Method for measuring plant carbon sequestration based on unmanned aerial vehicle oblique photography technology

Abstract

The application discloses a plant carbon fixation amount measuring and calculating method based on a UAV oblique photography technology, and comprises the following steps: 1, collecting and scanning image data of a plant scene; 2, obtaining a vector model of the plant scene by adopting an oblique photography technology to vectorize the collected image data and derive a vector model; 3, screening and identifying different plants in the vector model; 4, identifying and screening different parts of the plant tissues; 5, calculating the volume of the different parts of the plant tissues; and 6, calculating the carbon content of the plant. The application is based on a UAV and an oblique photography technology, and is assisted by a ground shooting technology, so that accurate analysis of the carbon fixation amount of arbor greening resources can be realized, timely and fast data comparison can be provided, and the application can also be used as an important review method for calculating the carbon fixation amount in the field of greening carbon sink.

Description

Technical Field

[0001] This invention relates to the field of carbon sequestration management and prediction technology for green resources, and in particular to a method for measuring plant carbon sequestration based on UAV oblique photography technology. Background Technology

[0002] As society places increasing emphasis on the environment, the requirements for carbon emissions are also increasing. The role of urban green space systems in "low-carbon cities" is mainly reflected in carbon sequestration and oxygen release, as well as reducing the carbon emissions of the parks themselves.

[0003] In existing technologies, the main method for analyzing raw tree carbon sequestration data is to use drones to photograph large areas of plant groups, then perform GIS modeling based on the scanned data, and finally estimate the daily average carbon sequestration over a large area by estimating the total amount of greening.

[0004] However, existing technologies still have the following problems that cannot be overcome in practical applications:

[0005] 1. The limited shooting methods result in incomplete data.

[0006] Current technology primarily uses top-down photography to capture images of plant targets, resulting in a continuous view of the tree canopy's top surface. This data is then combined with models of different tree shapes to extrapolate the overall data. However, due to significant differences in the individual shapes of different plants, top-down photography alone results in insufficiently accurate data. Consequently, a large amount of model data for plant stems and leaves must be obtained through extrapolation, leading to relatively incomplete data.

[0007] 2. Low shooting accuracy leads to inaccurate statistical data.

[0008] Current technology, due to limitations in shooting angles, makes it impossible to accurately measure the branches (stems) and roots of plants, resulting in inaccurate statistical data.

[0009] 3. The generated carbon sequestration data is general. Current technology cannot classify and statistically analyze the carbon sequestration of specific varieties, resulting in relatively general measurement data.

[0010] Therefore, how to accurately analyze the carbon sequestration of arbor greening resources in order to provide timely and rapid data comparison has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0011] In view of the above-mentioned deficiencies of the prior art, the present invention provides a method for calculating plant carbon sequestration based on UAV oblique photography technology. The purpose is to achieve accurate data analysis of carbon sequestration of arbor greening resources based on UAV and oblique photography technology and assisted by ground photography technology, so as to provide timely and quick data comparison, and at the same time, it can also serve as an important verification method for carbon sequestration calculation in the field of greening carbon sink.

[0012] To achieve the above objectives, this invention discloses a method for calculating plant carbon sequestration based on UAV oblique photogrammetry technology, comprising the following steps:

[0013] Step 1: Collect and scan image data of the plant scene;

[0014] Step 2: Use oblique photogrammetry to vectorize the collected image data to obtain a vector model of the plant scene;

[0015] Step 3: Filter and identify the different plants in the vector model;

[0016] Step 4: Identify and screen the tissues of different parts of the plant;

[0017] Step 5: Calculate the volume of the tissues in different parts of the plant;

[0018] Step 6: Calculate the carbon content of the plant.

[0019] Preferably, step 1 is as follows:

[0020] Step 1.1: Select the plant scene to be surveyed, plan the measurement range and formulate the measurement path;

[0021] Step 1.2: Use a drone scanning device to collect and scan the plant scene, and at the same time take ground photos to obtain all the image data required for the vector model;

[0022] Step 1.3: Collect the image data from all angles.

