Method and device for constructing regional scale atmospheric knowledge base based on latitude and longitude grid

Abstract

The present invention provides a method and device for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids, the method comprising obtaining initial atmospheric data and a grid image of a target area; resampling the data covering the target area in the initial atmospheric data by longitude and latitude grids of a target degree to generate a visualization image of atmospheric parameters corresponding to the target area; storing the visualization image of atmospheric parameters corresponding to the target area and the longitude and latitude data corresponding to the target area to construct an atmospheric knowledge base corresponding to the target area. The method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids of the present invention generates a visualization image of atmospheric parameters corresponding to the target area by resampling the data covering the target area in the initial atmospheric data by longitude and latitude grids of a target degree to construct an atmospheric knowledge base corresponding to the target area, and is applicable to atmospheric data corresponding to any satellite product, and has high universality.

Description

Technical Field

[0001] The present invention relates to the field of remote sensing information technology, and in particular to a method and device for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids. Background Art

[0002] Atmospheric parameters are used in the field of remote sensing imaging technology. In the related technologies, one main method for obtaining atmospheric parameters is to design a ground synchronous experiment using a ground object spectrometer, but the experimental cost of this method is high and it is difficult to obtain historical images; another method is to invert atmospheric parameters through the image itself, such as the dense vegetation method or the deep blue algorithm, but the implementation conditions required for this method are high. For domestic satellites that lack atmospheric absorption channels, it is difficult to use the image itself to invert high-precision atmospheric parameters, and it is not universal; another method is to carry a miniaturized dedicated atmospheric detector to synchronously obtain atmospheric measurement data for remote sensing data of other sensors on the same platform, but this type of atmospheric payload is not widely used and is not universal. Summary of the invention

[0003] The present invention provides a method and device for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids, so as to solve the defects of the atmospheric parameter acquisition process in the prior art that the atmospheric parameter acquisition process is difficult and lacks universality, and improve the universality of the atmospheric parameter acquisition process.

[0004] The present invention provides a method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids, comprising:

[0005] Obtain initial atmospheric data and raster images of the target area;

[0006] Resampling the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area;

[0007] The atmospheric parameter visualization image corresponding to the target area and the longitude and latitude data corresponding to the target area are stored to construct an atmospheric knowledge base corresponding to the target area.

[0008] According to a method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention, the data covering the target area in the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a visualization image of atmospheric parameters corresponding to the target area, including:

[0009] Based on the grid image of the target area, the target area is divided into a plurality of longitude and latitude grids, wherein the length and width of the longitude and latitude grids are both the target degrees;

[0010] Resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters;

[0011] The target first atmospheric parameter among the plurality of first atmospheric parameters is stored in a target longitude and latitude grid among the plurality of longitude and latitude grids to generate a target data set; the longitude and latitude corresponding to the target first atmospheric parameter is within the longitude and latitude range corresponding to the target longitude and latitude grid;

[0012] Based on the target data set, a visualization image of the atmospheric parameters corresponding to the target area is generated.

[0013] According to a method for constructing a regional scale atmospheric knowledge base based on a latitude and longitude grid provided by the present invention, the initial atmospheric data is resampled based on the target degree to generate a plurality of first atmospheric parameters, including:

[0014] Based on the initial atmospheric data, obtaining initial atmospheric parameters in the initial atmospheric data and initial resolution corresponding to the initial atmospheric parameters;

[0015] Based on the target degree and the initial resolution corresponding to the initial atmospheric parameters, the initial atmospheric parameters are resampled to generate a plurality of first atmospheric parameters.

[0016] According to a method for constructing a regional scale atmospheric knowledge base based on a latitude and longitude grid provided by the present invention, generating a visualization image of atmospheric parameters corresponding to the target area based on the target data set includes:

[0017] Eliminating invalid values ​​of the target first atmospheric parameter in the target data set to generate a target second atmospheric parameter;

[0018] taking an average value of the target second atmospheric parameter to generate a target third atmospheric parameter;

[0019] Based on the grid image of the target area, the third atmospheric parameter of the target is visualized to generate a visualization image of the atmospheric parameter corresponding to the target area.

