Detection of total phosphorus concentrations of turbid inland waters using a remote sensing method
Phosphorus (P) is widely known as a limiting nutrient of water eutrophication for inland
freshwater ecosystems. Owing to the complexity of P chemistry, remote sensing detection of
total phosphorus (TP) concentrations currently remains limited especially for optically
complex turbid inland waters. To address this need, a new TP remote sensing algorithm is
developed based on prior water optical classification and the use of support vector
regression (SVR) machine. The in situ observed datasets, used in this study, were collected …
freshwater ecosystems. Owing to the complexity of P chemistry, remote sensing detection of
total phosphorus (TP) concentrations currently remains limited especially for optically
complex turbid inland waters. To address this need, a new TP remote sensing algorithm is
developed based on prior water optical classification and the use of support vector
regression (SVR) machine. The in situ observed datasets, used in this study, were collected …
Detection of total phosphorus concentrations of turbid inland waters using a remote sensing method.
SDY Sun DeYong, QZF Qiu ZhongFeng… - 2014 - cabidigitallibrary.org
Phosphorus (P) is widely known as a limiting nutrient of water eutrophication for inland
freshwater ecosystems. Owing to the complexity of P chemistry, remote sensing detection of
total phosphorus (TP) concentrations currently remains limited especially for optically
complex turbid inland waters. To address this need, a new TP remote sensing algorithm is
developed based on prior water optical classification and the use of support vector
regression (SVR) machine. The in situ observed datasets, used in this study, were collected …
freshwater ecosystems. Owing to the complexity of P chemistry, remote sensing detection of
total phosphorus (TP) concentrations currently remains limited especially for optically
complex turbid inland waters. To address this need, a new TP remote sensing algorithm is
developed based on prior water optical classification and the use of support vector
regression (SVR) machine. The in situ observed datasets, used in this study, were collected …
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