CN113326827A - Satellite remote sensing method and system for monitoring water body entering sea drainage port - Google Patents
Satellite remote sensing method and system for monitoring water body entering sea drainage port Download PDFInfo
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Abstract
The invention discloses a satellite remote sensing method and a system for monitoring a water body entering a sea drainage port, wherein the method comprises the following steps: selecting a research area, downloading satellite remote sensing data and carrying out data preprocessing to obtain Rayleigh corrected reflectivity after the area is selectedR rcData; masking the construction land on the shore to obtain a construction land pixel and a non-construction land pixel; identifying a tidal flat pixel and a non-tidal flat pixel from the obtained non-construction land pixel; and identifying the pixels of the non-tidal flat water body based on a chrominance method to obtain the pixels of the drainage water body. The invention uses the Rayleigh correction reflectivity of the satellite based on the spectral characteristics and the color characteristics of the polluted water body at the sea entrance and discharge portR rcData, a decision tree based on NDWI and a colorimetric method is established for extracting the polluted water body at the sea entrance and discharge port, the discharge conditions of the polluted water body at the sea entrance, such as the discharge range, the flow direction, the diffusion range and the like, can be accurately monitored, and a basis is provided for local government to make management policies.
Description
Technical Field
The invention relates to the technical field of satellite remote sensing, in particular to a satellite remote sensing method and a satellite remote sensing system for monitoring a water body entering a sea drainage port.
Background
Although the overall condition of marine ecological environment in China is good, polluted seawater still exists in various sea areas, particularly coastal sea areas in the east of China, the eutrophication degree of the seawater reaches moderate to severe degree, and inorganic nitrogen and active phosphate are main standard-exceeding indexes. Therefore, the protection of marine environment is imperative.
For remote sensing monitoring of the sewage body entering the sea, an inversion model for establishing important water quality parameter indexes such as Chl-a concentration, total suspended matter concentration and the like is commonly adopted by predecessors to further evaluate the water quality. Li bin et al (2007) utilize actual measurement inorganic nitrogen data and water body remote sensing reflectivity, adopt a partial least squares regression method to establish an inversion model of inorganic nitrogen concentration, and invert the spatial-temporal distribution of inorganic nitrogen at the mouth of a pearl river based on Landsat TM and SeaWiFS (Sea-viewing Wide Field-of-view) remote sensing images. Gujie et al (2017) establish a Chemical Oxygen Demand (COD) hyperspectral inversion model by performing correlation analysis on field measured spectral data and water quality parameter concentration, and perform remote sensing inversion to obtain the spatial distribution characteristic of the COD concentration in the Haochiedian sea area. The coastal nutrient contamination was analyzed using WorldView-2 multispectral images, monitored by Maruf et al (2020) for Chl-a concentration. Deng et al (2004) extracted polluted regions of the water area at the pearl estuary based on secondary scattering, and found that the water passage of the Tiger gate, the Dongbaohe and the like are main pollution sources. Parameters such as Chl-a concentration, total suspended matter concentration and the like are inverted by utilizing Landsat TM remote sensing data, Wu Ming dynasty and the like (2012), a key monitoring area is identified, and a high-resolution remote sensing image is utilized to visually interpret a sewage outlet. Besides extracting the chlorophyll concentration in the bay of Lazhou by using a medium-resolution Imaging spectrometer (MODIS) and ENVIAT-ASAR-WSM data to draw a conclusion that the chlorophyll concentration in the sea area is higher, Chengjie et al (2012) also use Landsat different wave band color synthetic images to analyze the influence area of sewage on the sea water based on the color difference between the polluted sea water and the normal water. In recent years, digital image processing methods such as image segmentation algorithms have also been applied to extraction of sewage entry ports. Songxinger et al (2017) adopt an improved Grab-Cut image segmentation algorithm to draw a conclusion that the sea water pollution condition of the Bohai Bay in nearly 3 years is serious.
