JP2002156466A - System and method for calculation of total cloud amount - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problem that the time required for calculating a total cloud amount about observation data becomes enormous because the amount of data capable of being acquired on the ground from an earth observation satellite is increased in recent years and that it is actually impossible to evaluate all image data acquired by each observation apparatus so as to calculate the total cloud amount. SOLUTION: In the system which is provided, a plurality of geostationary meteorological satellite image data which are opened to the public on the Internet are automatically acquired, an existing cloud discrimination algorithm which is suitable for each earth observation sensor is used, whether each point inside the data is a cloud or not is discriminated, a decided region called a grid which is not influenced by the ground resolution of a meteorological satellite is set, the ratio of the cloud occupied in the region is found as cloud- occupation-degree data so as to be converted into a unified format as a database, a plurality of corresponding cloud-occupation-degree data are extracted from information in which the range of the data acquired by the earth observation sensor is converted into a longitude and a latitude, and the total cloud amount can be automatically calculated.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention aims at making effective use of terrestrial observation data obtained by an earth observation satellite or the like, that is, so-called remote sensing data, and is a system capable of storing, preserving and managing remote sensing data and providing it to a user. More particularly, the present invention relates to a cloud amount calculation system capable of uniformly handling image data from a plurality of weather satellites.

[0002]

2. Description of the Related Art FIG. 11 is a block diagram of a conventional cloud amount calculating apparatus in which a human (operator) determines a cloud amount sequentially by viewing a satellite image displayed on a screen. In the figure, the conventional cloud amount calculation device includes a satellite image data storage device 61, a data temporary storage device 62, an image display device 63, an evaluation result input device 64, and a satellite image data catalog storage device 65. .

[0003] Next, the procedure of calculating the cloud amount using a conventional cloud amount calculation device will be described. The satellite image data already transmitted from the satellite and stored in the satellite image data storage device 61 is copied to the data temporary storage device 62, and the image data is displayed on the image display device 63. Here, the worker looks at the satellite image displayed on the image display device 63, visually judges the coverage of the cloud contained therein, and gives several levels of evaluation to the coverage. The evaluation result is output through the evaluation result input device 64 together with additional information such as the acquisition date, acquisition position, and acquired image state of the acquired satellite image,
The data is stored in the satellite image data catalog storage device 65.

[0004] In this method, since the evaluation depends on human vision, there is a problem in the accuracy as well as the occurrence of variation. Further, it is enormous to evaluate the amount of cloud for all the acquired satellite images. It takes time.

FIG. 12 is a block diagram of a cloud amount calculating device for automatically calculating the cloud amount corresponding to a specific satellite-mounted sensor. In the figure, a specific satellite-equipped sensor-based cloud amount calculation device includes a magneto-optical disk medium 66 storing observation image data, a magnetic disk device 67, a cloud amount evaluation unit 68, and an evaluation result storage disk 69.

Next, a description will be given of a procedure for calculating the cloud amount using the specific cloud sensor calculating device for a satellite. The observation image data is read from the magneto-optical disk medium 66 to the magnetic disk device 67, and the cloud amount evaluation unit 68 specifies the image data stored in the magnetic disk device 67 to perform the cloud amount evaluation process. The cloud amount evaluation process determines whether or not the image is a cloud based on the pixel value of a pixel that is the minimum unit constituting the image data, and determines the cloud amount value of the entire image from the evaluation result of each pixel in several stages (for example, 5 (3 in the stage, etc.). The calculated evaluation result is stored in the evaluation result storage disk 69.

In this method, the boundary value for determining whether or not a cloud is a cloud based on the pixel value of a pixel differs depending on the type of a sensor mounted on a satellite. Therefore, a different device must be prepared for handling different sensors. Must. Also, even if the same sensor has a different image size, it cannot cope with it, and there is no versatility.

[0008]

In the above-mentioned method, since the source data is the observation image data even if the target time or area is almost the same or close,
For the calculation of cloud cover, it was necessary to perform each data for each observation data by human visual judgment or calculation by a computer. In addition, observation times and regions of images of different satellites may not always be the same, and thus evaluation has not been performed in association with the acquired image data.

