A semi-analytical approach for remote sensing of trophic state in inland waters: Bio-optical mechanism and application

被引：53

作者：

Shi K. ^{[1
,2
,3
]}

Zhang Y. ^{[1
,2
]}

Song K. ^{[4
]}

Liu M. ^{[5
]}

Zhou Y. ^{[1
,2
]}

Zhang Y. ^{[1
,2
]}

Li Y. ^{[1
,2
]}

Zhu G. ^{[1
,2
]}

Qin B. ^{[1
,2
]}

机构：

[1] Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing

[2] University of Chinese Academy of Sciences, Beijing

[3] CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing

[4] Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun

[5] Hangzhou Institute of Environment Science, Hangzhou

来源：

Remote Sensing of Environment | 2019年 / 232卷

基金：

中国国家自然科学基金;

关键词：

Absorption coefficients; Landsat; 8; OLI; Optically active constituents; Quasi-analytical algorithm (QAA); Trophic status;

D O I：

10.1016/j.rse.2019.111349

中图分类号：

学科分类号：

摘要：

The trophic state index (TSI) is a vital parameter for aquatic ecosystem assessment. Thus, information on the spatial and temporal distribution of TSI is critical for supporting scientifically sound water resource management decisions. We proposed a semi-analytical approach to remotely estimate TSI based on Landsat 8 OLI data for inland waters. The approach has two major steps: deriving the total absorption coefficient of optically active constituents (OACs) and building the relationship between the total absorption coefficient and TSI. First, version 6.0 of the Quasi-Analytical Algorithm (QAA_V6, developed by Zhongping Lee) was implemented with Landsat 8 OLI data to derive the total absorption coefficients of the OACs. Second, we modeled TSI using the total absorption coefficients of OACs at 440 nm based on a large in situ measurement dataset. The total absorption coefficient of OACs at 440 nm gave satisfactory validation results for modeling TSI with a mean absolute percent error of 6% and a root-mean-square error of 5.77. Then, we performed this approach in three inland waters with various eutrophic statuses to validate its results, and the approach demonstrated a robust and satisfactory performance. Finally, an application of the approach was demonstrated in Lake Qiandaohu. Our semi-analytical approach has a sound optical mechanism and extensive application for different trophic inland waters. © 2019 Elsevier Inc.

引用

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