Carbon sink data analysis and processing system and method for Tamarix forest wetland ecosystem

Abstract

The present invention relates to the field of carbon sink data processing technology, and specifically, to a carbon sink data analysis and processing system and method for a tamarisk forest wetland ecosystem. The system includes a carbon sink data calculation module, a data proofreading information collection platform, and a data analysis and proofreading module; wherein the carbon sink data calculation module determines the carbon sink resource data corresponding to the tamarisk forest in the target area based on the tamarisk coverage data and the pre-entered carbon sink resource parameters of the tamarisk matched in different types of land; by identifying the affected area of ​​the tamarisk forest, the affected area is split into multiple areas, and matched with various environments in the city, and an abnormally damaged database is constructed using the portable monitoring environment of the city, and the damaged information recorded in the abnormally damaged database is used to make up for the shortcoming of remote sensing monitoring that is difficult to identify broken branches and rods, thereby completing the proofreading of carbon sink resource data and improving the accuracy of remote sensing monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon sink data processing, and in particular to a carbon sink data analysis and processing system and method for a tamarisk forest wetland ecosystem. Background Art

[0002] Tamarix forest is a forest composed of Tamarix trees. Tamarix is ​​a shrub or small tree with a well-developed root system. It has strong windbreak and sand fixation, water and soil conservation, and soil improvement effects. Tamarix also has strong salt-alkali tolerance and is often used as the main vegetation restoration tree species in coastal saline-alkali land. It plays an important role in maintaining the stability of muddy coastal ecosystems and improving saline-alkali soil.

[0003] The carbon sink function of Tamarix forest is mainly reflected in its absorption of carbon dioxide through photosynthesis and fixation in the plant body and soil, thereby reducing the concentration of greenhouse gases in the atmosphere.

[0004] In related technologies, remote sensing monitoring is mainly used to quickly obtain carbon sink data of Tamarix forests. Specifically, multispectral or hyperspectral remote sensing satellite data is used to estimate the biomass and carbon storage of Tamarix forests by analyzing the reflectance characteristics of Tamarix forests in different spectral bands. For example, in the near-infrared band, the reflectance of vegetation has a strong correlation with biomass. By establishing a regression model of reflectance and biomass, combined with the distribution area of ​​Tamarix forests (which can be obtained through remote sensing image classification), the carbon sink of Tamarix forests can be estimated.

[0005] However, the state of the leaves of Tamarix will directly affect the efficiency of photosynthesis. When the branches of Tamarix are damaged and broken due to severe weather (such as storms, thunderstorms, etc.), since remote sensing images are basically collected in a bird's-eye view, the numerous branches and leaves in the Tamarix forest block each other, making it very difficult to identify the spectral characteristic changes of the broken branches from the remote sensing images alone. As a result, it is difficult for traditional remote sensing monitoring methods to obtain the damaged state of Tamarix leaves in the face of severe weather, and it is difficult to judge the accuracy of carbon sink data obtained through remote sensing monitoring methods. Summary of the invention

[0006] The object of the present invention is to provide a system and method for analyzing and processing carbon sink data in a Tamarix forest wetland ecosystem, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above-mentioned object, one of the objects of the present invention is to provide a carbon sink data analysis and processing system for a Tamarix forest wetland ecosystem, comprising a carbon sink data calculation module, a data proofreading information collection platform, and a data analysis and proofreading module; wherein,

[0008] The carbon sink data calculation module determines the carbon sink resource data corresponding to the Tamarix forest in the target area based on the Tamarix coverage data and the pre-entered carbon sink resource parameters of the Tamarix matching in different types of land; the data proofreading information collection platform at least includes:

[0009] An affected area acquisition module, wherein the affected area acquisition module combines environmental information around the Tamarix forest to analyze the affected area of ​​the Tamarix forest when facing severe weather;