[0020] According to a method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention, the initial atmospheric data includes atmospheric data of multiple types of products, and the data covering the target area in the initial atmospheric data is resampled to latitude and longitude grids of target degrees to generate a visualization image of atmospheric parameters corresponding to the target area, including:

[0021] Based on the categories of the products, weight values ​​corresponding to the atmospheric data of each type of product are set;

[0022] Based on the weight value, the data covering the target area in the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0023] According to a method for constructing a regional scale atmospheric knowledge base based on a latitude and longitude grid provided by the present invention, after constructing the atmospheric knowledge base corresponding to the target area, the method further includes:

[0024] Inputting the time to be queried and the longitude and latitude to be queried into the atmospheric knowledge base;

[0025] Obtain an atmospheric parameter visualization image output by the atmospheric knowledge base at the longitude and latitude to be queried in the target area at the time to be queried.

[0026] The present invention also provides a device for constructing a regional scale atmospheric knowledge base based on a latitude and longitude grid, comprising:

[0027] The first processing module is used to obtain initial atmospheric data and a raster image of a target area;

[0028] A second processing module is used to resample the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree, so as to generate a visualization image of the atmospheric parameters corresponding to the target area;

[0029] The third processing module is used to store the atmospheric parameter visualization image corresponding to the target area and the longitude and latitude data corresponding to the target area, and to construct an atmospheric knowledge base corresponding to the target area.

[0030] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for constructing a regional-scale atmospheric knowledge base based on latitude and longitude grids as described above is implemented.

[0031] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for constructing a regional-scale atmospheric knowledge base based on latitude and longitude grids as described in any one of the above is implemented.

[0032] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids.

[0033] The method and device for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by the present invention generate a visualization image of atmospheric parameters corresponding to the target area by resampling the longitude and latitude grids of the target degree for the data covering the target area in the initial atmospheric data, so as to construct an atmospheric knowledge base corresponding to the target area. The method and device are applicable to atmospheric data corresponding to any product and have high universality. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 This is one of the flow diagrams of the method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention;

[0036] Figure 2 This is the second flow chart of the method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention;

[0037] Figure 3 This is one of the principle schematic diagrams of the method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention;

[0038] Figure 4 This is the second flow principle schematic diagram of the method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids provided by the present invention;

[0039] Figure 5 This is the third flow principle schematic diagram of the method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention;

[0040] Figure 6 This is the fourth flow principle schematic diagram of the method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids provided by the present invention;

[0041] Figure 7 This is the fifth flow principle schematic diagram of the method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids provided by the present invention;

[0042] Figure 8 This is the sixth flow principle schematic diagram of the method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids provided by the present invention;

[0043] Fig. 9 It is a structural schematic diagram of a device for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids provided by the present invention;

[0044] Fig.10 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Combine the following Figures 1 to 8 The present invention describes a method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids.

[0047] like Figure 1 As shown, the method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids includes: step 110, step 120 and step 130.

[0048] Step 110, obtaining initial atmospheric data and a raster image of the target area;

[0049] In this step, the initial atmospheric data is atmospheric product data obtained through domestic satellite products, including but not limited to: one or more data collected by satellite products such as MOD04, MOD05, MYD04, MYD05 and Himawari-8.

[0050] The initial atmospheric data includes atmospheric parameters and location information corresponding to the atmospheric parameters.

[0051] Among them, atmospheric parameters include but are not limited to sol optical thickness, water vapor column content, cloud cover parameters, and gas absorption rate.

[0052] Taking MOD04 as an example, MOD04 is a standard atmospheric level 2 and 3 data product, which contains aerosol products, with a Lambert projection spatial resolution of 1 km and a geographic coordinate spatial resolution of 30 seconds. Daily data is a level 2 data product, and the ten-day and monthly data are synthesized into level 3 data products.

[0053] The MODIS land standard product data is organized in TILE type, that is, the earth is used as the reference system, and the SIN (ISIN, sinusoidal projection) earth projection system is used to divide the world into 10° longitude * 10° latitude (1200KM * 1200KM). The global land is divided into more than 600 grids (Tiles), and each Tile is assigned a horizontal number and a vertical number. The number in the upper left corner is (0, 0), and the number in the lower right corner is (35, 17). The length and width of each grid are 10°.

[0054] The target area is the area where the atmospheric knowledge base needs to be constructed. The target area can be any country, any province or any other area. For example, the target area can be any province or city in China.

[0055] Raster images are images generated by dividing the space corresponding to the target area into regular grids. Each grid is called a unit, and each unit is assigned a corresponding attribute value to represent the entity. Each unit corresponds to a pixel, and the position of each pixel is defined by its row and column number. The position of the entity represented is implicit in the row and column position of the raster. Each data in the data organization represents the non-geometric attribute of the object or phenomenon or a pointer to its attribute.

