Method and equipment for generating total carbon sequestration amount of vegetation in target area by using remote sensing image

Abstract

The invention provides a method and device for generating the total carbon sequestration amount of vegetation in a target area through a remote sensing image, and relates to the technical field of data processing. Establishing a remote sensing measurement machine learning model of the annual carbon sequestration amount of the vegetation of the expressway by taking the measured annual carbon sequestration amount of the vegetation of the selected road section influenced by growth as a dependent variable; combining the established highway vegetation annual carbon sequestration amount calculation model with satellite images of the global highway in different years in Shandong province, and calculating the total vegetation annual carbon sequestration amount of the highway in the corresponding year; and meanwhile, a spatial analysis method and a geostatistical analysis method are combined to obtain a spatial and temporal distribution rule of highway vegetation carbon sinks so as to assist collaborative maintenance of highway vegetation landscapes and a carbon sink function.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and device for generating the total amount of vegetation carbon fixation in a target area using remote sensing images. Background Art

[0002] Obtaining carbon sequestration is one of the key actions to address global climate change, achieve carbon neutrality goals and promote sustainable development. By quantifying the carbon sequestration capacity of ecosystems corresponding to the target geographical area, we can understand the role of these ecosystems in absorbing carbon dioxide from the atmosphere, mitigating the greenhouse effect, and improving regional microclimate and air quality. Among them, the target geographical area is a geographical area covered by vegetation.

[0003] In the prior art, most methods for obtaining the total amount of carbon sequestration in a target geographical area rely on a neural network model. The neural network model is used to extract the target geographical area in the original remote sensing image, the actual area of ​​the target geographical area is obtained according to the scale data in the original image, and the total amount of carbon sequestration in the target geographical area is calculated based on the actual area of ​​the target geographical area.

[0004] However, the above method also has the following technical problems:

[0005] The above method does not take into account the carbon emissions of the target geographical area, ignores the errors caused by the carbon cycle process of the ecosystem corresponding to the target geographical area, and the actual area calculation of the target geographical area requires accurate geographic reference and scale data. Any measurement error will affect the total amount of carbon sequestration obtained. Therefore, the total amount of carbon sequestration obtained by the above method has low accuracy. Summary of the invention

[0006] In view of the above technical problems, the technical solution adopted by the present invention is:

[0007] According to a first aspect of the present invention, a method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images is provided, the method comprising the following steps:

[0008] S1. Divide the target geographic area into several target sub-geographic areas and obtain the average feature similarity H corresponding to the target sub-geographic areas based on the actual feature value list and the preset feature value list corresponding to the target sub-geographic areas, wherein the actual feature value list includes the actual feature values ​​corresponding to the preset feature labels, the actual feature values ​​are feature values ​​obtained by analyzing and processing the remote sensing images corresponding to the target sub-geographic areas, and the preset feature value list includes the preset feature values ​​corresponding to the preset feature labels, wherein the target geographic area is a geographic area covered by vegetation and the target sub-geographic areas do not overlap with each other.

[0009] S2, when H ≥ H 0When the historical carbon fixation G and historical carbon emissions P, H corresponding to the target sub-geographical area are obtained 0 is the preset similarity threshold corresponding to the target sub-geographical area, the historical carbon sequestration corresponding to the target sub-geographical area is the carbon sequestration of the target sub-geographical area within the historical time period, and the historical carbon emissions corresponding to the target sub-geographical area are the carbon emissions of the target sub-geographical area within the historical time period.

[0010] S3. Obtain the simulated carbon sequestration amount R corresponding to the simulated geographical area corresponding to the target sub-geographical area, wherein the simulated geographical area corresponding to the target sub-geographical area is a geographical area simulated according to preset characteristic values ​​in a preset characteristic value list corresponding to the target sub-geographical area, and the simulated carbon sequestration amount corresponding to the simulated geographical area is the carbon sequestration amount of the simulated geographical area within a preset time period, and the length of the preset time period is the same as the length of the historical time period.

[0011] S4. When R>P and G>P, max(R, G) is determined as the target carbon sequestration amount corresponding to the target sub-geographical area, and max() is the maximum value acquisition function; when R>P, G<P and H 0 When <1, let H 0 =H 0 +△H so that H 0 Update and enter step S2, where △H is the preset similarity difference; when R>P, G<P and H 0 ≥1, a first preset prompt message is issued and R is determined to be the target carbon fixation amount corresponding to the target sub-geographical area. The first preset prompt message is used to prompt the user to increase the vegetation coverage rate corresponding to the target sub-geographical area.

