Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact of extreme drought events

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成果类型：

期刊论文

作者：

Xiong, Kai;Deng, Bin;Liu, Jiang;Guan, Zhixing;Lu, Weizhi;...

通讯作者：

Deng, B

作者机构：

[Yin, Longbin; Yang, Kang; Rao, Han; Liu, Jiang; Deng, B; Xiong, Kai; Deng, Bin; Guan, Zhixing; Luo, Wei] Changsha Univ Sci & Technol, Sch Hydraul & Ocean Engn, Changsha 410114, Peoples R China.

[Jiang, Changbo; Deng, B; Deng, Bin] Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410114, Peoples R China.

[Guan, Zhixing] Hunan Port Shipping & Water Resources Grp Co Ltd, Changsha 410004, Peoples R China.

[Lu, Weizhi] Natl Engn Lab Appl Technol Forestry & Ecol Souther, Changsha 410004, Peoples R China.

[Lu, Weizhi] Cent South Univ Forestry & Technol, Coll Ecol & Environm, Changsha 410004, Peoples R China.

通讯机构：

[Deng, B ] C

Changsha Univ Sci & Technol, Sch Hydraul & Ocean Engn, Changsha 410114, Peoples R China.

Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410114, Peoples R China.

语种：

英文

关键词：

Chlorophyll-a retrieval;Optical water types;Ensemble learning;Extreme drought;Remote sensing

期刊：

Ecological Indicators

ISSN：

1470-160X

年：

2025

卷：

177

页码：

113738

DOI：

10.1016/j.ecolind.2025.113738

基金类别：

National Natural Science Foundation of China [52109006]; Science and Technology Innovation Program of Hunan Province, China [2020RC3037, 20hnkj019]; Postgraduate Scientific Research Innovation Project of Hunan Province [CX20220906, CX20230891]

机构署名：

本校为第一且通讯机构

摘要：

Accurate and robust retrieval of chlorophyll-a (Chl-a) concentrations in optically complex lakes is critical for effective water quality monitoring, especially under frequent extreme climatic conditions. This study proposes an integrated framework combining optical water type (OWTs) classification and ensemble learning algorithms to enhance the re- mote sensing retrieval accuracy of Chl-a in Dongting Lake and Poyang Lake during 2020–2023, particularly during the extreme drought event of 2022. Firstly, K-means clustering combined with spectral ...

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Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact of extreme drought events

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