In summary, at present, remote sensing monitoring research on water bodies at sea-entering sewage drainage openings is less, most of the existing research is conducted on inversion of water color parameters so as to evaluate pollution conditions, but the quantitative inversion accuracy and applicability of the water color parameters are greatly influenced by the characteristic of high turbidity of the water bodies near the shore, and research is less for the discharge range, flow direction, diffusion range and time change of the water bodies polluted by sea-entering, and a systematic remote sensing monitoring algorithm does not exist.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is to provide a satellite remote sensing method and system for monitoring a water body entering a sea drainage port, which can accurately monitor the discharge conditions of the polluted water body entering the sea, such as the discharge range, the flow direction, the diffusion range, etc.
In order to achieve the aim, the invention provides a satellite remote sensing method for monitoring a water body entering a sea drainage port, which comprises the following steps:
step 1, selecting a research area, downloading satellite remote sensing data and carrying out data preprocessing after the area is selected to obtain Rayleigh corrected reflectivityR rcData;
step 2, masking the construction land on the shore to obtain construction land pixels and non-construction land pixels;
step 3, identifying a tidal flat pixel and a non-tidal flat pixel from the obtained non-construction land pixel;
and 4, identifying the pixels of the non-tidal flat water body based on a chromaticity method to obtain the pixels of the drainage water body.
Preferably, the satellite remote sensing data is preprocessed by Acolite software to obtain Rayleigh correction reflectivityR rcAnd (4) data.
Preferably, the on-shore construction site masking is performed using an ROI tool of enii.
Preferably, the mudflat pixels and the non-mudflat pixels are identified from the obtained non-construction land pixels, and the mudflat pixels based on the NDWI index are adopted for identification.
Preferably, the mudflat pixel identification based on the NDWI index is adopted, and when the NDWI value is more than or equal to the threshold value of-0.0508, the pixel category is judged as the mudflat pixel:
NIR is the Rayleigh reflectance in the near infrared band and Red is the Rayleigh reflectance in the Red band.
Preferably, the pixels of the non-tidal flat water body are identified based on a chromaticity method to obtain the pixels of the drainage water body, and the method specifically comprises the following steps:
correcting reflectivity based on the RayleighR rcThe R, G, B wave band in the spectrum of the data is calculated according to the following formula (2) to obtain the chromaticity coordinate (x, y, z) Then using the chromaticity coordinates (x, y) Establishing a new chromaticity coordinate system (0.3333 ) with the isoenergetic white point E as the originx’, y'), and finally calculating the vector (5) according to the following formulax’, y') andxangle of axisαWhen is coming into contact withαWhen the pixel class is less than or equal to the threshold value 49.2308, the pixel class is judged as the pixels of the drainage water body:
the invention also provides a satellite remote sensing system for monitoring the water body at the sea drainage port, which comprises:
the data processing module is used for selecting a research area, downloading satellite remote sensing data after the area is selected, and carrying out data preprocessing to obtain Rayleigh corrected reflectivityR rcData;
the construction land pixel identification module is used for masking the construction land on the shore to obtain a construction land pixel and a non-construction land pixel;
the mudflat pixel identification module is used for identifying a mudflat pixel and a non-mudflat pixel from the obtained non-construction land pixel;
and the array water body pixel identification module is used for identifying the array water body pixels of the non-tidal flat pixels based on a chromaticity method to obtain the array water body pixels.
The invention has the beneficial effects that:
(1) the invention uses the Rayleigh correction reflectivity of the satellite based on the spectral characteristics and the color characteristics of the polluted water body at the sea entrance and discharge portR rcData, a decision tree based on NDWI and a colorimetric method is established for extracting the polluted water body at the sea entrance and discharge port, the discharge conditions of the polluted water body at the sea entrance, such as the discharge range, the flow direction, the diffusion range and the like, can be accurately monitored, and a basis is provided for local government to make management policies.