[0010] A Tamarix feature matching module, wherein the Tamarix feature matching module obtains feature information of Tamarix in the affected area, and matches a proofreading area having corresponding feature information according to the feature information, and the proofreading area needs to be in a monitored environment;

[0011] and an abnormal weather processing module, wherein the abnormal weather processing module constructs an abnormal damage database, records the damage degree information of the proofreading area under different severe weather conditions, and obtains the damaged area; and when the tamarisk forest is subjected to severe weather, matches the corresponding damaged area according to the meteorological data suffered;

[0012] The data analysis and proofreading module obtains the carbon sink resource data of the Tamarix forest before and after it is subjected to severe weather, combines the carbon sink resource data of the Tamarix forest before it is subjected to severe weather with the damaged area, and proofreads the carbon sink resource data of the Tamarix forest after it is subjected to severe weather.

[0013] As a further improvement of the technical solution, the method steps for the affected area acquisition module to analyze the affected area of ​​the Tamarix chinensis forest are as follows:

[0014] S210A, obtaining image information of the Tamarix forest in the remote sensing image;

[0015] S210B, identifying obstructions distributed around the Tamarix chinensis forest in the image information;

[0016] S210C. Mark the Tamarix forest without any obstructions in the surrounding area as the affected area.

[0017] As a further improvement of the technical solution, the method steps for the Tamarix feature matching module to obtain the feature information of Tamarix in the affected area are as follows:

[0018] S220A, use UAV remote sensing technology to collect information on the affected area and generate remote sensing images;

[0019] S220B, obtaining image information of the affected area in the remote sensing image;

[0020] S220C. According to the image information in S220B, the distribution density and distribution shape of Tamarix chinensis in the affected area are obtained.

[0021] As a further improvement of the technical solution, the method steps of matching the corresponding proofreading area by the Tamarix feature matching module are as follows:

[0022] S220D, obtain the damage resistance of Tamarix chinensis, and generate Tamarix chinensis feature information in combination with the distribution density and distribution shape in S220C, and obtain all feature quantities in the Tamarix chinensis feature information ;

[0023] S220E, obtain remote sensing images of parks in various cities through satellite remote sensing technology;

[0024] S220F, based on the remote sensing images in S220E, obtain the damage resistance, distribution density, and distribution shape of different types of plants in the park, generate plant feature information, and obtain the number of features shared with the Tamarix chinensis feature information from the plant feature information ;

[0025] S220G, set similarity threshold , when the number of common features / Total number of features ≥ Similarity threshold When the corresponding plant is located, the area is marked as the proofreading area.

[0026] As a further improvement of this technical solution, the following method steps are also included:

[0027] S220H, obtain the public monitoring equipment in the proofreading area, establish a connection with the public monitoring equipment, and obtain the monitoring picture of the proofreading area.

[0028] As a further improvement of the technical solution, the method steps for the abnormal weather processing module to generate proofreading data are as follows:

[0029] S230A, obtaining a comparison picture of plants in the proofreading area before and after experiencing severe weather;

[0030] S230B, identifying the damaged area of ​​the proofreading area through the comparison chart;

[0031] S230C, obtaining weather conditions in the affected area, and when the same severe weather as in S230A occurs in the affected area, calculating the damaged area within the affected area.

[0032] As a further improvement of the technical solution, the comparison chart in S230A can be obtained by the staff in the park.

[0033] As a further improvement of the technical solution, the method steps for the data analysis and proofreading module to proofread the carbon sink resource data are as follows:

[0034] S300A, obtain the damaged area in the Tamarix forest coverage area The proportion of area ;

[0035] S300B, mark the carbon sink resource data of the Tamarix forest before it was hit by bad weather as the previous data , marking the carbon sink resource data of Tamarix forest after being hit by severe weather as post-data ;

[0036] S300C, calculation and proofreading data , proofread data =Previous data ;

[0037] S300D, set the calibration threshold , when proofreading data - Post data ≤Proofreading threshold When the data is not correct Processing; when proofreading data - Post data >Proofreading threshold When the data is The data information is adjusted to the proofreading data The data information is consistent.

