Evaluation device, evaluation method, and program

Abstract

One purpose of this invention is to provide an evaluation device capable of providing information which could impact the asset value of real estate in light of the actual state of the real estate. An evaluation device according to one embodiment of the present disclosure comprises: an acquisition means for acquiring displacement information, which is information related to ground surface displacement and is generated from data based on results from measuring the ground surface with a synthetic aperture radar; an extraction means for extracting inclination information, which is related to the inclination of a specific piece of real estate, on the basis of the displacement information corresponding to the position of the specific piece of real estate; and a calculation means for calculating an evaluation value related to the asset value of the specific piece of real estate, in accordance with the magnitude of the value indicated by the inclination information.

Description

[Technical Field]

[0001] The present disclosure relates to techniques for valuing real estate. [Background technology]

[0002] There are technologies for evaluating ground. For example, Patent Documents 1 and 2 disclose a method for evaluating ground based on geological data such as the risk of flooding and liquefaction of land. Specifically, Patent Documents 1 and 2 disclose a method for obtaining geological data prepared by the government or other organizations in advance, expressing the obtained data in a unified index, and evaluating the risk of the target land. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-10448 A [Patent Document 2] International Publication No. 2018 / 051398 Summary of the Invention [Problem to be solved by the invention]

[0004] The asset value of real estate is determined by a variety of factors. For example, when roads or railways are constructed underground, shield tunnel construction is carried out. This shield tunnel construction can cause land subsidence. Land and buildings in areas where such subsidence occurs may see a decline in asset value. In this way, actual real estate movements can affect asset value.

[0005] In the cited documents 1 and 2, the geological data used is static data estimated from the type of geology, topography, surrounding environment, etc. In other words, the valuation results do not necessarily take into account data that is in line with the actual state of the real estate.

[0006] The present disclosure has been made in consideration of the above-mentioned problems, and one of its objectives is to provide an appraisal device, etc. that is capable of providing information that is in line with the actual state of real estate and that may affect the asset value of real estate. [Means for solving the problem]

[0007] An evaluation device according to one aspect of the present disclosure includes an acquisition means for acquiring displacement information, which is information regarding displacement of the ground surface, generated from data based on the results of observation of the ground surface by a synthetic aperture radar; an extraction means for extracting tilt information, which is information regarding the tilt of a specific real estate, based on the displacement information corresponding to the position of the specific real estate; and a calculation means for calculating an evaluation value regarding the asset value of the specific real estate depending on the magnitude of the value indicated in the tilt information.

[0008] An evaluation method according to one aspect of the present disclosure acquires displacement information, which is information regarding the displacement of the ground surface, generated from data based on the results of observation of the ground surface by synthetic aperture radar; extracts tilt information, which is information regarding the tilt of a specific real estate, based on the displacement information corresponding to the position of the specific real estate; and calculates an evaluation value regarding the asset value of the specific real estate according to the magnitude of the value indicated in the tilt information.

[0009] A computer-readable storage medium according to one aspect of the present disclosure stores a program that causes a computer to execute the following processes: acquiring displacement information, which is information regarding displacement of the ground surface, generated from data based on the results of observation of the ground surface by synthetic aperture radar; extracting tilt information, which is information regarding the tilt of a specific real estate, based on the displacement information corresponding to the position of the specific real estate; and calculating an evaluation value regarding the asset value of the specific real estate depending on the magnitude of the value indicated in the tilt information. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to provide information that is in line with the actual state of real estate and that may affect the asset value of real estate. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram schematically illustrating an example of the configuration of a real estate appraisal system including an appraisal device according to a first embodiment of the present disclosure. [Figure 2] 1 is a block diagram showing an example of a functional configuration of an evaluation device according to a first embodiment of the present disclosure. [Figure 3] 4 is a flowchart illustrating an example of the operation of the evaluation device according to the first embodiment of the present disclosure. [Figure 4] FIG. 2 is a block diagram illustrating an example of a functional configuration of a real estate appraisal system according to a second embodiment of the present disclosure. [Figure 5] FIG. 10 is a diagram schematically illustrating an example of an observation point according to the second embodiment of the present disclosure. [Figure 6] FIG. 10 is a diagram illustrating an example of a relationship between individual evaluation information and an evaluation value according to the second embodiment of the present disclosure. [Figure 7] 10 is a flowchart illustrating an example of an operation of the analysis device according to the second embodiment of the present disclosure. [Figure 8] 10 is a flowchart illustrating an example of the operation of the evaluation device according to the second embodiment of the present disclosure. [Figure 9] FIG. 10 is a block diagram illustrating an example of the functional configuration of a real estate appraisal system according to a third embodiment of the present disclosure. [Figure 10] FIG. 11 is a diagram illustrating an example of a relationship between individual evaluation information and an evaluation value according to the third embodiment of the present disclosure. [Figure 11] FIG. 11 is a diagram illustrating an example of output information according to the third embodiment of the present disclosure. [Figure 12] 10 is a flowchart illustrating an example of the operation of the evaluation device according to the third embodiment of the present disclosure. [Figure 13] FIG. 2 is a block diagram showing an example of a hardware configuration of a computer device that realizes an evaluation device according to the first, second, and third embodiments of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

[0013] First Embodiment An overview of the evaluation device of the present disclosure will be described.

[0014] FIG. 1 is a diagram schematically illustrating an example of the configuration of a real estate appraisal system 1000 including an appraisal device 100. In the example of FIG. 1, the real estate appraisal system 1000 includes the appraisal device 100, an observation device 200, and an analysis device 300. The real estate appraisal system 1000 may be configured to further include a terminal device 400. The real estate appraisal system 1000 may also include the appraisal device 100 and the analysis device 300, and may be configured to be communicatively connected to the observation device 200 and the terminal device 400. The appraisal device 100 is communicatively connected to the analysis device 300 and the terminal device 400 via a wireless or wired network. The analysis device 300 is further communicatively connected to the observation device 200 via a wireless or wired network.

[0015] The observation device 200 is, for example, an artificial satellite. In this case, the observation device 200 moves on an orbit in the sky and observes the Earth's surface at any time. However, the observation device 200 is not limited to this example. For example, the observation device 200 may be a manned or unmanned aircraft. Examples of manned aircraft include airplanes, helicopters, and airships. Unmanned aircraft are sometimes called UAVs (Unmanned Aerial Vehicles), small unmanned aircraft, or drones. When there is no distinction between manned and unmanned aircraft, they are simply referred to as aircraft. When the observation device 200 is an aircraft, the observation device 200 flies, for example, according to instructions from a user, and observes the Earth's surface while flying.

[0016] The observation device 200 observes the earth's surface from the sky using a synthetic aperture radar (SAR) mounted on the observation device 200. The observation device 200 generates observation data based on the results of observing the earth's surface. Specifically, the observation device 200 uses the synthetic aperture radar to irradiate electromagnetic waves onto the earth's surface from the sky and acquires the electromagnetic waves (reflected waves) reflected from the earth's surface in the direction of the synthetic aperture radar. The observation data includes data related to the reflected waves acquired by the observation device 200. The data related to the reflected waves includes, for example, data on the intensity, phase, and polarization of the reflected waves. By using the synthetic aperture radar, the observation device 200 can generate observation data of a wide range of the earth's surface. By using the synthetic aperture radar, the observation device 200 can generate observation data obtained by observing the earth's surface even in bad weather. Note that in this specification, the term "earth's surface" includes objects present on the land's surface. Examples of objects present on the land's surface include buildings, roads, and forests.

