CN108195766A - A kind of water quality monitoring method based on remote sensing image - Google Patents
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Abstract
The invention discloses a kind of water quality monitoring methods based on remote sensing image, by using experience, semiempirical or the method for physical analysis, select suitable remote sensing wave band data, the remote sensing estimation model of water quality parameter is established to monitor the water quality parameter concentration in water body, it can be from room and time angle analysis water quality condition and situation of change, it was found that some conventional methods are difficult the pollution sources migration feature and analysis disclosed, there is wide monitoring range, quick, low cost and be convenient for long-term dynamics monitoring, wide market.
Description
Technical field
The present invention relates to water quality monitoring field, more particularly to a kind of water quality monitoring method based on remote sensing image.
Background technology
The quality of water quality directly affects the development of national economy and the raising of living standards of the people.However, with water body
The getting worse of pollution problem, especially water body in lake pollution in recent years and nutrient laden problem, seriously restrict national economy
Quick sustainable development, and daily life and health are affected, quick accurately monitoring lake water quality has been shown
Must be particularly necessary, but conventional monitoring methods are arduously time-consuming, and only will appreciate that the water pollution situation of monitoring section, it is difficult to it obtains big
The variation tendency and spatial distribution state of scale water quality, it is impossible to meet a wide range of, dynamic monitoring and evaluation requirement in real time.
Invention content
The technical problems to be solved by the invention are to provide a kind of water quality monitoring method based on remote sensing image, existing to solve
There are caused the above-mentioned defects in technology.
To achieve the above object, the present invention provides following technical solution：A kind of water quality monitoring side based on remote sensing image
Method includes the following steps：
(1) image is obtained
The raw image data of survey region is acquired first, then raw image data is cut out, and obtains research area
Raw image data；
(2) geometric correction
Research area's raw image data is subjected to geometric accurate correction using bilinear interpolation method, obtains image；
(3) radiant correction
Spoke luminance picture is converted the image into followed by Absolute Radiometric Calibration Coefficients；
(4) atmospheric correction
Spoke luminance picture is subjected to FLAASH calibration model corrections, the remote sensing images after being corrected using software；
It is BIL forms by document format conversion 1. the spoke luminance picture after radiant correction is synthesized multiband file；
2. generate pop receptance function；
3. prompting to input remote sensing satellite parameter according to correlation, including sensor type, the date is imaged, center longitude is sat
Mark, satellite altitude, pixel resolution study area's elevation；
4. select atmospheric correction models and aerosol model, the remote sensing images after being corrected；
(5) acquisition of the spatial distribution state of water quality parameter
Using Arc GIS down space analysis modules, spatial interpolation is carried out to water quality data, obtains the space point of water quality parameter
Cloth situation；
(6) multiple linear regression model is built
Quantitative remote sensing is carried out to water quality parameter using remote sensing images, with SPSS softwares to carrying out each of multiple regression
Wave band and band combination do correlation analysis, through significance test and residual analysis, exclude the shadow of multicollinearity in multiple regression
It rings.After excluding auto-correlation band combination, the multivariate regression models of water quality parameter concentration is established.
Preferably, the requirement of raw image data is high for visibility in the step (1), and remote sensing images are clear.
Preferably, the image data errors precision controlling in the step (2) after geometric correction is within 0-1 pixel.
Preferably, image conversion formula is L=DN/a+L in the step (3)0, the L is spoke brightness, and DN is image
Value, a be Absolute Radiometric Calibration Coefficients gain, L0For offset.
Preferably, it needs to carry out significance test after structure multiple linear regression model in the step (6).
Preferably, the method for the significance test is tests to each independent variable using residual analysis.
It is using the advantageous effect of above technical scheme：A kind of water quality monitoring side based on remote sensing image provided by the invention
Method by using experience, semiempirical or the method for physical analysis, selects suitable remote sensing wave band data, establishes water quality parameter
Remote sensing estimation model monitor the water quality parameter concentration in water body, it can from room and time angle analysis water quality condition and
Situation of change, it is difficult the pollution sources migration feature and analysis disclosed to find some conventional methods, have monitoring range it is wide,
Quickly, low cost and be convenient for long-term dynamics monitoring the advantages of, wide market.
Specific embodiment
The following detailed description of the preferred embodiment of the present invention.