[0012] S5. After determining the target carbon sequestration amounts corresponding to all target sub-geographical areas, the sum of the target carbon sequestration amounts corresponding to all target sub-geographical areas within the target geographical area is added together as the total carbon sequestration amount corresponding to the target geographical area.

[0013] According to a second aspect of the present invention, an electronic device is provided, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned method when executing the computer program.

[0014] The present invention has at least the following beneficial effects:

[0015] The present invention provides a method and device for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images. The method can obtain an actual feature value list corresponding to the target sub-geographical area based on the remote sensing image corresponding to the target sub-geographical area, obtain the average feature similarity corresponding to the target sub-geographical area based on the actual feature value list and the preset feature value list corresponding to the target sub-geographical area, obtain the historical carbon sequestration and historical carbon emission corresponding to the target sub-geographical area when the average feature similarity corresponding to the target sub-geographical area is not less than the preset similarity threshold corresponding to the target sub-geographical area, obtain the simulated carbon sequestration corresponding to the simulated geographical area corresponding to the target sub-geographical area, obtain the target carbon sequestration corresponding to the target sub-geographical area according to the historical carbon sequestration and historical carbon emission corresponding to the target sub-geographical area and the simulated carbon sequestration corresponding to the corresponding simulated geographical area, and add the target carbon sequestration corresponding to all target sub-geographical areas in the target geographical area to obtain the sum as the total amount of carbon sequestration corresponding to the target geographical area. It can be seen that the present invention does not need to refer to scale data to obtain the area of ​​the target geographical area and does not only obtain the total amount of carbon sequestration of the target geographical area according to the area of ​​the target geographical area, which is conducive to improving the accuracy of obtaining the total amount of carbon sequestration corresponding to the target geographical area. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A flow chart of a method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0019] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar tasks, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0020] The embodiment of the present invention provides a method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images, the method comprising the following steps: Figure 1 As shown:

[0021] S1. Divide the target geographic area into several target sub-geographic areas and obtain the average feature similarity H corresponding to the target sub-geographic areas based on the actual feature value list and the preset feature value list corresponding to the target sub-geographic areas, wherein the actual feature value list includes the actual feature values ​​corresponding to the preset feature labels, the actual feature values ​​are the feature values ​​obtained by analyzing and processing the remote sensing images corresponding to the target sub-geographic areas, and the preset feature value list includes the preset feature values ​​corresponding to the preset feature labels.

[0022] Specifically, the target geographical area is a geographical area covered by vegetation.

[0023] Furthermore, each target sub-geographical area does not overlap with each other.

[0024] Specifically, the preset feature tags are preset tags that can present the characteristics of the target sub-geographical area, including: area of ​​the target sub-geographical area, vegetation coverage, leaf area index, normalized vegetation index, enhanced vegetation index, spectral reflectance, vegetation type, and vegetation quantity.

[0025] Specifically, step S1 includes the following sub-steps S11-S15:

[0026] S11, obtain a preset feature label list A = {A1, A2, ..., A i , ..., A m}, A i is the i-th preset feature label, the value range of i is 1 to m, and m is the number of preset feature labels.

[0027] S12, analyzing and processing the remote sensing image corresponding to the target sub-geographical area to obtain the actual feature value list B corresponding to the target sub-geographical area = {B1, B2, ..., B i , ..., B m}, B i A in B i The corresponding actual eigenvalue.

[0028] S13, obtaining a preset feature value list C corresponding to the target sub-geographical area = {C1, C2, ..., C i , ..., C m}, C i A in C i Corresponding preset characteristic values, where those skilled in the art know that the preset characteristic values ​​are characteristic values ​​pre-set by those skilled in the art according to actual needs, and will not be described in detail here.

[0029] S14, against B i and C i Perform vectorization to obtain B i The corresponding first eigenvector D i and C i The corresponding second eigenvector E i , wherein those skilled in the art know that any method of performing vectorization processing on eigenvalues ​​to obtain eigenvectors in the prior art falls within the protection scope of the present invention and will not be described in detail herein.

[0030] S15, D i and E i The vector similarity between the target sub-geographical area and A i The corresponding initial feature similarity F i And according to F i Get H, where H meets the following conditions:

[0031] H=∑ m i＝1 F i / m.

[0032] Specifically, the greater the vector similarity, the more similar the first eigenvector and the second eigenvector are.