[0038] As a further improvement of the technical solution, an abnormal littering identification unit is also included to analyze the littering state of Tamarix chinensis leaves. The specific method steps are as follows:

[0039] S400A, set abnormal fall threshold , when the data The increased data ≥ abnormal fall threshold When the leaf falling state of Tamarix chinensis is detected, the leaf falling state of Tamarix chinensis is marked as abnormal falling.

[0040] The second object of the present invention is to provide a method for a carbon sink data analysis and processing system for a Tamarix forest wetland ecosystem, comprising the following method steps:

[0041] S1. Based on the coverage data of Tamarix chinensis and the pre-entered carbon sink resource parameters of Tamarix chinensis in different types of land, the carbon sink resource data corresponding to the Tamarix chinensis forest in the target area is determined;

[0042] S2. Combined with the environmental information around the Tamarix forest, analyze the affected areas of the Tamarix forest when facing severe weather;

[0043] S3, acquiring characteristic information of Tamarix chinensis in the affected area, and matching a proofreading area with corresponding characteristic information according to the characteristic information, and the proofreading area needs to be in a monitored environment;

[0044] S4, constructing an abnormal damage database, recording the damage degree information of the proofreading area under different severe weather conditions, and obtaining the damaged area; and when the Tamarix forest is subjected to severe weather, matching the corresponding damaged area according to the meteorological data suffered;

[0045] S5. Obtain the carbon sink resource data of the Tamarix chinensis forest before and after it is subjected to severe weather, combine the carbon sink resource data of the Tamarix chinensis forest before it is subjected to severe weather with the damaged area, and calibrate the carbon sink resource data of the Tamarix chinensis forest after it is subjected to severe weather.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. In the carbon sink data analysis and processing system and method of the tamarisk forest wetland ecosystem, the affected area of ​​the tamarisk forest is identified, the affected area is split into multiple areas, and the affected areas are matched with various environments in the city. An abnormal damage database is constructed using the portable urban monitoring environment. The damaged information recorded in the abnormal damage database is used to make up for the shortcoming that broken branches are difficult to identify in remote sensing monitoring, thereby completing the proofreading of carbon sink resource data and improving the accuracy of remote sensing monitoring.

[0048] 2. In the carbon sink data analysis and processing system and method of the tamarisk forest wetland ecosystem, the existence of the proofreading area is not only for the correction of carbon sink resource data, but also provides a reference basis for the fall of tamarisk leaves. and proofreading data The difference between the two can be used to determine the amount of Tamarix leaf litter, and then the survival status of the Tamarix leaves can be analyzed according to the litter amount, so as to timely discover the hidden dangers of the Tamarix forest. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A block diagram of the overall modules of the present invention;

[0050] Figure 2 Schematic diagram of the affected area of ​​the present invention.

[0051] The meaning of each number in the figure is:

[0052] 100. Carbon sink data calculation module; 200. Data proofreading information collection platform; 210. Affected area collection module; 220. Tamarix feature matching module; 230. Abnormal weather processing module; 300. Data analysis and proofreading module; 400. Abnormal litter identification unit. DETAILED DESCRIPTION

[0053] The following will be combined with the accompanying drawings in 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 and Figure 2 As shown, one of the purposes of the present invention is to provide a carbon sink data analysis and processing system for a Tamarix forest wetland ecosystem, comprising a carbon sink data calculation module 100, a data proofreading information collection platform 200, and a data analysis and proofreading module 300; wherein,

