Information processing device, information processing method, and program

Abstract

To reduce the burden of implementation required for sampling. [Solution] The information processing device includes a control unit that acquires tree height information showing the relationship between the position of each point in the target area and the tree height, which is the relative height of the target tree from the ground, determines the number of target trees to be sampled, which is the number of target trees to be surveyed in detail in the target area, based on the distribution of the tree heights in the target area shown by the tree height information, and outputs the determined number of samples.

Description

[Technical Field]

[0001] This disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] As the importance of environmental protection increases, there is growing demand for greenhouse gas emissions trading based on emissions and absorption of greenhouse gases, including carbon dioxide (CO2), from farms and forests. To facilitate such emissions trading, it is crucial to accurately measure and compile greenhouse gas emissions and absorption data from farms and forests.

[0003] Patent Document 1 describes a technique for evaluating the amount of greenhouse gas absorption in a target area based on satellite images taken from above of the area, including forests. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2012-14371 [Overview of the project] [Problems that the invention aims to solve]

[0005] As with the conventional configuration described above, when greenhouse gas absorption is evaluated based on satellite imagery, there is room for improvement in measurement accuracy. A commonly used method to achieve more accurate measurements is to sample target trees in target areas such as farms and forests, and then conduct detailed measurements of greenhouse gas absorption on the sampled trees. However, this sampling method is labor-intensive and burdensome to implement, and therefore has room for improvement.

[0006] The purpose of this disclosure is to reduce the burden of implementation required for sampling. [Means for solving the problem]

[0007] According to this disclosure, the information processing device is (1) Obtain tree height information that shows the relationship between the position at each point within the target area and the tree height, which is the relative height of the target tree from the ground. Based on the distribution of tree heights within the target area, as indicated by the tree height information, the number of trees to be sampled, which is the number of trees to be surveyed in detail within the target area, is determined. Output the determined number of samples. It is equipped with a control unit. Thus, since the information processing device determines the number of trees to sample based on tree height information, the user can perform detailed measurements on a sufficient number of target trees.

[0008] (2) In the information processing device of (1), The control unit may determine the number of trees to be sampled to be larger the greater the variation in the distribution of tree heights within the target area. In this way, the information processing device can more appropriately determine the number of trees to sample for detailed surveying by determining a larger value as the number of trees to sample when the variation in the distribution of tree height within the target area is greater.

[0009] (3)(2) In the information processing device, The control unit may determine the number of trees to be sampled based on the standard deviation of the tree height within the target area and a predetermined tolerance. In this way, the information processing device can determine the number of trees to be sampled based on the standard deviation of tree height within the target area and a predetermined tolerance, thereby determining a statistically appropriate number of trees as the sample size.

[0010] (4) In any of the information processing devices described in (1) to (3), The control unit, Based on the distribution of tree heights within the target area indicated by the tree height information, the area occupied by the target trees is obtained for each of several tree height ranges that define the range of tree heights. The greater the uniformity of the distribution of the area occupied by the acquired target trees for each height range, regardless of the height range, the larger the value of the sampling number may be determined. In this way, the information processing device can determine the number of trees to sample more appropriately by determining the number of trees to sample based on the bias in the distribution of area for each tree height range.

[0011] (5) In any of the information processing devices described in (1) to (4), The control unit, The determined number of samples is allocated to multiple height ranges that specify the range of tree heights according to the distribution of tree heights within the target area. The number of samples allocated to each of the aforementioned multiple tree height ranges may be output for each tree height range. In this way, the information processing device outputs the number of samples allocated to each tree height range according to the distribution of tree heights within the target area, allowing the user to easily understand the number of samples for each tree height range and conduct surveys.

[0012] (6) In any of the information processing devices described in (1) to (5), The control unit, The number of target trees determined for sampling are extracted from the target area. The location of the extracted target tree may also be output. In this way, the information processing device outputs the location of the target tree for detailed surveying, allowing the user to easily identify the tree to be sampled.

