Irrigation monitoring device, irrigation monitoring system, water filling amount estimation method, irrigation monitoring method and water filling amount estimation program
The irrigation monitoring device and system use satellite data and machine learning to accurately estimate water recharge and methane emissions, supporting sustainable irrigation practices and reducing groundwater depletion and land subsidence.
Patent Information
- Application Number
- JP2025517697
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2024-05-31
- Filing Date
- 2024-10-24
- Publication Date
- 2025-09-29
- Estimated Expiration
- 2044-10-24
AI Technical Summary
Existing technologies fail to accurately estimate the amount of water charged into groundwater during winter irrigation and methane gas emissions, which are critical for addressing groundwater depletion and global warming concerns in areas with heavy semiconductor production.
An irrigation monitoring device and system that utilizes satellite data to identify irrigation areas, estimate water filling volumes, and monitor methane emissions, incorporating machine learning for improved accuracy.
Provides precise estimation of water recharge and methane gas emissions, promoting sustainable winter irrigation practices to replenish groundwater and reduce land subsidence, while encouraging participation in irrigation projects through credit systems.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an irrigation monitoring device, an irrigation monitoring system, a water filling amount estimation method, an irrigation monitoring method, and a water filling amount estimation program for monitoring irrigation to paddy fields in the winter when rice cultivation is not carried out. [Background technology]
[0002] The semiconductor market is expected to grow significantly in the future due to digitalization and rising demand from industries such as communications and automobiles. However, semiconductor production requires large amounts of groundwater. In particular, in areas where major companies are concentrated, there are concerns about the depletion of groundwater resources due to heavy use and the resulting land subsidence. Winter irrigation of paddy fields is one of the countermeasures for groundwater depletion. It is desirable to estimate the amount of water that is recharged into the groundwater during winter irrigation compared to groundwater extraction. Patent Document 1 discloses a technique for estimating a flooded area, but it is limited to estimating the area and does not disclose a technique for estimating the amount of water that will be charged into groundwater in the flooded area.
[0003] In addition, methane gas is expected to be generated during winter irrigation. Methane gas is one of the causes of global warming, and there is a demand to reduce it. Patent Document 1 discloses a technology for estimating the amount of methane gas generated, but since the estimation is not based on winter data, there are issues with accuracy when estimating the amount of methane gas generated by winter irrigation. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Japanese Patent Application Publication No. 2023-174067 Summary of the Invention [Problem to be solved by the invention]
[0005] The present disclosure aims to provide a technology for estimating the amount of water charged into groundwater due to winter irrigation. [Means for solving the problem]
[0006] The irrigation monitoring device according to the present disclosure comprises: an area receiving unit that receives a designation of an area; a water area identification data acquisition unit that acquires water area identification data, which is image data for identifying a water area on the Earth's surface, the image data being image data observed by an observation satellite and including the received area; a filling amount estimation unit that identifies an irrigation area, which is an area of the paddy field being irrigated, by analyzing the water area identification data, and estimates the amount of water filling into the groundwater volume in the identified irrigation area as an attributable filling amount due to irrigation from an estimation model that estimates the water volume; Equipped with. [Effects of the Invention]
[0007] The irrigation monitoring device according to the present disclosure includes a filling volume estimation unit, and therefore can provide a technology for estimating the volume of water that will be filled into the groundwater volume by winter irrigation. [Brief explanation of the drawings]
[0008] [Figure 1] FIG. 1 is a diagram of the first embodiment, showing the system configuration of an irrigation monitoring system 1000. [Figure 2] FIG. 2 is a diagram of the first embodiment, showing a water balance model 2000 constructed by the irrigation monitoring system 1000. [Figure 3] FIG. 10 is a diagram of the first embodiment showing communication between another person and the irrigation monitoring device 500. [Figure 4] FIG. 10 is a diagram of the first embodiment, showing filling by winter irrigation. [Figure 5] FIG. 1 is a diagram of the first embodiment, showing the hardware configuration of the irrigation monitoring device 500. [Figure 6] FIG. 1 is a sequence diagram showing an overview of winter irrigation according to the first embodiment. [Figure 7]FIG. 10 is a flowchart showing details of step S20 in the first embodiment. [Figure 8] FIG. 10 is a diagram of the first embodiment, showing a method for estimating the attributable filling amount 5 using the irrigation monitoring device 500. DETAILED DESCRIPTION OF THE INVENTION
[0009] In the description of the embodiments and drawings, the same elements and corresponding elements are denoted by the same reference numerals. The description of elements denoted by the same reference numerals will be omitted or simplified as appropriate. In the following embodiments, the word "unit" may be appropriately read as "circuit," "process," "step," "processing," or "circuitry."
