Eutrophic water information extraction based on modified augmented normalized difference water index

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。

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Publication Details

Journal
Journal of Lake Sciences
Published
2025-01-01
DOI
https://doi.org/10.18307/2025.0212
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11
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article

Eutrophic water information extraction based on modified augmented normalized difference water index

Hao Song, Huang Zuoji, Zi Yang, Xin Pan et al.
1 citations
Journal of Lake Sciences
Flood Risk Assessment and Management
1.11
article

Eutrophic water information extraction based on modified augmented normalized difference water index

Hao Song, Huang Zuoji, Zi Yang, Xin Pan, Yingbao Yang, Chunlin Wang, Wenying Xie
article en
1 citations

Abstract

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。

Journal of Lake SciencesVol. 37(2)
Clean water and sanitation
Openalex Percentile: Top 26%
Flood Risk Assessment and Management
1.11
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