[0013] (7) In any of the information processing devices described in (1) to (6), The control unit may determine the number of samples such that the number per unit area of the target area is within a predetermined numerical range. In this way, the information processing apparatus can make the distance between sampled trees substantially constant by determining the number of samples such that the number per unit area is within a predetermined numerical range.

[0014] (8) In any of the information processing apparatuses according to (1) to (7), the control unit, divides the target area for tree sampling into a plurality of areas, and may determine the number of samples for each area with each of the plurality of areas as the target area. In this way, for a vast target area, the information processing apparatus divides the target area into a plurality of areas and determines the number of samples for each area, so that the user can know not only the number of samples for the entire target area but also the number of samples for each part of the target area.

[0015] (9) In any of the information processing apparatuses according to (1) to (8), the control unit, acquires a numerical surface model indicating the relationship between the position at each point in the target area and the elevation of the ground surface including the height of the target tree, acquires a numerical terrain model indicating the relationship between the position at each point in the target area and the elevation of the ground surface not including the height of the target tree, calculates, for each point in the target area, the difference between the elevation of the ground surface including the height of the target tree indicated by the numerical surface model and the elevation of the ground surface not including the height of the target tree indicated by the numerical terrain model, and may acquire the tree height information. In this way, the information processing apparatus can acquire accurate tree height information based on the numerical surface model and the numerical terrain model.

[0016] (10) In the information processing apparatus according to (9), The control unit may acquire the numerical surface model based on the parallax of several aerial photographs taken from different directions over the target area. In this way, the information processing device can acquire a numerical surface model using multiple aerial photographs.

[0017] In the information processing device (11)(9), The control unit may acquire the numerical surface model measured by an aerial laser for the target area. In this way, the information processing device can acquire a terrain model measured by an aerial laser and obtain accurate tree height information.

[0018] (12) In any of the information processing devices described in (1) through (11), The control unit, Based on the acquired tree height information, the timing of the measurement of the tree height is determined, and the tree height information is corrected to reflect the growth of the target tree. The number of trees to be sampled for the target area may be determined based on the distribution of tree heights within the target area, as indicated by the corrected tree height information. In this way, the information processing device determines the number of samples to be taken using tree height information corrected according to the growth of the trees, based on the timing and height of the tree height measurement. This allows the device to determine an appropriate number of samples to be taken, even if the tree height information is old, as it is tailored to the current tree height.

[0019] According to this disclosure, the program is (13) Operate the computer as one of the information processing devices described in (1) through (12). In this way, the program operates the information processing device to determine the number of trees to sample based on tree height information, allowing the user to perform detailed measurements on a sufficient number of target trees.

[0020] According to this disclosure, the information processing method is: (14) An information processing method for an information processing apparatus comprising a control unit, The control unit, To obtain tree height information that shows the relationship between the location of each point within the target area and the tree height, which is the relative height of the target tree from the ground, Based on the distribution of tree heights within the target area, as indicated by the tree height information, the number of trees to be sampled, which is the number of trees to be surveyed in detail within the target area, is determined. Output the determined number of samples, Includes. Thus, since the information processing method determines the number of trees to sample based on tree height information, users can perform detailed measurements on a sufficient number of target trees. [Effects of the Invention]

[0021] According to one embodiment of this disclosure, the burden of implementation required for sampling can be reduced. [Brief explanation of the drawing]

[0022] [Figure 1] This block diagram shows an example configuration of an information processing device according to one embodiment. [Figure 2] This flowchart shows an example of operation of an information processing device according to one embodiment. [Figure 3] This is a schematic diagram showing the relationship between numerical surface models, numerical topographic models, and tree height information. [Figure 4] This figure shows an example of a target area included in the target region. [Figure 5] This figure shows an example of an image of a target area divided into multiple target areas. [Figure 6] This figure shows an example of an image that displays the number of samples taken for each target area. [Figure 7] This figure shows an example of an image indicating the location of trees to be sampled in each target area. [Modes for carrying out the invention]

[0023] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. In each drawing, parts having the same configuration or function are denoted by the same reference numerals. In the description of this embodiment, redundant descriptions of the same parts may be omitted or simplified as appropriate.

