KR101637969B1 - Forest visualization apparatus and method - Google Patents

Abstract

The forest visualization apparatus and method according to at least one embodiment of the present invention predicts a clinical change over time of a predetermined forest through a predetermined stand growth simulation and converts the three- The forest is visualized three-dimensionally by using the converted template in consideration of the topographic information on the forest and its predicted result, so that various changes of a predetermined forest can be efficiently visualized can do. At least one embodiment of the present invention also has the effect of facilitating the comprehension of the forest management to a variety of stakeholders surrounding the forest management with ease, even if the conflicts of interest between the stakeholders are mutually contradictory.

Description

[0001] Forest visualization apparatus and method [0002]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to forests, and more particularly, to measures for efficient management of forests.

Forest visualization techniques are effective tools to visualize forest management activities such as forest growth, forestation, commissioning, and logging, and their potential impacts. Recently, as the paradigm of 'sustainable forest management' has been settled, social demands for forest management activities are increasing. However, it is not easy to compromise the conflicting opinions of stakeholders with diverse interests, because long experience or very specialized knowledge is required to understand the plan or its effect. In this respect, the forest visualization technique is a way to enable various stakeholders to visually confirm the effects of the forest management plan. Particularly, participatory forest management forest management) is emerging as an effective alternative.

Conventional forest visualization techniques have visualized changes in forests through artificial editing of 2D images (e.g., photographs), such as 2D image and video editing models. However, such a forest visualization technique does not scientifically reflect detailed changes such as changing diameter, work width, water pipe width, and water rate that change while growing trees, and it shows a limitation in describing the appearance of the forest in a natural and consistent manner, As the visualization of the changes of the forests is limited to the fixed time point due to the use of the image, it also limits the viewpoint change of the observer, the change of the situation such as the light and the weather, and the scale change. In other words, the conventional forest visualization method has a limitation that it can describe only the temporal and limited forest change compared to the time and technical requirement for modeling.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a forest visualization apparatus capable of efficiently visualizing various forest changes without being limited to specific time and space.

Another technical problem to be solved by at least one embodiment of the present invention is to provide a forest visualization method capable of effectively visualizing various forest changes without being limited to specific time and space.

According to another aspect of the present invention, there is provided a computer-readable recording medium storing a computer program for efficiently visualizing various forest changes without being restricted to specific time and space. have.

According to one aspect of the present invention, there is provided a forest visualization apparatus comprising: a clinical change predicting unit for predicting a clinical change according to time of a predetermined forest through a predetermined stand growth simulation; A male pattern designing unit for converting a three-dimensional template previously prepared for each of the plurality of species in consideration of the predicted result; And a visualization unit for three-dimensionally visualizing the forest using the converted template in consideration of the topographic information on which the forest is located and the predicted result.

The visualization unit may model the forest three-dimensionally and render a modeling result. At this time, the visualization unit can model the forest using a Virtual Reality Modeling Language (VRML).

Here, the visualization unit may visualize the forest in terms of a stand-alone perspective or a landscape view.

Here, the clinical change predicting unit may predict a future entity list that is a result of updating the current entity list that indicates the attributes of one or more branches of the current forest, after a predetermined period of time has elapsed. At this time, the attribute may include at least one of a weight, a diameter of basal height (DBH), a total number, a labor, and a water percentage.

Wherein the clinical change predicting unit predicts a current object list indicating an attribute of one or more trees in a first specific area in the forest to a property of one or more trees in the second specific area in the forest, It can be predicted in consideration of the positional relationship between the second specific regions.

Here, the clinical change predicting unit may predict the future entity list considering the current entity list, the soil information of the forest, and the climate information of the region where the forest is located.

Here, the stall growth simulation may be prepared in advance as a growth model for each species.

Here, the clinical change predicting unit may predict a change with time of the attributes of the trees constituting the forest. At this time, the predicted result includes information on at least one of a gender, a diameter of basal height (DBH), a total number, a labor, and a water ratio.

Herein, the clinical change predicting unit predicts a clinical change of the forest according to at least one of a fixed stand and a certain species.

In this case, the male-type designing unit may determine an attribute value of each of the forests forming the forest in consideration of the predicted result, and convert the template according to the determined attribute value of each site.

Here, the three-dimensional template may be prepared using a plurality of two-dimensional texture images.

According to another aspect of the present invention, there is provided a forest visualization method including: predicting a clinical change according to time of a forest through a predetermined stand growth simulation; Transforming a three-dimensional template prepared for each species by considering the predicted result; And three-dimensionally visualizing the forest using the transformed template in consideration of the terrain information on which the forest is located and the predicted result.

Wherein the visualizing step may model the forest three-dimensionally and render the modeling result. In this case, the visualization may model the forest using a VRML (Virtual Reality Modeling Language).