In recent years, earth observation satellites have been able to obtain observation data for 24 hours continuously, and the amount of data that can be acquired on the ground has been dramatically increased due to the improvement in transmission performance from the satellite to the ground. Further, since it is possible to mount a plurality of observation devices on one observation satellite, the amount of data tends to increase for each type.

For this reason, the time required for calculating the cloud amount for each observation data becomes enormous, and it is virtually impossible to calculate the cloud amount by evaluating all the image data acquired for each observation device as in the past. It becomes impossible, and it is in a state where it can only respond by extracting some data.

The present invention has been made to solve such a problem, and converts the data into a unified format regardless of the type of the earth observation satellite and its mounted sensor to automatically calculate the amount of cloud and to calculate the global amount. It enables cloud coverage evaluation on a scale and greatly reduces the burden on workers.

[0012]

According to the present invention, there is provided a cloud amount calculation system comprising: a weather image data obtaining device for obtaining weather image data from a plurality of weather satellites; A cloud occupancy processing device for processing the cloud occupancy data in the grid, and a cloud occupancy storage device for storing the cloud occupancy data together with position data and time data.

[0013] Further, there may be provided a cloud occupancy data management device for storing the data while avoiding duplication of the cloud occupancy data and managing the stored data.

Further, the apparatus may have a cloud amount calculating device for calculating and outputting the cloud amount at the requested place and time using the stored cloud occupancy data.

A meteorological image data acquisition unit which accesses the site to acquire meteorological image data observed by a plurality of operating geostationary meteorological satellites distributed over the Internet, It may be constituted by a weather image data acquisition environment setting unit capable of setting a timing and an acquisition source of image data, and an acquired data primary storage unit that temporarily stores acquired weather image data.

Further, the cloud occupancy processing device takes in the weather image data from the acquired data primary storage unit and temporarily stores the weather image data, and a plurality of different weather image data storage units stored in the weather image data capture unit. A plurality of image cloud discrimination processing units for each format that discriminate clouds with a cloud discrimination algorithm suitable for the weather image data in the format, and discrimination results of each point output from the plurality of image cloud discrimination processing units are unified. A plurality of image grid allocating units corresponding to the plurality of image cloud discriminating units to be allocated to grids of a size, and a cloud occupancy for each of all the grids allocated by the plurality of image grid allocating units, in a plurality of stages. A plurality of images corresponding to the plurality of image cloud discrimination processing units and the plurality of image grid allocating units to be determined And occupancy determination unit, the may be configured by a cloud occupancy data transmission unit for transmitting a cloud occupancy data outputted from each image cloud occupancy determination unit.

The cloud occupancy data management device may include a cloud occupancy data reception unit that receives the cloud occupancy data transmitted from the cloud occupancy data transmission unit; In the case of overlapping, the cloud occupancy data editing unit that deletes the overlapped portion and aggregates it into one location, one time, and one data, and the cloud occupancy data management unit that responds to an external output request You may.

The cloud occupancy data storage unit hierarchizes the cloud occupancy data together with the latitude / longitude data and time data, and stores the data as a database. And a cloud occupancy data transmission unit that outputs the cloud occupancy data specified by the unit to the outside.

Further, the cloud amount calculation device receives a cloud amount calculation condition receiving unit that receives input of latitude and longitude information and time information as conditions for determining a range in which the cloud amount is calculated; A target grid information calculation unit for extracting a target grid, a cloud occupancy data acquisition unit for requesting the cloud occupancy data management device to acquire cloud occupancy data of the target grid, and acquiring the cloud occupancy data. A cloud amount calculation output unit that calculates a cloud amount (cloud coverage) in a designated area using the obtained cloud occupancy data, and outputs a calculation result in predetermined stages. It may be.

The method for calculating the amount of cloud according to the present invention includes the steps of: acquiring timing of weather image data observed by a plurality of operating geostationary satellites distributed over the Internet;
A step of designating the weather image data in accordance with the meteorological image data distribution organization, a step of acquiring the weather image data by accessing an Internet site, and a method of discriminating a plurality of acquired weather image data of different formats by a cloud discrimination algorithm suitable for each format. A step of discriminating the clouds, a step of assigning the discrimination results to a grid of a uniform size, a step of judging the occupancy of each of the clouds in a plurality of stages for all the assigned grids, and In the case of overlapping in time, one location, one time, the step of editing to one data by deleting the overlapping part, and layering the edited cloud occupancy data together with latitude and longitude data and time data, Steps to save as database and conditions to determine range for calculating cloud cover Receiving the input of the latitude / longitude information and the time information as described above, extracting the target grid from the input latitude / longitude information and the time information, and specifying using the extracted cloud occupancy data of the target grid. Calculating the amount of cloud (cloud coverage) in the set area, and outputting a calculation result in predetermined stages.