(2) The invention provides a satellite remote sensing method for monitoring polluted water at a sea entrance and discharge port without inverting the water color parameters of a complex offshore area, which can accurately identify the discharged polluted water, avoid the problem of application errors caused by inaccurate inversion of the water color parameters, have wider applicability and are more suitable for practical application.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
As shown in figure 1, a satellite remote sensing method for monitoring a water body at an offshore sewage drainage port uses Rayleigh corrected reflectivity data of a satelliteR rcAnd constructing a decision tree-based recognition model of the polluted water body of the sea-entering sewage draining port according to the spectral difference and the color difference between the polluted water body discharged from the sewage draining port and other ground objects. The method comprises the following steps:
step 1, selecting a research area, such as Dongtai City department of Jiangsu provinceDividing coastal sea areas; after the area is selected, the satellite remote sensing data is downloaded and the data is preprocessed to obtain Rayleigh corrected reflectivityR rcData; such as MSI remote sensing data of a Sentinel-2 satellite, is obtained by the pretreatment of Acolite softwareR rcData of
Step 2, masking the construction land on the shore by using an ROI tool of ENVI to obtain a construction land pixel and a non-construction land pixel;
when the NDWI value is more than or equal to the threshold value of-0.0508, the pixel type is judged as the mudflat pixel:
NIR is the Rayleigh reflectance in the near infrared band and Red is the Rayleigh reflectance in the Red band.
Step 3, identifying an intertidal pixel based on the NDWI index, and identifying an intertidal pixel and a non-intertidal pixel from the obtained non-construction land pixel;
step 4, identifying the pixels of the non-tidal flat water body based on a chromaticity method to obtain the pixels of the drainage water body, which specifically comprises the following steps:
correcting reflectivity based on the RayleighR rcThe R, G, B wave band in the spectrum of the data is calculated according to the following formula (2) to obtain the chromaticity coordinate (x, y, z) Then using the chromaticity coordinates (x, y) Establishing a new chromaticity coordinate system (0.3333 ) with the isoenergetic white point E as the originx’, y'), and finally calculating the vector (5) according to the following formulax’, y') andxangle of axisαWhen is coming into contact withαWhen the pixel class is less than or equal to the threshold value 49.2308, the pixel class is judged as the pixels of the drainage water body:
the invention also provides a satellite remote sensing system for monitoring the water body at the sea drainage port, which comprises:
the data processing module is used for selecting a research area, downloading satellite remote sensing data after the area is selected, and carrying out data preprocessing to obtain Rayleigh corrected reflectivityR rcData;
the construction land pixel identification module is used for masking the construction land on the shore to obtain a construction land pixel and a non-construction land pixel;
the mudflat pixel identification module is used for identifying a mudflat pixel and a non-mudflat pixel from the obtained non-construction land pixel;
and the array water body pixel identification module is used for identifying the array water body pixels of the non-tidal flat pixels based on a chromaticity method to obtain the array water body pixels.
The invention has the beneficial effects that:
(1) the invention uses the Rayleigh correction reflectivity of the satellite based on the spectral characteristics and the color characteristics of the polluted water body at the sea entrance and discharge portR rcData, a decision tree based on NDWI and a colorimetric method is established for extracting the polluted water body at the sea entrance and discharge port, the discharge conditions of the polluted water body at the sea entrance, such as the discharge range, the flow direction, the diffusion range and the like, can be accurately monitored, and a basis is provided for local government to make management policies.
(2) The invention provides a satellite remote sensing method for monitoring polluted water at a sea entrance and discharge port without inverting the water color parameters of a complex offshore area, which can accurately identify the discharged polluted water, avoid the problem of application errors caused by inaccurate inversion of the water color parameters, have wider applicability and are more suitable for practical application.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (7)
1. A satellite remote sensing method for monitoring a water body entering a sea drainage port is characterized by comprising the following steps:
step 1, selecting a research area, downloading satellite remote sensing data and carrying out data preprocessing after the area is selected to obtain Rayleigh corrected reflectivityR rcData;
step 2, masking the construction land on the shore to obtain construction land pixels and non-construction land pixels;
step 3, identifying a tidal flat pixel and a non-tidal flat pixel from the obtained non-construction land pixel;
and 4, identifying the pixels of the non-tidal flat water body based on a chromaticity method to obtain the pixels of the drainage water body.
