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1976-2024年黄河三角洲土地利用类型数据集

王晓杰 于冬雪 赵庆云 张孝帅 宋维民 初小静 韩广轩

中国科学数据(中英文网络版)2025,Vol.10Issue(4):94-104,11.
中国科学数据(中英文网络版)2025,Vol.10Issue(4):94-104,11.DOI:10.11922/11-6035.csd.2025.0121.zh

1976-2024年黄河三角洲土地利用类型数据集

A dataset of land use types in the Yellow River Delta(1976-2024)

王晓杰 1于冬雪 2赵庆云 3张孝帅 1宋维民 1初小静 1韩广轩1

作者信息

  • 1. 中国科学院黄河三角洲滨海湿地生态试验站,山东 东营 257000||中国科学院烟台海岸带研究所,中国科学院海岸带环境过程与生态修复重点实验室,山东 烟台 264003
  • 2. 河海大学水文水资源学院,南京 210098
  • 3. 聊城大学地理与环境学院,山东 聊城 252000
  • 折叠

摘要

Abstract

The Yellow River Delta is the youngest and most complete wetland ecosystem in China,possessing high ecological service value.Due to multiple factors such as human activities,changes in water and sediment flux,climate change,and invasive alien species,the land use types in the Yellow River Delta are undergoing continuous and significant changes.This dataset is primarily based on 11 temporal phases of Landsat satellite imagery from 1976 to 2024,supplemented with high-resolution imagery and ground-truth survey data.An object-oriented approach was employed to interpret and classify land use types in the Yellow River Delta.The results indicate that the land use classification achieved overall accuracies exceeding 80%,with Kappa coefficients greater than 0.8.The classification outcomes were further refined and manually corrected,ultimately resulting in a long-term vector dataset of land use for the Yellow River Delta spanning 1976-2024.This dataset serves as an important data source for analyzing landscape pattern evolution,assessing regional ecological security,and supporting biodiversity conservation and enhancement in the Yellow River Delta.

关键词

黄河三角洲/土地利用/遥感解译/面向对象

Key words

Yellow River Delta/land use/remote sensing interpretation/object-oriented method

引用本文复制引用

王晓杰,于冬雪,赵庆云,张孝帅,宋维民,初小静,韩广轩..1976-2024年黄河三角洲土地利用类型数据集[J].中国科学数据(中英文网络版),2025,10(4):94-104,11.

基金项目

国家重点研发计划(2022YFF0802100) National Key Research and Development Program in China(2022YFF0802100) (2022YFF0802100)

中国科学数据(中英文网络版)

2096-2223

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