[0023] More preferably, in step 1.1, the area of ​​a unit surveyed at one time is 1000㎡.

[0024] More preferably, step 2 is as follows:

[0025] Step 2.1: Import the image data into the oblique photography software;

[0026] Step 2.2: The image data is modeled using the oblique photogrammetry software to obtain the vector model.

[0027] More preferably, the oblique photography software mentioned in step 2.2 is ContextCapture software;

[0028] Modeling the image data refers to exporting a high-precision vectorized model of the plant scene using the image data obtained by the UAV scanning device and the image data obtained by ground photography.

[0029] More preferably, step 3 is as follows:

[0030] Step 3.1: Remove non-plant interference elements from the vector model;

[0031] Step 3.2: Filter and distinguish each plant in the vector model;

[0032] Step 3.3: Based on the screening and differentiation results, each plant is independently identified.

[0033] More preferably, the non-plant disturbance elements include stones, weeds and / or ground cover;

[0034] Each plant is classified as either a tree or a large shrub and is individually identified.

[0035] More preferably, step 4 is as follows:

[0036] Step 4.1: Independently identify and classify the volume of leaves and trunks, plant height, and diameter at breast height of different plants;

[0037] Step 4.2: Calculate the root volume data of the plant based on the height above the ground, diameter at breast height and corresponding volume of the different plants, specifically according to the root-to-shoot ratio of the different plants.

[0038] Step 4.3: Based on the results of Step 4.2, use the model volume calculation plugin, namely Quantifier Pro software, to perform targeted volume calculations for the different tissues of each plant, namely the volume of leaves, trunk, branches, and roots.

[0039] More preferably, step 5 is as follows:

[0040] Step 5.1: Merge and statistically analyze the volume data of different tissues of the plant that are independently identified as being of the same type;

[0041] Step 5.2: Generate categorized volume data including all the tissues based on the statistical results.

[0042] More preferably, step 6 is as follows:

[0043] Step 6.1: Import the classification volume data of all the tissues mentioned;

[0044] Step 6.2: Based on the classification volume data of all the tissues, and using the seasonal average moisture content data of different tissues of different plants, calculate the dry matter content of different tissues of all the plants;

[0045] Step 6.3: Calculate the carbon content of all the plants based on the hydrocarbon content of the different dry matter contents.

[0046] The beneficial effects of this invention are:

[0047] This invention utilizes drones and oblique photography techniques in combination, employing more intelligent and flexible methods to collect and scan image data. Based on drones and oblique photography techniques, and supplemented by ground photography techniques, it enables accurate analysis of carbon sequestration data of arbor greening resources, providing timely and rapid data comparison. It can also serve as an important verification method for calculating carbon sequestration in the field of greening carbon sinks.

[0048] The following will further explain the concept, specific structure, and technical effects of the present invention in conjunction with the accompanying drawings, so as to fully understand the purpose, features, and effects of the present invention. Attached Figure Description

[0049] Figure 1 The following is a flowchart illustrating the execution of an embodiment of the present invention.

[0050] Figure 2 The following is a flowchart illustrating the execution of step 1 in one embodiment of the present invention.

[0051] Figure 3 The following is a flowchart illustrating the execution of step 2 in one embodiment of the present invention.

[0052] Figure 4 The following is a flowchart illustrating the execution of step 3 in one embodiment of the present invention.

[0053] Figure 5 The following is a flowchart illustrating the execution of step 4 in one embodiment of the present invention.

[0054] Figure 6 The following is a flowchart illustrating the execution of step 5 in one embodiment of the present invention.

[0055] Figure 7 The following is a flowchart illustrating the execution of step 6 in one embodiment of the present invention. Detailed Implementation

[0056] Example: Figure 1 As shown, the method for calculating plant carbon sequestration based on UAV oblique photography technology includes the following steps:

[0057] Step 1: Collect and scan image data of the plant scene;

[0058] Step 2: Use oblique photogrammetry to vectorize the collected image data to obtain a vector model of the plant scene;

[0059] Step 3: Filter and identify different plants in the vector model;

[0060] Step 4: Identify and screen tissues from different parts of the plant;

[0061] Step 5: Calculate the volume of tissues in different parts of the plant;

[0062] Step 6: Calculate the carbon content of the plant.

