Carbon sequestration amount detection method and system based on biological carbon sequestration technology

Abstract

The invention discloses a carbon sequestration amount detection method and system based on a biological carbon sequestration technology, which are applied to the technical field of intelligent detection, and the method comprises the steps: obtaining a to-be-detected image, a crown center point and a crown diameter; planning a sample forest land with a preset size from the forest land to be detected; calculating correlation factors according to the first total biomass, the average tree height, the crown center point and the crown diameter; and calculating a second total biomass of all trees in the to-be-detected forest land according to the correlation factors, and calculating a total carbon sequestration amount of the to-be-detected forest land according to the second total biomass. According to the method, the influence of the forest stand density on the biomass of the trees in the forest is fully considered by expanding the crown region and eliminating the overlapping region, so that the biomass calculation can be more effectively popularized to the whole forest from a small sample region, the overall calculation result is more accurate, and the calculation efficiency is improved. And the method is beneficial for measuring and calculating the forest carbon sequestration amount of large-scale artificial forests or natural forests.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to a carbon fixation detection method and system based on biological carbon fixation technology. Background Art

[0002] Detecting forest carbon sequestration can accurately quantify the carbon sequestration capacity of ecosystems, providing core data support for global climate change governance and carbon neutrality; at the same time, it can drive the development of carbon trading markets and green financial innovation, and guide the demarcation of ecological protection priority areas and decisions on the restoration of degraded forest land.

[0003] Currently, the biomass method is often used to calculate forest carbon sequestration. It measures the biomass of plants in the forest and then infers the carbon sequestration of different plants. In the prior art, Chinese patent application number 202210786681.3 discloses a method and device for evaluating forest carbon sequestration, oxygen release capacity, and benefits. The method collects images above the block to be tested and determines the boundaries of the block to be tested. The image is segmented using a watershed algorithm. The first sampling point is then determined based on the centroid of the unit segmentation area and the intersection of the lines connecting the adjacent centroids. The second sampling point is determined based on the global chromaticity gradient and the chromaticity difference of the semi-connected lines of each unit segmentation area. The third sampling point is also determined based on each unit segmentation area. The forest data is then surveyed based on the sampling points to determine the corresponding biomass. The grid divided by the image of the block to be tested is filled and interpolated based on the biomass. The carbon storage of the forest in the block to be tested is obtained based on the biomass of each tree species, and the total carbon storage of the forest is then obtained. Although the biomass of the entire forest can be estimated through data obtained from forest data surveys, the stand density in different areas of the forest will vary. If this difference is not fully considered, the estimation results will have large errors. Summary of the Invention

[0004] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of the present application is to provide a carbon fixation detection method and system based on biological carbon fixation technology.

[0005] In a first aspect, the embodiments of the present application provide a method for detecting carbon sequestration based on biological carbon sequestration technology, comprising: Acquire a remote sensing image of the forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is the average value of the crown major axis and the crown minor axis; Planning a sample forest land of a preset size from the forest land to be inspected; Obtaining the first total biomass of all trees in the sample forest and the average tree height of all trees, and calculating a correlation factor based on the first total biomass, the average tree height, the crown center point, and the crown diameter; The second total biomass of all trees in the forest land to be detected is calculated according to the relevant factors, and the total carbon sequestration amount of the forest land to be detected is calculated according to the second total biomass.

[0006] In a possible implementation, calculating the correlation factor includes: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

[0007] In a possible implementation, calculating the second total biomass of all trees in the forest to be detected according to the correlation factor includes: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

[0008] In a possible implementation, obtaining the first total biomass of all trees in the sample forest and the average height of all trees includes: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

[0009] In a possible implementation, calculating the total carbon sequestration amount of the forest land to be detected based on the second total biomass includes: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

[0010] In a second aspect, the present application also provides a carbon sequestration detection system based on biological carbon sequestration technology, comprising: an acquisition unit configured to acquire a remote sensing image of the forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is an average value of a major axis and a minor axis of the crown; a planning unit, configured to plan a sample forest land of a preset size from the forest land to be detected; a correlation unit configured to obtain a first total biomass of all trees in the sample forest and an average tree height of all trees, and calculate a correlation factor based on the first total biomass, the average tree height, the center point of the crown, and the crown diameter; The calculation unit is configured to calculate the second total biomass of all trees in the forest to be detected based on the relevant factors, and calculate the total carbon sequestration of the forest to be detected based on the second total biomass.