[0017] The observation device 200 observes the Earth's surface at any time. Each time the observation device 200 observes a predetermined area of ​​the Earth's surface, it generates observation data based on the results of observing the Earth's surface. The observation device 200 transmits the observation data to the analysis device 300, for example.

[0018] Here, the range of the earth's surface observed by the observation device 200 is also referred to as the observation range. The observation data may be data including a combination of position data indicating a position within the observation range and data related to reflected waves acquired by the observation device 200. The position within the observation range may be latitude and longitude information, or other information capable of identifying the position of the earth's surface. In this case, the position within the observation range is also referred to as an observation point. The observation data may further include data indicating the time at which the observation was made. The data indicating the time may be information on the date at which the observation was made, or information on the date and time at which the observation was made. An image indicating the data related to reflected waves acquired by a synthetic aperture radar is also called a SAR image.

[0019] The analysis device 300 performs analysis of the earth's surface as needed. Specifically, the analysis device 300 generates displacement information, which is information related to the displacement of the earth's surface, based on observation data. The displacement information indicates the displacement of the earth's surface that occurs over time. For example, the displacement information may be information that associates the position of the earth's surface (i.e., the observation point) with the displacement of the height of the earth's surface at that position. In this case, the position of the earth's surface and the displacement of the height of the earth's surface at that position may be represented as a map. For example, when a predetermined observation range is observed by the observation device 200 at different times, the analysis device 300 generates the displacement information based on the phase difference, intensity difference, etc. of the reflected waves included in the observation data of the observation range. For example, by causing the reflected waves observed for the same observation range to interfere and calculating the phase difference, the difference in distance between the earth's surface and the radar corresponding to the phase difference can be calculated. The displacement information is generated by using such a calculated difference in distance. This technique is also called interferometric SAR or time-series interferometric analysis. In this way, analysis device 300 generates displacement information from data based on the results of observation of the earth's surface by synthetic aperture radar. Analysis device 300 may generate displacement information at any time. At this time, analysis device 300 stores the generated displacement information in a storage device provided in analysis device 300, for example.

[0020] The terminal device 400 may be, for example, a personal computer or a portable terminal such as a smartphone or a tablet terminal. For example, the information generated by the evaluation device 100 is output to the terminal device 400. For example, the terminal device 400 may output an evaluation value, which will be described later, to a display provided in the terminal device 400.

[0021] 2 is a block diagram showing an example of the functional configuration of the evaluation device 100 according to the first embodiment. As shown in FIG. 2, the evaluation device 100 includes an acquisition unit 110, an extraction unit 120, and a calculation unit 130.

[0022] The acquisition unit 110 acquires displacement information. For example, the acquisition unit 110 acquires displacement information generated by the analysis device 300. In this way, the acquisition unit 110 acquires displacement information that is information about the displacement of the earth's surface, which is information generated from data based on the results of observing the earth's surface by a synthetic aperture radar. The acquisition unit 110 is an example of an acquisition means.

[0023] The extraction unit 120 extracts tilt information from the displacement information. Specifically, the extraction unit 120 identifies displacement information corresponding to the position of a specific property. Then, the extraction unit 120 extracts tilt information from the identified displacement information. Here, tilt information is information related to the tilt of the property. For example, the tilt information may include information on the amount of change indicating the change in height of the ground surface over a predetermined period of time. Furthermore, the tilt information may include information on the rate of change indicating the rate of change of the ground surface over a predetermined period of time. Furthermore, the tilt information may include information on the slope indicating the difference in the change of the ground surface over a predetermined range. In this way, the extraction unit 120 extracts tilt information, which is information related to the tilt of the specific property, based on the displacement information corresponding to the position of the specific property. The extraction unit 120 is an example of an extraction means.

[0024] The calculation unit 130 calculates an evaluation value related to the asset value of real estate. The evaluation value is an index indicating the risk related to the asset value of real estate. For example, assume that the slope information of a specific real estate includes information indicating the amount of fluctuation. In this case, it is considered that the larger the amount of fluctuation, the lower the asset value of the specific real estate. In other words, the larger the amount of fluctuation, the greater the negative risk related to the asset value. Therefore, the calculation unit 130 calculates an evaluation value according to the magnitude of the amount of fluctuation. For example, assume that the evaluation value is a numerical value from 1 to 10, and the closer to 1, the greater the negative impact on the asset value (i.e., the greater the negative risk). In this case, the calculation unit 130 calculates the evaluation value so that, for example, the larger the amount of fluctuation, the closer to 1. Furthermore, if the slope information includes information on the rate of fluctuation, the calculation unit 130 may calculate the evaluation value so that the larger the value of the rate of fluctuation, the closer to 1. Similarly, if the slope information includes information on the slope, the calculation unit 130 may calculate the evaluation value so that the larger the value of the slope, the closer to 1. In this way, the calculation unit 130 calculates an evaluation value relating to the asset value of a specific property in accordance with the magnitude of the value indicated in the slope information. The calculation unit 130 is an example of a calculation means.

[0025] Note that the method of expressing the evaluation value is not limited to this example. The evaluation value may be any index that can rank real estate in terms of asset value. Furthermore, the method of calculating the evaluation value is not limited to this example. For example, the calculation unit 130 may calculate the evaluation value for a specific real estate based on each of multiple types of values ​​included in the slope information. For example, the calculation unit 130 generates information related to evaluation for each of the amount of fluctuation, the speed of fluctuation, and the slope. Then, the calculation unit 130 may calculate the evaluation value for the specific real estate based on information related to the multiple evaluations.

[0026] Next, an example of the operation of the evaluation device 100 will be described with reference to Fig. 3. In this disclosure, each step in a flowchart will be represented by a number assigned to the step, such as "S1".

[0027] 3 is a flowchart illustrating an example of the operation of the evaluation device 100. The acquisition unit 110 acquires displacement information, which is information about the displacement of the ground surface and is generated from data based on the results of observation of the ground surface by a synthetic aperture radar (S1). The extraction unit 120 extracts tilt information, which is information about the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate (S2). Then, the calculation unit 130 calculates an evaluation value related to the asset value of the specific real estate according to the magnitude of the value indicated in the tilt information (S3).

[0028] In this way, the evaluation device 100 of the first embodiment acquires displacement information, which is information regarding the displacement of the ground surface and is generated from data based on the results of observation of the ground surface by a synthetic aperture radar. Furthermore, the evaluation device 100 extracts tilt information, which is information regarding the tilt of a specific property, based on the displacement information corresponding to the position of the specific property. The evaluation device 100 then calculates an evaluation value regarding the asset value of the specific property according to the magnitude of the value indicated in the tilt information. This allows the evaluation device 100 to indicate risks regarding the asset value, for example, taking into account the actual movement of the property. In other words, the evaluation device 100 of the first embodiment can provide information that may affect the asset value of the property, in line with the actual state of the property.

