Method and system for evaluating vegetation restoration state of coal mining subsidence area

Abstract

This invention relates to the field of image processing, specifically to a method and system for assessing the vegetation restoration status of coal mining subsidence areas. The method includes: acquiring the vegetation growth degree of the region corresponding to each pixel in each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage; obtaining the vegetation cover performance of each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage; and combining the average vegetation growth degree of the region corresponding to all pixels in each remote sensing image with the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage and its previous remote sensing image to obtain a comprehensive remediation score for each remediation stage. This invention aims to solve the problem that current assessments based on the last image of the subsidence area during a remediation stage often fail to accurately represent the remediation status.

Description

Technical Field

[0001] This invention relates to the field of image processing, and more specifically to a method and system for assessing the status of vegetation restoration in coal mining subsidence areas. Background Technology

[0002] In simple terms, vegetation restoration in coal mining subsidence areas is the process of rebuilding healthy, stable, and sustainable plant communities in areas where surface subsidence and original vegetation have been damaged due to coal mining, through human intervention sometimes supplemented by natural restoration. With the development of remote sensing monitoring and geographic information technology, the assessment methods for vegetation restoration status in coal mining subsidence areas have evolved from qualitative description to precision, dynamism, and comprehensiveness.

[0003] Current assessments of vegetation restoration in coal mining subsidence areas often rely on remote sensing imagery from a single period, using qualitative or semi-quantitative evaluations based on comparisons of indicators such as vegetation cover. This assessment method is largely post-hoc, relying primarily on scoring based on image data collected at a fixed point in time. However, real-world mine ecological restoration is often a continuously changing, non-linear process. Assessing restoration status based on image data from a fixed point in time fails to consider global dynamic changes, ultimately affecting the accuracy of the assessment results and the scientific rigor of restoration decisions. Summary of the Invention

[0004] This invention provides a method and system for assessing the vegetation restoration status in coal mining subsidence areas, in order to solve the problem that the assessment results obtained by using remote sensing images from a single time period cannot accurately reflect the restoration status.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] At fixed acquisition intervals, all remote sensing images of the coal mining subsidence area to be evaluated are acquired within each treatment stage.

[0007] The vegetation growth of each remote sensing image is obtained by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel by the sum of the values. The vegetation cover of each remote sensing image is obtained by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel by the sum of the values ​​...

[0008] Based on the vegetation cover performance of each remote sensing image and the average plant growth rate of the corresponding area of ​​all pixels in each remote sensing image, an initial vegetation restoration score is obtained for each remote sensing image.

[0009] The comprehensive governance score of the coal mining subsidence area under evaluation in each governance stage is obtained based on the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage and the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage and the previous remote sensing image, as well as the difference in the proportion of pixels with plant growth greater than 0 in the corresponding area of ​​the remote sensing image.

[0010] Furthermore, the specific calculation steps for obtaining the plant growth degree of the region corresponding to each pixel in each remote sensing image by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel in each remote sensing image by the sum of the values ​​are as follows:

[0011] ;

[0012] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Each pixel corresponds to the plant growth rate in its respective region. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Near-infrared reflectance value of each pixel This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first The infrared reflectance value of each pixel.

[0013] Furthermore, the specific calculation steps for obtaining the vegetation cover performance of each remote sensing image based on the proportion of pixels with a plant growth degree greater than 0 in the corresponding region of each remote sensing image, and the average plant growth degree of the corresponding region of all pixels in the image, are as follows:

[0014] If the coal mining subsidence area to be assessed is in the [number]th [year], The first governance phase In the remote sensing image, the first If the plant growth degree of the region corresponding to a pixel is less than or equal to 0, then the coal mining subsidence area to be evaluated will be in the 1st rank. The first governance phase In the remote sensing image, the first Each pixel is recorded as a non-vegetation pixel;

[0015] According to the coal mining subsidence area to be assessed in the first The first governance phase The number of non-vegetation pixels in the remote sensing image and the average vegetation growth rate of the corresponding regions of all pixels are used to determine the coal mining subsidence area to be evaluated in the [number of pixels in the image]. The first governance phase Vegetation cover representation in remote sensing images.

[0016] Furthermore, the assessment of the coal mining subsidence area in the first... The first governance phase The number of non-vegetation pixels in the remote sensing image and the average vegetation growth rate of the corresponding regions of all pixels are used to determine the coal mining subsidence area to be evaluated in the [number of pixels in the image]. The first governance phase The specific calculation steps for vegetation cover representation in Zhang's remote sensing images are as follows:

[0017] ;

[0018] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels in a remote sensing image that are not located in vegetation.