[0056] like Figure 3 The following is an example of a raster image of Province A, where the attribute value of the area outside the outline of Province A is 0, and the attribute value of the area inside the outline of Province A is 255.

[0057] In the actual implementation process, after obtaining the initial atmospheric data and the raster image of the target area, the initial atmospheric data and the raster image of the target area can be stored in a local or cloud database and retrieved when needed.

[0058] Step 120, resampling the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree, and generating a visualization image of the atmospheric parameters corresponding to the target area;

[0059] In this step, the target degrees are the longitude and latitude used for resampling.

[0060] It should be noted that the resolution corresponding to the target degree is higher than the resolution of 1 km.

[0061] The target degree can be user-defined, for example, the target degree can be set to 0.05°.

[0062] The atmospheric parameter visualization image is an image used to characterize the relevant conditions of the atmospheric parameters of the target area, including but not limited to: sol optical thickness map, water vapor column content map, cloud cover parameter map and gas absorption rate map.

[0063] In the actual implementation process, the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a data set including data corresponding to a plurality of latitude and longitude grids, wherein the data corresponding to each latitude and longitude grid includes at least one atmospheric parameter.

[0064] The generated dataset is superimposed with the raster image of the target area to obtain the atmospheric parameters corresponding to the longitude and latitude grid consistent with the grid included in the target area.

[0065] The atmospheric parameters corresponding to the longitude and latitude grid consistent with the grid included in the target area are converted into an image corresponding to the longitude and latitude numbers at the grid.

[0066] In this step, by selecting a 0.05° grid for resampling, factors such as data validity, technical feasibility, and data volume can be fully considered, which will help to establish the optimal database later.

[0067] The implementation of this step is described below through a specific embodiment.

[0068] like Figure 2 As shown, in some embodiments, step 120 may include:

[0069] Based on the grid image of the target area, the target area is divided into multiple longitude and latitude grids, and the length and width of the longitude and latitude grids are both target degrees;

[0070] resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters;

[0071] The target first atmospheric parameter among the plurality of first atmospheric parameters is stored in a target longitude and latitude grid among the plurality of longitude and latitude grids to generate a target data set; the longitude and latitude corresponding to the target first atmospheric parameter is within the range of the longitude and latitude corresponding to the target longitude and latitude grid;

[0072] Based on the target dataset, a visualization image of the atmospheric parameters corresponding to the target area is generated.

[0073] In this embodiment, the first atmospheric parameter is all atmospheric parameters in the initial atmospheric data that are located within the target area.

[0074] The resolution of the first atmospheric parameter is target degrees.

[0075] This embodiment is described by taking the target degree as 0.05° and the target area as Province A as an example.

[0076] like Figure 4 An example of a 0.05° equal longitude and latitude grid is shown below. Figure 5 A schematic diagram of a MOD04_3K aerosol image

[0077] In the actual implementation process, based on the 0.05° longitude and latitude grid, the raster image of Province A is divided into multiple longitude and latitude grids, where the length and width of each longitude and latitude grid are 0.05°, and the row and column numbers of each longitude and latitude grid are the longitude and latitude degrees.

[0078] In addition, the initial atmospheric data were resampled based on a 0.05° latitude and longitude grid, such as Figure 6As shown, the location information corresponding to the initial atmospheric data is further divided, and the initial atmospheric data is divided into corresponding longitude and latitude grids with a length and width of 0.05°.

[0079] It should be noted that each longitude and latitude grid should include at least one first atmospheric parameter.

[0080] Continue to refer Figure 2 In some embodiments, resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters may include:

[0081] Based on the initial atmospheric data, initial atmospheric parameters in the initial atmospheric data and initial resolution corresponding to the initial atmospheric parameters are obtained;

[0082] Based on the target degree and the initial resolution, the initial atmospheric parameters are resampled to generate a plurality of first atmospheric parameters.

[0083] In this embodiment, the initial atmospheric parameters are all atmospheric parameters included in the initial atmospheric data, including but not limited to: sol optical thickness data, water vapor column content data, cloud cover parameters, gas absorption rate data, etc.

[0084] Initial atmospheric parameters include atmospheric data for the entire area covered by the atmospheric product.

[0085] The initial resolution is the original resolution of the initial atmospheric parameters, which is also the resolution corresponding to the atmospheric products, for example, it can be 10 kilometers or 3 kilometers.

[0086] When the initial resolution is length information, the initial resolution can be converted into a resolution corresponding to the longitude and latitude format; and the initial atmospheric parameters are resampled based on the resolution corresponding to the longitude and latitude format.

