Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Lake water body blue-green algae abundance estimation method based on remote sensing

A technology for lakes and water bodies, applied in the field of remote sensing, can solve the problems of inaccurately reflecting the content of cyanobacteria, and achieve the effect of simple method and high precision

Inactive Publication Date: 2014-04-30
NANJING INST OF GEOGRAPHY & LIMNOLOGY
View PDF5 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the use of remote sensing to monitor cyanobacteria blooms is mainly achieved by monitoring the concentration of chlorophyll a in the water body. The concentration of chlorophyll a here is the sum of the concentration of chlorophyll a of all algae in the water body, which cannot accurately reflect the content of cyanobacteria in it.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Lake water body blue-green algae abundance estimation method based on remote sensing
  • Lake water body blue-green algae abundance estimation method based on remote sensing
  • Lake water body blue-green algae abundance estimation method based on remote sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] According to the method of the present invention, the remote sensing reflectance of the water body is obtained by using the surface object spectrometer to measure the lake water body on site, and the cyanobacteria abundance of the water body is estimated, and compared with the measured PC:Chl-a value. The measured values ​​of PC:Chl-a are shown in Table 1 below.

[0030] From the remote sensing reflectance spectrum of the water body ( figure 1 ), select the remote sensing reflectance with wavelengths of 550nm and 620nm, and calculate the abundance of cyanobacteria in the water body according to the method of the present invention, the estimated value and the corresponding error are shown in Table 1 below:

[0031] Table 1

[0032] Measured valuePC:Chl-a Estimated PC:Chl-a Relative error absolute error 0.187087 0.248376 0.327595 0.061289 0.246314 0.265974 0.079816 0.01966 0.302637 0.269286 0.1102 0.033351 0.362848 0.302774 0.1...

Embodiment 2

[0038] By adopting the method of the invention, the abundance of cyanobacteria is estimated for a certain reservoir by using aerial hyperspectral image data. Firstly, radiometric calibration and atmospheric correction are performed on the image data to obtain the remote sensing reflectance data; the remote sensing reflectance ( figure 2 ), into the calculation model of cyanobacteria abundance, calculate the cyanobacteria abundance of the water body, and output the spatial distribution map of cyanobacteria abundance ( image 3), the estimated value is compared with the measured PC:Chl-a value, and the result is reasonable. The estimated water body cyanobacteria abundance and corresponding errors are shown in Table 2 below:

[0039] Table 2

[0040] Measured valuePC:Chl-a Calculated value PC:Chl-a Relative error absolute error 0.155388 0.182984 0.177591 0.027596 0.160087 0.264456 0.651956 0.104369 0.24109 0.356432 0.47842 0.115342 0.2...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a lake water body blue-green algae abundance estimation method based on remote sensing. The method comprises the following steps: carrying out high-spectrum remote sensing measurement on a lake water body by utilizing the concentration ratio of phycocyanin and chlorophyll to represent the blue-green algae abundance, selecting the ratio of remote sensing reflective rates of the two specific wave lengths and a function thereof as characteristics of blue-green algae, establishing an estimation model of the lake water body blue-green algae abundance, and estimating the lake water body blue-green algae abundance based on remote sensing. The method provided by the invention adopts a surface feature spectrograph or an onboard high-spectrum imager to carry out high-spectrum remote sensing on the lake water body, and the remote sensing reflective rate required for estimation can be obtained through performing radiation correction and atmospheric correction on aviation satellite high-spectrum data. The method provided by the invention has the advantages that the accuracy is high, the model is simple, the remote sensing reflective rates of the two wave lengths are selected, not only can the estimation on the water body blue-green algae abundance measured by the surface feature spectrograph be realized, but also the estimation on the blue-green algae abundance by virtue of aviation high-spectrum remote-sensing images is realized.

Description

Technical field [0001] The invention is a remote sensing technology field in the field of remote sensing technology, which involves the remote sensing monitoring method of cyanobacteria in a lake and water body. It specifically involves a estimated method of the extravagant algae in the lake -based lake and water body. Background technique [0002] The lake richness and cyanobacteria water outbreaks are one of the most important environmental issues facing the current global lake. Especially the cyanobacteria water has become the focus of the world's attention to the nutritional control of lakes.The "Three Lakes" of the country's key governance -Taihu, Chaohu and Dianchi Lake Water's outbreaks often occur, which has a great impact on local industrial and agricultural production and the lives of residents, and has caused major economic losses.Water Huahua occurred almost every year in Taihu. In 1990, the Liangwan Bay Lantan Lanta Water Huada, which caused 116 factories in Wuxi Cit...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/25
Inventor 施坤张运林
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products