[0019] Furthermore, the specific calculation steps for obtaining the initial vegetation restoration score for each remote sensing image based on the vegetation cover performance of each remote sensing image and the average plant growth rate of the corresponding region of all pixels in each remote sensing image are as follows:

[0020] ;

[0021] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates the geographical division of the coal mining subsidence area to be assessed, and the number of coal mines within that division. Minimum vegetation cover performance at each stage of governance This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. It is an exponential function with the natural constant as its base; where the coal mining subsidence area to be evaluated is in the th... The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

[0022] Furthermore, the specific calculation steps for obtaining the comprehensive governance score of the coal mining subsidence area in each governance stage based on the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be evaluated in each governance stage, the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be evaluated in each governance stage and its previous remote sensing image, and the difference in the proportion of pixels with plant growth greater than 0 in the corresponding area of ​​the remote sensing image are as follows:

[0023] Based on the acquisition time of each remote sensing image collected in each treatment stage of the coal mining subsidence area to be evaluated and the initial vegetation restoration score, the comprehensive vegetation cover performance of the coal mining subsidence area to be evaluated in each treatment stage is obtained.

[0024] If the coal mining subsidence area to be assessed is in the [number]th [year], The first governance phase In the remote sensing image, the first If the plant growth degree of the region corresponding to a pixel is less than or equal to 0, then the coal mining subsidence area to be evaluated will be in the 1st rank. The first governance phase In the remote sensing image, the first Each pixel is recorded as a non-vegetation pixel;

[0025] According to the coal mining subsidence area to be assessed in the first The comprehensive vegetation cover performance of the coal mining subsidence area under assessment during each governance phase was observed in the [number]th phase. The differences in the initial vegetation restoration score between each remote sensing image and its predecessor within each governance stage, as well as the differences in the proportion of non-vegetation pixels in the image, are used to obtain the assessment of the coal mining subsidence area in the [number]th stage. Comprehensive governance score within each governance phase.

[0026] Furthermore, the specific calculation steps for obtaining the comprehensive vegetation cover performance of the coal mining subsidence area under evaluation in each remediation stage, based on the acquisition time of each remote sensing image collected in each remediation stage and the initial vegetation restoration score, are as follows:

[0027] ;

[0028] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. Indicates the first ordinal value. Indicates the second ordinal value. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase.

[0029] Furthermore, the assessment of the coal mining subsidence area in the first... The comprehensive vegetation cover performance of the coal mining subsidence area under assessment during each governance phase was observed in the [number]th phase. The differences in the initial vegetation restoration score between each remote sensing image and its predecessor within each governance stage, as well as the differences in the proportion of non-vegetation pixels in the image, are used to obtain the assessment of the coal mining subsidence area in the [number]th stage. The specific steps for calculating the comprehensive governance score within each governance stage are as follows:

[0030] ;

[0031] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. Comprehensive governance score within each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed was obtained on the [date / time]. The acquisition interval was set when collecting remote sensing images during each governance phase; among which, the coal mining subsidence area to be evaluated was in the [number]th phase. The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

[0032] The beneficial effects of the technical solution of the present invention are:

[0033] This invention, when scoring the vegetation restoration status of coal mining subsidence areas at each stage, firstly, based on the characteristic that the reflectivity of infrared light in the area where the vegetation is located is relatively weak while that of near-infrared light is relatively strong, it objectively calculates the vegetation cover performance of each image based on the near-infrared and infrared reflectivity values ​​of pixels in each remote sensing image, laying the groundwork for subsequent processing. Through long-term series analysis of the changing trends of the governance status score, it quantifies the strength of vegetation restoration momentum in each stage, thereby realizing the transformation from "single-point examination" to "process monitoring." It can accurately identify areas with lagging restoration, abnormal fluctuations, or strong momentum, providing a scientific basis for decision-making by mining area ecological restoration management departments. This helps to adjust management measures and optimize restoration strategies in a timely manner, ultimately promoting the sustainable development of ecological restoration in coal mining subsidence areas from qualitative description to precision, dynamism, and comprehensiveness. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1This is a flowchart illustrating the steps of the vegetation restoration status assessment method for coal mining subsidence areas according to an embodiment of the present invention. Detailed Implementation

[0036] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the method and system for assessing the vegetation restoration status in coal mining subsidence areas proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0038] Example 1:

[0039] This invention provides a method for assessing the status of vegetation restoration in coal mining subsidence areas, specifically as follows: Figure 1 As shown, it includes:

[0040] Step S001: At fixed acquisition intervals, acquire all remote sensing images of the coal mining subsidence area to be evaluated within each treatment stage.