[0087] The initial atmospheric parameters are resampled based on the target degrees, their initial resolution is converted into the target degrees, and the first atmospheric parameters of the area covered by the longitude and latitude grid corresponding to each target degree are obtained.

[0088] It should be noted that, for the same location, the same satellite collects an initial atmospheric parameter at different transit times, so that there is at least one initial atmospheric parameter corresponding to the same location.

[0089] At the same time, the same satellite can collect corresponding initial atmospheric parameters at multiple locations in a similar area.

[0090] Then, in the process of resampling the initial atmospheric parameters, each longitude and latitude grid should include at least one first atmospheric parameter.

[0091] When the latitude and longitude grid includes multiple first atmospheric parameters, the multiple first atmospheric parameters may be initial atmospheric parameters at the same location collected by the same satellite at different transit times; or may be initial atmospheric parameters at different locations collected by the same satellite at the same transit time; or may also include initial atmospheric parameters at the same location collected by the same satellite at different transit times and initial atmospheric parameters at different locations collected by the same satellite at the same transit time.

[0092] After obtaining one or more first atmospheric parameters corresponding to each longitude and latitude grid, the target first atmospheric parameters among the multiple first atmospheric parameters are stored in the target longitude and latitude grid among the multiple longitude and latitude grids, so as to generate a target data set.

[0093] The target longitude and latitude grid may be any one of a plurality of longitude and latitude grids.

[0094] The row and column numbers corresponding to the target longitude and latitude grid are used to represent the longitude and latitude of the target longitude and latitude grid.

[0095] The first atmospheric parameters whose corresponding longitude and latitude among all the acquired first atmospheric parameters are within the longitude and latitude range corresponding to the target longitude and latitude grid are determined as the target first atmospheric parameters corresponding to the target longitude and latitude grid.

[0096] It can be understood that the target first atmospheric parameter includes at least one first atmospheric parameter.

[0097] The target first atmospheric parameter is stored in the target longitude and latitude grid corresponding thereto to generate a target data set, wherein the target data set may include one or more arrays, each array including row and column numbers and the first atmospheric parameter, wherein the row and column numbers correspond to the longitude and latitude of the target longitude and latitude grid respectively.

[0098] For example, for each input MOD04_3K image (original aerosol image), read the longitude dataset, latitude dataset, and aerosol dataset (Image Optical Depth Land AndOcean);

[0099] The resolution of the MOD04_3K original image is 3 km, that is, the initial resolution of the initial atmospheric parameters is 3 km. The distances between the pixels of the MOD04_3K original image are equal, but the corresponding actual longitudes and latitudes are not equal. Figure 5 shown.

[0100] Then, Figure 5The original aerosol image shown in FIG. 1 is resampled to a 0.05° equal longitude and latitude grid, that is, the longitude and latitude of the pixel points in the original aerosol image are converted into the row and column numbers in the target longitude and latitude grid, and the initial atmospheric parameters satisfying the longitude and latitude are extracted to the corresponding equal longitude and latitude grid, that is, read into the corresponding array, as shown in FIG. Figure 6 shown.

[0101] It can be understood that the resolution of the target longitude and latitude grid is 0.05°, and each longitude and latitude grid includes at least one first atmospheric parameter, wherein the at least one first atmospheric parameter may come from adjacent pixels of the same scene image, or may come from the overlapping part of different aerosol images.

[0102] After obtaining the data sets corresponding to all the latitude and longitude grids of the target area, a visualization image of the atmospheric parameters corresponding to the target area can be generated based on all the data sets.

[0103] Continue to refer Figure 2 In some embodiments, generating a visualization image of atmospheric parameters corresponding to a target area based on a target data set may include:

[0104] Eliminate invalid values ​​of the target first atmospheric parameter in the target data set to generate the target second atmospheric parameter;

[0105] taking an average of the target second atmospheric parameter to generate a target third atmospheric parameter;

[0106] Based on the raster image of the target area, the third atmospheric parameter of the target is visualized to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0107] In this embodiment, the invalid value may be determined automatically based on the system, such as a value of 999 displayed as an output.

[0108] The target second atmospheric parameter is the target first atmospheric parameter after invalid values ​​are eliminated.

[0109] For the first atmospheric parameters in any latitude and longitude grid, invalid values ​​are eliminated, and the first atmospheric parameters without invalid values ​​are obtained, which are the second atmospheric parameters in the latitude and longitude grid.