[0010] Embodiment 1 An irrigation monitoring system 1000 according to a first embodiment will be described with reference to FIGS. In the following explanation, irrigation refers to winter irrigation during the winter when rice is not being cultivated in paddy fields, for example, from November to March.
[0011] ***Configuration Description*** 1 is a system configuration diagram of an irrigation monitoring system 1000. The irrigation monitoring system 1000 includes a local government 10, farmers 20-1, 20-2, etc., companies 30-1, 30-2, etc., an exchange 40, an irrigation business infrastructure center 50, and a ground station 60. The irrigation monitoring system 1000 includes a local government terminal 100, a farmer terminal device 200-1, farmer terminal devices 200-1..., a company terminal device 300-1, company terminal devices 300-2..., an exchange terminal device 400, and an irrigation monitoring device 500. The terminal device will be referred to as a terminal hereinafter. The local government 10 uses a local government terminal 100. Farmers 20-1, 20-2, etc. use farmer terminal 200-1, farmer terminal 200-2, etc., respectively. Companies 30-1, 30-2, etc. use company terminal 300-1, company terminal 300-2, etc., respectively. The exchange 40 uses an exchange terminal 400. The irrigation business infrastructure center 50 uses an irrigation monitoring device 500. The irrigation monitoring device 500 acquires satellite information observed by an observation satellite 61 that observes the Earth via a ground station 60, and uses the satellite information to monitor the amount of irrigation water in paddy fields in winter. The irrigation monitoring device 500 utilizes satellite information to estimate the attributable filling amount 5 described below.
[0012] The route by which the irrigation monitoring device 500 obtains satellite information is not limited. For example, the satellite information may be obtained from the ground station 60 via the network 70, or may be obtained directly from the ground station 60. The local government terminal 100, the farmer terminal 200-1 etc., the company terminal 300-1 etc., the exchange terminal 400, and the irrigation monitoring device 500 are connected to the network 70. Each of the devices can communicate with other devices via the network 70. The network 70 is, for example, the Internet, but is not limited to the Internet.
[0013] <Summary of interactions between the Irrigation Business Infrastructure Center 50 and others> 2 and 3, an overview of the interactions between the irrigation business infrastructure center 50, the local government 10, the farmer 20-1, the company 30-1, and the exchange 40 in the irrigation monitoring system 1000 will be described. The "local government 10, the farmer 20-1, the company 30-1, and the exchange 40" will be collectively referred to as "other parties." The explanation will be given using farmer 20-1 and company 30-1 as examples of farmers and companies. Fig. 2 shows a water balance model 2000 constructed by the irrigation monitoring system 1000. Fig. 2 shows an overview of interactions between the irrigation business infrastructure center 50 and other parties. FIG. 3 shows the participation request 91, participation fee payment notice 92, methane suppression payment notice 93, support fund provision notice 94, data utilization service provision fee 95, etc. in FIG.
[0014] In areas where major semiconductor industry companies are concentrated, winter irrigation of rice paddies is a measure to combat groundwater decline due to the large-scale use of groundwater and the resulting land subsidence. In the irrigation monitoring system 1000, the irrigation monitoring device 500 estimates the attributable charge volume 5 (described below) for winter irrigation of rice paddies. The irrigation monitoring system 1000 is a system that supports winter irrigation projects and aims to maintain and improve the groundwater environment based on the estimated attributable charge volume 5. Company i is aware of the amount of water withdrawal Q(i) of company i in a certain municipality 10. The irrigation monitoring system 1000 constructs an optimal water balance model 2000 (Figure 2) to balance company i's water withdrawal Q(i) with the amount of groundwater stored in the municipality 10. Based on the water balance model 2000, the spread and expansion of winter irrigation projects for rice paddies is promoted, and groundwater is replenished. The water balance model 2000 visualizes the balance between the amount of groundwater that decreases due to water withdrawal by the company and the amount of groundwater that increases due to winter irrigation, using satellite information from an observation satellite 600. This visualization promotes the sharing of water balance information among stakeholders such as municipalities, farmers, and companies.