2. The satellite remote sensing method for monitoring the water body entering the sea drainage port according to claim 1, wherein the method comprises the following steps: preprocessing the satellite remote sensing data by Acolite software to obtain Rayleigh corrected reflectivityR rcAnd (4) data.
3. The satellite remote sensing method for monitoring the water body entering the sea drainage port according to claim 1, wherein the method comprises the following steps: masking a construction site on shore using the ROI tool of eniv.
4. The satellite remote sensing method for monitoring the water body entering the sea drainage port according to claim 1, wherein the method comprises the following steps: and identifying a tidal flat pixel and a non-tidal flat pixel from the obtained non-construction land pixel, and identifying by adopting the tidal flat pixel based on the NDWI index.
5. The satellite remote sensing method for monitoring the water body entering the sea drainage port according to claim 4, wherein the method comprises the following steps: the mudflat pixel identification based on the NDWI index is adopted, and when the NDWI value is more than or equal to the threshold value of-0.0508, the pixel category is judged to be the mudflat pixel:
NIR is the Rayleigh reflectance in the near infrared band and Red is the Rayleigh reflectance in the Red band.
6. The satellite remote sensing method for monitoring the water body entering the sea and discharging the sewage port according to claim 1, wherein the pixels of the water body at the mouth are identified based on a colorimetric method to obtain the pixels of the water body at the mouth, and specifically comprises the following steps:
correcting reflectivity based on the RayleighR rcThe R, G, B wave band in the spectrum of the data is calculated according to the following formula (2) to obtain the chromaticity coordinate (x, y, z) Then using the chromaticity coordinates (x, y) Establishing a new chromaticity coordinate system (0.3333 ) with the isoenergetic white point E as the originx’, y'), and finally calculating the vector (5) according to the following formulax’, y') andxangle of axisαWhen is coming into contact withαWhen the pixel class is less than or equal to the threshold value 49.2308, the pixel class is judged as the pixels of the drainage water body:
7. a satellite remote sensing system for monitoring a water body entering a sea drainage port, comprising:
the data processing module is used for selecting a research area, downloading satellite remote sensing data after the area is selected, and carrying out data preprocessing to obtain Rayleigh corrected reflectivityR rcData;
the construction land pixel identification module is used for masking the construction land on the shore to obtain a construction land pixel and a non-construction land pixel;
the mudflat pixel identification module is used for identifying a mudflat pixel and a non-mudflat pixel from the obtained non-construction land pixel;
and the array water body pixel identification module is used for identifying the array water body pixels of the non-tidal flat pixels based on a chromaticity method to obtain the array water body pixels.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113806352A (en) * | 2021-11-19 | 2021-12-17 | 浙江大学 | MODIS-based method, device and medium for acquiring complete inorganic nitrogen space-time distribution data |
| CN114781537A (en) * | 2022-05-07 | 2022-07-22 | 自然资源部第二海洋研究所 | High-resolution satellite image-based suspected pollution discharge identification method for sea entrance and drainage port |
| CN115984711A (en) * | 2022-12-30 | 2023-04-18 | 中国科学院空天信息创新研究院 | Non-cyanobacterial bloom monitoring method and system based on satellite remote sensing |
| CN116879237A (en) * | 2023-09-04 | 2023-10-13 | 自然资源部第二海洋研究所 | Atmospheric correction method for offshore turbid water body |
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| CN106855502A (en) * | 2015-12-09 | 2017-06-16 | 深圳先进技术研究院 | A kind of Lu Yuan enters the remote-sensing monitoring method and system of extra large sewage draining exit |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113806352A (en) * | 2021-11-19 | 2021-12-17 | 浙江大学 | MODIS-based method, device and medium for acquiring complete inorganic nitrogen space-time distribution data |
| CN114781537A (en) * | 2022-05-07 | 2022-07-22 | 自然资源部第二海洋研究所 | High-resolution satellite image-based suspected pollution discharge identification method for sea entrance and drainage port |
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| CN116879237A (en) * | 2023-09-04 | 2023-10-13 | 自然资源部第二海洋研究所 | Atmospheric correction method for offshore turbid water body |
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