[0110] like Figure 7 As shown, when the target longitude and latitude grid includes multiple target second atmospheric parameters, the target third atmospheric parameter can be generated by averaging the target second atmospheric parameters in the longitude and latitude grids of the same longitude and latitude.

[0111] After obtaining the third atmospheric parameters corresponding to all the longitude and latitude grids of the target area, the third atmospheric parameters corresponding to each longitude and latitude grid are respectively visualized to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0112] like Figure 8 The figure shows the aerosol optical depth map generated by the multi-view MOD04_3K product for Province A on a certain day. In the actual implementation process, after reading all the MOD04 images covering Province A on a certain day, the obtained initial atmospheric data (such as aerosol array) is calculated with the raster image array of Province A to obtain the aerosol thickness value of Province A on that day.

[0113] According to the method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by an embodiment of the present invention, by performing processing such as eliminating invalid values ​​and averaging valid values ​​of multiple first atmospheric parameters in the target longitude and latitude grids, it is possible to achieve fusion on the spatial scale and avoid the influence of accidental errors caused by drastic changes in atmospheric conditions over time and space and errors caused by large randomness in the spatiotemporal matching of atmospheric parameter information on the final result, thereby significantly improving the accuracy and precision of the atmospheric parameters finally obtained.

[0114] In some embodiments, the initial atmospheric data includes atmospheric data of multiple types of products, and step 120 may include:

[0115] Based on the product category, set the weight value corresponding to the atmospheric data of each product;

[0116] Based on the weight value, the data covering the target area in the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0117] In this step, the various products include but are not limited to: MOD04, MOD05, MYD04, MYD05 and Himawari-8.

[0118] The atmospheric data collected by different types of products may correspond to different satellite accuracies.

[0119] In the actual implementation process, different atmospheric products can be assigned different weights based on the accuracy of different atmospheric satellites and the validity of ground-measured data. The atmospheric data of each product can be weighted averaged based on the weight values, and the atmospheric data after weighted average can be resampled to the longitude and latitude grids of the target degrees to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0120] In this embodiment, on the basis of MOD04 and MOD05 data, MYD04, MYD05, Himawari-8 and ground measured data are gradually integrated, and the accuracy of different satellites for the atmosphere and the validity of ground measured data are considered, different atmospheric products are given different weights, and weighted averaging is performed, which can gradually improve the accuracy of the atmospheric knowledge base in the process of iterative optimization.

[0121] According to the method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by an embodiment of the present invention, high-precision atmospheric parameter products are obtained by spatiotemporally fusing multi-source data, processing two atmospheric products obtained by observing the morning star and the afternoon star on the MODIS detector and the Himawari-8 atmospheric product, and designing ground experiments to obtain measured atmospheric parameters, so that the atmospheric parameters of different time periods every day can be fused and averaged, thereby achieving fusion on a spatial scale; in addition, through the spatiotemporal fusion of multi-source data, accidental errors caused by drastic changes in atmospheric conditions over time and space are avoided, and the determination of large randomness in the spatiotemporal matching of atmospheric parameter information is also avoided. The atmospheric knowledge base finally obtained can not only meet business needs, but also provide guarantees in terms of accuracy.

[0122] Step 130: store the atmospheric parameter visualization image corresponding to the target area and the latitude and longitude data corresponding to the target area, and construct an atmospheric knowledge base corresponding to the target area.

[0123] In this step, an association relationship is established between the atmospheric parameter visualization image corresponding to the target longitude and latitude grid and the longitude and latitude (row and column numbers) corresponding to the target longitude and latitude grid, and the atmospheric parameters corresponding to the target longitude and latitude grid, the longitude and latitude (row and column numbers) corresponding to the target longitude and latitude grid, and the association relationship between the two are stored, thereby constructing a database that stores the longitude and latitude corresponding to all longitude and latitude grids covered by the target area, and the atmospheric parameter visualization image corresponding to each longitude and latitude grid, that is, the atmospheric knowledge base corresponding to the target area.

[0124] In some embodiments, an association relationship can also be established between an atmospheric parameter visualization image and its corresponding atmospheric parameter collection time, and the collection time can be stored, thereby constructing an atmospheric knowledge base that stores the longitude and latitude corresponding to all longitude and latitude grids covered by the target area, one or more atmospheric parameter visualization images corresponding to each longitude and latitude grid, and the collection time of the initial atmospheric parameters corresponding to each atmospheric parameter visualization image.

[0125] For example, after reading all MOD04 images covering the day, the obtained aerosol array is calculated with the target area raster image array, such as the China area raster image array, and the aerosol thickness value of the China area on that day can be obtained.