[0029] <Second embodiment> Next, a real estate appraisal system according to a second embodiment will be described. In the second embodiment, the real estate appraisal system 1000 described in the first embodiment will be described in more detail. Note that some of the content that overlaps with the content described in the first embodiment will not be described again.

[0030] 4 is a block diagram showing an example of the functional configuration of a real estate appraisal system 1000 according to the second embodiment. In this embodiment, the real estate appraisal system 1000 includes an appraisal device 100, an observation device 200, and an analysis device 300. Note that, as mentioned above, the configuration example of the real estate appraisal system 1000 is not limited to this example.

[0031] [Details of the analysis device 300] 4, analysis device 300 includes observation data acquisition unit 310 and displacement information generation unit 320. Analysis device 300 may also include storage device 390. Note that storage device 390 may be an external device communicably connected to analysis device 300.

[0032] The observation data acquisition unit 310 acquires observation data, which is data based on the results of observation of the Earth's surface by the observation device 200, from the observation device 200. The observation data acquisition unit 310 stores the acquired observation data in the storage device 390.

[0033] The displacement information generating unit 320 generates displacement information based on the observation data. One example of a method for generating displacement information is a method based on the time-series interference analysis described above, but is not limited to this example. The method for generating displacement information may be any of various existing methods as long as it generates a displacement in the height of the ground surface relative to the observation point. The displacement information generating unit 320 stores the generated displacement information in the storage device 390.

[0034] [Details of the evaluation device 100] 4, the evaluation device 100 includes an acquisition unit 110, an extraction unit 120, and a calculation unit 130. The evaluation device 100 may further include an output control unit 140. The evaluation device 100 may also include a storage device 190. The storage device 190 may be an external device capable of communicating with the evaluation device 100.

[0035] The acquisition unit 110 includes a real estate information acquisition unit 1101 and a displacement information acquisition unit 1102. The real estate information acquisition unit 1101 acquires real estate information. The real estate information is information about real estate such as land and buildings. The real estate information includes information indicating the location of the real estate, but may also include other information. For example, the real estate information may include information such as the owner of the real estate, the structure of the real estate, the land area of ​​the real estate, and the distance from the nearest station to the real estate. The real estate information acquisition unit 1101 may also acquire parcel information as real estate information. The parcel information can be acquired from, for example, a real estate company or a local government. The real estate information may be stored in advance in, for example, the storage device 190. That is, the real estate information acquisition unit 1101 may acquire the real estate information from the storage device 190. The real estate information acquisition unit 1101 may also acquire the real estate information from the terminal device 400. In this case, the real estate information may be information input by a user to the terminal device 400.

[0036] The displacement information acquisition unit 1102 acquires displacement information from the analysis device 300. At this time, the displacement information acquisition unit 1102 may acquire displacement information for the entire observation range observed by the observation device 200, or may acquire only a portion of the displacement information. For example, the displacement information acquisition unit 1102 may acquire displacement information whose observation range includes the real estate indicated in the acquired real estate information. The displacement information acquisition unit 1102 may store the acquired displacement information in the storage device 190.

[0037] The extraction unit 120 extracts tilt information of the real estate based on the displacement information. The displacement information includes at least information indicating the displacement of the height of the ground surface at the observation point. The extraction unit 120 identifies the observation point included in the area of ​​the real estate. Then, the extraction unit 120 extracts tilt information corresponding to the position of the real estate based on the displacement of the height of the ground surface at the identified observation point.

[0038] For example, the extraction unit 120 extracts information on the amount of change from the displacement of the ground surface height at identified observation points over a predetermined period of time. FIG. 5 is a diagram schematically illustrating an example of observation points. Specifically, FIG. 5 illustrates a map in which observation points are assigned on a map showing property A. In this case, the displacement information includes information indicating the displacement of the ground surface height at each of observation points a to p. For example, when extracting the amount of change for property A, the extraction unit 120 identifies observation points f, g, j, and k, which are observation points included in the area of ​​property A. Then, the extraction unit 120 extracts the displacement at any of observation points f, g, j, and k as the amount of change corresponding to the location of property A. For example, if the ground surface height at observation point f has risen by 30 mm (millimeters) over three years, the extraction unit 120 determines the amount of change for property A to be 30 mm. This example is not limiting; the extraction unit 120 may, for example, extract a representative value of the amount of change at observation points included in the area of ​​the property as the amount of change corresponding to the location of the property. Here, the representative value is a value that indicates the central tendency in a predetermined data group, such as the mean, median, mode, etc. For example, if the fluctuation amounts at observation points f, g, j, and k are 29 mm, 30 mm, 30 mm, and 31 mm, respectively, the extraction unit 120 may determine the mean value, 30 mm, as the fluctuation amount corresponding to the location of the real estate.

[0039] The extraction unit 120 may also extract the amount of change based on information indicating displacement at observation points included in an inclusion area that includes the area of ​​the real estate. The inclusion area is an area that includes the area of ​​the target real estate from which tilt information is extracted and is larger than the area of ​​the target real estate. For example, the inclusion area may be a circular or rectangular area centered on the target real estate. In the example of FIG. 5, the inclusion area is shown as a circular area that includes property A. The extraction unit 120 identifies, for example, observation points b, c, e, f, g, h, i, j, k, l, n, and o, which are observation points included in the inclusion area. Then, the extraction unit 120 extracts, for example, a representative value of the amount of change at the identified observation points as the amount of change corresponding to the location of property A. In this way, by using displacement information corresponding to observation points around the area of ​​the real estate, the amount of ground change around the property can be accurately extracted.

[0040] The extraction unit 120 also extracts information about the rate of change from the displacement of the ground surface height at the identified observation points over a predetermined period of time. In the example of FIG. 5 , when extracting the rate of change corresponding to the location of property A, the extraction unit 120 identifies observation points f, g, j, and k. Then, the extraction unit 120 extracts the rate of change at one of observation points f, g, j, and k as the rate of change corresponding to the location of property A. For example, if the ground surface height at observation point f has risen 30 mm over three years, the extraction unit 120 determines the rate of change corresponding to the location of property A to be 10 mm / year (millimeters per year). In this case, the extraction unit 120 may use a representative value of the rate of change at each of observation points f, g, j, and k as the rate of change corresponding to the location of property A. The extraction unit 120 may also use a representative value of the rate of change at each of the observation points included in the inclusion area as the rate of change at the location of property A.

[0041] The extraction unit 120 also extracts information about the slope from the change in ground surface height over a predetermined period at observation points included in the real estate area. In the present disclosure, slope refers to the difference in ground surface fluctuations at multiple observation points. For example, the extraction unit 120 extracts fluctuation amounts at multiple observation points included in the real estate area. The extraction unit 120 then determines the difference between the maximum and minimum fluctuation amounts among the extracted fluctuation amounts as the slope of the real estate area. In the example of FIG. 5, if observation point f shows the maximum fluctuation amount and observation point k shows the minimum fluctuation amount, the extraction unit 120 extracts the difference between the fluctuation amounts at observation point f and observation point k as the slope of real estate A. For example, the extraction unit 120 may express the slope value of real estate A as 5 / 1000 mm. In this case, information about the slope direction may also be added. For example, if the direction from observation point f to observation point k is southeast, the information about the slope includes information indicating that there is a slope of 5 / 1000 mm in the southeasterly direction.