[0021]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing an overall configuration of a cloud amount calculation system according to an embodiment of the present invention. In the figure, a cloud amount calculation system 1 according to an embodiment of the present invention includes an automatic weather image data obtaining apparatus 10.
, Cloud determination processing device 20, cloud occupancy data management device 3
0, the cloud occupancy data storage device 40, and the cloud amount calculation device 5
0.

In the figure, 2 is GOES, GMS, ME
It is a meteorological data distribution agency that discloses image data of weather observation satellites such as TEOSAT through the Internet 3. The satellite image data is updated regularly by the distributor.

FIG. 2 is a block diagram showing the internal configuration of the weather image data obtaining apparatus 10. In the figure, a weather image data acquisition device 10 includes a weather image data acquisition environment setting unit 11, a weather image acquisition unit 12, and an acquired image temporary storage unit 1.
And 3.

Next, a procedure for obtaining weather observation satellite image data from the weather image data obtaining apparatus 10 will be described. FIG.
As shown in the figure, the worker 4 sends the weather image acquisition unit 12 to the weather image data acquisition environment setting unit 11
The address of the interface for acquiring the image data of each weather observation satellite described above and the acquisition timing are separately set for each of the meteorological data distribution organizations 2 that distribute the image data.

The weather image acquisition unit 12 transmits the Internet 3 at a set timing to the weather data distribution organization 2 that distributes image data based on the set information.
To obtain the image data of each weather observation satellite at that time. The acquired image data is moved to the acquired image temporary storage unit 13 and temporarily stored.

FIG. 3 is a block diagram showing the internal configuration of the cloud judgment processing device 20. In the figure, the cloud judgment processing device 2
0 is an image data acquisition unit 21, a GOES image cloud discrimination processing unit 22a, a GMS image cloud discrimination processing unit 22b,
TEOSAT image cloud discrimination processing unit 22c, GOES image grid allocation unit 23a, and GMS image grid allocation unit 2
3b and METEOSAT image grid allocating unit 23c
, A GOES image cloud occupancy determination unit 24a, a GMS image cloud occupancy determination unit 24b, a METEOSAT image cloud occupancy determination unit 24c, and a cloud occupancy data transmission unit 25. In FIG. 3, GOES, GM
Although the three types of image data of S and METEOSAT are shown as being processed, the present invention is not limited to this, and other types of satellite image data may be processed.
It is not necessary to be particular about the combination of species.

FIG. 4 is a diagram for explaining the correspondence between image cloud discrimination result data and grid information.

Next, a procedure for creating cloud occupancy data from image data will be described with reference to FIGS. The image data acquisition unit 21 acquires image data from the acquired image temporary storage unit 13, determines which weather observation satellite image data is the image data, and if the image data is a GOES image, the image data is GO.
To the ES image cloud discrimination processing unit 22a, to the GMS image cloud discrimination processing unit 22b for a GMS image, and to the METEOSAT image cloud discrimination processing unit 22c for a METEOSAT image
Output to

The GOES image cloud discrimination processing unit 22a performs a process of discriminating whether or not each point of the input GOES image data is a cloud using a GOES cloud discrimination algorithm. Through this discrimination processing, GOES image cloud discrimination result data to which result flags (for example, 1 for a cloud, 0 for a non-cloud) are added for all points is generated and output to the GOES image grid allocating unit 23a.

Similarly, in the case of the GMS image and the case of the METEOSAT image, the discrimination processing is performed using the respective cloud discrimination algorithms, and the respective image cloud discrimination result data with the result flags added to all points are created. G
In the case of an MS image, the GMS image grid allocating unit 23b
In the case of a METEOSAT image, the image is output to the METEOSAT image grid allocating unit 23c.