[0024] (Information processing device 10) Figure 1 is a block diagram showing an example configuration of an information processing device 10 according to one embodiment. The information processing device 10 determines the number of trees to be sampled, which is the number of trees to be surveyed in detail in the target area, based on tree height information that shows the relationship between the position at each point in the target area and the tree height, which is the relative height of the target tree from the ground.

[0025] The information processing device 10 is one or multiple computer devices capable of communicating with each other. Specifically, the information processing device 10 may be any general-purpose electronic device such as a PC (Personal Computer), WS (Workstation), or tablet terminal, or it may be other dedicated electronic devices. As shown in Figure 1, the information processing device 10 comprises a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15.

[0026] The control unit 11 includes one or more processors. In one embodiment, the "processor" is a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited to these. The control unit 11 is communicatively connected to each component constituting the information processing device 10 and controls the operation of the entire information processing device 10.

[0027] The storage unit 12 includes, for example, any storage module such as an HDD (Hard Disk Drive), SSD (Solid State Drive), ROM (Read-Only Memory), and RAM (Random Access Memory). The storage unit 12 may function as, for example, main memory, auxiliary memory, or cache memory. The storage unit 12 stores any information used in the operation of the information processing device 10. For example, the storage unit 12 may store system programs, application programs, and various information received by the communication unit 13. The storage unit 12 is not limited to those built into the information processing device 10, but may also be an external database or an external storage module.

[0028] The communication unit 13 includes an optional communication module that can communicate with other devices such as network storage using any communication technology. The communication unit 13 may further include a communication control module for controlling communication with other devices, and a storage module for storing communication data such as identification information necessary for communication with other devices.

[0029] The input unit 14 includes one or more input interfaces that receive input operations from the operator and acquire input information based on the operator's operations. For example, the input unit 14 may be, but is not limited to, a physical key, a capacitive key, a pointing device, a touchscreen integrated with the display of the output unit 15, or a microphone that accepts voice input.

[0030] The output unit 15 includes one or more output interfaces that output information to the operator and notify the operator. For example, the output unit 15 is a display that outputs information as an image, or a speaker that outputs information as sound, but is not limited to these. Such a display may be, for example, a liquid crystal panel display or an organic EL (Electro Luminescence) display. At least one of the above-mentioned input unit 14 and output unit 15 may be configured integrally with the information processing device 10, or it may be provided as a separate unit.

[0031] The functions of the information processing device 10 can be realized by executing a computer program (program) according to this embodiment on the processor included in the control unit 11. In other words, the functions of the information processing device 10 can be realized by software. The computer program causes the computer to execute the processing steps included in the operation of the information processing device 10, thereby realizing the functions corresponding to the processing of each step. In other words, the computer program is a program that causes the computer to function as the information processing device 10 according to this embodiment. The computer program may be recorded on a recording medium that can be read by a computer. The program includes information used for processing by an electronic computer that is equivalent to a program. For example, data that is not a direct instruction to the computer but has the nature of defining the processing of the computer falls under the category of "information equivalent to a program".

[0032] Some or all of the functions of the information processing device 10 may be implemented by dedicated circuits included in the control unit 11. In other words, some or all of the functions of the information processing device 10 may be implemented by hardware. Furthermore, the information processing device 10 may be implemented by a single computer or by the cooperation of multiple computers.

[0033] In the configuration described above, the information processing device 10 acquires tree height information, which shows the relationship between the position at each point within the target area and the tree height, which is the relative height of the target tree from the ground. Based on the distribution of tree heights within the target area, as indicated by the tree height information, the information processing device 10 determines the number of target trees to be sampled, which is the number of trees to be surveyed in detail within the target area. The information processing device 10 outputs the determined number of samples.