[0042] The extraction unit 120 may extract at least one of information on the amount of change, information on the speed of change, and information on the inclination from the displacement information as tilt information. The tilt information is not limited to this example. The tilt information may be information related to the movement of real estate.

[0043] The calculation unit 130 includes an individual evaluation information generation unit 1301 and an evaluation value calculation unit 1302. The individual evaluation information generation unit 1301 generates individual evaluation information based on the slope information. The individual evaluation information is information determined according to the magnitude of the value for each piece of information included in the slope information. When the slope information includes information on the amount of change, information on the rate of change, and information on the slope, the individual evaluation information generation unit 1301 generates individual evaluation information for each piece of information on the amount of change, information on the rate of change, and information on the slope. The larger the values ​​of the amount of change, the rate of change, and the slope, the higher the likelihood that they will have a negative impact on the asset value of the real estate. Therefore, the individual evaluation information generation unit 1301 generates individual evaluation information for each piece of information as the degree to which it will have a negative impact on the asset value. For example, if the amount of change exceeds a predetermined threshold, the individual evaluation information generation unit 1301 generates information indicating that the amount of change is large as individual evaluation information for the amount of change. Similarly, for example, if the amount of variation is equal to or less than a predetermined threshold, the individual evaluation information generating unit 1301 generates information indicating that the amount of variation is small as individual evaluation information for the amount of variation. FIG. 6 is a diagram showing an example of the relationship between individual evaluation information and evaluation values. In the example of FIG. 6, two levels of information, "large" or "small," are shown as the individual evaluation information. For example, if the value of the slope exceeds a predetermined threshold, the individual evaluation information for the slope is shown as "large." Furthermore, if the value of the slope is equal to or less than the predetermined threshold, the individual evaluation information for the slope is shown as "small." Note that the individual evaluation information in FIG. 6 is merely an example, and the individual evaluation information is not limited to this example. For example, the individual evaluation information may be information of three or more levels. Furthermore, for example, the individual evaluation information may be a numerical value determined according to the magnitude of the value indicated in the target information.

[0044] The evaluation value calculation unit 1302 calculates an evaluation value related to the asset value of real estate. Specifically, the evaluation value calculation unit 1302 calculates an evaluation value based on the individual evaluation information generated by the individual evaluation information generation unit 1301. If the individual evaluation information indicates a high possibility of a negative impact on the asset value, the evaluation value calculation unit 1302 calculates an evaluation value that indicates a large negative risk related to the asset value. For example, the evaluation value calculation unit 1302 may calculate an evaluation value such that the greater the negative risk related to the asset value of the real estate, the smaller the value. In the example of FIG. 6 , the record in the first row indicates that the evaluation value is "1" when the individual evaluation information on the slope, the individual evaluation information on the fluctuation speed, and the individual evaluation information on the fluctuation amount are all "large." That is, the evaluation value calculation unit 1302 calculates an evaluation value of 1 when the information on the slope, the information on the fluctuation speed, and the information on the fluctuation amount are all highly likely to have a negative impact on the asset value. Conversely, the record on the eighth line indicates that if the individual evaluation information for the slope, the individual evaluation information for the fluctuation speed, and the individual evaluation information for the fluctuation amount are all "small," the evaluation value is "5." That is, the evaluation value calculation unit 1302 calculates an evaluation value of 5 when the information on the slope, the information on the fluctuation speed, and the information on the fluctuation amount are each unlikely to have a negative impact on the asset value. That is, in the example of FIG. 6, the closer the evaluation value is to 1, the greater the negative risk to the asset value of the real estate.

[0045] It should be noted that the method of expressing the evaluation value is not limited to this example. For example, if the individual evaluation information is a numerical value determined according to the magnitude of the value indicated in the target information, the evaluation value may be the sum of the values ​​of the individual evaluation information. The evaluation value may also be expressed numerically, or may be expressed by other characters or symbols. The evaluation value may be any index that can rank real estate according to the risk related to asset value.

[0046] The evaluation value calculation unit 1302 may also weight the information included in the slope information. A state in which a building subsides unevenly relative to the ground and is inclined is called differential settlement. When a building is experiencing differential settlement, partial weight is applied to the building, potentially causing significant damage. The greater the property's slope, the more likely the property is experiencing differential settlement. Therefore, the evaluation value calculation unit 1302 calculates the evaluation value so that the slope information has a stronger influence than other information. In the example of FIG. 6 , when the individual evaluation information for slope is "large," the evaluation value is "1" or "2," regardless of the individual evaluation information for the rate of change and the amount of change. When the individual evaluation information for slope is "small," the evaluation value is "3," "4," or "5," regardless of the individual evaluation information for the rate of change and the amount of change. In this way, the evaluation value calculation unit 1302 may calculate the evaluation value so that the slope information, among the information included in the slope information, has a greater influence on the evaluation value than other information.

[0047] The output control unit 140 controls output information, which is information including the calculated evaluation value, to be output to the terminal device 400. For example, the output control unit 140 controls output of the evaluation value for each property shown in the property information to a display included in the terminal device 400. The output control unit 140 is an example of an output control means.

[0048] [Example of operation of analysis device 300] Next, an example of the operation of analysis device 300 will be described with reference to Fig. 7. In this example of operation, it is assumed that observation device 200 is constantly observing the earth's surface.

[0049] 7 is a flowchart illustrating an example of the operation of the analysis device 300. The observation data acquisition unit 310 acquires observation data from the observation device 200 at any time (S101). Then, the displacement information generation unit 320 generates displacement information based on the observation data (S102).

[0050] The operation of analysis device 300 is not limited to this example.

[0051] [Example of operation of evaluation device 100] Next, an example of the operation of evaluation device 100 will be described with reference to Fig. 8. In this operation example, it is assumed that displacement information has been generated in advance in analysis device 300.

[0052] 8 is a flowchart illustrating an example of the operation of the evaluation device 100. The real estate information acquisition unit 1101 acquires real estate information (S201). Furthermore, the displacement information acquisition unit 1102 acquires displacement information from the analysis device 300 (S202). The extraction unit 120 extracts tilt information corresponding to the position of the real estate (S203). For example, the extraction unit 120 extracts tilt information including information on the amount of fluctuation, information on the speed of fluctuation, and information on the slope.

[0053] The individual evaluation information generating unit 1301 generates individual evaluation information for each piece of information included in the slope information (S204). For example, the individual evaluation information generating unit 1301 generates individual evaluation information for each of the information on the amount of fluctuation, the information on the fluctuation speed, and the information on the slope, according to the magnitude of the value indicated by each piece of information. Then, the evaluation value calculating unit 1302 calculates an evaluation value based on the individual evaluation information (S205). The output control unit 140 controls so that the calculated evaluation value is output to the terminal device 400 (S206).

[0054] The operation of the evaluation device 100 is not limited to this example.