Here, the visualizing step may visualize the forest in terms of stand or landscape.

Here, the predicting step may predict a future entity list that is a result of updating the current entity list that represents the attributes of one or more branches of the current forest to a predetermined time. At this time, the attribute may include at least one of ages, DBH, number of digits, effort, and water rate.

Wherein the clinical change predicting unit predicts a current object list indicating an attribute of one or more trees in a first specific area in the forest to a property of one or more trees in the second specific area in the forest, It can be predicted in consideration of the positional relationship between the second specific regions.

Here, the clinical change predicting unit may predict the future entity list considering the current entity list, the soil information of the forest, and the climate information of the region where the forest is located.

Here, the stall growth simulation may be prepared in advance as a growth model for each species.

Here, the predicting step may predict a temporal change in the attributes of the trees constituting the forest. At this time, the predicted result includes information on at least one of a gender, a diameter of basal height (DBH), a total number, a labor, and a water ratio.

Wherein the predicting step predicts a clinical change of the forest according to at least one of a fixed stand and a certain species.

Here, in the transforming step, the property value of each forest of the forest may be determined in consideration of the predicted result, and the template may be transformed according to the determined property value of each site.

Here, the three-dimensional template may be prepared using a plurality of two-dimensional texture images.

According to another aspect of the present invention, there is provided a computer-readable recording medium for predicting a clinical change over time of a predetermined forest through simulation of a predetermined stand growth; Transforming a three-dimensional template prepared for each species by considering the predicted result; And three-dimensionally visualizing the forest using the transformed template in consideration of the terrain information on which the forest is located and the predicted result.

The forest visualization apparatus and method according to at least one embodiment of the present invention predicts a clinical change over time of a predetermined forest through a predetermined stand growth simulation and converts the three- The forest is visualized three-dimensionally by using the converted template in consideration of the topographic information on the forest and its predicted result, so that various changes of a predetermined forest can be efficiently visualized can do.

At least one embodiment of the present invention also has the effect of facilitating the comprehension of the forest management to a variety of stakeholders surrounding the forest management with ease, even if the conflicts of interest between the stakeholders are mutually contradictory.

1 is a block diagram of a forest visualization apparatus in accordance with at least one embodiment of the present invention.
2 is a reference diagram for explaining the clinical change prediction unit 110 shown in FIG.
Figs. 3A and 3B are reference views for explaining the male-like designing unit 120 shown in Fig.
4 is a flow chart of a forest visualization method in accordance with at least one embodiment of the present invention.

For a better understanding of the present invention, operational advantages of the present invention and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings which illustrate preferred embodiments of the present invention and to the description of the attached drawings.

Hereinafter, a forest visualization apparatus and method according to at least one embodiment of the present invention will be described with reference to the accompanying drawings.

1 is a detailed block diagram of a forest visualization apparatus according to at least one embodiment of the present invention. The forest visualization apparatus includes a clinical change prediction unit 110, a male pattern design unit 120, a male type information storage unit 130, a terrain information storage unit 140, , And a visualization unit (150).

The clinical change predicting unit 110 predicts a clinical change over time of a predetermined forest through a predetermined stand growth simulation. As used herein, a forest refers to a specific forest, and specifically refers to a forest to be visualized to be visualized according to at least one embodiment of the present invention. In the present specification, a predetermined forest may mean one stand or may mean a plurality of stands.

The clinical change predicting unit 110 predicts changes of attributes of timber constituting a predetermined forest over time. Here, the attribute may mean at least one of the following: genders, diameter of basal height (DBH), number of bins per ha (ha), labor, water rate, and coordinate information. It means the age of the stands, that is, the number of years that a single stand has been established. DBH means the diameter of the tree measured at the height of the chest, and the number means the number of the root of the plant stem. , The term "height" refers to the height of a tree, and the ratio refers to the ratio of the projected area to the area of a unit area. The term "tree" refers to the branches and leaves of a tree. And coordinate information of each of the trees.

The clinical change predicting unit 110 predicts a clinical change of a forest according to at least one of a fixed stand and a certain species. That is, the predetermined forest can be determined according to the stand ID and the species ID input by the user. The stand ID refers to a specific forest and the species ID refers to a specific kind of tree, that is, a particular species, present in the forest. If there are a large number of species in the forest, the species ID means all of those species.

The information inputted to the clinical change predicting unit 110 is a current tree list, and the list of the individual trees includes information on each of the existing trees in the forest determined according to the stand ID, the species ID, the stand ID and the species ID Means a list expressing information on each attribute (for example, ages, DBH, number of bins per ha, effort, water rate, coordinate information).