[0034] Thus, since the information processing device 10 determines the number of trees to sample based on tree height information, the user can perform detailed measurements on a sufficient number of target trees to appropriately derive greenhouse gas emissions and absorption amounts. Therefore, with the information processing device 10, the user does not need to perform sampling indiscriminately, can perform the necessary sampling with minimal effort, and can reduce the burden of implementation required for sampling.

[0035] In this embodiment, the target trees are predetermined types of trees that are the target of sampling. Sampling is the process of conducting measurements on-site to estimate the amount of greenhouse gas absorbed and emitted from specific target trees. The information collected through sampling may include, but is not limited to, the tree species, height, diameter at breast height, age, and area of ​​the target trees.

[0036] (Example of operation) The operation of the information processing device 10 will be explained with reference to Figure 2. Figure 2 is a flowchart showing an example of the operation of the information processing device 10 shown in Figure 1. The operation of the information processing device 10 explained with reference to Figure 2 may correspond to one of the information processing methods of the information processing device 10. The operation of each step in Figure 2 may be performed based on control by the control unit 11 of the information processing device 10. Hereinafter, the information processing device 10 divides the target area into multiple target areas and determines the number of samples to be taken for each target area. If the area of ​​the target area is smaller than the reference value, the information processing device 10 may process the target area as a single target area.

[0037] In step S1, the control unit 11 acquires tree height information in the area to be sampled. The tree height information is information that shows the relationship between the position at each point within the area and the tree height, which is the relative height of the target tree from the ground. Specifically, the tree height information may show the relationship between the coordinates indicating the position within the area and the tree height.

[0038] The control unit 11 may acquire a numerical surface model and a numerical terrain model, and based on this information, acquire tree height information. The numerical surface model is information that shows the relationship between the position of each point in the target area and the elevation of the ground surface, including the height of the target trees. The numerical terrain model is information that shows the relationship between the position of each point in the target knowledge and the elevation of the ground surface, excluding the height of the target trees. The control unit 11 may acquire tree height information by calculating the difference between the elevation of the ground surface, including the height of the target trees, as shown by the numerical surface model, and the elevation of the ground surface, excluding the height of the target trees, as shown by the numerical terrain model, for each point in the target area.

[0039] Figure 3 is a schematic diagram showing the relationship between the numerical surface model, the numerical terrain model, and tree height information. In the example in Figure 3, there are multiple target trees 32 on the ground 31. As shown in Figure 3, the elevation 41 of the ground surface including the height of the target trees 32 indicates the height from the reference position of the upper contour of the target trees 32. The elevation 42 of the ground surface excluding the height of the target trees 32 indicates the height from the reference position of the ground 31. The tree height 43 of the target trees 32 corresponds to the difference between elevation 41 and elevation 42. Therefore, the control unit 11 may calculate the difference between the elevation 41 of the ground surface including the height of the target trees as shown by the numerical surface model and the elevation 42 of the ground surface excluding the height of the target trees as shown by the numerical terrain model for each point in the target area, and obtain tree height information. By configuring in this way, the information processing device 10 can obtain accurate tree height information based on the numerical surface model and the numerical terrain model.

[0040] The control unit 11 may acquire a numerical surface model and a numerical terrain model by any method. For example, the control unit 11 may acquire a numerical surface model based on the parallax of several aerial photographs taken from different directions over the target area. With this configuration, the information processing device 10 can acquire a numerical surface model using multiple aerial photographs. Alternatively, the control unit 11 may acquire a numerical surface model measured by an aerial laser for the target area. With this configuration, the information processing device 10 can acquire a terrain model measured by an aerial laser and obtain accurate tree height information. The control unit 11 may also use a numerical terrain model that has been surveyed in advance.

[0041] In step S2, the control unit 11 determines the number of trees to be sampled, which is the number of trees to be surveyed in detail within the target area, based on the distribution of tree heights within the target area, as indicated by the tree height information. Figure 4 shows an example of target areas 52 and 53 included in the target area 51.