[0055] In this way, the evaluation device 100 of the second embodiment acquires displacement information, which is information regarding the displacement of the ground surface and is generated from data based on the results of observation of the ground surface by a synthetic aperture radar. Furthermore, the evaluation device 100 extracts tilt information, which is information regarding the tilt of a specific property, based on the displacement information corresponding to the position of the specific property. The evaluation device 100 then calculates an evaluation value regarding the asset value of the specific property according to the magnitude of the value indicated in the tilt information. This allows the evaluation device 100 to indicate risks regarding the asset value, for example, taking into account the actual movement of the property. In other words, the evaluation device 100 of the second embodiment can provide information that may affect the asset value of the property, in line with the actual state of the property.

[0056] The slope information may include at least one of information regarding the amount of change in the ground surface corresponding to the location of the property, information regarding the rate of change in the ground surface corresponding to the location of the property, and information regarding the slope indicating the difference in change in the ground surface in the area of ​​the property.The evaluation device 100 may then generate individual evaluation information according to the magnitude of the value indicated for each piece of information included in the slope information, and calculate an evaluation value based on the individual evaluation information.This allows the evaluation device 100 to calculate the evaluation value of the property by taking into account multiple types of information related to changes in the property.

[0057] The evaluation device 100 may be used, for example, by a management company that manages real estate. The evaluation device 100 can provide the management company with information that may affect the asset value of the real estate. Therefore, the management company can, for example, detect defects in building construction at an early stage based on the provided information. The evaluation device 100 may also be used, for example, by a securities company that makes investments related to real estate. The securities company can use the information provided by the evaluation device 100, for example, to predict price movements of real estate. Therefore, the securities company can make efficient investments and management of real estate.

[0058] [Variation 1] The individual evaluation information for the information on slope may take into account the slope of the inclusion area. In the example of FIG. 5, assume that extraction unit 120 extracts information on the slope of property A. Extraction unit 120 extracts information on the slope of property A based on displacement information at observation points f, g, j, and k in property A's area. Extraction unit 120 may also extract information on the slope of the inclusion area based on displacement information at the observation points in the inclusion area. In this case, extraction unit 120 identifies, for example, observation points b, c, e, h, i, l, n, and o included in the inclusion area. Extraction unit 120 then determines the difference between the maximum and minimum amounts of change at the identified observation points as the slope of the inclusion area. This allows the slope value and direction of the property's area and the slope value and direction of the inclusion area to be calculated.

[0059] The individual evaluation information generation unit 1301 generates individual evaluation information for information regarding slope based on the slope value and slope direction in the real estate area and the slope value and slope direction in the inclusion area. When a building slopes, the entire building may be tilted, or only the building may be tilted. If only the building is tilted, differential settlement is likely to be occurring. Therefore, the individual evaluation information generation unit 1301 generates individual evaluation information based on the difference between the slope value and slope direction in the real estate area and the slope value and slope direction in the inclusion area. For example, assume that the slope value in the real estate area is 5 / 1000 mm and the slope direction is southeast. Here, assume that the slope value in the inclusion area is 5 / 1000 mm and the slope direction is southeast. In this case, since there is no difference between the slope in the real estate area and the slope in the inclusion area, the individual evaluation information generation unit 1301 generates individual evaluation information indicating that there is a low possibility of a negative impact on the asset value. On the other hand, assume that the slope value in the inclusion area is 0 mm. In this case, since only the real estate is leaning, the individual assessment information generating unit 1301 generates individual assessment information indicating that there is a high possibility that this will have a negative impact on the asset value.

[0060] Note that examples of generating individual assessment information are not limited to this. For example, the individual assessment information generating unit 1301 may generate individual assessment information indicating a high possibility of a negative impact on asset value when the difference between the slope value in the inclusion area and the slope value in the real estate area is equal to or greater than a predetermined value. Furthermore, for example, the individual assessment information generating unit 1301 may generate individual assessment information indicating a high possibility of a negative impact on asset value when the difference between the slope direction in the inclusion area and the slope direction in the real estate area is equal to or greater than a predetermined value.

[0061] In this way, the evaluation device 100 may change the individual evaluation information of the information related to the slope depending on the magnitude of the difference between the slope value and slope direction in the inclusion area that includes the area of ​​the specific property and the slope value and slope direction in the area of ​​the specific property. This allows, for example, to more accurately determine whether the property is experiencing differential settlement.

[0062] [Variation 2] The calculation unit 130 may calculate an evaluation value based on the predicted slope information. Specifically, the individual evaluation information generation unit 1301 predicts slope information after a predetermined time has elapsed based on the slope information extracted by the extraction unit 120. For example, the individual evaluation information generation unit 1301 predicts the amount of fluctuation one year from now for a piece of real estate for which an evaluation value is to be calculated based on information on the amount of fluctuation over the past 10 years. Similarly, the individual evaluation information generation unit 1301 may predict a future rate of fluctuation and a future slope based on information on a past rate of fluctuation and information on a past slope. Then, the individual evaluation information generation unit 1301 generates individual evaluation information for the predicted slope information.

[0063] <Third embodiment> Next, a real estate appraisal system according to a third embodiment will be described. In the third embodiment, a method for calculating an appraisal value using information other than the slope information will be mainly described. Note that some of the content overlapping with the content described in the first and second embodiments will be omitted.

[0064] 9 is a block diagram showing an example of the functional configuration of a real estate appraisal system 1001 according to the third embodiment. In this embodiment, the real estate appraisal system 1001 includes an appraisal device 101, an observation device 200, and an analysis device 300. As with the above-described real estate appraisal system 1000, the configuration example of the real estate appraisal system 1001 is not limited to this example.

[0065] [Details of Evaluation Device 101] 9, the evaluation device 101 includes an acquisition unit 111, an extraction unit 121, a calculation unit 131, and an output control unit 141. The evaluation device 101 may also include a storage device 190. The storage device 190 may be an external device capable of communicating with the evaluation device 101.

[0066] The acquisition unit 111 may perform the processing described below in addition to the processing of the acquisition unit 110. The acquisition unit 111 includes a real estate information acquisition unit 1101, a displacement information acquisition unit 1102, an environmental information acquisition unit 1103, and a price information acquisition unit 1104.

[0067] The environmental information acquisition unit 1103 acquires environmental information. The environmental information is predetermined information indicating the impact on the ground surface in the event of a disaster. The environmental information may include information indicating the magnitude of the impact on the ground surface in the event of a disaster. For example, the environmental information may be information included in a hazard map, a liquefaction map, etc. Hazard maps and liquefaction maps include, for example, information indicating the possibility of floods, landslides, storm surges, tsunamis, and liquefaction at each location on the ground surface, or the degree of each occurrence. Such information indicating the magnitude of the impact on the ground surface in the event of a disaster is also referred to as information indicating flood risk, information indicating landslide risk, information indicating storm surge risk, information indicating tsunami risk, and information indicating liquefaction risk, respectively. For example, information indicating flood risk includes information indicating the expected inundation depth in the event of a flood at each location. Furthermore, for example, information indicating liquefaction risk includes information indicating the possibility of ground liquefaction at each location. The environmental information may include at least one of information indicating flood risk, information indicating landslide risk, information indicating storm surge risk, information indicating tsunami risk, and information indicating liquefaction risk. Note that the information included in the environmental information is not limited to this example. For example, the environmental information may include information indicating the presence or absence of soil contamination. Furthermore, if the real estate is a building, the environmental information may include information indicating the earthquake resistance performance of the building. Furthermore, hazard maps, liquefaction maps, and the like are provided, for example, by the government. In this embodiment, it is assumed that environmental information based on hazard maps, liquefaction maps, and the like is stored in advance in the storage device 190. That is, the environmental information acquisition unit 1103 acquires the environmental information from the storage device 190. Note that, without being limited to this example, the environmental information acquisition unit 1103 may acquire environmental information from an external device via the Internet.