[0015] The amount of methane gas emitted during winter irrigation will be monitored. At the same time, measures will be implemented to reduce winter methane gas emissions, and the amount of methane gas reduced with and without these measures will be objectively measured. Credit certification may be made based on the results of the measurements.
[0016] (Summary of irrigation water amount estimation) Figure 4 shows the groundwater recharge caused by winter irrigation. Semiconductor companies, which require large amounts of groundwater, need to secure the water necessary for semiconductor production. Local governments also need to reduce the risk of land subsidence due to excessive groundwater use. To secure water and reduce these risks, they request winter irrigation from farmers. The irrigation monitoring system 1000 uses satellite information, such as satellite images, to estimate the increase in groundwater volume resulting from winter irrigation. This increase is referred to as the attributable charge volume 5. The attributable charge volume 5 is the increase in groundwater volume due to winter irrigation. The irrigation monitoring device 500 provides data based on the attributable charge volume 5 to stakeholders involved in irrigation projects, such as local governments 10, farmers 20, and companies 30. Providing objective data encourages companies to participate in irrigation projects. This increases farmers' incomes, prevents land subsidence, and preserves groundwater resources.
[0017] The irrigation monitoring device 500 also acquires local groundwater volume data in the municipality 10 and compares the local groundwater volume data with the attributable charge volume 5. By comparing the local groundwater volume data over time with the attributable charge volume 5 over time, the validity (improved accuracy) of the wide-area measurement can be evaluated.
[0018] ***Configuration Description*** FIG. 5 shows the hardware configuration of the irrigation monitoring device 500. The irrigation monitoring device 500 includes, as hardware components, a processor 510, a main memory device 520, an auxiliary memory device 530, an input IF 540, an output IF 550, and a communication IF 560. IF indicates an interface. The processor 510 is connected to the main memory device 520 and other hardware components via a signal line 570. The irrigation monitoring device 500 stores an irrigation monitoring program 531. The processor 510 includes, as functional elements, an area reception unit 511, a water area identification data acquisition unit 512, a filling amount estimation unit 513, a greenhouse effect data acquisition unit 514, and a methane emission amount estimation unit 515. The functions of the area reception unit 511, the water area identification data acquisition unit 512, the filling amount estimation unit 513, the greenhouse effect data acquisition unit 514, and the methane emission amount estimation unit 515 are realized by the processor 510 executing the irrigation monitoring program 531. The operation of the irrigation monitoring device 500 corresponds to a water fill volume estimation method. The operation of the water fill volume estimation method corresponds to processing by the irrigation monitoring program 531, which is a water fill volume estimation program.
[0019] ***Explanation of Operation*** The operation of the irrigation monitoring system 1000 will be described with reference to FIGS. Figure 6 shows a sequence outlining winter irrigation. FIG. 7 is a flowchart showing the details of step S20. FIG. 8 shows a method for estimating the attributable filling volume 5 using the irrigation monitoring device 500.
[0020] In step S11, farmer 20-1 begins winter irrigation of his paddy field. In step S12, a constellation of observation satellites, including observation satellite 61-1, which takes optical or SAR images of the Earth's surface, and GHG satellite 61-2, which takes observation image data of greenhouse gases, observe the Earth's surface and acquire Earth's surface images over a period of time ΔT. The observation satellites transmit the acquired Earth's surface images to ground station 60. In step S20, irrigation monitoring device 500 performs various processes using satellite images acquired from the observation satellites. Details of step S20, from step S21 to step S25 in FIG. 7, are explained below.
[0021] <Step S21> In step S21, the area receiving unit 511 receives the designation of an "area." Here, the "area" is an area that is the target of estimation of the attributable filling amount 5. The area received by the area receiving unit 511 is referred to as a "received area."
[0022] <Step S22> In step S22, the water area identification data acquisition unit 512 acquires "water area identification data." "Water area identification data" is image data that is observed by an observation satellite over an area including the reception area and is used to identify water areas on the ground. The image data includes optical images and SAR images. The water areas on the ground include paddy fields that are irrigated in winter.