[0063] like Figure 2 As shown, in some embodiments, step 1 is specifically as follows:

[0064] Step 1.1: Select the plant scene to be surveyed, plan the measurement range and formulate the measurement path;

[0065] Step 1.2: Use drone scanning equipment to collect and scan the plant scene, and at the same time, take ground photos to obtain all the image data required for the vector model;

[0066] Step 1.3: Collect image data from all angles.

[0067] In some embodiments, in step 1.1, the area of ​​a single survey unit is 1000㎡.

[0068] like Figure 3 As shown, in some embodiments, step 2 is specifically as follows:

[0069] Step 2.1: Import image data into the oblique photography software;

[0070] Step 2.2: Use oblique photogrammetry software to model the image data to obtain a vector model.

[0071] In some embodiments, the oblique photography software in step 2.2 is ContextCapture software;

[0072] Modeling image data refers to exporting a high-precision vector model of a plant scene from image data obtained by drone scanning equipment and image data obtained by ground photography.

[0073] like Figure 4 As shown, in some embodiments, step 3 is specifically as follows:

[0074] Step 3.1: Remove non-plant interference elements from the vector model;

[0075] Step 3.2: Filter and distinguish each plant in the vector model;

[0076] Step 3.3: Based on the screening and differentiation results, each plant is individually identified.

[0077] In some embodiments, non-plant disturbance elements include stones, weeds, and / or ground cover;

[0078] Each plant is distinguished as either a tree or a large shrub and is individually labeled.

[0079] like Figure 5 As shown, in some embodiments, step 4 is specifically as follows:

[0080] Step 4.1: Independently identify and classify the volume of leaves and trunks, plant height, and diameter at breast height of different plants;

[0081] Step 4.2: Calculate the root volume data of different plants based on their height above ground, diameter at breast height (DBH), and corresponding volume. Specifically, calculate the root-to-shoot ratio of different plants.

[0082] Step 4.3: Based on the results of Step 4.2, use the model volume calculation plugin, namely Quantifier Pro software, to perform targeted volume calculations for the different tissues of each plant, namely the volume of leaves, trunk, branches, and roots.

[0083] like Figure 6 As shown, in some embodiments, step 5 is specifically as follows:

[0084] Step 5.1: Merge and statistically analyze the volume data of different tissues of plants that are independently identified as the same type;

[0085] Step 5.2: Generate categorized volume data including all tissues based on the statistical results.

[0086] like Figure 7 As shown, in some embodiments, step 6 is specifically as follows:

[0087] Step 6.1: Import the classification volume data of all tissues;

[0088] Step 6.2: Based on the classification volume data of all tissues, and using the seasonal average moisture content data of different tissues of different plants, calculate the dry matter content of different tissues of all plants.

[0089] Step 6.3: Calculate the carbon content of all plants based on the hydrocarbon content of different dry matter contents.

[0090] Taking camphor as an example, according to the data, the average seasonal water content of the roots, stems and leaves of a normal camphor tree is 34%, so its dry matter content is 66%.

[0091] The molar ratio (molar ratio) of different types of hydrocarbons (such as alkanes, phenols, alkenes, and camphor ethers) can be calculated based on the volume of the dry matter after dehydration. The specific amount of carbon in each substance can be calculated using the molecular formula, and thus the mass of carbon can be calculated.

[0092] The principle of this invention is as follows:

[0093] 1. Using "visible" carbon sequestration measurement technology – based on UAV scanning and oblique photography technology to export vectorized models, and by screening and analyzing the volume data of different plants, combining known dry matter content and carbon compound ratio data of plants to reverse deduce and accurately measure the carbon sequestration of plants.

[0094] 2. Data acquisition using UAVs – vectorization model export using oblique photogrammetry – plant classification – plant tissue classification – volume data calculation – carbon content measurement of corresponding materials and output of results.