In the GOES image grid allocating section 23a,
GOE input from the GOES image cloud discrimination processing unit 22a
Each point of the S image cloud discrimination result data is associated with which part of the grid information held in advance in the GOES image grid allocating unit 23a. The grid referred to here is a section of the entire earth separated by a fixed distance, and each element thereof is called a grid. That is, the grid has a certain size and position information for specifying the position, and does not depend on the type of image data of the weather satellite to be acquired.

Referring to FIG. 4, how each point of the GOES image cloud discrimination result data is associated with the grid will be described. In the figure, grid 26a is grid information 2
6, the latitude and longitude of the four corner points (latitude A,
Longitude B), (latitude A, longitude D), (latitude C, longitude B),
(Latitude C, longitude D) as position information.

Each point of the GOES image cloud discrimination result data 27 also has latitude / longitude information as position information, and is assigned in association with grid position information.
Here, the cloud discrimination result data correspondence group 2 is displayed on the grid 26a.
8 is assigned. In this way, the cloud discrimination result data correspondence group is assigned to all grids. Although the image cloud discrimination result data 27 includes unnecessary data outside the outline 29 of the earth in the data, it is necessary to hold useless data because it is associated with a grid prepared in advance in the system. Disappears.

The association with the GOES image cloud discrimination result correspondence group obtained for all grids is added to the GOES image cloud discrimination result data file and output to the GOES image cloud occupancy determination unit 24a.

Similarly, in the case of the GMS image and the case of the METEOSAT image, the GMS image grid allocating unit 23b
The image cloud discrimination result data correspondence group is associated with the grid information in the METEOSAT image grid allocating unit 23c, and added to the image cloud discrimination result data file.
In the case of an MS image, the GMS image cloud occupancy determination unit 24b
In the case of a METEOSAT image, it is output to the METEOSAT image cloud occupancy determination unit 24c.

In the GOES image cloud occupancy determination unit 24a,
The GOES image cloud occupancy is calculated from the GOES image cloud discrimination result data file output from the GOES image grid allocating unit 23a.

Next, a method of calculating the value of the GOES image cloud occupancy will be described. GOE corresponding to one grid
The group corresponding to the S image cloud discrimination result data here includes six image cloud discrimination result data, and classifies the cloud occupancy into seven stages from 0 to 6, and the larger the numerical value is, the larger the ratio of being covered by the cloud is And That is, when all of the six GOES image cloud discrimination result data are determined to be not clouds, the cloud occupancy is set to 0, and three points in the six GOES image cloud discrimination result data are discriminated as clouds. Cloud occupancy is 3
Becomes

In this way, GO for all grids
The ES image cloud occupancy is calculated, and the cloud occupancy data transmission unit 25 is used.
Output to

Similarly, in the case of the GMS image and the case of the METEOSAT image, each image cloud occupancy is calculated from each image cloud discrimination result data file output from each image grid allocating unit, and the cloud occupancy is calculated. Output to the data transmission unit 25.

The cloud occupancy data transmission unit 25 sequentially converts the input image cloud occupancy data into a cloud occupancy data storage management device 3 based on a predetermined transmission schedule.
Send to 0.

FIG. 5 is a block diagram showing the internal configuration of the cloud occupancy data management device 30. In the figure, a cloud occupancy data management device 30 includes a cloud occupancy data reception unit 31,
Cloud occupancy data editing unit 32 and cloud occupancy data management unit 3
And 3.

FIG. 6 is a block diagram showing the internal configuration of the cloud occupancy data storage device 40. In the figure, a cloud occupancy data storage device 40 includes a cloud occupancy data storage unit 41,
And a cloud occupancy data transmission unit 42.

FIG. 7 is a view for explaining the data format of the cloud occupancy data. In the figure, the cloud occupancy data 36 is
A data acquisition information storage unit 36a including character information such as position information and time information; and a cloud occupancy data storage unit 3 storing cloud occupancy data for each grid as numerical information.
6b.

Next, a procedure from reception of the cloud occupancy data to storage of the cloud occupancy data in the cloud occupancy data management device 30 and the cloud occupancy data storage device 40 will be described. The cloud occupancy data receiving unit 31 uses the cloud determination processing device 2
The cloud occupancy data transmission unit 25 receives the cloud occupancy data, and notifies the cloud occupancy data management unit 33 of the reception. This notification data includes the cloud occupancy data file 3
6 includes time information of an image acquired from the data acquisition information storage unit 36a.

