China Urban Lake Dataset (CULD)

A high-resolution circa-2020 map of urban lakes (>0.001 km2) in China. The 10-m-resoultion Sentinel-2 imagery as well as a simple but robust water extraction method were used to generate waterbodies in China on Google Earth Engine. After initially filtering out urban water bodies based on the spatial relationships with urban area boundary, we combined high-resolution historical imagery to manually remove non-lake waters such as rivers and paddy fields, and to edit and supplement the missing urban lakes separately. The accuracy of our dataset was evaluated in terms of both area and count of lakes by comparing with manually vectorizing results in randomly sampled urban units. The results showed that our dataset is highly accurate and trustworthy, with the averaged accuracy of 81.85% in area and 93.35% in count.

本数据集为中国境内2020年左右的高分辨率城市湖泊（面积大于0.001平方千米）分布图。在谷歌地球引擎（Google Earth Engine）平台上，我们采用10米分辨率的哨兵二号（Sentinel-2）影像结合一种简洁却鲁棒的水体提取方法，生成了中国境内的水体范围矢量数据。首先基于与城市区域边界的空间关系初步筛选出城市水体后，我们结合高分辨率历史影像，手动剔除河流、稻田等非湖泊水体，并分别对缺失的城市湖泊进行编辑与补充。我们通过在随机抽样的城市单元中与手动矢量化结果进行对比，从湖泊面积与数量两个维度对本数据集的精度进行了评估。评估结果表明，本数据集具有极高的精度与可信度，其面积精度均值达81.85%，数量精度均值达93.35%。

搜集汇总

背景与挑战

背景概述

China Urban Lake Dataset (CULD)是一个高分辨率的中国城市湖泊地图数据集，包含2020年左右面积大于0.001平方公里的城市湖泊信息。数据集基于Sentinel-2影像和Google Earth Engine生成，经过手动编辑和验证，具有较高的准确性。