Ecological restoration comprehensive monitoring and evaluation method and system and application medium

Abstract

The invention provides an ecological restoration comprehensive monitoring evaluation method and system and an application medium. The evaluation method comprises the following steps: S1, acquiring ecological monitoring image data shot by a low-altitude unmanned aerial vehicle; and S2, judging the ecological restoration condition according to the ecological monitoring image data shot by the low-altitude unmanned aerial vehicle in the step S1. According to the invention, the ecological monitoring image data shot by the low-altitude unmanned aerial vehicle can be analyzed to obtain the restoration condition of the image shooting area.

Description

Technical Field

[0001] The present invention relates to the field of ecological environment technology, and in particular to an ecological restoration comprehensive monitoring and evaluation method, system and application medium. Background Art

[0002] With the rapid development of economy and science and technology and the rapid growth of the global economy, the relationship between man and the natural environment faces new problems, making human beings "conquer" nature all over the world. Human activities are changing the earth's ecosystem. Environmental problems have gradually developed from regional problems to global problems affecting countries around the world, and a series of hot issues that have attracted the attention of the international community have emerged. Forests are the lungs of the earth, the green treasure house of nature, and the pillar of ecological balance. The role played by forests in maintaining ecology is incomparable. Patent application number 2021113191721, named "UAV forest resources and ecological environment monitoring system", discloses that it uses drones to fly non-continuously in the forest area to obtain high-resolution images of sampling points in the forest area and to carry a multi-factor forest environment monitoring and data acquisition system to obtain ecological environment monitoring factors. Through real-time monitoring of meteorological indicators such as temperature, humidity, wind force, wind direction, etc., it provides basic meteorological data support for forest fire risk, forest pests and diseases, forest air quality, etc., and realizes efficient monitoring of forest resources and ecological environment, but the invention cannot be explained for environmental restoration. Summary of the invention

[0003] The present invention aims to at least solve the technical problems existing in the prior art, and in particular innovatively proposes a comprehensive monitoring and evaluation method, system and application medium for ecological restoration.

[0004] In order to achieve the above-mentioned object of the present invention, the present invention provides a comprehensive monitoring and evaluation method for ecological restoration, comprising the following steps:

[0005] S1, obtain ecological monitoring image data taken by low-altitude drones;

[0006] S2, judging the ecological restoration status according to the ecological monitoring image data taken by the low-altitude drone in step S1.

[0007] In a preferred embodiment of the present invention, the method for judging the ecological restoration status in step S2 according to the ecological monitoring image data taken by the low-altitude drone in step S1 includes the following steps:

[0008] S21, performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1;

[0009] S22, judging the ecological restoration status of the ecological monitoring image data processed in step S21.

[0010] In a preferred embodiment of the present invention, the method for performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1 in step S21 is:

[0011] The ecological monitoring image data in step S1 is filtered to obtain filtered ecological monitoring image data.

[0012] In a preferred embodiment of the present invention, in step S21, the ecological monitoring image data in step S1 is filtered out, and the method for obtaining the filtered ecological monitoring image data includes the following steps:

[0013] S211, counting the number of ecological monitoring image data obtained in step S1, recorded as M; respectively, the first ecological monitoring image, the second ecological monitoring image, the third ecological monitoring image, ..., the Mth ecological monitoring image; let the image sequence number j = 1;

[0014] S212, calculating the jth reserved code for the jth ecological monitoring image, and determining whether the jth reserved code exists in the reserved code determination set:

[0015] If the jth reserved code exists in the reserved code judgment set, the jth reserved code and the jth ecological monitoring image corresponding to the jth reserved code are screened out, j=j+1; and the next step is executed;

[0016] If the jth reserved code does not exist in the reserved code judgment set, the jth reserved code is saved in the reserved code judgment set, and the mth ecological monitoring image corresponding to the jth reserved code is retained in the image retention set, j=j+1; execute the next step;

[0017] S213, determine the size relationship between j and M:

[0018] If j≤M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then execute step S212;

[0019] If j>M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then all ecological monitoring images in the image retention set are the filtered ecological monitoring image data.