Embodiment 1：
A kind of water quality monitoring method based on remote sensing image, includes the following steps：
(1) image is obtained
The raw image data of survey region is acquired first, then raw image data is cut out, and obtains research area
Raw image data, the requirement of the raw image data is high for visibility, and remote sensing images are clear；
(2) geometric correction
Research area's raw image data is subjected to geometric accurate correction using bilinear interpolation method, obtains image, the geometry
Image data errors precision controlling after correction is within 0.3 pixel；
(3) radiant correction
Spoke luminance picture is converted the image into followed by Absolute Radiometric Calibration Coefficients, described image conversion formula is L=
DN/a+L0, the L is spoke brightness, and DN is image value, and a is Absolute Radiometric Calibration Coefficients gain, L0For offset；
(4) atmospheric correction
Spoke luminance picture is subjected to FLAASH calibration model corrections, the remote sensing images after being corrected using software；
It is BIL forms by document format conversion 1. the spoke luminance picture after radiant correction is synthesized multiband file；
2. generate pop receptance function；
3. prompting to input remote sensing satellite parameter according to correlation, including sensor type, the date is imaged, center longitude is sat
Mark, satellite altitude, pixel resolution study area's elevation；
4. select atmospheric correction models and aerosol model, the remote sensing images after being corrected；
(5) acquisition of the spatial distribution state of water quality parameter
Using Arc GIS down space analysis modules, spatial interpolation is carried out to water quality data, obtains the space point of water quality parameter
Cloth situation；
(6) multiple linear regression model is built
Quantitative remote sensing is carried out to water quality parameter using remote sensing images, with SPSS softwares to carrying out each of multiple regression
Wave band and band combination do correlation analysis, through significance test and residual analysis, exclude the shadow of multicollinearity in multiple regression
It rings.After excluding auto-correlation band combination, the multivariate regression models of water quality parameter concentration, the structure multiple linear regression are established
It needs to carry out significance test after model, the method for the significance test is examines each independent variable using residual analysis
It tests.
Embodiment 2：
A kind of water quality monitoring method based on remote sensing image, includes the following steps：
(1) image is obtained
The raw image data of survey region is acquired first, then raw image data is cut out, and obtains research area
Raw image data, the requirement of the raw image data is high for visibility, and remote sensing images are clear；
(2) geometric correction
Research area's raw image data is subjected to geometric accurate correction using bilinear interpolation method, obtains image, the geometry
Image data errors precision controlling after correction is within 0.6 pixel；
(3) radiant correction
Spoke luminance picture is converted the image into followed by Absolute Radiometric Calibration Coefficients, described image conversion formula is L=
DN/a+L0, the L is spoke brightness, and DN is image value, and a is Absolute Radiometric Calibration Coefficients gain, L0For offset；
(4) atmospheric correction
Spoke luminance picture is subjected to FLAASH calibration model corrections, the remote sensing images after being corrected using software；
It is BIL forms by document format conversion 1. the spoke luminance picture after radiant correction is synthesized multiband file；
2. generate pop receptance function；
3. prompting to input remote sensing satellite parameter according to correlation, including sensor type, the date is imaged, center longitude is sat
Mark, satellite altitude, pixel resolution study area's elevation；
4. select atmospheric correction models and aerosol model, the remote sensing images after being corrected；
(5) acquisition of the spatial distribution state of water quality parameter
Using Arc GIS down space analysis modules, spatial interpolation is carried out to water quality data, obtains the space point of water quality parameter
Cloth situation；
(6) multiple linear regression model is built
Quantitative remote sensing is carried out to water quality parameter using remote sensing images, with SPSS softwares to carrying out each of multiple regression
Wave band and band combination do correlation analysis, through significance test and residual analysis, exclude the shadow of multicollinearity in multiple regression
It rings.After excluding auto-correlation band combination, the multivariate regression models of water quality parameter concentration, the structure multiple linear regression are established
It needs to carry out significance test after model, the method for the significance test is examines each independent variable using residual analysis
It tests.
Embodiment 3：
A kind of water quality monitoring method based on remote sensing image, includes the following steps：
(1) image is obtained
The raw image data of survey region is acquired first, then raw image data is cut out, and obtains research area
Raw image data, the requirement of the raw image data is high for visibility, and remote sensing images are clear；
(2) geometric correction
Research area's raw image data is subjected to geometric accurate correction using bilinear interpolation method, obtains image, the geometry
Image data errors precision controlling after correction is within 1 pixel；
(3) radiant correction
Spoke luminance picture is converted the image into followed by Absolute Radiometric Calibration Coefficients, described image conversion formula is L=
DN/a+L0, the L is spoke brightness, and DN is image value, and a is Absolute Radiometric Calibration Coefficients gain, L0For offset；
(4) atmospheric correction
Spoke luminance picture is subjected to FLAASH calibration model corrections, the remote sensing images after being corrected using software；
It is BIL forms by document format conversion 1. the spoke luminance picture after radiant correction is synthesized multiband file；
2. generate pop receptance function；
3. prompting to input remote sensing satellite parameter according to correlation, including sensor type, the date is imaged, center longitude is sat
Mark, satellite altitude, pixel resolution study area's elevation；
4. select atmospheric correction models and aerosol model, the remote sensing images after being corrected；
(5) acquisition of the spatial distribution state of water quality parameter
Using Arc GIS down space analysis modules, spatial interpolation is carried out to water quality data, obtains the space point of water quality parameter
Cloth situation；
(6) multiple linear regression model is built
Quantitative remote sensing is carried out to water quality parameter using remote sensing images, with SPSS softwares to carrying out each of multiple regression
Wave band and band combination do correlation analysis, through significance test and residual analysis, exclude the shadow of multicollinearity in multiple regression
It rings.After excluding auto-correlation band combination, the multivariate regression models of water quality parameter concentration, the structure multiple linear regression are established
It needs to carry out significance test after model, the method for the significance test is examines each independent variable using residual analysis
It tests.