[0042] For example, the control unit 11 may determine a larger number of trees to sample as the greater the variability in the distribution of tree heights within the target areas 52 and 53. More specifically, the control unit 11 may determine the number of trees to sample based on the standard deviation of tree heights within the target areas 52 and 53 and a predetermined tolerance. For example, the control unit 11 may analyze the tree height information, determine the location of the tree height maximum as the tree's location, and calculate the standard deviation of tree heights based on the tree height at each of the determined tree locations. Alternatively, the control unit 11 may calculate the standard deviation of tree heights based on the tree heights at multiple grid points located at predetermined distances (e.g., 5m to 20m) within the target area. By determining the number of trees to sample based on the standard deviation of tree heights within the target areas 52 and 53 and a predetermined tolerance, the information processing device 10 can determine a number of trees that is statistically appropriate.

[0043] For example, in the example of FIG. 4, assume that the variation in trees is greater in target area 52 than in target area 53. In this case, the control unit 11 may determine that the sampling number for target area 52 is 3 per 10,000 m 2 , 2 , 2 , 2 , 2 , , 2 , 2 , 2 , 2 and the sampling number for target area 53 is 1 per 10,000 m 2 .

[0044] Alternatively, the control unit 11 may acquire the area occupied by the target trees for each of a plurality of tree height ranges that specify the tree height range based on the distribution of the tree height within the target areas 52 and 53 indicated by the tree height information. The control unit 11 may determine a larger value as the sampling number as the distribution of the areas for each of the acquired tree height ranges occupied by the target trees is more uniform regardless of the tree height range. By determining the sampling number based on the bias in the distribution of the areas for each tree height range, the information processing device 10 can more appropriately determine the sampling number of the trees for which detailed surveying should be performed.

[0045] For example, in the example of FIG. 4, assume that in target area 52, the area of the tree height range of 10 m to 20 m is 300 m 2 , the area of the tree height range of 5 m to 9 m is 200 m 2 , the area of the tree height range of 2 m to 4 m is 200 m 2 , and the area of the tree height range of ~1 m is 100 m 2 . Assume that in target area 53, the area of the tree height range of 10 m to 20 m is 10 m 2 , the area of the tree height range of 5 m to 9 m is 500 m 2 , the area of the tree height range of 2 m to 4 m is 100 m<{0000009}>, and the area of the tree height range of ~1 m is 60 m 2 . In this case, the distribution of the areas for each of the tree height ranges occupied by the target trees in target area 52 is more uniform (in other words, smaller) than in target area 53. Therefore, for example, the control unit 11 may determine that the sampling number for target area 52 is 3 per 10,000 m 2 and the sampling number for target area 53 is 1 per 10,000 m 2 .

[0046] In step S3, the control unit 11 outputs the sampling number determined in step S2. Specifically, the control unit 11 may display the determined sampling number on the display unit 15 or store it in the storage unit 12.

[0047] The control unit 11 may display an image of the target area 51 on the display unit 15 and show the user the number of samples, etc., for each target area 52, 53 included in the target area 51.

[0048] Figure 5 shows an example of an image 60 of a target area 51 that is divided into multiple target areas. In Figure 5, image 60 is an image of the target area 51 for which greenhouse gas absorption and emission amounts are to be evaluated. Image 60 may be, for example, an aerial photograph or a map. In the example in Figure 5, the target area is divided into 5 × 4 = 20 target areas. Each target area has a square shape with equal east-west and north-south distances, but the shape of the target area is arbitrary. For example, the shape and size may differ for each target area. In Figure 5, image 61 shows one target area.

[0049] Figure 6 shows an example of image 60, which indicates the number of trees to be sampled for each target area. In Figure 6, image 60 of the target area includes image 63, which indicates the number of target trees to be sampled for each target area. The number of target trees to be sampled for each target area is determined by step S2 in Figure 2.

