黄河流域1：25万内陆水体数据集（2020年）

该数据集为黄河流域1：25万内陆水体数据集（2020年）。该数据集在2020年5-10月收集的全国无云Landsat-8 OLI的陆地反射率数据的基础上，计算影像数据的NDWI指数，结合SRTM的DEM数据去除阴影，基于OSTU的双峰阈值分割方法进行水体面积识别，计算得到2020年5-10月的中国地表水面积年频率；基于年频率岛屿70%的认为是年永久性水体，作为湖泊识别的基础数据库。参考2005-2006年的全国湖泊数据库和HydroLakes的水库数据，将河流和水库去除，只保留湖泊水体边界，去除碎斑，只保留1km2以上的水体作为湖泊边界数据。在此数据基础上，补充完善流域、省份等其它指标信息，最终得到中国区域2020年内陆水体数据。包含了湖泊代码、湖泊名称、所属省份、所属湖区、所属流域等指标。
数据集包含1个shp矢量文件，hhLakes2020_v1.4.shp。

This dataset is the 1:250,000 scale inland water body dataset of the Yellow River Basin (2020).

Initially, cloud-free Landsat-8 OLI terrestrial reflectance data collected across China from May to October 2020 were used as the source data. The Normalized Difference Water Index (NDWI) of the image data was calculated, and shadow interference was removed by combining with SRTM DEM data. Water body areas were identified using Otsu's bimodal threshold segmentation method, and the annual frequency of surface water area in China from May to October 2020 was derived.

Water bodies with an annual frequency of 70% or higher were defined as permanent annual water bodies, which served as the foundational database for lake identification. Then, referring to the national lake database from 2005 to 2006 and the reservoir data from HydroLakes, rivers and reservoirs were excluded, only lake water boundaries were retained, and small spurious patches were eliminated. Only water bodies with an area of 1 km² or larger were kept as the lake boundary dataset.

On this basis, additional information such as basin, province and other relevant attributes was supplemented and improved, and the final inland water body dataset of China in 2020 was obtained. This dataset includes indicators such as lake code, lake name, affiliated province, affiliated lake region, and affiliated basin.

The dataset contains one shp vector file: hhLakes2020_v1.4.shp.

搜集汇总

背景与挑战

背景概述

该数据集是黄河流域2020年的1:25万内陆水体数据集，主要基于Landsat-8 OLI遥感数据通过NDWI指数和OSTU阈值分割方法识别永久性湖泊水体，并去除河流和水库，仅保留面积大于1平方公里的湖泊边界。数据集包含湖泊代码、名称、所属省份、湖区和流域等指标，以shp矢量文件形式提供，适用于黄河流域水资源管理和环境监测研究。