After above method, sample is taken out respectively, and measurement result is as follows：
| Detection project | Embodiment 1 | Embodiment 2 | Embodiment 3 | Existing index |
| Monitoring range | Extensively | Extensively | Extensively | It is relatively wide |
| Monitoring velocity | Soon | Soon | Soon | Comparatively fast |
| Cost savings rate (%) | 3 | 11 | 9 | 0 |
It can be obtained according to above table data, when the parameter of embodiment 2, monitoring range is wide, quick, low cost, this
When be more advantageous to the monitoring of water quality.
The present invention provides a kind of water quality monitoring method based on remote sensing image, by using experience, semiempirical or object
The method for managing analysis, selects suitable remote sensing wave band data, establishes the remote sensing estimation model of water quality parameter to monitor in water body
Water quality parameter concentration, it can find some conventional methods very from room and time angle analysis water quality condition and situation of change
The pollution sources migration feature and analysis that hardly possible discloses have wide monitoring range, quick, low cost and are convenient for dynamic for a long time
The advantages of state monitors, wide market.
What has been described above is only a preferred embodiment of the present invention, it is noted that for those of ordinary skill in the art
For, without departing from the concept of the premise of the invention, various modifications and improvements can be made, these belong to the present invention
Protection domain.
Claims (6)
1. a kind of water quality monitoring method based on remote sensing image, which is characterized in that include the following steps：
(1) image is obtained
The raw image data of survey region is acquired first, then raw image data is cut out, and it is original to obtain research area
Image data；
(2) geometric correction
Research area's raw image data is subjected to geometric accurate correction using bilinear interpolation method, obtains image；
(3) radiant correction
Spoke luminance picture is converted the image into followed by Absolute Radiometric Calibration Coefficients；
(4) atmospheric correction
Spoke luminance picture is subjected to FLAASH calibration model corrections, the remote sensing images after being corrected using software；
It is BIL forms by document format conversion 1. the spoke luminance picture after radiant correction is synthesized multiband file；
2. generate pop receptance function；
3. prompting to input remote sensing satellite parameter according to correlation, including sensor type, the date is imaged, center longitude coordinate is defended
Elevation, pixel resolution study area's elevation；
4. select atmospheric correction models and aerosol model, the remote sensing images after being corrected；
(5) acquisition of the spatial distribution state of water quality parameter
Using Arc GIS down space analysis modules, spatial interpolation is carried out to water quality data, obtains the spatial distribution shape of water quality parameter
Condition；
(6) multiple linear regression model is built
Quantitative remote sensing is carried out to water quality parameter using remote sensing images, with SPSS softwares to each wave band of progress multiple regression
Correlation analysis is done with band combination, through significance test and residual analysis, excludes the influence of multicollinearity in multiple regression.Row
After auto-correlation band combination, the multivariate regression models of water quality parameter concentration is established.
A kind of 2. water quality monitoring method based on remote sensing image according to claim 1, which is characterized in that the step
(1) requirement of raw image data is high for visibility in, and remote sensing images are clear.
A kind of 3. water quality monitoring method based on remote sensing image according to claim 1, which is characterized in that the step
(2) the image data errors precision controlling in after geometric correction is within 0-1 pixel.
A kind of 4. water quality monitoring method based on remote sensing image according to claim 1, which is characterized in that the step
(3) image conversion formula is L=DN/a+L in0, the L is spoke brightness, and DN is image value, and a increases for Absolute Radiometric Calibration Coefficients
Benefit, L0For offset.
A kind of 5. water quality monitoring method based on remote sensing image according to claim 1, which is characterized in that the step
(6) it needs to carry out significance test after structure multiple linear regression model in.
A kind of 6. water quality monitoring method based on remote sensing image according to claim 5, which is characterized in that the conspicuousness
The method of inspection is tests to each independent variable using residual analysis.
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Cited By (4)
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| CN109187356A (en) * | 2018-08-30 | 2019-01-11 | 南京都宁大数据科技有限公司 | Soybean growing way prediction technique based on satellite remote sensing date |
| CN109297968A (en) * | 2018-11-21 | 2019-02-01 | 河南工业职业技术学院 | A kind of method of generation face domain water quality monitoring result |
| CN109447916A (en) * | 2018-10-30 | 2019-03-08 | 环境保护部华南环境科学研究所 | A kind of water quality quantitative approach based on high-resolution remote sensing image |
| CN110865040A (en) * | 2019-11-29 | 2020-03-06 | 深圳航天智慧城市系统技术研究院有限公司 | Sky-ground integrated hyperspectral water quality monitoring and analyzing method |
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