[0023] <Step S23> In step S23, the filling amount estimation unit 513 identifies an "irrigation area" by analyzing the water area identification data. The "irrigation area" is an area of a paddy field where winter irrigation is carried out by farmer 20-1. The filling amount estimation unit 513 can identify the irrigation area by using a high-spatial-performance farmland classification method on optical images and SAR images from an observation satellite. This makes it possible to identify farmland (irrigation area) that is irrigated in winter among farmland used for paddy fields. The filling amount estimation unit 513 estimates the increase in groundwater volume in the identified irrigation area as the attributable filling amount 5 due to irrigation using a water storage model. FIG. 8 shows a method for estimating the attributable filling amount 5. In FIG. 8, companies 30-1, 30-2, etc. are taking groundwater. Farmers 20-1, 20-2, etc. are conducting winter irrigation. Observation satellites 61-1, 61-2 acquire terrestrial water area identification data for an area including the reception area. As described above, the filling amount estimation unit 513 identifies the irrigation area 6 based on the water area identification data. Here, for the area Aw of the irrigation area 6 and the water height H in the irrigation area 6, "Area Aw x Water height H = Water volume from irrigation" The amount of water irrigated is the volume of water irrigated, not the amount of water charged into the groundwater.
[0024] (Method of estimating the attributable filling amount 5) The filling amount estimation unit 513 can estimate the attributable filling amount 5 by the following methods. The "models" of the first estimation method, the second estimation method, and the third estimation method are all estimation models that use geographic information. (1) The first estimation method is Water depth reduction by area division = amount of water stored in rice paddies that decreases over a certain period = "amount of evapotranspiration from rice paddies + amount of infiltration from rice paddies" By using a model using this, the amount of infiltration in a paddy field can be estimated as the amount of infiltration 5. In other words, the amount of infiltration 5 can be calculated from the amount of water reduction in the water level H. (2) As a second estimation method, the amount of water stored on the ground surface can be estimated by utilizing a DEM (digital elevation model). That is, the amount of water stored in the irrigation area 6 can be estimated using the DEM, and this amount of water stored can be used as the attributable charge amount 5. (3) As a third estimation method, the amount of water loss is used in the same way as the first estimation method, but the amount of water loss can be modeled using land cover classification information (soil information) to estimate the amount of attributable filling 5.
[0025] <Step S24> In step S24, the greenhouse effect data acquisition unit 514 acquires "observation image data of greenhouse gases." The "observation image data of greenhouse gases" is observation image data of greenhouse gases observed by a greenhouse gases observing satellite, which is the observation satellite 61, over an area including the reception area.
[0026] <Step S25> In step S25, The methane emission amount estimation unit 515 analyzes the greenhouse gas observation image data to estimate the amount of methane gas emitted from the irrigation area 6 identified by the filling amount estimation unit 513. The methane emission amount estimation unit 515 can estimate the amount of methane gas emitted from the irrigation area 6 using the following methods. The first estimation method involves directly estimating methane gas emissions from directly above the irrigation area 6 to the atmosphere using a dedicated sensor mounted on an observation satellite. The estimation is made from wavelength characteristics that are sensitive to methane gas using an observation satellite equipped with a multispectral or hyperspectral sensor. As a second estimation method, the methane emission amount estimation unit 515 has a learning function and generates an inference unit through AI learning from optical image data, SAR image data, and objective data on methane gas emission. The methane emission amount estimation unit 515 uses this inference unit to estimate the methane gas emission amount. In the first estimation method, the methane gas emission amount from directly above the irrigation area 6 to the atmosphere is directly estimated using a dedicated sensor, which improves the accuracy of estimating the methane gas emission amount. The second estimation method uses machine learning, but the training data is often an inference machine trained using reference data on summer methane gas emissions and satellite data. The methane emission estimation unit 515 targets methane emissions during winter irrigation, and it is assumed that winter data is used as training data. This improves the accuracy of estimating methane emissions during winter irrigation. It is also possible to use greenhouse gas observation image data for training to develop the second method.
[0027] <Details of interactions between the Irrigation Infrastructure Center 50 and others> Returning to Figures 2 and 3, details of the interactions between the irrigation business infrastructure center 50 and others will be described. The irrigation monitoring system 1000 is a system that monitors irrigation in an irrigation project that irrigates paddy fields in the winter when rice cultivation is not carried out. The local government terminal 100 transmits to the irrigation monitoring device 500 a support money provision notice 94 notifying that support money will be provided for the irrigation project. When the farmer 20-1 participates in the irrigation project, the farmer terminal 200-1 receives a participation fee payment notice 92 from the irrigation monitoring device 500 notifying the farmer of the payment of the participation fee for participating in the irrigation project. The company terminal 300-1 transmits a participation request 91 requesting participation in the irrigation project to the irrigation monitoring device 500. The participation request 91 is associated with a participation fee.