[0068] The price information acquisition unit 1104 acquires price information. The price information is information related to the price of real estate. The price information may include information indicating various price fluctuations. For example, the price information includes information indicating the trend in the price of real estate. The price information may also include information indicating the cash flow of real estate. The price information may also include information indicating the trend in real estate transactions. The price information is provided, for example, by a management company that manages real estate. In this embodiment, it is assumed that the price information is stored in advance in the storage device 190. That is, the price information acquisition unit 1104 acquires the price information from the storage device 190. Note that this example is not limiting, and the price information acquisition unit 1104 may also acquire environmental information from an external device via the Internet.

[0069] The extraction unit 121 may perform the processing described below in addition to the processing of the extraction unit 120. The extraction unit 121 extracts environmental information corresponding to the location of a specific piece of real estate from the environmental information. For example, if the environmental information includes information indicating a liquefaction risk, the extraction unit 121 extracts the liquefaction risk corresponding to the location of the specific piece of real estate (for example, information indicating the possibility of liquefaction occurring at the location of the target real estate).

[0070] Furthermore, the extraction unit 121 extracts price information of a specific property from the price information. For example, if the price information includes information indicating a change in price, the extraction unit 121 extracts information indicating the change in price of the specific property. Furthermore, in addition to the price information of the specific property, the extraction unit 121 may extract price information of properties around the specific property. For example, when extracting the price information of the specific property, the extraction unit 121 may also extract price information of other properties in the district where the specific property is located and price information of other properties within 500 meters of the specific property.

[0071] The calculation unit 131 may perform the processes described below in addition to the processes of the calculation unit 130. The calculation unit 131 includes an individual evaluation information generation unit 1311 and an evaluation value calculation unit 1312. The individual evaluation information generation unit 1311 may generate individual evaluation information for each of the extracted environmental information and price information. For example, assume that the extracted environmental information includes information indicating liquefaction risk. Here, the occurrence of liquefaction at the location of a specific piece of real estate is likely to have a negative impact on the asset value of the specific piece of real estate. For example, if the possibility of liquefaction is higher than a predetermined value, the individual evaluation information generation unit 1311 generates information indicating a high liquefaction risk as individual evaluation information for the liquefaction risk of the real estate. FIG. 10 is a diagram illustrating an example of the relationship between individual evaluation information and evaluation values. In the example of FIG. 10, information indicating liquefaction risk is shown as an example of environmental information. In the example of FIG. 10, if a high liquefaction risk is indicated, the individual evaluation information for the information indicating liquefaction risk is displayed as "high." In addition, when a high risk of liquefaction is indicated, the individual evaluation information for the information indicating the risk of liquefaction is indicated as "low."

[0072] Also, for example, assume that the extracted price information includes information indicating the price trend of real estate. Here, if the price of a specific real estate is falling, there is a possibility that the price of the specific real estate will continue to fall. In other words, there is a high possibility that this will have a negative impact on the asset value of the specific real estate. For example, if the price of a real estate is falling, the individual evaluation information generation unit 1311 generates information indicating that the price is on a downward trend as individual evaluation information for the information indicating the price trend of the real estate. In the example of Figure 10, information indicating the price trend is shown as an example of price information. In the example of Figure 10, if the price trend is on an upward trend, the individual evaluation information for the information indicating the price trend is shown as "up." Also, if the price trend is on a downward trend, the individual evaluation information for the information indicating the price trend is shown as "down."

[0073] The evaluation value calculation unit 1312 calculates the evaluation value based on the slope information, environmental information, and price information. Specifically, the evaluation value calculation unit 1312 calculates the evaluation value based on individual evaluation information corresponding to each of the slope information, environmental information, and price information. In the example of FIG. 10 , the closer the evaluation value is to 1, the greater the negative risk to the asset value of the real estate. For example, the record in the first row indicates that the evaluation value is "1" when the individual evaluation information for the slope, the individual evaluation information for the fluctuation rate, and the individual evaluation information for the fluctuation amount are all "large," the individual evaluation information for the liquefaction risk is "high," and the individual evaluation information for the price trend is "downward." In other words, the evaluation value calculation unit 1312 calculates the evaluation value as 1 when the information on the slope, the information on the fluctuation rate, the information on the fluctuation amount, the information indicating the liquefaction risk, and the information indicating the price trend are each likely to have a negative impact on the asset value. In this way, the evaluation value calculation unit 1312 calculates the evaluation value based on the magnitude of the value indicated in the slope information, the magnitude of the impact of a disaster at the location of the real estate indicated in the environmental information, and the price fluctuation indicated in the price information.

[0074] In the example of FIG. 10, information indicating liquefaction risk is shown as an example of environmental information, and information indicating price trends is shown as an example of price information. However, as described above, the environmental information and price information are not limited to this example. Furthermore, each of the environmental information and price information may include multiple types of information. Furthermore, the method of expressing the evaluation value is not limited to this example. Furthermore, in the example of FIG. 10, the evaluation value calculation unit 1312 calculates the evaluation value by taking into account both the environmental information and the price information, but the evaluation value may be calculated by taking into account either the environmental information or the price information.

[0075] Furthermore, the evaluation value calculation unit 1312 may weight the environmental information and the price information. For example, in the example of FIG. 10 , when the record in the first row is compared with the record in the third row, the evaluation value is "1" regardless of the individual evaluation information for the information indicating liquefaction risk. Furthermore, when the record in the first row is compared with the record in the second row, the individual evaluation information for the information indicating price trends is different. The evaluation value of the record in the first row is "1" and the evaluation value of the record in the second row is "2." In this way, the evaluation value calculation unit 1312 may calculate the evaluation value so that the influence of price information on the evaluation value is greater than that of environmental information.

[0076] The output control unit 141 controls output information, which is information including the calculated evaluation value, to the terminal device 400. The output control unit 141 may change the output information in response to an input by a user of the terminal device 400. FIG. 11 is an example of the output information. In the example of FIG. 11, rectangles representing real estate A, real estate B, real estate C, real estate D, and real estate E, which are real estate for which evaluation values ​​are to be calculated, are shown on a map. FIG. 11 also shows the evaluation value for each real estate. For example, it is shown that the evaluation value of real estate A is 2, and the evaluation value of real estate B is 1. Here, the output control unit 141 may display the rectangles representing the real estate in different ways depending on the evaluation value. For example, the output control unit 141 may change the color of the rectangles representing the real estate depending on the evaluation value. In the example of FIG. 11, the rectangles representing the real estate are hatched differently depending on the evaluation value. For example, real estate A and real estate E, which have an evaluation value of 2, are hatched with the same hatching. The output control unit 141 may also highlight rectangles representing real estate with low evaluation values ​​(i.e., with high negative risk regarding asset value). For example, the output control unit 141 may output the rectangle representing the real estate in a manner that the closer the evaluation value is to 1, the redder the rectangle representing the real estate, and the farther the evaluation value is from 1, the bluer the rectangle representing the real estate. In this way, the output control unit 141 may display a rectangle at the position of the real estate on the map in a manner that corresponds to the evaluation value.

