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Determination of transparency of reservoir water by the hyperspectral - remote sensing technology (CAT#: STEM-PPA-0075-LJX)

Introduction

Transparency, as an important parameter to describe the optical properties and visibility of water bodies, is an important index to measure the quality of water quality and evaluate the eutrophication of lakes, and is also an indispensable item in the investigation of water quality of reservoirs, lakes and surface water. The transparency of reservoir water can be obtained by using the empirical inversion model based on the remote sensing image and the measured water quality parameters.




Principle

For water bodies, the spectral characteristics of water are mainly determined by the material composition of water itself, and are also affected by various water states. The substances that affect the intensity and spectral distribution of light in lake water can be roughly divided into three categories: planktonic algal pigments, yellow substances and suspended substances. In addition to the suspended particles do not absorb light significantly under their natural concentration conditions, the other two substances choose to absorb light in a certain wavelength range, forming their own absorption spectrum.
The scattering of light by molecules and molecular polymers in water changes the direction of light, and the backscattered light returns to the water surface together with the reflected light at the bottom, and returns to the atmosphere through the water-gas interface, which is the part that can be detected by remote sensing. This part of light reflects the absorption characteristics inside the water body. Therefore, the difference of component content in water results in the significant difference of reflectance in a certain wavelength range, which becomes the basis of quantitative model monitoring water quality parameters by remote sensing technology.

Applications

For detecting the transparency of liquids

Procedure

1. Obtain reflection spectrum data of water body
2. Build a model
3. Deduce by algorithm
4. Model verification
5. Obtain test results

Materials

• Sample Type:
Reservoir water

Notes

Select suitable models and algorithms for different water bodies.
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