[0011] In a possible implementation, the correlation unit is further configured to: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

[0012] In a possible implementation, the computing unit is further configured to: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

[0013] In a possible implementation, the correlation unit is further configured to: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

[0014] In a possible implementation, the computing unit is further configured to: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: The carbon sequestration detection method and system of the present invention, based on biological carbon sequestration technology, fully considers the impact of stand density on the biomass of trees in the forest by expanding the crown area and eliminating overlapping areas, thereby more effectively extending biomass calculation from a small sample area to the entire forest. The overall calculation result is more accurate, which is conducive to the measurement of forest carbon sinks in large-scale artificial forests or natural forests. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 This is a schematic diagram of the steps of the method according to the embodiment of the present application; Figure 2 This is a schematic diagram of a specific detection scheme in an embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of illustration and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate the operations implemented according to some embodiments of the embodiments of the present application. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art, under the guidance of the contents of this application, can add one or more other operations to the flowchart, or remove one or more operations from the flowchart.

[0018] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0019] Please refer to Figure 1 , which is a flow chart of the carbon fixation amount detection method based on biological carbon fixation technology provided in an embodiment of the present invention. Furthermore, the carbon fixation amount detection method based on biological carbon fixation technology can specifically include the contents described in the following steps S1 to S4.

[0020] S1: Acquire a remote sensing image of a forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is the average value of the crown major axis and the crown minor axis; S2: Planning a sample forest land of a preset size from the forest land to be detected; S3: Obtaining a first total biomass of all trees in the sample forest and an average tree height of all trees, and calculating a correlation factor based on the first total biomass, the average tree height, the crown center point, and the crown diameter; S4: Calculate the second total biomass of all trees in the forest to be detected based on the relevant factors, and calculate the total carbon sequestration amount of the forest to be detected based on the second total biomass.

[0021] In the implementation of the present application, the image to be detected can be acquired through drone remote sensing or satellite remote sensing imagery. Based on this imagery, tree crown detection can be performed and the crown outline can be delineated. The lengths of the crown's major and minor axes can be calculated from the crown outline, and the crown diameter can be averaged to generate the crown diameter. The recognition of the tree crown in the image to be detected can be performed using existing algorithms.

[0022] For example, the open source DeepForest based on PyTorch is used to implement tree crown detection; first, the image to be detected with a resolution of 0.1m is grayed and then segmented into multiple images of 400×400 pixels and an overlap rate of 5%; the pixels in the segmented image are normalized so that the grayscale value is normalized to the interval [0,1]; multi-scale feature extraction is performed on the normalized image through the ResNet-50 network, and the multi-scale features are fused through FPN to form a feature map; the fused feature map is sent to the classification subnetwork and bounding box subnetwork provided by DeepForest for convolution operation and confidence evaluation is performed through the Softmax function. It should be understood that the existing tree crown detection algorithms are relatively rich, and the embodiment of the present application is explained using this as an example, and the corresponding tree crown center point and crown diameter can be obtained through other open source models such as the Detectree2 module, or other deep learning models such as convolutional neural networks. They should all be within the scope of the embodiment of the present application.

[0023] In the embodiment of the present application, in order to identify the biomass of a large sample from a small sample, it is necessary to plan a sample forest of preset size from the forest to be tested; the selection of the preset size and the location of the sample forest needs to be judged according to local conditions. Since the sample forest needs to be investigated in the field, it is necessary to select an area that is easy for people to reach, and the range is generally not more than 1 hectare.

[0024] In an embodiment of the present application, the first total biomass of all trees and the average height of all trees in the sample forest need to be measured, wherein the first total biomass represents the sum of the above-ground and underground biomass of all trees in the sample forest; it can be calculated in a univariate manner using the diameter at breast height, or in a binary manner using the diameter at breast height and the tree height. Based on the first total biomass, the average tree height, the center point of the crown and the crown diameter, a correlation factor can be generated to express the relationship between the detectable parameters and the biomass. Since the correlation factor is obtained through the sample forest, it can be adapted to the entire forest to be detected. At this time, the total biomass of the forest to be detected can be calculated based on the correlation factor. It should be understood that in the embodiment of the present application, a circle is used for proportional scaling rather than direct crown projection scaling. The main reason is that the crown projection is irregular in shape, and the overlapping area after scaling is relatively random, which is not as good as a circle in reflecting the reduction in biomass caused by the distance between trees; at the same time, the circle can be expanded in two ways, area and diameter, and the calculation method is simple and easy to implement.