[0077] Furthermore, for example, the output control unit 141 may perform a display that allows the direction of inclination of the property to be understood. For example, in the example of FIG. 11, property B is sinking in the northeast direction. Therefore, the output control unit 141 may color the rectangle of property B with a gradation that becomes darker from the southwest direction to the northeast direction (from the lower left to the upper right of the rectangle of property B). This example is not limiting, and the output control unit 141 may also indicate the direction of inclination of the property with an arrow.

[0078] Also, for example, suppose that the user selects property B via an input device (for example, a mouse, keyboard, or touch panel) on the terminal device 400. In this case, the output control unit 141 may display the rectangle representing the selected property B in an emphasized manner. In the example of FIG. 11, the rectangle representing property B is surrounded by a thicker line than the rectangles representing the other properties. In addition, below the map, detailed information on slope information, environmental information, and price information is listed. This is the slope information, environmental information, and price information related to the selected property B. In this way, the output control unit 141 may output detailed information related to the property selected by the user.

[0079] Furthermore, the output control unit 141 may accept a selection of conditions for calculating an evaluation value. In the example of FIG. 11, "tilt information," "liquefaction risk," and "price transition" are selected. Then, an evaluation value is calculated based on the "tilt information," "liquefaction risk," and "price transition." Here, for example, if only "tilt information" is selected by the user, the calculation unit 131 calculates an evaluation value based on the tilt information. Then, the output control unit 141 changes the output information according to the calculated evaluation value. In this way, the output control unit 141 may accept a selection of information to be used when calculating an evaluation value, and output output information including an evaluation value calculated based on the information indicated by the selection.

[0080] [Example of operation of evaluation device 101] Next, an example of the operation of evaluation device 101 will be described with reference to Fig. 12. In this operation example, it is assumed that displacement information has been generated in advance in analysis device 300.

[0081] 12 is a flowchart illustrating an example of the operation of the evaluation device 101. The real estate information acquisition unit 1101 acquires real estate information (S301). Furthermore, the displacement information acquisition unit 1102 acquires displacement information from the analysis device 300 (S302). Furthermore, the environmental information acquisition unit 1103 acquires environmental information from the storage device 190 (S303). Then, the price information acquisition unit 1104 acquires price information from the storage device 190 (S304).

[0082] The extraction unit 121 extracts gradient information corresponding to the location of the property (S305). For example, the extraction unit 120 extracts gradient information including information on the amount of fluctuation, information on the rate of fluctuation, and information on the slope. The extraction unit 121 also extracts environmental information corresponding to the location of the property (S306). Then, the extraction unit 121 extracts price information corresponding to the location of the property (S307).

[0083] The individual evaluation information generation unit 1311 generates individual evaluation information (S308). For example, the individual evaluation information generation unit 1311 generates individual evaluation information for each piece of information included in the tilt information, the environmental information, and the price information. Then, the evaluation value calculation unit 1312 calculates an evaluation value based on the individual evaluation information (S309). The output control unit 141 controls output information including the calculated evaluation value to the terminal device 400 (S310).

[0084] Note that the operation of the evaluation device 101 is not limited to this example. For example, suppose that the output control unit 141 receives a selection of a condition for calculating an evaluation value. In this case, the evaluation device 101 performs the processing from S305 onwards according to the selected condition. For example, suppose that the user selects a condition for calculating an evaluation value based only on tilt information. In this case, after performing the processing of S305, the evaluation device 101 may perform the processing from S308 onwards without performing the processing of S306 and S307.

[0085] In this way, the evaluation device 101 of the third embodiment acquires environmental information, which is information indicating the impact on the ground surface in the event of a disaster, and price information, which is information related to the price of real estate. The evaluation device 101 also extracts environmental information corresponding to the location of a specific piece of real estate and price information related to the specific piece of real estate. The evaluation device 101 then calculates an evaluation value based on the magnitude of the value indicated in the slope information, the magnitude of the impact in the event of a disaster at the location of the specific piece of real estate indicated in the environmental information, and the price fluctuation indicated in the price information. This allows the evaluation device 101 to calculate an evaluation value using information other than the slope information.

[0086] <Example of evaluation device hardware configuration> The hardware constituting the evaluation device of the first, second, and third embodiments described above will be described. Fig. 13 is a block diagram showing an example of the hardware configuration of a computer device that realizes the evaluation device in each embodiment. The evaluation device and evaluation method described in each embodiment and each modified example are realized in a computer device 90.

[0087] 13, a computer device 90 includes a processor 91, a RAM (Random Access Memory) 92, a ROM (Read Only Memory) 93, a storage device 94, an input / output interface 95, a bus 96, and a drive device 97. The evaluation device may be realized by a plurality of electric circuits.

[0088] The storage device 94 stores a program (computer program) 98. The processor 91 executes the program 98 of the present evaluation device using the RAM 92. Specifically, for example, the program 98 includes a program that causes a computer to execute the processes shown in FIGS. 3, 8, and 12. The processor 91 executes the program 98 to realize the functions of the components of the present evaluation device. The program 98 may be stored in the ROM 93. Alternatively, the program 98 may be recorded in the storage medium 80 and read out using the drive device 97, or may be transmitted to the computer device 90 from an external device (not shown) via a network (not shown).

[0089] The input / output interface 95 exchanges data with peripheral devices (such as a keyboard, a mouse, and a display device) 99. The input / output interface 95 functions as a means for acquiring or outputting data. The bus 96 connects the components.

[0090] There are various variations in the method for realizing the evaluation device. For example, the evaluation device can be realized as a dedicated device. Alternatively, the evaluation device can be realized based on a combination of multiple devices. Alternatively, the evaluation device and the analysis device may be integrated into one device.

[0091] The scope of each embodiment also includes a processing method for recording a program for realizing each component of the function of each embodiment on a storage medium, reading the program recorded on the storage medium as code, and executing it on a computer. That is, a computer-readable storage medium is also included in the scope of each embodiment. Furthermore, the storage medium on which the above-mentioned program is recorded and the program itself are also included in each embodiment.

[0092] The storage medium may be, but is not limited to, a floppy disk, a hard disk, an optical disk, a magneto-optical disk, a CD (Compact Disc)-ROM, a magnetic tape, a non-volatile memory card, or a ROM. The programs recorded on the storage medium are not limited to standalone programs that execute processes, but also include programs that run on an OS (Operating System) in cooperation with other software and functions of an expansion board.

[0093] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

[0094] The above-described embodiments and modifications can be combined as appropriate.

[0095] Some or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes.

[0096] <Additional Notes> [Appendix 1] an acquisition means for acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and is information regarding the displacement of the ground surface; extraction means for extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; a calculation means for calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information, Evaluation equipment.