[0020] In a preferred embodiment of the present invention, the method for calculating the jth reserved code for the jth ecological monitoring image in step S212 is:

[0021] Retentioncode j =Retentioncodecalculateway(Ecologicalresourcesimage j ),

[0022] Among them, Retentioncode j represents the jth reserved code;

[0023] Retentioncodecalculateway() represents the j-th retention code calculation method, preferably using the digest algorithm MD5;

[0024] Ecologicalresourcesimage j represents the jth ecological monitoring image;

[0025] Ecologicalresourcesimage={Ecologicalresourcesimage1,

[0026] Ecologicalresourcesimage2,Ecologicalresourcesimage3,……,Ecologicalresourcesimage M}, where Ecologicalresourcesimage represents the ecological monitoring image set composed of the ecological monitoring image data taken by the low-altitude UAV in step S1, Ecologicalresourcesimage1 represents the first ecological monitoring image, Ecologicalresourcesimage2 represents the second ecological monitoring image, Ecologicalresourcesimage3 represents the third ecological monitoring image, and Ecologicalresourcesimage M Represents the Mth ecological monitoring image, Ecologicalresourcesimage j ∈Ecologicalresourcesimage.

[0027] In a preferred embodiment of the present invention, the method for judging the ecological restoration status of the ecological monitoring image data processed in step S21 in step S22 includes the following steps:

[0028] S221, set k=1;

[0029] S222, obtain the pixel values ​​of the three channels of the k-th image, which are RED(x k′ ,y k′ )、GREEN(x k′ ,y k′ )、BLUE(x k′ ,y k′ );

[0030] RED(x k′ ,yk′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the red channel at ;

[0031] GREEN(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the green channel at ;

[0032] BLUE(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the blue channel at ;

[0033] x k′ =1, 2, 3, ..., X k′ ;X k′ Indicates the number of pixels in the k-th image in the X-axis direction;

[0034] y k′ =1, 2, 3, ..., Y k′ ; Y k′ Indicates the number of pixels in the Y-axis direction of the k-th image;

[0035] S223, That is, if GREEN(x k′ ,y k′ )≥GREEN0&RED(x k′ ,y k′ )≤RED0&BLUE(x k′ ,y k′ )≤BLUE0, GREEN0 represents the preset green channel pixel value, RED0 represents the preset red channel pixel value, BLUE0 represents the preset blue channel pixel value, & represents the logical relationship and, if represents if; then W(x k′ ,y k′ )=1; otherwise W(x k′ ,y k′ )=0;

[0036] W k =∑W(x k′ ,y k′ ) is to accumulate and sum the k-th image to obtain the k-th image judgment value;

[0037] S224, judge W k The relationship between W0 and the

[0038] If W k ≥W0,Wk represents the judgment value of the kth image, W0 represents the preset judgment threshold, then the image is retained; the ecological restoration status level is judged according to the image, and the next step is executed;

[0039] If W k <W0,W k represents the kth image judgment value, W0 represents the preset judgment threshold, then the area corresponding to the image is unqualified for ecological environment restoration; execute the next step;

[0040] S225, determine the size relationship between k and K:

[0041] If k<K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then k=k+1, and step S222 is executed;

[0042] If k ≥ K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then the process ends.

[0043] In a preferred embodiment of the present invention, the method for judging the ecological restoration status level according to the image in step S224 includes the following steps:

[0044] S2241, obtain the pixel values ​​of the three channels of the retained image, which are

[0045] Indicates Keep the image at the pixel level The pixel value of the red channel at ;

[0046] Indicates Keep the image at the pixel level The pixel value of the green channel at ;

[0047] Indicates Keep the image at the pixel level The pixel value of the blue channel at ;

[0048] Indicates Keep the number of pixels of the image in the X-axis direction; Indicates Keep the number of pixels of the image in the Y-axis direction;