[0025] In a possible implementation, calculating the correlation factor includes: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

[0026] When the embodiment of the present application is implemented, the product of the expanded first initial circle and the tree height ratio can be regarded as the virtual volume after the sum of all the biomass of the trees, including leaves, branches, trunks, bark, underground rhizomes and the space brought by the crown projection. The ratio of the first total biomass to the virtual volume can be regarded as the biomass density carried by the virtual volume of the sample forest; at the same time, since the sample forest is part of the forest to be tested, the biomass density can characterize the characteristics of the forest to be tested. After the first initial circle is expanded, the expanded first initial circles between adjacent trees will overlap, and the overlapping part can be regarded as the reduction in biomass due to the increase in tree density in the forest. Therefore, when calculating the coverage area, the overlapping part will only be covered and calculated once, thereby effectively eliminating the biomass height caused by the mutual interference of growth between adjacent trees. When the ratio of the covered area and the first total biomass to the average tree height is the same, the recorded ratio can be regarded as the expected ratio of the covered area and the ratio taking into account the forest density. For the same forest land to be tested, the expected ratio should also be the same, and the biomass of the forest land to be tested can be identified based on this.

[0027] In a possible implementation, calculating the second total biomass of all trees in the forest to be detected according to the correlation factor includes: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

[0028] When implementing the embodiments of the present application, once the expected ratio is obtained as a correlation factor, the second initial circles in the image to be detected can be proportionally enlarged using the correlation factor as a ratio. Only the overlapping coverage areas between the second initial circles will be calculated together, thereby eliminating the impact of forest density on biomass measurement. After obtaining the second total biomass of the forest to be detected, the total carbon sequestration can be calculated based on the carbon content coefficient of the tree species in the forest to be detected.

[0029] In a possible implementation, obtaining the first total biomass of all trees in the sample forest and the average height of all trees includes: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

[0030] When implementing the embodiments of the present application, for a sample forest plot, the average tree height can be obtained by measuring the tree heights on-site and averaging them. It should be understood that the tree height here refers to the height from the ground to the highest treetop; the diameter at breast height (DBH) refers to the diameter of the tree at 130 cm from the ground. The tree biomass can be calculated using the DBH. Alternatively, the DBH and tree height can be combined to assess the tree biomass. The sum of the biomass of each tree is the first total biomass.

[0031] In a possible implementation, calculating the total carbon sequestration amount of the forest land to be detected based on the second total biomass includes: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

[0032] When implementing the embodiments of this application, please refer to Figure 2This paper presents a specific measurement scheme for a Castanopsis fragrans forest in Luzhou. The data and calculation formulas are based on GB / T 43648-2024. First, crown detection is performed. UAV remote sensing images of the forest to be tested are acquired. After grayscale processing, the images are segmented into multiple 40m x 40m (400 pixels x 400 pixels) areas. Crown detection is then performed using DeepForest. A sample stand is then selected from the forest to be tested. In this example, the 40m x 40m area in the lower right corner is selected as the sample stand. This sample stand contains 88 Castanopsis fragrans trees. Field measurements of the Castanopsis fragrans trees in the sample stand are then conducted to determine their average tree height and diameter at breast height (DBH). The field measurements show an average tree height of 11.8m. By looking up the DBH table in GB / T 43648-2024, we can obtain the biomass corresponding to different DBH. For example, for a Castanopsis tree with a DBH of 12 cm, the corresponding forest species is Quercus III. The table shows that the biomass of this Castanopsis tree is 59.39 kg, of which 47.60 kg is aboveground biomass and 11.79 kg is belowground biomass. After calculating and summing the biomass of all 88 Castanopsis trees in the sample forest, the first total biomass is 14,328.43 kg, and the ratio of the first total biomass to the average tree height is 1,214.27. At this point, the first initial circle in the sample forest is drawn. The total area of ​​all first initial circles is 1,089.31 square meters, and the canopy density is 0.68, indicating a high canopy density environment. At this time, after the first initial circle is expanded proportionally, the expanded coverage area reaches 1214.27 square meters. At this time, the actual total area reached by the first initial circle is 1295.98 square meters. The difference between the total covered area and the actual total area reached is 81.71 square meters, that is, 6.3% of the area is considered to be lost due to high canopy density. At this time, the area expansion ratio is 1.19, and the diameter expansion ratio is 1.09. The area expansion ratio or the diameter expansion ratio can be used as the expected ratio, that is, the correlation factor. At this time, the second initial circle is constructed for the forest to be tested. The total area of ​​the second initial circle is 117,865.93 square meters. After expansion according to the area expansion ratio of 1.19, the total area is 140,260.46 square meters, and the coverage area is 130,442.22 square meters. The value multiplied by the average tree height is the second total biomass of 1,539,218.25 kg. From the table in GB / T 43648-2024, it can be obtained that the carbon content coefficient of the whole tree of oak is 0.4872. The total carbon sequestration of this forest to be tested is 749,907.13 kg.

