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基于地物时空关系的水浮莲遥感监测方法

郑泳 冯明薇 蔡季宏 罗澍然 秦雁 陈逸敏

中山大学学报(自然科学版)(中英文)2025,Vol.64Issue(3):74-82,9.
中山大学学报(自然科学版)(中英文)2025,Vol.64Issue(3):74-82,9.DOI:10.13471/j.cnki.acta.snus.ZR20240313

基于地物时空关系的水浮莲遥感监测方法

The remote sensing monitoring method of water hyacinth based on geographical spatiotemporal relationship

郑泳 1冯明薇 2蔡季宏 1罗澍然 1秦雁 1陈逸敏2

作者信息

  • 1. 广东省水利水电科学研究院/广东省水动力学应用研究重点实验室,广东 广州 510635
  • 2. 中山大学地理科学与规划学院,广东 广州 510275
  • 折叠

摘要

Abstract

The proliferation of water hyacinth poses serious threats to regional water security and ecological balance.Timely and accurate monitoring of the distribution of water hyacinth is fundamental to its management.To enhance the efficiency,accuracy,and applicability of remote sensing monitoring for water hyacinth,this study proposes a remote sensing monitoring method based on the spatiotemporal relationships of land cover.This method extracts the vegetation range and eliminates the influence of terrestrial vegetation by calculating and comparing the changes in the spectral index relationships of vegetation and water bodies in long-term optical remote sensing images,thereby enabling the rapid extraction of water hyacinth pixels.The effectiveness of this method is validated in the Jianjiang River Basin,and the distribution characteristics of water hyacinth in the basin for the year 2022 are analyzed.The results indicate that this method performs well in identifying water hyacinth,achieving an accuracy of 92.9%and a recall rate of 86.7%.From March to May in 2022,several high-density aggregation areas of water hyacinth were observed in the main rivers of the Jianjiang River Basin,with the overall area of water hyacinth showing a trend of initial increasing and then decreasing.This method provides valuble technical support for the accurate monitoring and precise control of large-scale water hyacinth.

关键词

水浮莲/遥感监测/光谱指数/Sentinel

Key words

water hyacinth/remote sensing/spectral index/Sentinel

分类

天文与地球科学

引用本文复制引用

郑泳,冯明薇,蔡季宏,罗澍然,秦雁,陈逸敏..基于地物时空关系的水浮莲遥感监测方法[J].中山大学学报(自然科学版)(中英文),2025,64(3):74-82,9.

基金项目

广东省科技创新战略专项(gdsky2023-04) (gdsky2023-04)

中山大学学报(自然科学版)(中英文)

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