[0049] S2242, That is, if but if

[0050] but if but GREEN0 represents the preset green channel pixel value, GREEN′ represents the preset green channel first pixel value, GREEN′>GREEN0; RED0 represents the preset red channel pixel value, RED′ represents the preset red channel first pixel value, RED0>RED′; BLUE0 represents the preset blue channel pixel value, BLUE′ represents the preset blue channel first pixel value; & represents the logical relationship and, if represents if; η3>η2>η1>0; η1 represents the preset first ecological value, η2 represents the preset second ecological value, and η3 represents the preset third ecological value;

[0051] That is to Keep the image and add it up to get the Image ecological value;

[0052] S2243, if Q0 represents the preset first ecological total value, and the area corresponding to the image is excellent in ecological environmental restoration;

[0053] like Q0′ represents the preset second ecological total value, and the area corresponding to the image is qualified for ecological environment restoration;

[0054] like Q0 represents the preset first ecological total value, Q0′ represents the preset second ecological total value, and if Q0>Q0′, the area corresponding to the image has good ecological environment restoration;

[0055] S2243, judgment The relationship between ε and ε is:

[0056] like represents the reserved image sequence number, ε represents the number of reserved images; then Execute step S2241;

[0057] like Indicates the reserved image sequence number, ε indicates the number of reserved images; then it ends.

[0058] The present invention also discloses an ecological restoration comprehensive monitoring and evaluation system, including an ecological monitoring image data shooting module and an ecological restoration status judgment module;

[0059] The data output terminal of the ecological monitoring image data shooting module is connected to the data input terminal of the ecological restoration status judgment module;

[0060] The ecological monitoring image data shooting module is used to obtain ecological monitoring image data shot by low-altitude drones;

[0061] The ecological restoration status judgment module is used to judge the ecological restoration status based on the ecological monitoring image data taken by the low-altitude drone in the ecological monitoring image data shooting module.

[0062] In a preferred embodiment of the present invention, the method for judging the ecological restoration status in the ecological restoration status judgment module based on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data shooting module comprises the following steps:

[0063] S21, performing image processing on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data photographing module;

[0064] S22, analyzing the ecological restoration status of the ecological monitoring image data processed in step S21.

[0065] The present invention also discloses a computer system, comprising:

[0066] processor;

[0067] a memory for storing processor-executable instructions;

[0068] Among them, the processor is configured to implement the comprehensive monitoring and evaluation method for ecological restoration when executing the executable instructions.

[0069] The present invention also discloses a computer-readable storage medium, comprising:

[0070] a memory having a computer program stored thereon;

[0071] A processor is used to execute the program in the memory to implement the comprehensive monitoring and evaluation method for ecological restoration.

[0072] In summary, due to the adoption of the above-mentioned technical solution, the present invention can use the ecological monitoring image data taken by low-altitude drones to analyze and obtain the environmental restoration status of the image shooting area.

[0073] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0075] Figure 1 It is a schematic block diagram of the process of the present invention.

[0076] Figure 2 It is a schematic diagram of low-altitude UAV photography of the present invention. DETAILED DESCRIPTION

[0077] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0078] The present invention provides a comprehensive monitoring and evaluation method for ecological restoration, such as Figures 1-2 As shown, the following steps are included:

[0079] S1, obtaining ecological monitoring image data taken by a low-altitude UAV; wherein the format of the ecological monitoring image data taken by the low-altitude UAV is one of TIFF, JPEG2000, IMG, ECW, MrSID or any combination thereof.

[0080] S2, judging the ecological restoration status according to the ecological monitoring image data taken by the low-altitude drone in step S1.

[0081] In a preferred embodiment of the present invention, the method for judging the ecological restoration status in step S2 according to the ecological monitoring image data taken by the low-altitude drone in step S1 includes the following steps:

[0082] S21, performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1;

[0083] S22, judging the ecological restoration status of the ecological monitoring image data processed in step S21.

[0084] In a preferred embodiment of the present invention, the method for performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1 in step S21 is:

[0085] The ecological monitoring image data in step S1 is filtered to obtain filtered ecological monitoring image data.