[0033] In a second aspect, the present application also provides a carbon sequestration detection system based on biological carbon sequestration technology, comprising: an acquisition unit configured to acquire a remote sensing image of the forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is an average value of a major axis and a minor axis of the crown; a planning unit, configured to plan a sample forest land of a preset size from the forest land to be detected; a correlation unit configured to obtain a first total biomass of all trees in the sample forest and an average tree height of all trees, and calculate a correlation factor based on the first total biomass, the average tree height, the center point of the crown, and the crown diameter; The calculation unit is configured to calculate the second total biomass of all trees in the forest to be detected based on the relevant factors, and calculate the total carbon sequestration of the forest to be detected based on the second total biomass.

[0034] In a possible implementation, the correlation unit is further configured to: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

[0035] In a possible implementation, the computing unit is further configured to: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

[0036] In a possible implementation, the correlation unit is further configured to: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

[0037] In a possible implementation, the computing unit is further configured to: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

[0038] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0039] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0040] The units described as separate components may or may not be physically separated. As units, it is obvious that a person of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0041] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0042] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or grid device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0043] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for detecting carbon sequestration based on biological carbon sequestration technology, characterized in that: include: Acquire a remote sensing image of the forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is the average value of the crown major axis and the crown minor axis; Planning a sample forest land of a preset size from the forest land to be inspected; Obtaining the first total biomass of all trees in the sample forest and the average tree height of all trees, and calculating a correlation factor based on the first total biomass, the average tree height, the center point of the crown, and the crown diameter; The second total biomass of all trees in the forest land to be detected is calculated according to the relevant factors, and the total carbon sequestration amount of the forest land to be detected is calculated according to the second total biomass.

2. The method for detecting carbon sequestration based on biological carbon sequestration technology according to claim 1, characterized in that: Calculation of correlation factors includes: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

3. The method for detecting carbon fixation based on biological carbon fixation technology according to claim 2, characterized in that: Calculating the second total biomass of all trees in the forest to be detected according to the correlation factor includes: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

4. The method for detecting carbon sequestration based on biological carbon sequestration technology according to claim 1, characterized in that: Obtaining the first total biomass of all trees in the sample forest and the average tree height of all trees includes: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

5. The method for detecting carbon sequestration based on biological carbon sequestration technology according to claim 1, characterized in that: Calculating the total carbon sequestration amount of the forest land to be detected based on the second total biomass includes: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

6. The carbon sequestration detection system based on biological carbon sequestration technology is characterized by: include: an acquisition unit configured to acquire a remote sensing image of the forest to be detected as the image to be detected, and perform crown detection on the image to be detected to generate a crown center point and a crown diameter; the crown diameter is an average value of a major axis and a minor axis of the crown; a planning unit configured to plan a sample forest land of a preset size from the forest land to be detected; a correlation unit configured to obtain a first total biomass of all trees in the sample forest and an average tree height of all trees, and calculate a correlation factor based on the first total biomass, the average tree height, the center point of the crown, and the crown diameter; The calculation unit is configured to calculate the second total biomass of all trees in the forest to be detected based on the relevant factors, and calculate the total carbon sequestration of the forest to be detected based on the second total biomass.

7. The carbon sequestration detection system based on biological carbon sequestration technology according to claim 6 is characterized in that: The related unit is further configured to: The remote sensing image of the sample forest land is used as a sample image, and a first initial circle having a diameter equal to the crown diameter is drawn at the crown center point of each tree in the sample image; Expanding the first initial circles of all trees outward in equal proportion until the coverage area of ​​all expanded first initial circles in the sample image is equal to the ratio of the first total biomass to the average tree height; The current expansion ratio is used as the expected ratio, and the expected ratio is used as the correlation factor.

8. The carbon fixation detection system based on biological carbon fixation technology according to claim 7 is characterized in that: The computing unit is further configured to: Draw a second initial circle with a diameter equal to the crown diameter at the center point of the crown of each tree in the image to be detected; After enlarging all the second initial circles at the expected ratio, calculating the coverage areas of all the second initial circles in the image to be detected, and multiplying the coverage areas by the average tree height to form a second total biomass of the forest land to be detected; The total carbon sequestration amount of the forest land to be tested is calculated based on the second total biomass.

9. The carbon fixation detection system based on biological carbon fixation technology according to claim 6, characterized in that: The related unit is further configured to: Conducting on-site testing on all trees in the sample forest land, obtaining the diameters at breast height of all trees, and calculating the biomass of the trees based on the diameters at breast height; The biomass of all trees in the sample forest land is summed up to form the first total biomass.

10. The carbon fixation detection system based on biological carbon fixation technology according to claim 6, characterized in that: The computing unit is further configured to: Obtaining tree species information of the forest land to be detected, and obtaining the carbon content of the corresponding tree species information per unit biomass based on the tree species information; The total carbon sequestration amount is calculated based on the carbon content and the second total biomass.

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