The cloud occupancy data management unit 33 already stores the notified time information of the acquired image in the cloud occupancy data storage device 40.
Is compared with the time information of the cloud occupancy data stored in the cloud occupancy data, and if it is shorter than a preset time interval, an edit instruction for duplication deletion is sent to the cloud occupancy data editing unit 32.

The cloud occupancy data editing unit 32 fetches the cloud occupancy data from the cloud occupancy data reception unit 31, and further fetches the cloud occupancy data determined to be close to the observation date and time from the cloud occupancy data storage device 40. . If there is an overlap in each grid, the captured cloud occupancy data is deleted from either data. Further, in the case where the information is duplicated, information on one of the grids is missing or of poor quality, normal data is selected and used as the data of the grid. The cloud occupancy data from which duplication has been deleted in this manner is sent to the cloud occupancy data storage device 40 and stored. If the data does not overlap, the cloud occupancy data management unit 33 sends the cloud occupancy data editing unit 32 to the cloud occupancy data editing unit 32 without duplicating the cloud occupancy data received from the cloud occupancy data reception unit 31. A notification is sent to the cloud occupancy storage device 40.

FIG. 8 is a block diagram showing the internal configuration of the cloud amount calculation device 50. In the figure, the cloud amount calculation device 50
Is composed of a cloud occupancy data acquisition unit 51, a target grid information calculation unit 52, a cloud amount calculation condition receiving unit 53, and a cloud amount calculation output unit 54.

FIG. 9 is a view for explaining a data area designated by the user for calculating the amount of cloud. FIG. 10 is a diagram illustrating how the grid of the cloud occupancy data is associated with the range specified by the user.

Next, a procedure from receiving a request from the user to calculating the cloud amount in response to the request will be described with reference to the drawings. The cloud amount calculation condition receiving unit 53 receives a cloud amount calculation request from the user 5. Conditions necessary for reception are area designation and time designation. As shown in FIG. 9, the area is specified by a plurality of points, and the latitude and longitude of each point are specified as position information. Cloud amount calculation condition receiving unit 53
Gives a reception number to the request and outputs these cloud amount calculation conditions to the target grid information calculation unit 52.

The target grid information calculation unit 52 calculates the grid information of the cloud occupancy data corresponding to the latitude and longitude information of each point designated as an area in the cloud amount calculation conditions input from the cloud amount calculation condition receiving unit 53 by calculation. Ask. FIG. 10 shows the relationship between the latitude and longitude of each designated point and the grid obtained by calculation. FIG. 10A shows an area 56 requested by the user, and FIG. 10B shows a corresponding grid group 57. The obtained grid number of the grid group 57 is added to the cloud amount calculation condition and output to the cloud occupancy data acquisition unit 51.

The cloud occupancy data acquisition unit 51 outputs the cloud amount calculation conditions input from the target grid information calculation unit 52 to the cloud occupancy data management unit 33 of the cloud occupancy data management device 30. The cloud occupancy data management unit 33 selects data having time information closest to the requested time from the management information held therein, and then selects data matching the designated position information from the data, and Occupancy data storage device 4
Instruct 0 to output cloud occupancy data. The cloud occupancy data storage device 40 that has received the instruction sends the corresponding data from the cloud occupancy data storage unit 41 to the cloud occupancy data transmission unit 42, and the cloud occupancy data that has entered the cloud occupancy data transmission unit 42 is It is output to the cloud occupancy data acquisition unit 51 of the cloud amount calculation device 50.

Further, the cloud occupancy data management unit 33 notifies the cloud occupancy data acquisition unit 51 of output result information in accordance with the output of the cloud occupancy data. The output result information is time information of the cloud amount calculation condition received by the cloud occupancy data management unit 33,
It notifies whether data corresponding to the position information is stored and output. If there is no data that meets the conditions and the output result information to that effect is sent to the cloud occupancy data acquisition unit 51, the cloud occupancy data acquisition unit 51 sends the cloud occupancy calculation Notifies that no data matches the conditions. The cloud amount calculation condition receiving unit 53 displays the user 5 by displaying it on the display screen.
Notify this.