[0086] In a preferred embodiment of the present invention, in step S21, the ecological monitoring image data in step S1 is filtered out, and the method for obtaining the filtered ecological monitoring image data includes the following steps:

[0087] S211, counting the number of ecological monitoring image data obtained in step S1, recorded as M; respectively, the first ecological monitoring image, the second ecological monitoring image, the third ecological monitoring image, ..., the Mth ecological monitoring image; let the image sequence number j = 1;

[0088] S212, calculating the jth reserved code for the jth ecological monitoring image, and determining whether the jth reserved code exists in the reserved code determination set:

[0089] If the jth reserved code exists in the reserved code judgment set, the jth reserved code and the jth ecological monitoring image corresponding to the jth reserved code are screened out, j=j+1; and the next step is executed;

[0090] If the jth reserved code does not exist in the reserved code judgment set, the jth reserved code is saved in the reserved code judgment set, and the mth ecological monitoring image corresponding to the jth reserved code is retained in the image retention set, j=j+1; execute the next step;

[0091] S213, determine the size relationship between j and M:

[0092] If j≤M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then execute step S212;

[0093] If j>M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then all ecological monitoring images in the image retention set are the filtered ecological monitoring image data.

[0094] In a preferred embodiment of the present invention, the method for calculating the jth reserved code for the jth ecological monitoring image in step S212 is:

[0095] Retentioncode j =Retentioncodecalculateway(Ecologicalresourcesimage j ),

[0096] Among them, Retentioncode j represents the jth reserved code;

[0097] Retentioncodecalculateway() represents the j-th retention code calculation method, preferably using the digest algorithm MD5;

[0098] Ecologicalresourcesimage j represents the jth ecological monitoring image;

[0099] Ecologicalresourcesimage={Ecologicalresourcesimage1,

[0100] Ecologicalresourcesimage2,Ecologicalresourcesimage3,……,Ecologicalresourcesimage M}, where Ecologicalresourcesimage represents the ecological monitoring image set composed of the ecological monitoring image data taken by the low-altitude UAV in step S1, Ecologicalresourcesimage1 represents the first ecological monitoring image, Ecologicalresourcesimage2 represents the second ecological monitoring image, Ecologicalresourcesimage3 represents the third ecological monitoring image, and Ecologicalresourcesimage M Represents the Mth ecological monitoring image, Ecologicalresourcesimage j ∈Ecologicalresourcesimage.

[0101] In a preferred embodiment of the present invention, the method for judging the ecological restoration status of the ecological monitoring image data processed in step S21 in step S22 includes the following steps:

[0102] S221, set k=1;

[0103] S222, obtain the pixel values ​​of the three channels of the k-th image, which are RED(x k′ ,y k′ )、GREEN(x k′ ,y k′ )、BLUE(x k′ ,y k′ );

[0104] RED(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the red channel at ;

[0105] GREEN(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the green channel at ;

[0106] BLUE(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the blue channel at ;

[0107] x k′ =1, 2, 3, ..., X k′ ;X k′ Indicates the number of pixels in the k-th image in the X-axis direction;

[0108] y k′ =1, 2, 3, ..., Y k′ ; Y k′ Indicates the number of pixels in the Y-axis direction of the k-th image;

[0109] S223, That is, if GREEN(x k′ ,y k′ )≥GREEN0&RED(x k′ ,y k′ )≤RED0&BLUE(x k′ ,y k′ )≤BLUE0, GREEN0 represents the preset green channel pixel value, RED0 represents the preset red channel pixel value, BLUE0 represents the preset blue channel pixel value, & represents the logical relationship and, if represents if; then W(x k′ ,y k′ )=1; otherwise W(x k′ ,y k′ )=0;

[0110] W k =∑W(x k′ ,y k′ ) is to accumulate and sum the k-th image to obtain the k-th image judgment value;

[0111] S224, judge W k The relationship between W0 and the

[0112] If W k ≥W0,W k represents the judgment value of the kth image, W0 represents the preset judgment threshold, then the image is retained; the ecological restoration status level is judged according to the image, and the next step is executed;

[0113] If W k <W0,W k represents the kth image judgment value, W0 represents the preset judgment threshold, then the area corresponding to the image is unqualified for ecological environment restoration; execute the next step;

[0114] S225, determine the size relationship between k and K:

[0115] If k<K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then k=k+1, and step S222 is executed;

[0116] If k ≥ K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then the process ends.

