基于修正的增强归一化差异水体指数的富营养化水体信息提取研究
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1.河海大学地球科学与工程学院,南京 211100 ;2.河海大学地理与遥感学院,南京 210098 ;3.河海大学,流域水土过程省高校重点实验室,南京 211100 ;4.安徽省·水利部淮河水利委员会水利科学研究院,合肥 230088

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国家自然科学基金项目(41701487,42230112,42071346);江苏省海洋科技创新项目(JSZRHYKJ202302);中央高校基本科研业务费专项(2019B02714);国家留学基金项目联合资助


Eutrophic water information extraction based on modified augmented normalized difference water index
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1.College of Earth Sciences and Engineering, Hohai University, Nanjing 211100 , P.R.China ;2.College of Geography and Remote Sensing, Hohai University, Nanjing 210098 , P.R.China ;3.Key Laboratory of Watershed Soil and Water Processes, Hohai University, Nanjing 211100 , P.R.China ;4.Water Conservancy Research Institute of Huaihe River Water Conservancy Committee, Ministry of Water Resources, Anhui Province, Hefei 230088 , P.R.China

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    摘要:

    增强归一化差异水体指数(augmented normalized difference water index, ANDWI)是一种新颖、稳健的水体指数,但在某些情况下ANDWI可能对表面聚集型水华的水体提取效果较差;因此,本文依据水体指数ANDWI的特点及富营养化水体指数(improved eutrophic water body index, MEWI)的构建思路,基于富营养化水体等地物的光谱特性,构造了修正的增强归一化差异水体指数(modified augmented normalized difference water index, MANDWI)。本文以不同季节、不同水华等级的太湖进行水体提取验证,将MANDWI与双红外水体指数(double infrared band water index, DIBWI)、MEWI、多波段组合水体指数(multi-band combination water index, MBCWI)和ANDWI进行对比,结果表明MANDWI适用于不同季节且具有较好的水体提取效果,随着水华等级提升,MADNWI仍具有较高的水体提取精度(总体精度为0.99,Kappa系数为0.98),而其他水体指数的提取效果较差。MANDWI的提出增强了遥感水体提取能力,对于水资源管理和保护具有重要意义,同时也为类似水体指数的构建提供参考。

    Abstract:

    The augmented normalized difference water index (ANDWI) is novel and robust. However, in some cases, ANDWI may be less effective in extracting water body with more surface-floating algal bloom. Therefore, considering the characteristics of ANDWI and the construction of the improved eutrophic water body index (MEWI), this paper constructed the modified augmented normalized difference water index (MANDWI) based on the spectral characteristics of eutrophic water body and other surface features. In this paper, water extraction verification was carried out in Lake Taihu with different seasons and different algal bloom levels. MANDWI was compared with DIBWI (double infrared band water index), MEWI, MBCWI (multi-band combination water index), and ANDWI. The results showed that MANDWI was suitable for different seasons and had a good water extraction effect. With the increase of algal bloom level, MADNWI still has high water extraction accuracy (overall accuracy is 0.99, Kappa coefficient is 0.98), while the extraction effects of other indices were poor. The proposal of MANDWI enhanced the ability of remote sensing water extraction, which was of great significance for water resource management and protection, and also provided a reference for the development of similar water body index.

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宋昊,潘鑫,谢文英,杨子,黄祚继,王春林,杨英宝.基于修正的增强归一化差异水体指数的富营养化水体信息提取研究.湖泊科学,2025,37(2):378-388. DOI:10.18307/2025.0212

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  • 收稿日期:2024-03-29
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  • 在线发布日期: 2025-03-11
  • 出版日期: 2025-03-06
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