[0041] Specifically, within each remediation stage of the coal mining subsidence area to be evaluated, remote sensing satellites are used to acquire all remote sensing images of the area in real time during each remediation stage at fixed intervals. In this embodiment, the preset acquisition interval is 30 days for the early remediation stage, 50 days for the mid-stage, and 70 days for the final remediation stage. This is used as an example; in other embodiments, the acquisition interval can be set to other values ​​depending on the specific coal mining subsidence area to be evaluated. A larger acquisition interval results in less computation but poorer real-time performance of the subsidence area's condition assessment; conversely, a smaller acquisition interval results in more computation but better real-time performance of the subsidence area's condition assessment. Furthermore, the coal mining subsidence area to be evaluated... The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

[0042] Thus, with a fixed acquisition interval, multiple remote sensing images of the coal mining subsidence area to be evaluated were obtained at each remediation stage.

[0043] Step S002: Based on the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel in each remote sensing image, divided by the sum, the plant growth degree of the corresponding area of ​​each pixel in each remote sensing image is obtained; based on the proportion of pixels with a plant growth degree greater than 0 in the corresponding area of ​​each remote sensing image, and the average plant growth degree of the corresponding area of ​​all pixels in the image, the vegetation cover performance of each remote sensing image is obtained.

[0044] It should be noted that when assessing the vegetation restoration status of a subsidence area within a remediation phase based on the collected images, the collected images must first be analyzed to obtain the vegetation restoration status of the subsidence area at the time each remote sensing image was collected. Then, based on the changes in vegetation restoration status across all remote sensing images collected within each phase, the remediation status of each phase is scored.

[0045] It should be further explained that when assessing the vegetation restoration status of subsidence areas based on acquired remote sensing images, it's important to note that vegetation has a weaker absorption capacity for near-infrared light, while its photosynthesis makes it stronger at absorbing infrared light. This means that when vegetation cover is good in a region, the corresponding pixels in the remote sensing image will have lower infrared reflectance values ​​and relatively higher near-infrared reflectance values. Therefore, the vegetation cover performance of each remote sensing image of the coal mining subsidence area to be assessed is determined by the difference between the infrared and near-infrared reflectance values ​​of each pixel in the remote sensing image, and by the number of pixels with infrared reflectance values ​​greater than near-infrared reflectance values.

[0046] Specifically, the coal mining subsidence area to be assessed was obtained in the [number]th [year]. The first governance phase In the remote sensing image, the first The specific formula for calculating the plant growth rate of the region corresponding to each pixel is as follows:

[0047] ;

[0048] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Each pixel corresponds to the plant growth rate in its respective region. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Near-infrared reflectance value of each pixel This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first The infrared reflectance value of a single pixel. Obtaining the infrared and near-infrared reflectance values ​​of a single pixel in a remote sensing image is a well-known technique and will not be elaborated upon in this embodiment.

[0049] It should be noted that, The larger the value, the higher the level of the coal mining subsidence area being evaluated. The first governance phase In the remote sensing image, the first The more a pixel corresponds to an area that matches the characteristics of vegetation areas, the stronger their reflectivity towards near-infrared waves and the weaker their reflectivity towards infrared waves; through Divide by The coming of the first In the remote sensing image, the first The region corresponding to each pixel is normalized to account for the difference in reflectivity between infrared and near-infrared light.

[0050] Furthermore, if The coal mining subsidence area to be evaluated will be on the [number]th [day]. The first governance phase In the remote sensing image, the first Each pixel is recorded as a non-vegetation pixel.

[0051] Furthermore, the coal mining subsidence area to be assessed was obtained in the [number]th [year]. The first governance phase The specific formula for calculating the vegetation cover representation of a remote sensing image is as follows:

[0052] ;

[0053] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels in a remote sensing image that are not located in vegetation.

[0054] It should be noted that, The larger the value, the higher the level of the coal mining subsidence area being evaluated. The first governance phase The better the vegetation growth in the area corresponding to a pixel in a remote sensing image, the better the vegetation growth. The larger the value, the larger the area of ​​vegetation cover in the coal mining subsidence area to be evaluated.

