Spectral Characteristics of Nitrogen and Phosphorus in Water

  • Meiping SongEmail author
  • En Li
  • Chein-I Chang
  • Yulei Wang
  • Chunyan Yu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


The concentration of nitrogen and phosphorus in the waters is an important indicator to affect water quality and determine the degree of water pollution. The development of hyperspectral remote sensing technology makes it possible to monitor the concentrations of nitrogen and phosphorus in different water areas. In this experiment, the spectral curves of different concentrations of nitrogen and phosphorus solutions were collected by using an imaging spectrometer under laboratory conditions. Then compare the spectral curves of different concentrations of sodium phosphate solution by PSR spectrometer, to analyze the sensitive bands of nitrogen and phosphorus. The experimental results show that for phosphorus, its concentration as a whole is positively correlated with the spectral reflectance. In the wavelength range of 450–630 nm, there is a strong positive correlation between the concentration of phosphorus and the spectral reflectance. The correlation coefficient is above 0.8, and the maximum positive correlation is 0.9 at 550, 603, and 740 nm. For nitrogen, its concentration as a whole is negatively correlated with the spectral reflectance. In the wavelength range of 560–850 nm, the correlation coefficient fluctuates within the range from −0.6 to 0.95, and the maximum negative correlation of 0.95 is achieved at 603, 670, and 807 nm.


Hyperspectral remote sensing Nitrogen and phosphorus elements Correlation coefficient 



This work is supported by the National Nature Science Foundation of China (61601077), Fundamental Research Funds for the Central Universities (3132016331, 3132018196) and the Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences (LSIT201707D).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Meiping Song
    • 1
    • 2
    Email author
  • En Li
    • 1
  • Chein-I Chang
    • 1
    • 3
  • Yulei Wang
    • 1
  • Chunyan Yu
    • 1
  1. 1.Dalian Maritime UniversityDalianChina
  2. 2.State Key Laboratory of Integrated Services NetworksXianChina
  3. 3.Department of Computer Science and Electrical EngineeringUniversity of Maryland, Baltimore CountyBaltimoreUSA

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