KR-20260063789-A - carbon deposits estimation method and device using satellite and aerial image

KR20260063789AKR 20260063789 AKR20260063789 AKR 20260063789AKR-20260063789-A

Abstract

The present invention comprises: a sample area lidar image acquisition step (S110) in which a sample area lidar image acquisition unit (110) acquires a sample area lidar image by taking a tree image of a sample area (Area 1) from the ground; a tree height and breast height measurement step (S120) in which a sample area tree height and breast height measurement unit (120) actually measures the tree height and breast height (average diameter) of a tree in the sample area; and a sample area carbon storage amount calculation step (S130) in which a sample area carbon storage amount calculation unit (130) calculates the sample area carbon storage amount (C_1) based on the tree height and breast height volume measured in the sample area; A training step (S140) of a terrestrial lidar image-based carbon storage estimation model (M1, 140), wherein the terrestrial lidar image-based carbon storage estimation model (M1, 140) learns the correlation between the terrestrial lidar image of a tree and the carbon storage amount (C_1) by using the sample area lidar image (V_1) as input data (training data) and the sample area carbon storage amount (C1) as dependent data (teacher data); and a measured area lidar image acquisition step (S150), wherein the measured area lidar image acquisition unit (150) acquires the measured area lidar image (V_21) by capturing an image of a tree in the measured area (Area 2) from the ground; The present invention relates to a method for estimating forest carbon storage using satellite imagery and aerial imagery, characterized by comprising: a carbon storage estimation step (S160) in which the above-described terrestrial lidar image-based carbon storage estimation model (M1) estimates the sample breast height volume of the above-described area using the above-described actual area lidar image (V_21) as input data and estimates the carbon storage amount (C_2) of the above-described area.

Inventors

유대상

Assignees

(주)엘컴텍

Dates

Publication Date: 20260507
Application Date: 20241031

Claims (3)

A sample area lidar image acquisition step (S110) in which a sample area lidar image acquisition unit (110) acquires a sample area lidar image by taking a tree image of the sample area (Area 1) from the ground; A height and breast height measurement step (S120) in which a sample area height and breast height measurement unit (120) actually measures the height and breast height (average diameter) of a tree in the sample area; A sample area carbon storage amount calculation unit (130) calculates the sample area carbon storage amount (C_1) based on the breast height volume measured in the sample area, a sample area carbon storage amount calculation step (S130); A terrestrial lidar image-based carbon storage estimation model (M1, 140) learns the correlation between the terrestrial lidar image and the carbon storage amount (C_1) for trees by using the sample area lidar image (V_1) as input data (training data) and the sample area carbon storage amount (C1) as dependent data (teacher data), and a terrestrial lidar image-based carbon storage estimation model (M1) training step (S140); A measurement area lidar image acquisition step (S150) in which a measurement area lidar image acquisition unit (150) acquires a measurement area lidar image (V_21) by taking a tree image of the measurement area (Area 2) from the ground; A method for estimating forest carbon storage using satellite and aerial images, characterized by comprising: a step (S160) for estimating carbon storage in a measured area, wherein the above-described terrestrial lidar image-based carbon storage estimation model (M1) estimates the sample breast height volume of the measured area using the above-described actual area lidar image (V_21) as input data and estimates the carbon storage in the measured area (C_2).
In Article 1, A measurement area aerospace image acquisition unit (210) acquires a measurement area aerospace image (V_22) by taking a tree image of the measurement area (Area 2) from space, and a measurement area aerospace image acquisition step (S210); An aerospace image-based carbon storage estimation model (M2, 240) learns the correlation between the aerospace image and carbon storage for trees by using the actual area aerospace image (V_22) as input data and the actual area carbon storage (C_2) estimated by the terrestrial lidar image-based carbon storage estimation model (M1) as dependent data (teacher data), and an aerospace image-based carbon storage estimation model (M2) learning step (S240); A target area aerospace image acquisition step (S250) in which a target area aerospace image acquisition unit (250) acquires an aerospace image (V_3) of trees in a target area (Area 3); A method for estimating forest carbon storage using satellite imagery and aerial imagery, characterized by further comprising: a target area carbon storage estimation step (S260) in which the above aerospace imagery-based carbon storage estimation model (M2) estimates the target area carbon storage (C_3) using the above target area aerospace imagery (V_3) as input data.
In paragraph 2, 100 × Sample Area (Area 1) Area < Measured Area (Area 1) A method for estimating forest carbon storage using satellite and aerial imagery, characterized in that 100 × actual measurement area < target area (Area 3).