[0055] Thus, the vegetation cover performance of each remote sensing image of the coal mining subsidence area to be evaluated at each stage of the remediation process is obtained.

[0056] Step S003: Based on the vegetation cover performance of each remote sensing image and the average plant growth rate of the corresponding area of ​​all pixels in each remote sensing image, obtain the initial vegetation restoration score for each remote sensing image.

[0057] It should be noted that when assessing the vegetation restoration status of coal mining subsidence areas, the rate of vegetation recovery varies depending on the geographical region where the coal mine is located. For example, under normal circumstances, vegetation growth in humid southern regions is faster than in the Gobi Desert. Therefore, when assessing the vegetation restoration status of the subsidence area, the minimum vegetation cover in the region being assessed must also be considered. Then, by combining the vegetation cover data from each remote sensing image, an initial vegetation restoration score can be obtained for each remote sensing image.

[0058] Specifically, the coal mining subsidence area to be assessed was obtained in the [number]th [year]. The first governance phase The specific calculation formula for the initial vegetation restoration score of Zhang remote sensing images is as follows:

[0059] ;

[0060] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates the geographical division of the coal mining subsidence area to be assessed, and the number of coal mines within that division. Minimum vegetation cover performance at each stage of governance This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. This is an exponential function with a base of the natural constant, used in this embodiment to represent an inverse proportional relationship. Wherein, It is within the geographical region to which the coal mining subsidence area to be assessed belongs, using remote sensing satellites, and is located in the [missing information - likely a specific location or area]. The governance stage, and the vegetation cover performance meets the requirements of the first stage. Filming was conducted in coal mining subsidence areas that met the minimum standards at each stage of governance. The method for obtaining the average vegetation cover performance of coal mining subsidence areas that meet the standards is used, and this average is denoted as... In other embodiments, experts can set the criteria based on the ecological background of the coal mine area. Specifically, the coal mining subsidence area that meets the criteria in this section is located within the geographical zone to which the coal mining subsidence area to be evaluated belongs, and is situated in the [missing information - likely a specific location or section]. The governance stage, and the vegetation cover performance just meets the requirements of the first stage. The minimum standard for coal mining subsidence areas at each stage of governance. And the minimum standard for vegetation cover performance in coal mining subsidence areas within each geographical region, based on existing technology.

[0061] It should be noted that, The larger the value, the higher the level of the coal mining subsidence area being evaluated. The first governance phase The better the vegetation growth in the area corresponding to the remote sensing image, the better the vegetation growth. The larger the value, the stronger the relationship with the first... Compared to the minimum standards within each phase, the coal mining subsidence area to be assessed in the [phase name missing] phase [number missing] is [missing information]. The first governance phase The better the vegetation growth in the area corresponding to the remote sensing image, the better the vegetation growth. The larger the value, the better. The larger the value, the better. The smaller the value, The larger the value, the more one is added to the denominator to prevent the denominator from being zero in extreme cases.

[0062] Thus, the initial vegetation restoration score for each remote sensing image of the coal mining subsidence area to be evaluated at each stage of the remediation process is obtained.

[0063] Step S004: Based on the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be evaluated in each treatment stage, the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be evaluated in each treatment stage and the previous remote sensing image, and the difference in the proportion of pixels with plant growth greater than 0 in the corresponding area of ​​the remote sensing image, the comprehensive treatment score of the coal mining subsidence area to be evaluated in each treatment stage is obtained.

[0064] It should be noted that vegetation restoration in coal mining subsidence areas is a lengthy process at each stage. Under normal circumstances, vegetation cover in subsidence areas should gradually increase during restoration. Therefore, to obtain comprehensive vegetation cover performance in coal mining subsidence areas at each stage, it is necessary to extend the analysis timeline. By comparing the specific changes in vegetation restoration status in each coal mining subsidence area over a long time series, it is possible to infer whether the vegetation restoration status of the coal mining subsidence area is in a long-term normal phase without any significant unexpected events. Therefore, when calculating the vegetation restoration status of each remote sensing image at a given time, it is also necessary to consider whether the vegetation restoration score reflected in the acquired remote sensing image is gradually increasing to obtain the comprehensive governance score for each governance stage.