[0055] The carbon sink data calculation module 100 first obtains the remote sensing data of the target area (Tamarisk forest), and the remote sensing data at least includes the distribution image of the Tamarisk forest. Then, the spatial thermal zone analysis model is used to extract the distribution information of the Tamarisk forest in the target area from the remote sensing data, for example, the dense distribution area and sparse distribution area of ​​the Tamarisk forest can be determined. Next, through the geographic information analysis model, the pre-acquired target area terrain information and Tamarisk forest distribution information are subjected to geospatial analysis and processing to obtain the Tamarisk forest coverage data, including the coverage area of ​​the Tamarisk forest in different types of land contained in the target area. Finally, based on the Tamarisk coverage data and the pre-entered carbon sink resource parameters of the Tamarisk matching in different types of land, the carbon sink resource data corresponding to the Tamarisk forest in the target area is determined; the data proofreading information collection platform 200 at least includes:

[0056] An affected area acquisition module 210, which combines environmental information around the Tamarix forest to analyze the affected area of ​​the Tamarix forest when facing severe weather;

[0057] The Tamarix feature matching module 220 obtains feature information of the Tamarix in the affected area, and matches the proofreading area with corresponding feature information according to the feature information, and the proofreading area needs to be in a monitored environment;

[0058] and an abnormal weather processing module 230, which constructs an abnormal damage database, records the damage degree information of the proofreading area under different severe weather conditions, and obtains the damaged area; and when the tamarisk forest is subjected to severe weather, matches the corresponding damaged area according to the meteorological data suffered;

[0059] The data analysis and proofreading module 300 obtains the carbon sink resource data of the Tamarix forest before and after it is subjected to severe weather, combines the carbon sink resource data of the Tamarix forest before it is subjected to severe weather with the damaged area, and proofreads the carbon sink resource data of the Tamarix forest after it is subjected to severe weather.

[0060] In other words, by identifying the affected areas of the Tamarix forest, the affected areas are divided into multiple areas and matched with various environments in the city. The abnormal damage database is constructed using the portable monitoring environment of the city. The damage information recorded in the abnormal damage database is used to make up for the shortcomings of remote sensing monitoring that is difficult to identify broken branches, thereby completing the proofreading of carbon sink resource data and improving the accuracy of remote sensing monitoring.

[0061] In addition, the affected area acquisition module 210 analyzes the affected area of ​​the Tamarix chinensis forest in the following steps:

[0062] S210A, obtaining image information of the Tamarix forest in the remote sensing image;

[0063] S210B, identifying obstructions distributed around the Tamarix chinensis forest in the image information;

[0064] S210C. Mark the Tamarix forest without any obstructions in the surrounding area as the affected area.

[0065] Specific as Figure 2 As shown, the part between multiple shielding objects is a tamarisk forest. The shielding objects can be buildings or other types of trees. When bad weather occurs, such as a storm, the shielding objects in front of the tamarisk forest can block the storm, thereby reducing the wind intensity of the tamarisk trees behind the shielding objects. The tamarisk forest that is not facing the shielding objects needs to face the storm alone. It can be seen that the tamarisk forest facing the shielding objects is a safe area, and the area not facing the shielding objects is an affected area.

[0066] Furthermore, the method steps for the Tamarix feature matching module 220 to obtain the feature information of the Tamarix in the affected area are as follows:

[0067] S220A, use UAV remote sensing technology to collect information on the affected area and generate remote sensing images;

[0068] S220B, obtaining image information of the affected area in the remote sensing image;

[0069] S220C, according to the image information in S220B, obtaining the distribution density and distribution shape of Tamarix chinensis in the affected area;

[0070] It should be understood that the drone can take advantage of low-altitude flight to keep a close distance to the tamarisk forest, thereby obtaining clear remote sensing images. In some embodiments, remote sensing images can be generated by the cooperation of drones and lidar. Specifically, three-dimensional point cloud data is created by emitting a laser beam and measuring the time it takes to reflect back. In a tamarisk forest, the lidar can penetrate the tree canopy to obtain information such as the height, crown width and density of the trees. By analyzing the point cloud data, the density of the tamarisk forest can be calculated, that is, the number of tamarisk forests per unit area. At the same time, the position of the outermost tamarisk is obtained, and the distribution shape of the tamarisk is obtained by connecting multiple outermost tamarisks to each other.