[0028] The filling amount estimation unit 513 of the irrigation monitoring device 500 transmits data based on the attributable filling amount 5 to the local government terminal 100 and the enterprise terminal 300. In addition, the methane emission amount estimation unit 515 of the irrigation monitoring device 500 transmits data based on the estimated methane gas emission amount to the local government terminal 100 and the enterprise terminal 300. "Data based on the attributable filling amount 5" may be the attributable filling amount 5 itself, or data generated using the attributable filling amount 5. Data generated using the attributable filling amount 5 is data that cannot be generated without using the attributable filling amount 5. "Data based on estimated methane gas emissions" may be the estimated methane gas emissions themselves, or data generated using the estimated methane gas emissions. Data generated using estimated methane gas emissions is data that cannot be generated without using the estimated methane gas emissions.
[0029] A company can register credits based on the attributable filling amount 5 on the exchange 40 and transfer the credits to other companies. Also, if the data based on methane gas emissions is methane gas emission reduction data, a company can register credits based on the methane gas emission reduction amount on the exchange 40 and transfer the credits to other companies.
[0030] ***Explanation of the effect of the first embodiment*** Companies should consider the amount of water they withdraw from winter irrigation. Place The effect of filling the sewage can be known, so that companies can safely take water. Companies are working to reduce the amount of water used in winter irrigation. Place Knowing the benefits of filling up sewage will increase people's willingness to participate in irrigation projects, which will lead to increased winter irrigation, thereby reducing the risk of groundwater depletion and land subsidence. Companies are participating in irrigation projects. Add This will further increase the willingness of companies to participate in irrigation projects, thereby reducing the risk of groundwater depletion and land subsidence. By knowing the amount of water filling (which is also sent to the farmer's terminal), farmers can learn about the effects of winter irrigation and receive winter irrigation participation fees. This increases farmers' motivation to participate in winter irrigation projects, reducing the risk of groundwater depletion and land subsidence. When the attributable filling amount is estimated, the farmer may receive a reward according to the area of his / her irrigation area. Notification of the reward is sent from the irrigation monitoring device 500 to the farmer's terminal. The reward increases farmers' motivation to participate in winter irrigation projects, reducing the risk of groundwater depletion and land subsidence. The local government can obtain various data based on the attributable charge amount from the irrigation monitoring device 500. Therefore, the local government can utilize this data to reduce the risk of groundwater depletion and land subsidence. The irrigation infrastructure center 50 obtains local groundwater volume data from the local government, so it can confirm the accuracy of the estimated attributable charge volume. That is, by analyzing both the local groundwater volume data and the attributable charge volume over time, it is possible to determine the relationship between the groundwater volume and the attributable charge volume over time. Okan The correlation is extracted and can be used to improve the accuracy of the irrigation monitoring system 1000. The Irrigation Business Infrastructure Center 50 can collect small donations to secure industrial water and increase the number of supporting companies, including small and medium-sized enterprises. The irrigation business infrastructure center 50 may, on behalf of the supporting companies, request farmers to carry out large-scale groundwater recharge in order to secure industrial water, and may act on behalf of the supporting companies. The irrigation business infrastructure center 50 may increase the unit price of the cooperation money paid to farmers due to the increase in the contributions. The irrigation business infrastructure center 50 may establish a direct sales route for agricultural products to supporting companies.
[0031] The operation of the irrigation monitoring system 1000 described above can be understood as an irrigation monitoring method. Furthermore, in the irrigation monitoring system 1000, it is not necessarily an essential configuration for the local government terminal 100 to send to the irrigation monitoring device 500 a support money provision notice informing that support money will be provided for the irrigation project.
[0032] (Hardware Supplement) The hardware configuration of the irrigation monitoring device 500 will be further explained with reference to FIG.
[0033] The irrigation monitoring device 500 is a computer. The processor 510 is a device that executes an irrigation monitoring program 531. When the processor 510 executes the irrigation monitoring program 531, the functions of an area reception unit 511, a water area identification data acquisition unit 512, a filling amount estimation unit 513, a greenhouse effect data acquisition unit 514, and a methane emission amount estimation unit 515 are realized. The processor 510 is an integrated circuit (IC) that performs arithmetic processing.
[0034] Specific examples of the main memory device 520 include an SRAM (Static Random Access Memory) and a DRAM (Dynamic Random Access Memory). The main memory device 520 stores the results of calculations performed by the processor 510.