When the cloud occupancy data as requested can be obtained, the cloud occupancy data obtaining section 51 outputs the data to the cloud amount calculation output section 54. The cloud amount calculation output unit 54 calculates the cloud amount in the designated area from the input cloud occupancy data. In the calculation method, the ratio of the cloud occupying in the designated area is obtained from the cloud occupancy data of the corresponding grid shown in FIG. 10B by the following formula, and is applied to a preset stage (for example, 2 to 10 stages) from the ratio. . H = Σ (I × R) / G × 100 H: Cloud occupancy ratio in designated area I: Cloud cover index in grid R: Cloud cover ratio indicated by cloud cover index G: Total number of grids in area The numerical value of the stage is output to the user 5 as the cloud amount.

[0054]

The cloud amount calculation system according to the present invention can automatically acquire weather image data by setting access to the Internet in advance and store it in the apparatus. The burden can be greatly reduced.

Further, cloud occupancy data can be automatically processed for each predetermined unit area such as a grid independent of the types of weather satellites and on-board sensors, and these data are saved after performing a process of deleting duplicate data. Since the database is used, the cloud amount can be uniformly evaluated on a global scale, and it is possible to evaluate not only the present time but also the past time.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an overall configuration of a cloud amount calculation system according to an embodiment of the present invention.

FIG. 2 is a block diagram showing the internal configuration of the weather image data obtaining device.

FIG. 3 is a block diagram showing an internal configuration of the cloud occupancy processing device.

FIG. 4 is a view for explaining the correspondence between image cloud discrimination result data and grid information.

FIG. 5 is a block diagram showing an internal configuration of the cloud occupancy data management device.

FIG. 6 is a block diagram showing the internal configuration of the cloud occupancy data storage device.

FIG. 7 is a view for explaining the data format of cloud occupancy data.

FIG. 8 is a block diagram showing the internal configuration of the cloud amount calculation device.

FIG. 9 is a view for explaining a data area designated by a user for calculating the cloud amount.

FIG. 10A is a diagram showing an area requested by a user. (B) The figure which shows the grid group corresponding to a request area | region.

FIG. 11 is a block diagram of a conventional cloud amount calculation device in which a person (operator) determines a cloud amount sequentially by viewing a satellite image displayed on a screen.

FIG. 12 is a block diagram of a conventional cloud amount calculation apparatus for automatically calculating cloud amount in association with a specific satellite-mounted sensor using image data.

[Explanation of symbols]

1 cloud amount calculation system, 2 weather data distribution organization, 3 internet, 4 workers,
5 users, 10 weather image data acquisition device, 1
1 weather data acquisition environment setting unit, 12 weather image acquisition unit, 13 acquired image temporary storage unit, 20
Cloud occupancy processing device, 21 image data acquisition section, 22 image cloud discrimination processing section, 23 image grid allocating section 24 image cloud occupancy determination section,
25 cloud occupancy data transmission unit, 26 grid information,
27 Image cloud discrimination result data, 28 Cloud discrimination result data corresponding group 29 Earth contour 30
Cloud occupancy data storage management device, 31 cloud occupancy data reception unit, 32 cloud occupancy data editing unit, 33
Cloud occupancy data management unit, 36 cloud occupancy data file structure, 40 cloud occupancy data storage device, 41 cloud occupancy data storage unit, 42 cloud occupancy data transmission unit,
50 cloud amount calculation device, 51 cloud occupancy data acquisition unit, 52 target grid information calculation unit,
53 cloud amount calculation condition receiving unit 54 cloud amount calculation unit, 56 area requested by user, 57 corresponding grid group, 61 satellite image data storage device, 62 data temporary storage device, 63 image display device,
64 evaluation result input device, 65 satellite image data catalog storage device, 66 magneto-optical disk medium,
67 magnetic disk unit, 68 cloud cover evaluation unit,
69 Evaluation result storage disk

Claims (9)