[0071] Furthermore, the method steps of the Tamarix chinensis feature matching module 220 for matching the corresponding proofreading area are as follows:

[0072] S220D, obtain the damage resistance of Tamarix chinensis (i.e., the strength that can withstand damage), and generate Tamarix chinensis feature information in combination with the distribution density and distribution shape in S220C, and obtain all feature quantities in the Tamarix chinensis feature information ;

[0073] S220E, obtain remote sensing images of parks in various cities through satellite remote sensing technology;

[0074] S220F, based on the remote sensing images in S220E, obtain the damage resistance, distribution density, and distribution shape of different types of plants in the park, generate plant feature information, and obtain the number of features shared with the Tamarix chinensis feature information from the plant feature information ;

[0075] S220G, set similarity threshold , when the number of common features / Total number of features ≥ Similarity threshold When the corresponding plant is located, the area is marked as the proofreading area;

[0076] For example, the total number of features of Tamarix chinensis =3 (damage resistance, distribution density, and distribution shape). Assume that there is a poplar forest in Park A that corresponds to the distribution density and distribution shape of Tamarix, but the damage resistance of the poplar forest is inconsistent with that of Tamarix, so the number of common features between the poplar forest and the Tamarix forest is There are two. Through calculation, it is found that the similarity between the poplar forest and the tamarisk forest is 60%.

[0077] Assume that there is a willow forest in park b with the same damage resistance, distribution density, and distribution shape as the tamarisk forest, that is, the number of common features between the willow forest and the tamarisk forest The similarity between the poplar forest and the tamarisk forest is 100%. is 100%, and the area where the willow forest in park b is located is marked as the proofreading area;

[0078] S220H, obtain the public monitoring equipment in the proofreading area, establish a connection with the public monitoring equipment, and obtain the monitoring picture of the proofreading area.

[0079] It should be understood that many parks have installed cameras to ensure the safety of tourists and manage uncivilized behavior in the park. These cameras cover every corner of the park, including plants, water surfaces, main entrances, main roads, crowded places, etc. Therefore, after establishing a connection with the cameras of these parks, the image information in the proofreading area can be obtained through the cameras.

[0080] In addition, the abnormal weather processing module 230 generates the calibration data in the following steps:

[0081] S230A, obtaining a comparison picture of plants in the proofreading area before and after experiencing severe weather;

[0082] S230B, identifying the damaged area of ​​the proofreading area through the comparison chart;

[0083] S230C, obtaining weather conditions in the affected area, and when the same severe weather as in S230A occurs in the affected area, calculating the damaged area within the affected area.

[0084] For example, a force 8 gale occurs in the proofreading area. At this time, two images of plants in the proofreading area are taken through the camera in the park, one is the image before the gale occurs, and the other is the image after the gale occurs, and then the number of branches and poles of the plants in the two images is observed. Assume that there are 10 willow trees in the proofreading area, and each willow tree has 10 branches and poles. That is, there are a total of 100 branches and poles in the proofreading area before the gale occurs. When the gale occurs, 30 branches and poles are broken, and the damaged area is 30%. Since the damage resistance, distribution density, and distribution shape of the willow trees in the proofreading area correspond, the damaged area can also provide a reference for the affected area. In other words, the damaged area in the proofreading area is also the damaged area in the affected area.

[0085] It should be noted that thanks to the large number of cameras in the park, cameras in different locations can be used to shoot the proofreading area from multiple angles to improve the accuracy of the data.

[0086] In addition, the comparison image in S230A can be obtained by the staff in the park. Since the park is a supporting facility of the city, when the plants are damaged by bad weather, the staff needs to take photos and report them, and then repair the plants. In other words, the images taken and reported by the staff can be obtained to identify the damaged area in the proofreading area.