The clinical change predicting unit 110 predicts a future (for example, after 50 years) list of objects by applying a predetermined stand growth simulation to the current object list. That is, the clinical change predicting unit 110 predicts a 'future object list', which is a result of updating the 'current object list' indicating the attributes of one or more trees in the present forest after a certain period of time has elapsed. More specifically, the clinical change predicting unit 110 predicts a general appearance of the future of the forest (for example, after 50 years) specified by the stand ID and the species ID of the current object tree list.

The clinical change prediction unit 110 may be configured to determine a current object list indicating an attribute of one or more trees in a first specific area in the forest as 'an attribute of one or more trees in the second specific area in the forest' The positional relationship between the specific region and the second specific region '. Here, the first specific area and the second specific area mean two different specific areas among a plurality of (compartmented) areas in the forest.

In addition, the clinical change predicting unit 110 may predict a list of future objects of the forest in consideration of the current object list of the predetermined forest, the soil information of the forest, and the climate information of the region where the forest is located.

Meanwhile, the simulated growth of stands is prepared in advance as a growth model for each species, and such a growth model can be developed in various forms. Fig. 2 is a diagram showing an example of the growth function and parameters of the pine wood in the central part of Korea. The growth model makes it possible to simulate the runtime of thinning and cutting at a certain point according to the purpose of the forest management, and at the same time, to predict the growth effect by the start.

The male pattern designing unit 120 converts a three-dimensional template previously prepared for each species by considering the predicted result of the clinical change predicting unit 110. The male pattern designing unit 120 determines the attribute values of each of the forests forming the predetermined forest in consideration of the predicted result, and converts the template according to the determined attribute value of each site.

A three-dimensional template (template) means a three-dimensional basic shape previously prepared for each species. As shown in FIG. 3A, a template 310 of pine tree, a template 320 of a maple tree, a template of dead wood 330, and a template 340 of a harvest tree may be provided in advance. The template 310 of the pine tree can be variously transformed as shown in FIG. 3B according to the determined result by considering the predicted value of the template 310 of the template 310 in consideration of the result predicted by the clinical change predictor 110 It is.

According to an embodiment of the present invention, a three-dimensional template may be prepared using a plurality of two-dimensional texture images.

On the other hand, as one of the attribute values of the parts, there are the attributes such as height, DBH, diameter of the part, density of the first branch, diffusion pattern, color, texture, Angle, detail spread pattern, and density. The attribute values of the leaf area include length, number, angle, leaf diffusion pattern, and density, and the property values of the bending and the broken part are several times, , And angle of deflection.

As a result, if the clinical change predicting unit 110 predicts a clinic at a specific time in the future of a specific forest, the male pattern designing unit 120 considers the site-specific attribute values of the forests in the forest, And transforming a previously prepared three-dimensional template according to the determined property values, thereby obtaining a three-dimensional shape reflecting the predicted result of each of the trees in the forest.

The male type information storage unit 130 stores information indicating the three-dimensional shape of each of the trees obtained by the male type design unit 120.

The terrain information storage unit 140 stores three-dimensional information of the visualization target forest, that is, the terrain where the predetermined forest is located. At this time, the 3D terrain information can be acquired by a GIS (geographic information system) system.

The visualization unit 150 visualizes the forest in a three-dimensional manner using the template converted by the male pattern design unit 120 in consideration of the topographic information on which the predetermined forest is located and the result predicted by the clinical change prediction unit 110 (visualization). Here, the terrain information in which a predetermined forest is located can be acquired from the terrain information storage unit 140, and the template converted by the designing unit 120 can be acquired from the shape information storage unit 130. [

The visualization unit 150 visualizes the forest in this specification, which means that the forest is modeled three-dimensionally and the modeling result is rendered. At this time, the visualization unit 150 can model the forest using VRML (Virtual Reality Modeling Language) in modeling the forest.

The visualization unit 150 may visualize a predetermined forest in terms of a stand or a landscape view. Here, a landscape can mean a plurality of stands.

4 is a flow chart of a forest visualization method in accordance with at least one embodiment of the present invention. Will be described below with reference to Fig.

The clinical change predicting unit 110 predicts a clinical change over time of a predetermined forest through simulating a predetermined stand growth (step 410).

In operation 420, the male-type designing unit 120 converts the three-dimensional template prepared for each of the plurality of species in consideration of the predicted result.

After step 420, the visualization unit 150 visualizes the forest in three dimensions using the template converted in operation 420, considering the topography information on which the forest is located and the predicted result (Operation 430).

The program for executing the forest visualization method according to at least one embodiment of the present invention described above may be stored in a computer readable recording medium. The computer readable recording medium may be a magnetic storage medium such as a ROM, a floppy disk, a hard disk, and the like, and an optical reading medium such as a CD-ROM, a DVD, (Digital Versatile Disc)).