[Claims] A meteorological image data acquisition device for acquiring meteorological image data from a plurality of meteorological satellites, and a cloud occupancy process for processing the acquired meteorological image data into cloud occupancy data in a grid of a uniform size And a cloud occupancy storage device for storing the cloud occupancy data together with position data and time data. 2. A cloud amount calculation system according to claim 1, further comprising a cloud occupancy data management device for storing the data while avoiding duplication of the cloud occupancy data and managing the stored data. 3. The cloud cover according to claim 1, further comprising a cloud cover calculating device for calculating and outputting a cloud cover at a requested place and time using the stored cloud occupancy data. Calculation system. A meteorological image data acquisition unit for accessing the site to acquire the meteorological image data observed by a plurality of operating geostationary meteorological satellites distributed on the Internet, and acquiring the meteorological image data; It is characterized by comprising a weather image data acquisition environment setting unit that can set a timing and an acquisition source of image data, and an acquired data primary storage unit that temporarily stores acquired weather image data. The cloud amount calculation system according to claim 1. 5. The weather occupancy processing device captures weather image data from the acquired data primary storage unit and temporarily stores the weather image data, and a plurality of different weather image data storage units stored in the weather image data capture unit. A plurality of image cloud discrimination processing units for each format that discriminate clouds with a cloud discrimination algorithm suitable for the weather image data in the format, and discrimination results of each point output from the plurality of image cloud discrimination processing units are unified. A plurality of image grid allocating units corresponding to the plurality of image cloud discriminating units to be allocated to grids of a size, and a cloud occupancy for each of all the grids allocated by the plurality of image grid allocating units, in a plurality of stages. Occupying a plurality of image clouds corresponding to the plurality of image cloud discriminating processing units and the plurality of image grid allocating units; 4. The image processing apparatus according to claim 1, further comprising: a determination unit; and a cloud occupancy data transmission unit configured to transmit the cloud occupancy data output from each of the image cloud occupancy determination units. 5. Cloud amount calculation system. 6. A cloud occupancy data management unit, wherein the cloud occupancy data receiving unit receives the cloud occupancy data transmitted from the cloud occupancy data transmission unit; In the case of overlapping, a cloud occupancy data editing unit that deletes the overlapped portion and aggregates it into one place, one time, and one data, and a cloud occupancy data management unit that responds to an external output request The cloud amount calculation system according to claim 2 or 3, wherein the cloud amount is calculated. 7. A cloud occupancy data storage unit, wherein the cloud occupancy data storage unit hierarchizes the cloud occupancy data together with latitude / longitude data and time data, and stores the data in a database. The cloud amount calculation system according to any one of claims 1 to 3, further comprising a cloud occupancy data transmission unit that outputs cloud occupancy data specified by the unit to the outside. 8. A cloud amount calculation condition receiving unit for receiving input of latitude and longitude information and time information as conditions for determining a range in which the cloud amount is calculated, and a cloud amount calculation condition receiving unit that receives the input latitude and longitude information and time information. A target grid information calculation unit for extracting a target grid, a cloud occupancy data acquisition unit for requesting the cloud occupancy data management device to acquire cloud occupancy data of the target grid, and acquiring the cloud occupancy data. A cloud amount calculation output unit that calculates a cloud amount (cloud coverage) in a designated area using the obtained cloud occupancy data, and outputs a calculation result in predetermined stages. The cloud amount calculation system according to claim 3, wherein the cloud amount is calculated. 9. A step of designating a timing and a source for acquiring weather image data observed by a plurality of operating geostationary weather satellites distributed over the Internet in accordance with the weather image data distribution organization; Accessing and capturing websites on the Internet,
A step of classifying the acquired plurality of weather image data of different formats with a cloud classification algorithm appropriate for each format, a step of allocating the classification results to a grid of a uniform size, and a step of arranging the cloud for each of the allocated grids. Determining the occupancy in a plurality of stages; and if the cloud occupancy data is duplicated at a location and time, delete the duplicated portion to one location,
One-time, one-data-editing step, the edited cloud occupancy data are hierarchized together with latitude / longitude data and time data, stored as a database, and stored as a condition for determining a range for calculating the cloud amount. Receiving input of latitude and longitude information and time information of
Extracting the target grid from the input latitude / longitude information and time information, and calculating the cloud amount (cloud coverage) of the designated area using the extracted cloud occupancy data of the target grid; And outputting a calculation result in predetermined stages.