2013–2017年海南岛陆域水体遥感提取数据集

A dataset of inland water distribution in Hainan Island based on remote sensing during 2013–2017

陆域水体分布是全球水资源安全和管理、气候变化研究、生态环境动态监测等不可或缺的重要基础信息。本文基于高分1号数据与Landsat 8 OLI数据,通过最小冗余最大相关性特征选择(mRMR)算法,采用面向对象知识规则集自动化提取海南岛2013–2017年连续5a的陆域水体分布信息,结合高空间分辨率遥感影像与Google Earth对分类结果进行精度验证,得到Kappa系数分别为84.67%,85.98%,80.61%,88.66%,90.66%,分类结果精度较高。本数据集可直接用于陆域地表水体时空分布研究,也可为水环境如水体水质研究、水资源安全评估等提供数据基础。

Inand water distribution is an indispensable component of global water resource security and management,climate research and ecological environment dynamic monitoring.Based on GF-1 data and Landsat8 OLI data,we used the minimum-redundancy maximum-relevancy(mRMR)feature selection algorithm and the object-oriented knowledge rule set to automatically extract the land water distribution of Hainan Island during 2013–2017.Then assisted by high-resolution remote sensing images and Google Earth images to verify the classification accuracy.Results show a Kappa coefficient of 84.67%,85.98%,80.61%,88.66%and 90.66%for the subsets,respectively,demonstrating a high accuracy of the classification results.This dataset can be directly used to study the spatial and temporal distribution of land surface water.It also provides data basis for water environment research,such as water body studies and water resource safety assessment.