[0065] It should be further noted that when deriving the comprehensive governance score for each governance stage based on the initial vegetation restoration scores from multiple remote sensing images within a governance stage, the vegetation restoration process in coal mining subsidence areas is a lengthy one. Therefore, when calculating the comprehensive governance score for each governance stage, the initial vegetation restoration scores from multiple remote sensing images within each governance stage should also be considered. Furthermore, to ensure real-time performance, the initial vegetation restoration scores should be weighted according to the acquisition time of each remote sensing image.

[0066] Specifically, the coal mining subsidence area to be assessed was obtained in the [number]th [year]. The specific calculation formulas for the comprehensive vegetation cover performance within each governance stage are as follows:

[0067] ;

[0068] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. Indicates the first ordinal value. Indicates the second ordinal value. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase.

[0069] It should be noted that, based on the coal mining subsidence area to be assessed, in the [number]th [year]... The initial vegetation restoration score of all remote sensing images within each governance phase was used to obtain the initial vegetation restoration score of the coal mining subsidence area to be evaluated in the [number]th phase. When assessing the overall vegetation cover performance within each governance phase, to meet real-time requirements, a higher weight is assigned to the initial vegetation restoration score of remote sensing images acquired later.

[0070] Furthermore, the coal mining subsidence area to be assessed was obtained in the [number]th [year]. The specific calculation formula for the comprehensive governance score within each governance stage is as follows:

[0071] ;

[0072] In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. Comprehensive governance score within each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed was obtained on the [date / time]. The acquisition interval was set when collecting remote sensing images during each governance phase; among which, the coal mining subsidence area to be evaluated was in the [number]th phase. The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

[0073] It should be noted that, The larger the value, the stronger the correlation with the first... The first governance phase Compared to the coal mining subsidence area in the acquisition time of Zhang's remote sensing images, the first... The first governance phase The better the vegetation restoration in the coal mining subsidence area, the better the acquisition time of the remote sensing images; The larger the value, the higher the level of the coal mining subsidence area being evaluated. In each stage of the remediation process, the vegetation in the coal mining subsidence area should gradually improve during restoration, as is the case under normal circumstances.

[0074] Thus, the comprehensive governance score of the coal mining subsidence area to be evaluated in each governance stage is obtained.

[0075] This concludes the embodiment.

[0076] Another embodiment of the present invention provides a vegetation restoration status assessment system for coal mining subsidence areas. The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the above-described method steps S001 to S004.

Claims

1. A method for assessing the status of vegetation restoration in coal mining subsidence areas, characterized in that, The method includes the following steps: At fixed acquisition intervals, all remote sensing images of the coal mining subsidence area to be evaluated are acquired within each treatment stage. The vegetation growth of each remote sensing image is obtained by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel by the sum of the values. The vegetation cover of each remote sensing image is obtained by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel by the sum of the values ​​... Based on the vegetation cover performance of each remote sensing image and the average plant growth rate of the corresponding area of ​​all pixels in each remote sensing image, an initial vegetation restoration score is obtained for each remote sensing image. The comprehensive governance score of the coal mining subsidence area under evaluation in each governance stage is obtained based on the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage and the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage and the previous remote sensing image, as well as the difference in the proportion of pixels with plant growth greater than 0 in the corresponding area of ​​the remote sensing image.

2. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 1, characterized in that, The specific steps for calculating the plant growth degree of the region corresponding to each pixel in each remote sensing image, by dividing the difference between the near-infrared reflectance value and the infrared reflectance value of each pixel in each remote sensing image by the sum of the values, are as follows: ； In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Each pixel corresponds to the plant growth rate in its respective region. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first Near-infrared reflectance value of each pixel This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase In the remote sensing image, the first The infrared reflectance value of each pixel.

3. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 1, characterized in that, The specific calculation steps for obtaining the vegetation cover performance of each remote sensing image based on the proportion of pixels with a plant growth degree greater than 0 in the corresponding area of ​​each remote sensing image, and the average plant growth degree of the corresponding area of ​​all pixels in the image, are as follows: If the coal mining subsidence area to be assessed is in the [number]th [year], The first governance phase In the remote sensing image, the first If the plant growth degree of the region corresponding to the pixel is less than or equal to 0, then the coal mining subsidence area to be evaluated will be in the 1st rank. The first governance phase In the remote sensing image, the first Each pixel is recorded as a non-vegetation pixel; According to the coal mining subsidence area to be assessed in the first The first governance phase The number of non-vegetation pixels in the remote sensing image and the average vegetation growth rate of the corresponding regions of all pixels are used to determine the coal mining subsidence area to be evaluated in the [number of pixels in the image]. The first governance phase Vegetation cover representation in remote sensing images.

4. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 3, characterized in that, The coal mining subsidence area to be evaluated is in the first The first governance phase The number of non-vegetation pixels in the remote sensing image and the average vegetation growth rate of the corresponding regions of all pixels are used to determine the coal mining subsidence area to be evaluated in the [number of pixels in the image]. The first governance phase The specific calculation steps for vegetation cover representation in Zhang's remote sensing images are as follows: ； In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels in a remote sensing image that are not located in vegetation.

5. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 1, characterized in that, The specific calculation steps for obtaining the initial vegetation restoration score for each remote sensing image based on the vegetation cover performance of each image and the average plant growth rate of the corresponding region of all pixels in each image are as follows: ； In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates the geographical zone to which the coal mining subsidence area to be assessed belongs, and the coal mines within that zone are located in the [missing information - likely a specific geographical area or region]. Minimum vegetation cover performance at each stage of governance This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Vegetation cover representation in remote sensing images This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The mean of plant growth in the region corresponding to all pixels in a remote sensing image. It is an exponential function with the natural constant as its base.

6. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 1, characterized in that, The specific calculation steps for obtaining the comprehensive governance score of the coal mining subsidence area under evaluation in each governance stage are as follows: Based on the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage, the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area under evaluation in each governance stage and its previous remote sensing image, and the difference in the proportion of pixels with a plant growth degree greater than 0 in the corresponding area of ​​the remote sensing image. Based on the acquisition time of each remote sensing image of the coal mining subsidence area to be evaluated in each treatment stage and the initial vegetation restoration score, the comprehensive vegetation cover performance of the coal mining subsidence area to be evaluated in each treatment stage is obtained. If the coal mining subsidence area to be assessed is in the [number]th [year], The first governance phase In the remote sensing image, the first If the plant growth degree of the region corresponding to the pixel is less than or equal to 0, then the coal mining subsidence area to be evaluated will be in the 1st rank. The first governance phase In the remote sensing image, the first Each pixel is recorded as a non-vegetation pixel; According to the coal mining subsidence area to be assessed in the first The comprehensive vegetation cover performance during each governance phase, and the coal mining subsidence area to be assessed in the [number]th phase. The differences in the initial vegetation restoration score between each remote sensing image and its predecessor within each governance stage, as well as the differences in the proportion of non-vegetation pixels in the image, are used to obtain the assessment of the coal mining subsidence area in the [number]th stage. Comprehensive governance score within each governance phase.

7. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 6, characterized in that, The specific calculation steps for obtaining the comprehensive vegetation cover performance of the coal mining subsidence area under evaluation in each treatment stage, based on the acquisition time of each remote sensing image collected in each treatment stage and the initial vegetation restoration score, are as follows: ； In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. Indicates the first ordinal value. Indicates the second ordinal value. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase; among which the coal mining subsidence area to be assessed was in the [number missing] phase. The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

8. The method for assessing the vegetation restoration status in coal mining subsidence areas according to claim 6, characterized in that, The coal mining subsidence area to be evaluated is in the first The comprehensive vegetation cover performance during each governance phase, and the coal mining subsidence area to be assessed in the [number]th phase. The differences in the initial vegetation restoration score between each remote sensing image and its predecessor within each governance stage, as well as the differences in the proportion of non-vegetation pixels in the image, are used to obtain the assessment of the coal mining subsidence area in the [number]th stage. The specific steps for calculating the comprehensive governance score within each governance stage are as follows: ； In the formula, This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. Comprehensive governance score within each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The number of remote sensing images collected during each governance phase This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase Initial score for vegetation restoration from remote sensing images. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of pixels contained in a remote sensing image This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The first governance phase The number of non-vegetation pixels in a remote sensing image. This indicates that the coal mining subsidence area to be assessed is in the [number]th [year]. The overall vegetation cover performance during each governance phase This indicates that the coal mining subsidence area to be assessed was obtained on the [date / time]. The acquisition interval was set when collecting remote sensing images during each governance phase; among which, the coal mining subsidence area to be evaluated was in the [number]th phase. The first governance phase The acquisition time of Zhang's remote sensing images is greater than the time taken in the first... The first governance phase The acquisition time of the remote sensing images.

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