Description

Method and device for estimating forest carbon storage using satellite and aerial image The present invention relates to a method for estimating forest carbon storage using satellite imagery and aerial imagery. Registered Patent No. 10-1390668, a forest soil carbon model, comprises a method for modeling forest soil carbon using stand biomass, dead organic matter production, and dead organic matter decomposition amount, the method including: a step of calculating the carbon content within the trees using the change in stand biomass caused by the volume change of the tree trunk according to the age of the tree; a step of calculating the carbon content within the first dead organic matter using the production of the dead organic matter according to the tree mortality rate; and a step of calculating the carbon content within the second dead organic matter using the decomposition amount of the dead organic matter, wherein the step of calculating the carbon content within the trees includes: a step of calculating the trunk mass per unit area using the trunk volume per unit area and the basic wood density; and a step of calculating the mass per unit area for each part of branches, leaves, taproots, and fine roots using the trunk mass per unit area and a conversion factor. A method is disclosed comprising the step of calculating the amount of carbon in the wood using the mass per unit area, area, and carbon concentration in the stand biomass for each of the above parts, wherein the stem volume per unit area is calculated using the site index and the age of the tree. The increase in greenhouse gases such as carbon dioxide ( CO₂ ), methane (CH₄ ) , and nitrous oxide ( N₂O ) leads to global warming. Forests absorb carbon dioxide through photosynthesis, acting as a carbon dioxide sink, and also serve as an oxygen source by releasing oxygen. The absorbed carbon dioxide is converted into glucose, and the carbon is stored in the trees. Chemical formula of photosynthesis As such, forests serve as carbon sinks, but they also increase carbon dioxide ( CO2 ) greenhouse gases by releasing stored carbon due to forest destruction and degradation caused by factors such as reduced forest area, logging, forest cultivation, and forest fires. In relation to global warming caused by the increase in greenhouse gases, forest management, and carbon emission rights, there is a growing need to measure the amount of carbon stored in forests. Traditionally, forest inspectors measured and calculated carbon reserves through direct field surveys. However, conventional technology had limitations, such as the difficulty of measuring large areas based solely on field surveys, and a decrease in the accuracy of carbon storage estimation when carbon reserves measured in a specific region were applied uniformly to other areas, as the characteristics of the trees were not taken into account. FIG. 1 is an overall configuration diagram of a forest carbon storage estimation device using satellite imagery and aerial imagery according to an embodiment of the present invention. FIG. 2 is a flowchart of a method for estimating forest carbon storage using satellite imagery and aerial imagery according to an embodiment of the present invention. FIG. 3 is a flowchart of a method for estimating forest carbon storage using satellite imagery and aerial imagery according to an embodiment of the present invention. FIG. 4 is an explanatory diagram of the estimation target area and rectangular segmented image of the method for estimating forest carbon storage using satellite imagery and aerial imagery according to an embodiment of the present invention. FIG. 5 is a heatmap image of the carbon reserve estimation result by the method for estimating forest carbon storage using satellite imagery and aerial imagery according to an embodiment of the present invention. FIG. 6 is an explanatory diagram of an artificial intelligence model learning method based on a method for estimating forest carbon storage using satellite imagery and aerial imagery according to an embodiment of the present invention. Hereinafter, an apparatus for estimating forest carbon reserves using artificial intelligence according to an embodiment of the present invention will be described in detail with reference to the attached drawings. FIG. 1 is an overall configuration diagram of an apparatus for estimating forest carbon reserves using satellite imagery and aerial imagery according to an embodiment of the present invention; FIG. 2 is a flowchart of a method for estimating forest carbon reserves using satellite imagery and aerial imagery according to an embodiment of the present invention; FIG. 3 is a flowchart of a method for estimating forest carbon reserves using satellite imagery and aerial imagery according to an embodiment of the present invention; FIG. 4 is an explanatory diagram of the estimation target area and rectangular segmented image of the method for estimating forest carbon reserves u