[0095] 3. In the analysis of raw tree carbon sequestration data, the difference from the existing methods that mainly rely on specific closed-environment experiments is that data on the absorption of carbon dioxide and release of oxygen by trees are collected and analyzed. With the popularization of oblique photography technology, the survey work can be gradually replaced by intelligent methods.

[0096] This invention is based on oblique photography technology to analyze the carbon sequestration of arbor greening resources, so as to provide timely and rapid measurement data, and can also serve as an important verification method for carbon sequestration calculation in the field of arbor greening.

[0097] 4. This invention can be widely applied to the management of green carbon resources such as forestry carbon sinks and carbon sequestration. Combined with a complete set of software and hardware equipment, it is expected to generate huge management and scientific research benefits in the field of urban greening carbon sequestration management.

[0098] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A method for calculating plant carbon sequestration based on UAV oblique photogrammetry; characterized in that, Includes the following steps: Step 1: Collect and scan image data of the plant scene; Step 1.1: Select the plant scene to be surveyed, plan the measurement range and formulate the measurement path; Step 1.2: Use a drone scanning device to collect and scan the plant scene, and at the same time, take ground photos to obtain all the image data required for the vector model; Step 1.3: Collect the image data from all angles; Step 2: Use oblique photogrammetry to vectorize the collected image data to obtain a vector model of the plant scene; Step 2.1: Import the image data into the oblique photography software; Step 2.2: Use the oblique photogrammetry software to perform modeling processing on the image data to obtain the vector model; Step 3: Filter and identify the different plants in the vector model; Step 3.1: Remove non-plant interference elements from the vector model; Step 3.2: Filter and distinguish each plant in the vector model; Step 3.3: Based on the screening and differentiation results, each plant is individually identified; Step 4: Identify and screen the tissues of different parts of the plant; Step 4.1: Independently identify and classify the volume of leaves and trunks, plant height, and diameter at breast height of different plants; Step 4.2: Calculate the root volume data of the plant based on the height above the ground, diameter at breast height and corresponding volume of the different plants, specifically according to the root-to-shoot ratio of the different plants. Step 4.3: Based on the results of Step 4.2, use the model volume calculation plugin, namely Quantifier Pro software, to perform targeted volume calculations for the different tissues of each plant, namely the volume of leaves, trunk, branches, and roots. Step 5: Calculate the volume of the tissues in different parts of the plant; Step 6: Calculate the carbon content of the plant.

2. The method for calculating plant carbon sequestration based on UAV oblique photography technology according to claim 1, characterized in that, In step 1.1, the area of ​​a single survey unit is 1000㎡.

3. The method for calculating plant carbon sequestration based on UAV oblique photography technology according to claim 1, characterized in that, The oblique photography software mentioned in step 2.2 is ContextCapture software; Modeling the image data refers to exporting a high-precision vectorized model of the plant scene using the image data obtained by the UAV scanning device and the image data obtained by ground photography.

4. The method for calculating plant carbon sequestration based on UAV oblique photography technology according to claim 1, characterized in that, The non-plant disturbance elements include stones, weeds and / or ground cover; Each plant is classified as either a tree or a large shrub and is individually identified.

5. The method for calculating plant carbon sequestration based on UAV oblique photography technology according to claim 1, characterized in that, Step 5 is as follows: Step 5.1: Merge and statistically analyze the volume data of different tissues of the plant that are independently identified as being of the same type; Step 5.2: Generate categorized volume data including all the tissues based on the statistical results.

6. The method for calculating plant carbon sequestration based on UAV oblique photography technology according to claim 5, characterized in that, Step 6 is as follows: Step 6.1: Import the classification volume data of all the tissues mentioned; Step 6.2: Based on the classification volume data of all the tissues, and using the seasonal average moisture content data of different tissues of different plants, calculate the dry matter content of different tissues of all the plants; Step 6.3: Calculate the carbon content of all the plants based on the hydrocarbon content of the different dry matter contents.

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