[0050] Thus, the information processing device 10 may divide the target area 51 for tree sampling into multiple areas, designate each of these areas as a target area, and determine the number of trees to sample for each area. For large target areas 51, the information processing device 10 divides the target area 51 into multiple areas and determines the number of trees to sample for each area, so that the user can know not only the total number of trees to sample in the entire target area 51, but also the number of trees to sample in each part of the target area 51. Furthermore, since the number of trees to sample in each target area is displayed along with an image 60 such as an aerial photograph or map of the target area 51, the user can easily grasp the location and number of trees to sample in each target area.

[0051] Furthermore, the information processing device 10 may select a number of target trees for each target area, determined for each area, and show their locations to the user. In this way, the information processing device 10 outputs the locations of target trees for detailed surveying, allowing the user to easily recognize the trees to be sampled.

[0052] Figure 7 shows an example of an image indicating the location of the target trees to be sampled in each target area. In Figure 7, image 60 includes image 65 which indicates the location of the target trees to be sampled.

[0053] For example, the information processing device 10 may analyze tree height information in each target area, determine the location of the tree's maximum height as the tree's location, randomly select the locations of the number of trees selected for the target area, and display those locations.

[0054] As described above, the information processing device 10 acquires tree height information, which shows the relationship between the position of each point within the target area and the tree height, which is the relative height of the target tree from the ground. Based on the distribution of tree heights within the target area, as indicated by the tree height information, the information processing device 10 determines the number of target trees to be sampled, which is the number of target trees to be surveyed in detail within the target area. The information processing device 10 outputs the determined number of sampled trees. In this way, because the information processing device 10 determines the number of sampled trees based on the tree height information, the user can perform detailed surveys on a necessary and sufficient number of target trees.

[0055] The information processing device 10 may also allocate the number of samples determined in step S2 to multiple height ranges that specify the range of tree heights according to the distribution of tree heights within the target area, and output the number of samples allocated to each height range for each height range. For example, the information processing device 10 may calculate the area occupied by each height range in the target area based on the distribution of tree heights within the target area, and determine the number of samples for each height range by proportionally distributing the determined number of samples by the area of ​​each height range. In this way, by outputting the number of samples allocated to each height range according to the distribution of tree heights within the target area for each height range, the information processing device 10 can easily understand the number of samples for each height range and carry out the survey.

[0056] Furthermore, the information processing device 10 may determine the number of trees to sample so that the number of trees per unit area of ​​the target area falls within a predetermined numerical range. In this way, the information processing device 10 can keep the distance between trees being sampled roughly constant by determining the number of trees to sample so that the number of trees per unit area falls within a predetermined numerical range.

[0057] Furthermore, the information processing device 10 may correct the tree height information to reflect the growth of the target trees, based on the measurement time of the tree height indicated by the acquired tree height information and the tree height itself. For example, depending on the type of target tree, the annual growth rate of the tree height and the upper limit of the tree height may be known in advance. If a certain amount of time has passed since the measurement of the tree height, the information processing device 10 may use this information to correct the tree height information. The information processing device 10 may determine the number of trees to sample for the target area based on the distribution of tree heights within the target area indicated by the corrected tree height information. In this way, the information processing device 10 can determine an appropriate number of trees to sample according to the current tree height, even if the measurement time of the tree height information is old, by using tree height information corrected according to the growth of the tree height, based on the measurement time of the tree height and the tree height.

[0058] This disclosure is not limited to the embodiments described above. For example, multiple blocks shown in the block diagram may be combined, or a single block may be divided. Multiple steps shown in the flowchart may be performed in parallel or in a different order, depending on the processing capacity of the device performing each step, or as necessary, instead of being performed in chronological order as described. Other modifications are possible without departing from the spirit of this disclosure.