[0126] During the research and development process, the inventors discovered that related technologies, such as the dense vegetation method or the deep blue algorithm, which use images themselves to invert atmospheric parameters to obtain atmospheric parameters, are affected by the problem that domestic satellites lack atmospheric absorption channels, making it difficult to use the image itself to invert high-precision atmospheric parameters. This method is not suitable for domestic satellites.

[0127] In the present invention, based on long-term series of domestic atmospheric products such as MODIS and Himawari-8 and combined with ground-measured data, the spatial resampling technology can be effectively combined with domestic satellites to obtain the atmospheric parameters (such as aerosol optical thickness and water vapor content, etc.) of each location within the target area (especially the domestic area) every day, thereby establishing a national-scale atmospheric knowledge base, which is particularly suitable for domestic satellites.

[0128] According to the method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by an embodiment of the present invention, a visualization image of atmospheric parameters corresponding to the target area is generated by resampling the data covering the target area in the initial atmospheric data at the longitude and latitude grid of the target degree, so as to construct an atmospheric knowledge base corresponding to the target area. The method is applicable to atmospheric data corresponding to any satellite product and has high universality.

[0129] In some embodiments, after step 130, the method may further include:

[0130] Input the query time and the query longitude and latitude into the atmospheric knowledge base;

[0131] Obtain a visualization image of the atmospheric parameters at the longitude and latitude to be queried in the target area at the queried time output by the atmospheric knowledge base.

[0132] In this embodiment, an application program interface for calling data in the atmospheric knowledge base may be connected to the atmospheric knowledge base to implement a data query function.

[0133] For example, the data query function can be realized by building an atmospheric parameter query system.

[0134] The atmospheric parameter query system comprises: a client and a server, wherein the client and the server are electrically connected via an application program interface to achieve data interaction; the server comprises a three-layer design mode of a controller-service layer-repository, wherein the repository comprises an atmospheric knowledge base.

[0135] In the actual execution process, the client calls the atmospheric knowledge base application program interface through the socket communication technology and sends different parameter query requests to the server in a parallel request mode;

[0136] Among them, different parameter query requests may include the time to be queried and the longitude and latitude to be queried.

[0137] The server adopts the controller-service-repository three-layer design mode. The controller receives the query request sent by the client, generates a control instruction for data query in response to the query request, and sends the control instruction to the service layer to interact with the service layer.

[0138] The service layer receives the control instruction and sends a query signal to the storage repository in response to the control instruction;

[0139] In response to the query signal, the repository queries the query result corresponding to the query request through the query function, and returns the query result to the service layer.

[0140] The query result may include a visualization image of the atmospheric parameters at the longitude and latitude to be queried in the target area at the time to be queried.

[0141] For example, Redis can be combined with the LRU algorithm to accelerate queries.

[0142] After receiving the query results, the service layer sends the query results to the controller; and the controller sends the query results to the client.

[0143] According to the method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by an embodiment of the present invention, by constructing an atmospheric knowledge base corresponding to the target area and constructing an atmospheric parameter query system, the corresponding atmospheric parameter visualization image can be obtained online by inputting the query time and the longitude and latitude to be queried, and high-precision atmospheric parameters of a single phase or continuous multi-phases can be obtained, thereby realizing fast, efficient and automated acquisition of high-precision atmospheric parameters, and the operation is simple and convenient, which significantly improves the efficiency of atmospheric parameter acquisition.

[0144] The following is a description of the regional scale atmospheric knowledge base construction device based on the latitude and longitude grid provided by the present invention. The regional scale atmospheric knowledge base construction device based on the latitude and longitude grid described below and the regional scale atmospheric knowledge base construction method based on the latitude and longitude grid described above can be referenced to each other.

[0145] like Fig. 9 As shown, the regional scale atmospheric knowledge base construction device based on longitude and latitude grids includes: a first processing module 910, a second processing module 920 and a third processing module 930.

[0146] The first processing module 910 is used to obtain initial atmospheric data and a raster image of a target area;

[0147] The second processing module 920 is used to resample the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree, and generate a visualization image of the atmospheric parameters corresponding to the target area;

[0148] The third processing module 930 is used to store the atmospheric parameter visualization image corresponding to the target area and the latitude and longitude data corresponding to the target area, and to construct an atmospheric knowledge base corresponding to the target area.