[0033] Through the above steps, the remote sensing image corresponding to the target sub-geographical area is analyzed and processed to obtain a list of actual feature values ​​corresponding to the target sub-geographical area, a list of preset feature values ​​corresponding to the target sub-geographical area is obtained, the actual feature values ​​and the preset feature values ​​are vectorized to obtain a first feature vector corresponding to the actual feature value and a second feature vector corresponding to the preset feature value, the vector similarity between the first feature vector and the second feature vector is used as the initial feature similarity corresponding to the target sub-geographical area and the preset feature label, and the average feature similarity corresponding to the target sub-geographical area is further obtained, which is conducive to improving the accuracy of obtaining the average feature similarity corresponding to the target sub-geographical area.

[0034] S2, when H ≥ H 0 When the historical carbon fixation G and historical carbon emission P of the target sub-geographical area are obtained, H 0 is the preset similarity threshold corresponding to the target sub-geographical area, the historical carbon sequestration corresponding to the target sub-geographical area is the carbon sequestration of the target sub-geographical area within the historical time period, and the historical carbon emissions corresponding to the target sub-geographical area are the carbon emissions of the target sub-geographical area within the historical time period. Those skilled in the art are aware that the length of the historical time period is set by those skilled in the art according to actual needs and will not be repeated here.

[0035] Specifically, when H<H 0 When the target sub-geographical area is covered with vegetation, a first preset prompt message is sent, wherein the first preset prompt message is used to prompt the user to increase the vegetation coverage rate corresponding to the target sub-geographical area.

[0036] Through the above steps, when the average feature similarity corresponding to the target sub-geographic area is less than the preset similarity threshold corresponding to the target sub-geographic area, it means that the gap between the actual feature value in the actual feature value list corresponding to the target geographic area and the preset feature value in the preset feature value list is large, and it is necessary to increase vegetation in the target sub-geographic area to improve the vegetation coverage rate corresponding to the target sub-geographic area. Therefore, when the average feature similarity corresponding to the target sub-geographic area is less than the preset similarity threshold corresponding to the target sub-geographic area, a first preset prompt message is issued to help users get feedback in time.

[0037] Specifically, H 0 The initial value of H ranges from (0, 1], where the technicians in this field know that the technicians in this field can determine H from (0, 1] according to actual needs. 0 The initial value of is not described here.

[0038] Furthermore, the H corresponding to each target sub-geographical area 0 The initial values ​​of are the same; for example: H corresponding to each target sub-geographical area 0 The initial value of is 0.8.

[0039] S3. Obtain a simulated carbon fixation amount R corresponding to a simulated geographical area corresponding to the target sub-geographical area, wherein the simulated geographical area corresponding to the target sub-geographical area is a geographical area simulated according to preset characteristic values ​​in a preset characteristic value list corresponding to the target sub-geographical area, and the simulated carbon fixation amount corresponding to the simulated geographical area is the carbon fixation amount of the simulated geographical area within a preset time period, and the length of the preset time period is the same as the length of the historical time period.

[0040] S4. When R>P and G>P, max(R, G) is determined as the target carbon sequestration amount corresponding to the target sub-geographical area, and max() is the maximum value acquisition function; when R>P, G<P and H 0 When <1, let H 0 =H 0 +△H so that H 0 Update and enter step S2, where △H is the preset similarity difference; when R>P, G<P and H 0 ≥1, the first preset prompt information is issued and R is determined to be the target carbon fixation amount corresponding to the target sub-geographical area.

[0041] Specifically, the value range of ΔH is (0, 0.1], wherein those skilled in the art know that those skilled in the art can determine the specific value of ΔH from (0, 0.1] according to actual needs, which will not be repeated here.

[0042] S5. After determining the target carbon sequestration amounts corresponding to all target sub-geographical areas, the sum of the target carbon sequestration amounts corresponding to all target sub-geographical areas within the target geographical area is added together as the total carbon sequestration amount corresponding to the target geographical area.

[0043] Through the above steps, the target carbon sequestration amount corresponding to the target sub-geographical area is obtained according to the historical carbon sequestration amount, historical carbon emissions and the simulated carbon sequestration amount corresponding to the simulated geographical area, and the sum of the target carbon sequestration amounts corresponding to all target sub-geographical areas in the target geographical area is taken as the total carbon sequestration amount corresponding to the target geographical area. It can be seen that the present invention does not need to refer to the scale data to obtain the area of ​​the target geographical area and not only obtains the total carbon sequestration amount of the target geographical area based on the area of ​​the target geographical area, which is conducive to improving the accuracy of obtaining the total carbon sequestration amount corresponding to the target geographical area.