The present invention has been described above with reference to preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (29)

A clinical change predicting unit for predicting a clinical change over time of a predetermined forest through a predetermined stand growth simulation;
A male pattern designing unit for converting a three-dimensional template previously prepared for each of the plurality of species in consideration of the predicted result; And
A visualization unit for three-dimensionally visualizing the forest using the transformed template in consideration of the terrain information on which the forest is located and the predicted result;
, Wherein the clinical change prediction unit
Predicting a future object list that is a result of updating a current object list that represents the attributes of one or more branches of the current forest,
Wherein a list of current entities representing attributes of one or more trees in a first particular area in the forest is selected from a list of attributes of one or more trees in a second particular area in the forest and a location of the first particular area and a location And predicts the future list of objects in consideration of the relationship. The apparatus of claim 1, wherein the visualization unit
Wherein the forest is three-dimensionally modeled and the modeling result is rendered. 3. The apparatus of claim 2, wherein the visualization unit
Wherein the forest is modeled using a VRML (Virtual Reality Modeling Language). The apparatus according to claim 1, wherein the visualization unit visualizes the forest from a standpoint perspective or a landscape viewpoint. delete The method of claim 1,
Wherein the data includes at least one of a gender, a gauge, a diameter of basal height (DBH), a number of digits, a height, and a water pipe ratio. delete 2. The apparatus according to claim 1, wherein the clinical change prediction unit
Wherein the future object list is predicted based on the current object list, the soil information of the forest, and the climate information of the region where the forest is located. 2. The forest visualization apparatus according to claim 1, wherein the stand growth simulation is previously provided as a growth model for each species. 2. The forest visualization apparatus according to claim 1, wherein the clinical change predicting unit predicts changes of attributes of the trees constituting the forest with time. 11. The method of claim 10, wherein the predicted result is
Wherein the information includes information about at least one of the age, gender, diameter of basal height (DBH), number of trees, labor, and water flow rate. 2. The apparatus according to claim 1, wherein the clinical change prediction unit
Wherein the forest visualization apparatus predicts the clinical change of the forest according to at least one of a fixed stand and a certain species. 2. The forest visualization system according to claim 1, wherein the male-like designing unit determines an attribute value of each of the forests forming the forest in consideration of the predicted result, and transforms the template according to the determined attribute value of each site. Device. The method according to claim 1,
Wherein the three-dimensional template is provided using a plurality of two-dimensional texture images. Predicting a clinical change over time of a predetermined forest through a predetermined stand growth simulation;
Transforming a three-dimensional template prepared for each species by considering the predicted result; And
Dimensionally visualizing the forest using the converted template in consideration of the topographic information on which the forest is located and the predicted result;
, The step of predicting
Predicting a future object list that is a result of updating a current object list that represents the attributes of one or more branches of the current forest,
Wherein a list of current entities representing attributes of one or more trees in a first particular area in the forest is selected from a list of attributes of one or more trees in a second particular area in the forest and a location of the first particular area and a location Wherein the future object list is predicted in consideration of the relation. 16. The method of claim 15, wherein visualizing
Wherein the forest is three-dimensionally modeled and the modeling result is rendered. 17. The method of claim 16, wherein the visualizing step
Wherein the forest is modeled using a VRML (Virtual Reality Modeling Language). 16. The method of claim 15, wherein the visualizing step visualizes the forest in stand-alone or landscape viewpoints. delete 16. The method of claim 15,
Wherein the method comprises at least one of a weight, a gauge, a diameter of basal height (DBH), a number of digits, a height, and a water pipe rate. delete 16. The method of claim 15,
Wherein the future object list is predicted based on the current object list, the soil information of the forest, and the climate information of the region where the forest is located. 16. The forest visualization method according to claim 15, wherein the stand growth simulation is prepared in advance as a growth model for each species. 16. The forest visualization method according to claim 15, wherein the predicting step predicts a temporal change of attributes of the trees constituting the forest. 25. The method of claim 24, wherein the predicted result is
Wherein the information includes information about at least one of the age, gender, diameter of basal height (DBH), number of trees, effort, and water percentage. 16. The method of claim 15,
Wherein a forest change is predicted according to at least one of a fixed stand and a certain species. 16. The method according to claim 15, wherein the transforming step comprises the steps of: determining an attribute value of each site of each forest forming the forest in consideration of the predicted result, and converting the template according to the determined site- Visualization method. 16. The method of claim 15,
Wherein the three-dimensional template is provided using a plurality of two-dimensional texture images. A computer-readable recording medium storing a computer program for causing a computer to execute the method according to any one of claims 15 to 18, 20, 22 to 28.

Images