[0035] The auxiliary storage device 530 is a storage device that stores data in a non-volatile manner. A specific example of the auxiliary storage device 530 is a hard disk drive (HDD). The auxiliary storage device 530 may also be a portable recording medium. The auxiliary storage device 530 stores an irrigation monitoring program 531.
[0036] The input IF 540 is a port through which data is input from each device. The output IF 550 is connected to various devices. The output IF 550 is a port through which data is output by the processor 510 to various devices. The communication IF 560 is a communication port through which the processor 510 communicates with other devices.
[0037] The processor 510 loads the irrigation monitoring program 531 from the auxiliary storage device 530 into the main storage device 520. The processor 510 reads the loaded irrigation monitoring program 531 from the main storage device 520 and executes it.
[0038] The irrigation monitoring program 531 is a program that causes a computer to execute each process, procedure, or step of the area reception unit 511, water area identification data acquisition unit 512, filling volume estimation unit 513, greenhouse effect data acquisition unit 514, and methane emission estimation unit 515, where the word "part" is replaced with "process," "procedure," or "step."
[0039] Furthermore, the method performed by the irrigation monitoring device 500 when it executes the irrigation monitoring program 531 is a water filling volume estimation method. The irrigation monitoring program 531, which is a water filling volume estimation program, may be provided by being stored in a computer-readable recording medium, or may be provided as a program product.
[0040] (Hardware configuration of each device) The local government terminal 100-1, the farmer terminal 200-1, the company terminal 300-1, and the exchange terminal 400 are computers similar to the irrigation monitoring device 500. The description of the hardware configuration of the irrigation monitoring device 500 also applies to the local government terminal 100-1, the farmer terminal 200-1, the company terminal 300-1, and the exchange terminal 400. [Explanation of symbols]
[0041] 5 Attributed filling amount, 10 Municipality, 20-1, 20-2 Farmer, 30-1, 30-2 Company, 40 Exchange, 50 Irrigation Business Infrastructure Center, 60 Ground Station, 61 Observation Satellite, 62 Satellite Constellation, 70 Network, 91 Participation Request, 92 Participation Fee Payment Notice, 93 Methane Reduction Payment Notice, 94 Subsidy Provision Notice, 95 Data Utilization Service, 96, 97 Credit, 100 Municipality Terminal, 200-1, 200-2 Farmer Terminal, 300-1, 300-2 Company Terminal, 400 Exchange Terminal, 500 Irrigation Monitoring Device, 510 Processor, 511 Area Reception Unit, 512 Water Area Identification Data Acquisition Unit, 513 Filling Amount Estimation Unit, 514 Greenhouse Effect Data Acquisition Unit, 515 Methane Emission Estimation Unit, 520 Main Memory Device, 530 Auxiliary storage device, 531 irrigation monitoring program, 540 input IF, 550 output IF, 560 communication IF, 1000 irrigation monitoring system, 2000 water balance model.
Claims
1. an area receiving unit that receives a designation of an area; a water area identification data acquisition unit that acquires water area identification data, which is image data for identifying a water area on the Earth's surface, the image data being image data observed by an observation satellite and including the received area; a filling amount estimation unit that identifies an irrigation area, which is an area of the paddy field being irrigated, by analyzing the water area identification data, and estimates the amount of water filling into the groundwater volume in the identified irrigation area as an attributable filling amount due to irrigation, using an estimation model that estimates water volume based on the area, water depth, and evapotranspiration of the irrigation area; An irrigation monitoring device comprising:
2. The irrigation monitoring device further includes: a greenhouse effect data acquisition unit that acquires observation image data of greenhouse gases observed by a group of observation satellites that observe greenhouse gases in an area including the received region; The irrigation monitoring device of claim 1, further comprising a methane emission estimation unit that estimates the amount of methane gas emitted from the irrigation area identified by the filling amount estimation unit by analyzing the greenhouse gas observation image data.
3. The filling amount estimation unit As the irrigation area, an area of a paddy field that is irrigated in winter when rice cultivation is not performed is identified, and the amount of water charged to the groundwater volume in winter in the identified irrigation area is estimated as the amount of charge attributable to winter irrigation; The greenhouse effect data acquisition unit Obtaining observation image data of the greenhouse gases in the winter; The methane emission amount estimation unit The irrigation monitoring device according to claim 2 , wherein the amount of methane gas emitted from the irrigated area due to the winter irrigation is estimated by analyzing the observation image data of the greenhouse gases in the winter.