[0044] Specifically, in a specific embodiment, step S4 also includes:

[0045] When R≤P, a second preset prompt message is issued, wherein the second preset prompt message is information for prompting the user to increase the vegetation coverage rate corresponding to the simulated geographical area.

[0046] Through the above steps, when the simulated carbon fixation amount corresponding to the simulated geographical area corresponding to the target sub-geographical area is not greater than the historical carbon emissions corresponding to the target sub-geographical area, it means that the vegetation coverage rate in the simulated geographical area is not high enough, which further means that the data of the preset characteristic values ​​in the preset characteristic value list corresponding to the target sub-geographical area is incorrect and needs to be updated. Therefore, when the simulated carbon fixation amount corresponding to the simulated geographical area corresponding to the target sub-geographical area is not greater than the historical carbon emissions corresponding to the target sub-geographical area, a second preset prompt message is issued, which is conducive to the user to take timely measures.

[0047] Specifically, in a specific embodiment, after step S4 and before step S5, the following steps are also included:

[0048] S10. When R≤P, let the vegetation coverage rate L=L+△L corresponding to the simulated geographical area corresponding to the target sub-geographical area so as to update the simulated geographical area corresponding to the target sub-geographical area, wherein △L is a preset coverage rate difference, and those skilled in the art know that those skilled in the art can set the specific value of △L according to actual needs, which will not be repeated here.

[0049] S20. Update the preset feature values ​​in the preset feature value list corresponding to the target sub-geographical area according to the updated simulated geographical area corresponding to the target sub-geographical area and proceed to step S1.

[0050] Through the above steps, when the simulated carbon fixation amount corresponding to the simulated geographical area corresponding to the target sub-geographical area is not greater than the historical carbon emissions corresponding to the target sub-geographical area, the vegetation coverage rate corresponding to the simulated geographical area corresponding to the target sub-geographical area is increased, and the preset characteristic values ​​in the preset characteristic value list corresponding to the target sub-geographical area are updated according to the updated simulated geographical area corresponding to the target sub-geographical area, and the step of obtaining the average characteristic similarity corresponding to the target sub-geographical area based on the actual characteristic value list and the preset characteristic value list corresponding to the target sub-geographical area is entered, and the total carbon fixation amount corresponding to the target geographical area is re-obtained, which is conducive to improving the accuracy of obtaining the total carbon fixation amount corresponding to the target geographical area.

[0051] An embodiment of the present invention also provides a non-transitory computer-readable storage medium, which can be set in an electronic device to store a computer program related to a method in a method embodiment, and the computer program is loaded and executed by the processor to implement the method provided in the above embodiment.

[0052] An embodiment of the present invention further provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method provided in the above embodiment when executing the computer program.

[0053] An embodiment of the present invention further provides a computer program product, which includes program code. When the program product is run on an electronic device, the program code is used to enable the electronic device to execute the steps of the method according to various exemplary embodiments of the present invention described above in this specification.

[0054] The present invention provides a method and device for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images. The method can obtain an actual feature value list corresponding to the target sub-geographical area based on the remote sensing image corresponding to the target sub-geographical area, obtain the average feature similarity corresponding to the target sub-geographical area based on the actual feature value list and the preset feature value list corresponding to the target sub-geographical area, obtain the historical carbon sequestration and historical carbon emission corresponding to the target sub-geographical area when the average feature similarity corresponding to the target sub-geographical area is not less than the preset similarity threshold corresponding to the target sub-geographical area, obtain the simulated carbon sequestration corresponding to the simulated geographical area corresponding to the target sub-geographical area, obtain the target carbon sequestration corresponding to the target sub-geographical area according to the historical carbon sequestration and historical carbon emission corresponding to the target sub-geographical area and the simulated carbon sequestration corresponding to the corresponding simulated geographical area, and add the target carbon sequestration corresponding to all target sub-geographical areas in the target geographical area to obtain the sum as the total amount of carbon sequestration corresponding to the target geographical area. It can be seen that the present invention does not need to refer to scale data to obtain the area of ​​the target geographical area and does not only obtain the total amount of carbon sequestration of the target geographical area according to the area of ​​the target geographical area, which is conducive to improving the accuracy of obtaining the total amount of carbon sequestration corresponding to the target geographical area.