[0087] Furthermore, the data analysis and proofreading module 300 performs the following steps to proofread the carbon sink resource data:

[0088] S300A, obtain the damaged area in the Tamarix forest coverage area The proportion of area ;

[0089] S300B, mark the carbon sink resource data of the Tamarix forest before it was hit by bad weather as the previous data , marking the carbon sink resource data of Tamarix forest after being hit by severe weather as post-data ;

[0090] S300C, calculation and proofreading data , proofread data =Previous data ;

[0091] S300D, set the calibration threshold , when proofreading data - Post data ≤Proofreading threshold When the data is not correct Processing; when proofreading data - Post data >Proofreading threshold When the data is The data information is adjusted to the proofreading data The data information is consistent.

[0092] For example, the previous data determined by the carbon sink data calculation module 100 (i.e. the carbon sink resource data of the Tamarix forest before it was hit by bad weather) is 100 tons of carbon (unit: tC), and the data after (i.e., the carbon sink resource data of the Tamarix forest after being hit by severe weather) is 98 tons of carbon, and the area covered by the Tamarix forest is 100%, the damaged area is within the area covered by the Tamarix forest The proportion of area 5%, now enter the calculation formula of S300C, that is, the calibration data =100*(100%-5%), i.e. proofreading data is 95 tons of carbon. Assuming the calibration threshold 2 tons of carbon, now substitute the formula in S300D, we can get 98-5=3 tons of carbon, because 3 tons of carbon> calibration threshold 2 tons of carbon, which means that the carbon sink data calculation module 100 calculates the data The accuracy is low, so the data The 98 tons of carbon were adjusted to 95 tons of carbon, and the data proofreading work was completed.

[0093] In addition, an abnormal falling identification unit 400 is included, which is used to analyze the falling state of Tamarix chinensis leaves. The specific method steps are as follows:

[0094] S400A, set abnormal fall threshold , when the data The increased data ≥ abnormal fall threshold When the leaf falling state of Tamarix chinensis is detected, the leaf falling state of Tamarix chinensis is marked as abnormal falling.

[0095] For example, after the data Before the adjustment, it was 90 tons of carbon, and after the adjustment, it was 95 tons of carbon. The abnormal litter threshold is increased by 5 tons of carbon. To increase carbon by 4 tons, the data at this time The increased data ≥ abnormal fall threshold .

[0096] It should be understood that when the data Lower than previous data , it indicates that the carbon sink data calculation module 100 has monitored the falling of Tamarix leaves, thereby reducing the subsequent data The value of the post-data Below proofreading data However, this only shows that the tamarisk leaves fell due to bad weather, but it cannot determine whether the tamarisk leaves fell normally or abnormally.

[0097] In the present invention, due to the proofreading data Based on previous data The damage status of the proofreading area is calculated based on the data of the damage status of the proofreading area. The characteristics of the plants in the proofreading area are similar to those of Tamarix, so the damage status of the proofreading area includes the data of the fall of Tamarix leaves in bad weather. In other words, when facing the same meteorological environment, the latter data Should be close to or higher than the calibration data Therefore, when the data Below proofreading data This indicates that the amount of Tamarix salix leaves falling is large, and the connection strength between Tamarix salix leaves and branches may be abnormal.

[0098] For example, when a slight bad weather occurs, 30% of the leaves of the tamarisk forest fall off, and 10 branches of the plants in the proofreading area are broken. =100 tons of carbon. At this time, 30% of the leaves of the tamarisk forest have fallen, so the latter data is Assume that there are 100 branches in the calibration area. It is 90 tons of carbon. Compared to proofreading data The total carbon emissions were 20 tons lower. 20 tons of carbon need to be adjusted upward. This 20 tons of carbon is related to the fall of Tamarix leaves, but because it is related to the calibration data The gap is large, and the later data The presence of obvious abnormalities indicates that a large number of Tamarix leaves may be necrotic.