4. An irrigation monitoring system for monitoring irrigation in an irrigation business that irrigates paddy fields in the winter when rice cultivation is not performed, The irrigation monitoring system includes: Farm terminals used by farmers, company terminals used by companies, and irrigation monitoring devices used by irrigation business infrastructure centers. Equipped with The irrigation monitoring device includes: Accepts the area specification, Acquire water area identification data, which is image data observed by an observation satellite for a range including the received area and is used to identify water areas on the Earth's surface; The water area identification data is analyzed to identify an irrigation area, which is an area of the paddy field being irrigated, and the amount of water charged to the groundwater volume in the identified irrigation area is estimated as an attributable charge amount due to irrigation using an estimation model that estimates water volume based on the area, water depth, and evapotranspiration of the irrigation area. Irrigation monitoring system.
5. The irrigation monitoring device includes: Obtaining observation image data of greenhouse gases observed by a group of observation satellites that observe greenhouse gases in an area including the received region; estimating methane gas emissions from the identified irrigation area by analyzing the greenhouse gas observation image data; The irrigation monitoring system according to claim 4 , wherein data based on the estimated attributable filling amount and data based on the estimated discharge amount are transmitted to the company terminal.
6. The irrigation monitoring system Identifying an area of the paddy field that is irrigated in the winter as the irrigation area, and estimating the amount of water charged to the groundwater volume in the winter in the identified irrigation area as an attributable charge amount due to the winter irrigation; Obtaining observation image data of greenhouse gases in the winter; The irrigation monitoring system according to claim 4 , wherein the amount of methane gas emitted from the irrigated area due to the winter irrigation is estimated by analyzing the observation image data of the greenhouse gases in the winter.
7. The farmer terminal is When the farmer participates in the irrigation project, a participation fee payment notice is received from the irrigation monitoring device, notifying the farmer of payment of a participation fee for participation in the irrigation project; The enterprise terminal The irrigation monitoring system according to claim 4 , wherein a participation request for participation in the irrigation project is transmitted to the irrigation monitoring device.
8. The irrigation monitoring system further comprises: Equipped with local government terminals for use by local governments, The local government terminal sending a support money provision notice to the irrigation monitoring device notifying that a support money will be provided for the irrigation project; The irrigation monitoring system according to claim 4.
9. The irrigation monitoring system transmitting data based on the estimated attributable filling amount to the local government terminal; The irrigation monitoring system according to claim 8.
10. The computer Accepts the area specification, Acquire water area identification data, which is image data observed by an observation satellite for a range including the received area and is used to identify water areas on the Earth's surface; The water area identification data is analyzed to identify an irrigation area, which is an area of the paddy field being irrigated, and the amount of water charged to the groundwater volume in the identified irrigation area is estimated as an attributable charge amount due to irrigation using an estimation model that estimates water volume based on the area, water depth, and evapotranspiration of the irrigation area. Water filling amount estimation method.
11. An irrigation monitoring method performed by an irrigation monitoring system that monitors irrigation in an irrigation project in which irrigation is carried out to paddy fields in the winter when rice cultivation is not carried out, the irrigation monitoring system comprising: Farm terminals used by farmers, company terminals used by companies, and irrigation monitoring devices used by irrigation business infrastructure centers. Equipped with The irrigation monitoring device includes: Accepts the area specification, Acquire water area identification data, which is image data observed by an observation satellite for a range including the received area and is used to identify water areas on the Earth's surface; The water area identification data is analyzed to identify an irrigation area, which is an area of the paddy field being irrigated, and the amount of water charged to the groundwater volume in the identified irrigation area is estimated as an attributable charge amount due to irrigation using an estimation model that estimates water volume based on the area, water depth, and evapotranspiration of the irrigation area. Irrigation monitoring methods.
12. On the computer, an area reception process for receiving an area specification; a water area identification data acquisition process for acquiring water area identification data, which is image data for identifying a water area on the Earth's surface, the image data being image data observed by an observation satellite and including the received area; a filling amount estimation process for identifying an irrigation area, which is an area of the paddy field being irrigated, by analyzing the water area identification data, and estimating the amount of water filling into the groundwater volume in the identified irrigation area as an attributable filling amount due to irrigation, using an estimation model that estimates the water volume based on the area, water depth, and evapotranspiration of the irrigation area; A water filling volume estimation program that executes the above.
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