[0059] Furthermore, for example, the configuration and operation of the information processing device 10 may be distributed among multiple computers that can communicate with each other. Also, for example, some or all of the components of the information processing device 10 may be provided on other devices such as a cloud server. [Contribution to the United Nations-led Sustainable Development Goals (SDGs)]

[0060] The SDGs have been proposed to realize a sustainable society. One embodiment of this invention is considered to be a technology that can contribute to "No. 9 - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation," among others. [Explanation of symbols]

[0061] 10: Information Processing Devices 11: Control Unit 12: Storage section 13: Communications Department 14: Input section 15: Output section 31: Ground 32: Target trees 41, 42: Elevation 43: Tree height 51: Target area 52, 53: Target area 60, 61, 63, 65: Images

Claims

1. We obtain tree height information that shows the relationship between the position of each point within the target area and the tree height, which is the relative height of the target tree from the ground. Based on the distribution of tree heights within the target area, as indicated by the tree height information, the number of trees to be sampled, which is the number of trees to be surveyed in detail within the target area, is determined. Output the determined number of samples. An information processing device equipped with a control unit.

2. The information processing apparatus according to claim 1, wherein the control unit determines a larger value as the number of trees to be sampled as the variation in the distribution of tree heights within the target area is greater.

3. The information processing apparatus according to claim 2, wherein the control unit determines the number of trees to be sampled based on the standard deviation of the tree height within the target area and a predetermined tolerance.

4. The control unit, Based on the distribution of tree heights within the target area indicated by the tree height information, the area occupied by the target trees is obtained for each of several tree height ranges that define the range of tree heights. The greater the uniformity of the distribution of the area occupied by the acquired target trees for each height range, regardless of the height range, the larger the value determined as the number of trees to sample. The information processing apparatus according to claim 1.

5. The control unit, The determined number of samples is allocated to multiple height ranges that specify the range of tree heights according to the distribution of tree heights within the target area. The number of samples allocated to each of the aforementioned multiple tree height ranges is output for each tree height range. The information processing apparatus according to any one of claims 1 to 4.

6. The control unit, The number of target trees determined for sampling are extracted from the target area. Output the location of the extracted target tree. The information processing apparatus according to any one of claims 1 to 4.

7. The information processing apparatus according to any one of claims 1 to 4, wherein the control unit determines the number of samples so that the number of samples per unit area of ​​the target area falls within a predetermined numerical range.

8. The control unit, The area to be sampled for trees is divided into multiple areas. Each of the aforementioned multiple areas is designated as the target area, and the number of samples is determined for each area. The information processing apparatus according to any one of claims 1 to 4.

9. The control unit, A numerical surface model is obtained that shows the relationship between the position at each point within the target area and the elevation of the ground surface, including the height of the target trees. A numerical terrain model is obtained that shows the relationship between the position of each point within the target area and the elevation of the ground surface, excluding the height of the target trees. The difference between the elevation of the ground surface including the height of the target trees as shown by the numerical surface model and the elevation of the ground surface excluding the height of the target trees as shown by the numerical topographic model is calculated for each point within the target area to obtain the tree height information. The information processing apparatus according to any one of claims 1 to 4.

10. The information processing apparatus according to claim 9, wherein the control unit acquires the numerical surface model based on the parallax of several aerial photographs taken from different directions over the target area.

11. The information processing apparatus according to claim 9, wherein the control unit acquires the numerical surface model measured by an aerial laser for the target area.

12. The control unit, Based on the acquired tree height information, the timing of the measurement of the tree height is indicated, and the tree height information is corrected to reflect the growth of the target tree. Based on the distribution of tree heights within the target area, as indicated by the corrected tree height information, the number of trees to be sampled for the target area is determined. The information processing apparatus according to any one of claims 1 to 4.

13. A program that causes a computer to operate as an information processing device according to any one of claims 1 to 4.

14. An information processing method for an information processing apparatus comprising a control unit, The control unit, To obtain tree height information that shows the relationship between the location of each point within the target area and the tree height, which is the relative height of the target tree from the ground, Based on the distribution of tree heights within the target area, as indicated by the tree height information, the number of trees to be sampled, which is the number of trees to be surveyed in detail within the target area, is determined. Output the determined number of samples, Information processing method for an information processing device, including

Images