[0099] In summary, the existence of the calibration area is not only for the correction of carbon sink resource data, but also provides a reference for the fall of Tamarix leaves. and proofreading data The difference between the two can be used to determine the amount of Tamarix leaf litter, and then the survival status of the Tamarix leaves can be analyzed according to the litter amount, so as to timely discover the hidden dangers of the Tamarix forest.

[0100] The second object of the present invention is to provide a method for a carbon sink data analysis and processing system for a Tamarix forest wetland ecosystem, comprising the following method steps:

[0101] S1. Based on the coverage data of Tamarix chinensis and the pre-entered carbon sink resource parameters of Tamarix chinensis in different types of land, the carbon sink resource data corresponding to the Tamarix chinensis forest in the target area is determined;

[0102] S2. Combined with the environmental information around the Tamarix forest, analyze the affected areas of the Tamarix forest when facing severe weather;

[0103] S3, obtaining characteristic information of Tamarix chinensis in the affected area, and matching the proofreading area with corresponding characteristic information according to the characteristic information, and the proofreading area needs to be in a monitored environment;

[0104] S4, constructing an abnormal damage database, recording the damage degree information of the proofreading area under different severe weather conditions, and obtaining the damaged area; and when the Tamarix forest is subjected to severe weather, matching the corresponding damaged area according to the meteorological data suffered;

[0105] S5. Obtain the carbon sink resource data of the Tamarix chinensis forest before and after it is subjected to severe weather, combine the carbon sink resource data of the Tamarix chinensis forest before it is subjected to severe weather with the damaged area, and calibrate the carbon sink resource data of the Tamarix chinensis forest after it is subjected to severe weather.

[0106] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A carbon sink data analysis and processing system for a Tamarix forest wetland ecosystem, characterized in that: It comprises a carbon sink data calculation module (100), a data proofreading information collection platform (200), and a data analysis and proofreading module (300); wherein: The carbon sink data calculation module (100) determines the carbon sink resource data corresponding to the Tamarix forest in the target area based on the Tamarix coverage data and the pre-entered carbon sink resource parameters of the Tamarix matching different types of land; the data proofreading information collection platform (200) at least comprises: An affected area collection module (210), wherein the affected area collection module (210) combines environmental information around the Tamarix forest to analyze the affected area of ​​the Tamarix forest when facing severe weather; A Tamarix feature matching module (220), the Tamarix feature matching module (220) acquiring feature information of Tamarix in the affected area, and matching a proofreading area having corresponding feature information according to the feature information, wherein the proofreading area needs to be in a monitored environment; and an abnormal weather processing module (230), the abnormal weather processing module (230) constructing an abnormal damage database, recording information on the degree of damage of the proofreading area under different severe weather conditions, and obtaining a damaged area; and matching a corresponding damaged area according to the meteorological data suffered when the tamarisk forest suffers from severe weather; The data analysis and proofreading module (300) obtains the carbon sink resource data of the Tamarix chinensis forest before and after it is exposed to severe weather, combines the carbon sink resource data of the Tamarix chinensis forest before it is exposed to severe weather with the damaged area, and proofreads the carbon sink resource data of the Tamarix chinensis forest after it is exposed to severe weather.

2. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 1, characterized in that: The method steps of the affected area acquisition module (210) for analyzing the affected area of ​​the Tamarix chinensis forest are as follows: S210A, obtaining image information of the Tamarix forest in the remote sensing image; S210B, identifying obstructions distributed around the Tamarix chinensis forest in the image information; S210C. Mark the Tamarix forest without any obstructions in the surrounding area as the affected area.

3. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 1, characterized in that: The method steps for the Tamarix feature matching module (220) to obtain feature information of Tamarix in the affected area are as follows: S220A, use UAV remote sensing technology to collect information on the affected area and generate remote sensing images; S220B, obtaining image information of the affected area in the remote sensing image; S220C. According to the image information in S220B, the distribution density and distribution shape of Tamarix chinensis in the affected area are obtained.

4. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 3 is characterized by: The method steps for the Tamarix chinensis feature matching module (220) to match the corresponding proofreading area are as follows: S220D, obtain the damage resistance of Tamarix chinensis, and generate Tamarix chinensis feature information in combination with the distribution density and distribution shape in S220C, and obtain all feature quantities in the Tamarix chinensis feature information ; S220E, obtain remote sensing images of parks in various cities through satellite remote sensing technology; S220F, based on the remote sensing images in S220E, obtain the damage resistance, distribution density, and distribution shape of different types of plants in the park, generate plant feature information, and obtain the number of features shared with the Tamarix chinensis feature information from the plant feature information ; S220G, set similarity threshold , when the number of common features / Total number of features ≥ Similarity threshold When the corresponding plant is located, the area is marked as the proofreading area.

5. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 4, characterized in that: Also includes the following method steps: S220H, obtain the public monitoring equipment in the proofreading area, establish a connection with the public monitoring equipment, and obtain the monitoring picture of the proofreading area.

6. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 4, characterized in that: The abnormal weather processing module (230) generates proofreading data in the following steps: S230A, obtaining a comparison picture of plants in the proofreading area before and after experiencing severe weather; S230B, identifying the damaged area of ​​the proofreading area through the comparison chart; S230C, obtaining weather conditions in the affected area, and when the same severe weather as in S230A occurs in the affected area, calculating the damaged area within the affected area.

7. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 6, characterized in that: The comparison chart in S230A can be obtained through the staff in the park.

8. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 6, characterized in that: The method steps for the data analysis and proofreading module (300) to proofread the carbon sink resource data are as follows: S300A, obtain the damaged area in the Tamarix forest coverage area The proportion of area ; S300B, mark the carbon sink resource data of the Tamarix forest before it was hit by bad weather as the previous data , marking the carbon sink resource data of Tamarix forest after being hit by severe weather as post-data ; S300C, calculation and proofreading data , proofread data =Previous data ; S300D, set the calibration threshold , when proofreading data - Post data ≤Proofreading threshold When the data is not correct Processing; when proofreading data - Post data >Proofreading threshold When the data is The data information is adjusted to the proofreading data The data information is consistent.

9. The carbon sink data analysis and processing system for the Tamarix forest wetland ecosystem according to claim 8, characterized in that: It also includes an abnormal littering identification unit (400) for analyzing the littering state of Tamarix chinensis leaves. The specific method steps are as follows: S400A, set abnormal fall threshold , when the data The increased data ≥ abnormal fall threshold When the leaf falling state of Tamarix chinensis is detected, the leaf falling state of Tamarix chinensis is marked as abnormal falling.

10. A method for the carbon sink data analysis and processing system of the Tamarix forest wetland ecosystem according to any one of claims 6 to 9, characterized in that: The method comprises the following steps: S1. Based on the coverage data of Tamarix chinensis and the pre-entered carbon sink resource parameters of Tamarix chinensis in different types of land, the carbon sink resource data corresponding to the Tamarix chinensis forest in the target area is determined; S2. Combined with the environmental information around the Tamarix forest, analyze the affected areas of the Tamarix forest when facing severe weather; S3, acquiring characteristic information of Tamarix chinensis in the affected area, and matching a proofreading area with corresponding characteristic information according to the characteristic information, and the proofreading area needs to be in a monitored environment; S4, constructing an abnormal damage database, recording the damage degree information of the proofreading area under different severe weather conditions, and obtaining the damaged area; and when the Tamarix forest is subjected to severe weather, matching the corresponding damaged area according to the meteorological data suffered; S5. Obtain the carbon sink resource data of the Tamarix chinensis forest before and after it is subjected to severe weather, combine the carbon sink resource data of the Tamarix chinensis forest before it is subjected to severe weather with the damaged area, and calibrate the carbon sink resource data of the Tamarix chinensis forest after it is subjected to severe weather.

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