[0097] [Appendix 2] the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; the calculation means generates individual evaluation information according to the magnitude of a value indicated for each piece of information included in the gradient information, and calculates the evaluation value based on the individual evaluation information. 10. The evaluation device of claim 1.

[0098] [Appendix 3] the calculation means calculates the evaluation value such that, among the information included in the tilt information, information relating to the tilt has a greater influence on the evaluation value than other information. 2. The evaluation device according to claim 1.

[0099] [Appendix 4] The extraction means extracts the difference between the maximum amount of change and the minimum amount of change of the ground surface in the area of ​​the specific real estate as information regarding the slope. 4. The evaluation device according to claim 2 or 3.

[0100] [Appendix 5] the calculation means changes the individual evaluation information of the information relating to the slope depending on the magnitude of the difference between the slope value and slope direction in an inclusion area that includes the area of ​​the specific real estate and the slope value and slope direction in the area of ​​the specific real estate. 5. An evaluation device according to any one of appendices 2 to 4.

[0101] [Appendix 6] The acquisition means acquires environmental information, which is information indicating an impact on the ground surface when a disaster occurs, and price information, which is information related to real estate prices; The extraction means extracts the environmental information corresponding to the location of the specific real estate and the price information related to the specific real estate; the calculation means calculates the evaluation value based on the magnitude of the value indicated in the slope information, the magnitude of the impact at the time of a disaster at the location of the specific real estate indicated in the environmental information, and price fluctuations indicated in the price information; 6. An evaluation device according to any one of appendices 1 to 5.

[0102] [Appendix 7] the calculation means calculates the evaluation value so that the price information has a greater influence on the evaluation value than the environmental information. 7. The evaluation device according to claim 6.

[0103] [Appendix 8] further comprising an output control means for controlling output information including the evaluation value of the specific real estate to be output; the output information is information in which a rectangle is displayed at the position of the specific real estate on a map in a manner corresponding to the evaluation value; 8. An evaluation device according to any one of claims 1 to 7.

[0104] [Appendix 9] the output control means accepts a selection of information to be used when calculating the evaluation value, and outputs the output information including the evaluation value calculated based on the information indicated by the selection. 9. The evaluation device according to claim 8.

[0105] [Appendix 10] acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; calculating an evaluation value relating to the asset value of the specific real estate according to the magnitude of the value indicated in the slope information; Evaluation method.

[0106] [Appendix 11] a process of acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; and a process of calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information. A computer-readable storage medium. [Explanation of symbols]

[0107] 100, 101 Evaluation device 110, 111 Acquisition Department 120, 121 Extraction part 130, 131 Calculation section 140, 141 Output control section 200 Observation Equipment 300 Analysis equipment 400 Terminal Equipment 1000, 1001 Real Estate Evaluation System

Claims

1. an acquisition means for acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and is information regarding the displacement of the ground surface; extraction means for extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; a calculation means for calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information, the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; the calculation means generates individual evaluation information according to the magnitude of a value indicated for each piece of information included in the gradient information, and calculates the evaluation value based on the individual evaluation information; the calculation means calculates the evaluation value such that, among the information included in the tilt information, information relating to the tilt has a greater influence on the evaluation value than other information. Evaluation equipment.

2. An acquisition means for acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extraction means for extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; a calculation means for calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information, the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; the calculation means generates individual evaluation information according to the magnitude of a value indicated for each piece of information included in the gradient information, and calculates the evaluation value based on the individual evaluation information; The extraction means extracts the difference between the maximum amount of change and the minimum amount of change of the ground surface in the area of ​​the specific real estate as information regarding the slope. Evaluation equipment.

3. An acquisition means for acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extraction means for extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; a calculation means for calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information, the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; the calculation means generates individual evaluation information according to the magnitude of a value indicated for each piece of information included in the gradient information, and calculates the evaluation value based on the individual evaluation information; the calculation means changes the individual evaluation information of the information relating to the slope depending on the magnitude of the difference between the slope value and slope direction in an inclusion area that includes the area of ​​the specific real estate and the slope value and slope direction in the area of ​​the specific real estate. Evaluation equipment.

4. The acquisition means acquires environmental information, which is information indicating an impact on the ground surface when a disaster occurs, and price information, which is information related to real estate prices; The extraction means extracts the environmental information corresponding to the location of the specific real estate and the price information related to the specific real estate; the calculation means calculates the evaluation value based on the magnitude of the value indicated in the slope information, the magnitude of the impact at the time of a disaster at the location of the specific real estate indicated in the environmental information, and price fluctuations indicated in the price information; The evaluation device according to claim 1 .

5. the calculation means calculates the evaluation value so that the price information has a greater influence on the evaluation value than the environmental information. The evaluation device according to claim 4 .

6. further comprising an output control means for controlling output information including the evaluation value of the specific real estate to be output; the output information is information in which a rectangle is displayed at the position of the specific real estate on a map in a manner corresponding to the evaluation value; The evaluation device according to claim 1 .

7. An apparatus comprising: acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; calculating an evaluation value relating to the asset value of the specific real estate according to the magnitude of the value indicated in the slope information; the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; In the calculation, individual evaluation information is generated according to the magnitude of a value indicated for each piece of information included in the gradient information, and the evaluation value is calculated based on the individual evaluation information; In the calculation, the evaluation value is calculated so that the influence of the information regarding the inclination, among the information included in the inclination information, on the evaluation value is greater than that of other information. Evaluation method.

8. An apparatus comprising: acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; calculating an evaluation value relating to the asset value of the specific real estate according to the magnitude of the value indicated in the slope information; the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; In the calculation, individual evaluation information is generated according to the magnitude of a value indicated for each piece of information included in the gradient information, and the evaluation value is calculated based on the individual evaluation information; In the extraction, the difference between the maximum amount of change and the minimum amount of change of the ground surface in the area of ​​the specific real estate is extracted as the information regarding the slope. Evaluation method.

9. a process of acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; and calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information; the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; In the calculation process, individual evaluation information is generated according to the magnitude of a value indicated for each piece of information included in the gradient information, and the evaluation value is calculated based on the individual evaluation information; In the calculation process, the evaluation value is calculated so that the influence of the information relating to the tilt, among the information included in the tilt information, on the evaluation value is greater than that of other information. program.

10. A process of acquiring displacement information, which is information generated from data based on the results of observation of the ground surface by a synthetic aperture radar, and which is information regarding the displacement of the ground surface; extracting tilt information, which is information regarding the tilt of the specific real estate, based on the displacement information corresponding to the position of the specific real estate; and calculating an evaluation value relating to the asset value of the specific real estate in accordance with the magnitude of the value indicated in the slope information; the slope information includes at least one of information on the amount of change of the ground surface corresponding to the location of the specific real estate, information on the rate of change of the ground surface corresponding to the location of the specific real estate, and information on a slope indicating a difference in the change of the ground surface in the area of ​​the specific real estate; In the calculation process, individual evaluation information is generated according to the magnitude of a value indicated for each piece of information included in the gradient information, and the evaluation value is calculated based on the individual evaluation information; In the extraction process, the difference between the maximum amount of change and the minimum amount of change of the ground surface in the area of ​​the specific real estate is extracted as information regarding the slope. program.

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