[0149] According to the device for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by an embodiment of the present invention, a visualization image of atmospheric parameters corresponding to the target area is generated by resampling the data covering the target area in the initial atmospheric data at the longitude and latitude grid of the target degree, so as to construct an atmospheric knowledge base corresponding to the target area. The device is applicable to atmospheric data corresponding to any product and has high universality.

[0150] In some embodiments, the second processing module 920 may also be used to:

[0151] Based on the grid image of the target area, the target area is divided into multiple longitude and latitude grids, and the length and width of the longitude and latitude grids are both target degrees;

[0152] resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters;

[0153] The target first atmospheric parameter among the plurality of first atmospheric parameters is stored in a target longitude and latitude grid among the plurality of longitude and latitude grids to generate a target data set; the longitude and latitude corresponding to the target first atmospheric parameter is within the range of the longitude and latitude corresponding to the target longitude and latitude grid;

[0154] Based on the target dataset, a visualization image of the atmospheric parameters corresponding to the target area is generated.

[0155] In some embodiments, the second processing module 920 may also be used to:

[0156] Based on the initial atmospheric data, initial atmospheric parameters in the initial atmospheric data and initial resolution corresponding to the initial atmospheric parameters are obtained;

[0157] Based on the target degree and the initial resolution corresponding to the initial atmospheric parameters, the initial atmospheric parameters are resampled to generate a plurality of first atmospheric parameters.

[0158] In some embodiments, the second processing module 920 may also be used to:

[0159] Eliminate invalid values ​​of the target first atmospheric parameter in the target data set to generate the target second atmospheric parameter;

[0160] taking an average of the target second atmospheric parameter to generate a target third atmospheric parameter;

[0161] Based on the raster image of the target area, the third atmospheric parameter of the target is visualized to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0162] In some embodiments, the initial atmospheric data includes atmospheric data of multiple types of products. The second processing module 920 may also be used to:

[0163] Based on the product category, set the weight value corresponding to the atmospheric data of each product;

[0164] Based on the weight value, the data covering the target area in the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area.

[0165] In some embodiments, the device may further include a fourth processing module,

[0166] After building the atmospheric knowledge base corresponding to the target area, the time to be queried and the longitude and latitude to be queried are input into the atmospheric knowledge base;

[0167] Obtain a visualization image of the atmospheric parameters at the longitude and latitude to be queried in the target area at the queried time output by the atmospheric knowledge base.

[0168] Fig.10 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.10 As shown, the electronic device may include: a processor 1010, a communication interface 1020, a memory 1030 and a communication bus 1040, wherein the processor 1010, the communication interface 1020 and the memory 1030 communicate with each other through the communication bus 1040. The processor 1010 may call the logic instructions in the memory 1030 to execute a method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids, the method comprising: obtaining initial atmospheric data and a grid image of a target area; resampling the data covering the target area in the initial atmospheric data with longitude and latitude grids of target degrees to generate a visualization image of atmospheric parameters corresponding to the target area; storing the visualization image of atmospheric parameters corresponding to the target area and the longitude and latitude data corresponding to the target area to construct an atmospheric knowledge base corresponding to the target area.

[0169] In addition, the logic instructions in the above-mentioned memory 1030 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0170] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids provided by the above-mentioned methods, and the method includes: obtaining initial atmospheric data and a raster image of a target area; resampling the data covering the target area in the initial atmospheric data to the longitude and latitude grids of the target degree to generate a visualization image of atmospheric parameters corresponding to the target area; storing the visualization image of atmospheric parameters corresponding to the target area, and the longitude and latitude data corresponding to the target area, and constructing an atmospheric knowledge base corresponding to the target area.

[0171] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the above-mentioned method for constructing a regional-scale atmospheric knowledge base based on longitude and latitude grids, the method comprising: obtaining initial atmospheric data and a raster image of a target area; resampling the data covering the target area in the initial atmospheric data to the longitude and latitude grids of the target degree to generate a visualization image of atmospheric parameters corresponding to the target area; storing the visualization image of atmospheric parameters corresponding to the target area, and the longitude and latitude data corresponding to the target area, to construct an atmospheric knowledge base corresponding to the target area.