[0055] Although some specific embodiments of the present invention have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are only for illustration, not for limiting the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. A method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images, characterized in that: The method comprises the following steps: S1. Divide the target geographical area into a plurality of target sub-geographical areas and obtain the average feature similarity H corresponding to the target sub-geographical areas based on the actual feature value list and the preset feature value list corresponding to the target sub-geographical areas, wherein the actual feature value list includes the actual feature value corresponding to the preset feature label, the actual feature value is the feature value obtained by analyzing and processing the remote sensing image corresponding to the target sub-geographical area, and the preset feature value list includes the preset feature value corresponding to the preset feature label, wherein the target geographical area is a geographical area covered by vegetation and each target sub-geographical area does not overlap with each other; S2, when H ≥ H 0 When the historical carbon fixation G and historical carbon emissions P, H corresponding to the target sub-geographical area are obtained 0 is a preset similarity threshold corresponding to the target sub-geographical area, the historical carbon sequestration corresponding to the target sub-geographical area is the carbon sequestration of the target sub-geographical area in the historical time period, and the historical carbon emissions corresponding to the target sub-geographical area is the carbon emissions of the target sub-geographical area in the historical time period; S3. Obtain a simulated carbon sequestration amount R corresponding to a simulated geographical area corresponding to the target sub-geographical area, wherein the simulated geographical area corresponding to the target sub-geographical area is a geographical area simulated according to a preset characteristic value in a preset characteristic value list corresponding to the target sub-geographical area, and the simulated carbon sequestration amount corresponding to the simulated geographical area is the carbon sequestration amount of the simulated geographical area within a preset time period, and the length of the preset time period is the same as the length of the historical time period; S4. When R>P and G>P, max(R, G) is determined as the target carbon sequestration amount corresponding to the target sub-geographical area, and max() is the maximum value acquisition function; when R>P, G<P and H 0 When <1, let H 0 =H 0 +△H so that H 0 Update and enter step S2, where △H is the preset similarity difference; when R>P, G<P and H 0 ≥1, a first preset prompt message is issued and R is determined to be the target carbon fixation amount corresponding to the target sub-geographical area. The first preset prompt message is used to prompt the user to increase the vegetation coverage rate corresponding to the target sub-geographical area; S5. After determining the target carbon sequestration amounts corresponding to all target sub-geographical areas, the sum of the target carbon sequestration amounts corresponding to all target sub-geographical areas within the target geographical area is added together as the total carbon sequestration amount corresponding to the target geographical area.

2. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: The preset feature tags are preset tags that can present the characteristics of the target sub-geographical area, including: area of ​​the target sub-geographical area, vegetation coverage, leaf area index, normalized vegetation index, enhanced vegetation index, spectral reflectance, vegetation type, and vegetation quantity.

3. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: Step S1 includes the following sub-steps S11-S15: S11, obtain a preset feature label list A = {A1, A2, ..., A i , ..., A m }, A i is the i-th preset feature label, the value range of i is 1 to m, and m is the number of preset feature labels; S12, analyzing and processing the remote sensing image corresponding to the target sub-geographical area to obtain the actual feature value list B corresponding to the target sub-geographical area = {B1, B2, ..., B i , ..., B m }, B i A in B i The corresponding actual eigenvalue; S13, obtaining a preset feature value list C corresponding to the target sub-geographical area = {C1, C2, ..., C i , ..., C m }, C i A in C i The corresponding preset characteristic value; S14, against B i and C i Perform vectorization to obtain B i The corresponding first eigenvector D i and C i The corresponding second eigenvector E i ; S15, D i and E i The vector similarity between the target sub-geographical area and A i The corresponding initial feature similarity F i And according to F i Get H, where H meets the following conditions: H=∑ m i＝1 F i / m。 4. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: Step S2 also includes the following steps: When H<H 0 When the first preset prompt message is issued.

5. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: Step S4 also includes: When R≤P, a second preset prompt message is issued, wherein the second preset prompt message is information for prompting the user to increase the vegetation coverage rate corresponding to the simulated geographical area.

6. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: After step S4 and before step S5, the following steps are also included: S10, when R≤P, the vegetation coverage rate corresponding to the simulated geographical area corresponding to the target sub-geographical area is set to L=L+ΔL so that the simulated geographical area corresponding to the target sub-geographical area is updated, wherein ΔL is a preset coverage rate difference; S20. Update the preset feature values ​​in the preset feature value list corresponding to the target sub-geographical area according to the updated simulated geographical area corresponding to the target sub-geographical area and proceed to step S1.

7. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: H 0 The initial value range is (0, 1].

8. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 1, characterized in that: The value range of △H is (0, 0.1].

9. The method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images according to claim 7, characterized in that: H corresponding to each target sub-geographical area 0 The initial values ​​are the same.

10. An electronic device, comprising: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for generating the total amount of vegetation carbon sequestration in a target area using remote sensing images as described in any one of claims 1 to 9 is implemented.

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