the Yellow River.Accuracy evaluation results show that this data has good accuracy(the Kappa coefficient is 0.806,and the overall accuracy is 0.977).The results effectively illustrate the spatial distribution of water bodies and their long-term dynamic characteristics in the lower reaches of the Yellow River.It can provide basic data support for the protection of water ecological environment,water resource development,and related research in the region.