[0172] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0173] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a regional scale atmospheric knowledge base based on longitude and latitude grids, characterized in that: include: Obtain initial atmospheric data and raster images of the target area; Resampling the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area; Storing the atmospheric parameter visualization image corresponding to the target area and the latitude and longitude data corresponding to the target area, and constructing an atmospheric knowledge base corresponding to the target area; The step of resampling the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree to generate a visualization image of atmospheric parameters corresponding to the target area includes: Based on the grid image of the target area, the target area is divided into a plurality of longitude and latitude grids, wherein the length and width of the longitude and latitude grids are both the target degrees; Resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters; The target first atmospheric parameter among the plurality of first atmospheric parameters is stored in a target longitude and latitude grid among the plurality of longitude and latitude grids to generate a target data set; the longitude and latitude corresponding to the target first atmospheric parameter is within the longitude and latitude range corresponding to the target longitude and latitude grid; Based on the target data set, generating a visualization image of the atmospheric parameters corresponding to the target area; The resampling of the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters includes: Based on the initial atmospheric data, obtaining initial atmospheric parameters in the initial atmospheric data and initial resolution corresponding to the initial atmospheric parameters; Based on the target degree and the initial resolution corresponding to the initial atmospheric parameter, resampling the initial atmospheric parameter to generate a plurality of first atmospheric parameters; The step of generating a visualization image of atmospheric parameters corresponding to the target area based on the target data set includes: Eliminating invalid values ​​of the target first atmospheric parameter in the target data set to generate a target second atmospheric parameter; taking an average value of the target second atmospheric parameter to generate a target third atmospheric parameter; Based on the grid image of the target area, the third atmospheric parameter of the target is visualized to generate a visualization image of the atmospheric parameter corresponding to the target area.

2. The method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids according to claim 1, characterized in that: The initial atmospheric data includes atmospheric data of multiple types of products, and the data covering the target area in the initial atmospheric data is subjected to latitude and longitude grid resampling of target degrees to generate a visualization image of atmospheric parameters corresponding to the target area, including: Based on the categories of the products, weight values ​​corresponding to the atmospheric data of each type of product are set; Based on the weight value, the data covering the target area in the initial atmospheric data is resampled to the latitude and longitude grids of the target degree to generate a visualization image of the atmospheric parameters corresponding to the target area.

3. The method for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids according to claim 1, characterized in that: After constructing the atmospheric knowledge base corresponding to the target area, the method further includes: Inputting the time to be queried and the longitude and latitude to be queried into the atmospheric knowledge base; Obtain an atmospheric parameter visualization image output by the atmospheric knowledge base at the longitude and latitude to be queried in the target area at the time to be queried.

4. A device for constructing a regional scale atmospheric knowledge base based on latitude and longitude grids, characterized in that: include: The first processing module is used to obtain initial atmospheric data and a raster image of a target area; A second processing module is used to resample the data covering the target area in the initial atmospheric data to the latitude and longitude grids of the target degree, so as to generate a visualization image of the atmospheric parameters corresponding to the target area; The third processing module is used to store the atmospheric parameter visualization image corresponding to the target area and the latitude and longitude data corresponding to the target area, and to construct an atmospheric knowledge base corresponding to the target area; The second processing module is specifically used for: Based on the grid image of the target area, the target area is divided into a plurality of longitude and latitude grids, wherein the length and width of the longitude and latitude grids are both the target degrees; Resampling the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters; storing a target first atmospheric parameter among the plurality of first atmospheric parameters into a target longitude and latitude grid among the plurality of longitude and latitude grids to generate a target data set; The longitude and latitude corresponding to the target first atmospheric parameter are within the longitude and latitude range corresponding to the target longitude and latitude grid; Based on the target data set, generating a visualization image of the atmospheric parameters corresponding to the target area; The resampling of the initial atmospheric data based on the target degree to generate a plurality of first atmospheric parameters includes: Based on the initial atmospheric data, obtaining initial atmospheric parameters in the initial atmospheric data and initial resolution corresponding to the initial atmospheric parameters; Based on the target degree and the initial resolution corresponding to the initial atmospheric parameter, resampling the initial atmospheric parameter to generate a plurality of first atmospheric parameters; The step of generating a visualization image of atmospheric parameters corresponding to the target area based on the target data set includes: Eliminating invalid values ​​of the target first atmospheric parameter in the target data set to generate a target second atmospheric parameter; taking an average value of the target second atmospheric parameter to generate a target third atmospheric parameter; Based on the grid image of the target area, the third atmospheric parameter of the target is visualized to generate a visualization image of the atmospheric parameter corresponding to the target area.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for constructing a regional-scale atmospheric knowledge base based on latitude and longitude grids as described in any one of claims 1 to 3 is implemented.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for constructing a regional-scale atmospheric knowledge base based on latitude and longitude grids as claimed in any one of claims 1 to 3 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for constructing a regional-scale atmospheric knowledge base based on latitude and longitude grids as claimed in any one of claims 1 to 3 is implemented.

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