[0117] In a preferred embodiment of the present invention, the method for judging the ecological restoration status level according to the image in step S224 includes the following steps:

[0118] S2241, obtain the pixel values ​​of the three channels of the retained image, which are

[0119] Indicates Keep the image at the pixel level The pixel value of the red channel at ;

[0120] Indicates Keep the image at the pixel level The pixel value of the green channel at ;

[0121] Indicates Keep the image at the pixel level The pixel value of the blue channel at ;

[0122] Indicates Keep the number of pixels of the image in the X-axis direction; Indicates Keep the number of pixels of the image in the Y-axis direction;

[0123] S2242, That is, if but if

[0124] but if but GREEN0 represents the preset green channel pixel value, GREEN′ represents the preset green channel first pixel value, GREEN′>GREEN0; RED0 represents the preset red channel pixel value, RED′ represents the preset red channel first pixel value, RED0>RED′; BLUE0 represents the preset blue channel pixel value, BLUE′ represents the preset blue channel first pixel value; & represents the logical relationship and, if represents if; η3>η2>η1>0; η1 represents the preset first ecological value, η2 represents the preset second ecological value, and η3 represents the preset third ecological value;

[0125] That is to Keep the image and add it up to get the Image ecological value;

[0126] S2243, if Q0 represents the preset first ecological total value, and the area corresponding to the image is excellent in ecological environmental restoration;

[0127] like Q0′ represents the preset second ecological total value, and the area corresponding to the image is qualified for ecological environment restoration;

[0128] like Q0 represents the preset first ecological total value, Q0′ represents the preset second ecological total value, and if Q0>Q0′, the area corresponding to the image has good ecological environment restoration;

[0129] S2243, judgment The relationship between ε and ε is:

[0130] like represents the reserved image sequence number, ε represents the number of reserved images; then Execute step S2241;

[0131] like Indicates the reserved image sequence number, ε indicates the number of reserved images; then it ends.

[0132] The present invention also discloses an ecological restoration comprehensive monitoring and evaluation system, including an ecological monitoring image data shooting module and an ecological restoration status judgment module;

[0133] The data output terminal of the ecological monitoring image data shooting module is connected to the data input terminal of the ecological restoration status judgment module;

[0134] The ecological monitoring image data shooting module is used to obtain ecological monitoring image data shot by low-altitude drones;

[0135] The ecological restoration status judgment module is used to judge the ecological restoration status based on the ecological monitoring image data taken by the low-altitude drone in the ecological monitoring image data shooting module.

[0136] In a preferred embodiment of the present invention, the method for judging the ecological restoration status in the ecological restoration status judgment module based on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data shooting module comprises the following steps:

[0137] S21, performing image processing on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data photographing module;

[0138] S22, analyzing the ecological restoration status of the ecological monitoring image data processed in step S21.

[0139] The present invention also discloses a computer system, comprising:

[0140] processor;

[0141] a memory for storing processor-executable instructions;

[0142] Among them, the processor is configured to implement the comprehensive monitoring and evaluation method for ecological restoration when executing the executable instructions.

[0143] The present invention also discloses a computer-readable storage medium, comprising:

[0144] a memory having a computer program stored thereon;

[0145] A processor is used to execute the program in the memory to implement the comprehensive monitoring and evaluation method for ecological restoration.

[0146] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A comprehensive monitoring and evaluation method for ecological restoration, characterized in that: The following steps are involved: S1, obtain ecological monitoring image data taken by low-altitude drones; S2, judging the ecological restoration status according to the ecological monitoring image data taken by the low-altitude drone in step S1.

2. The comprehensive monitoring and evaluation method for ecological restoration according to claim 1 is characterized in that: The method for determining the ecological restoration status according to the ecological monitoring image data taken by the low-altitude drone in step S1 in step S2 includes the following steps: S21, performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1; S22, analyzing the ecological restoration status of the ecological monitoring image data processed in step S21.

3. The comprehensive monitoring and evaluation method for ecological restoration according to claim 1 is characterized in that: In step S21, the method for performing image processing on the ecological monitoring image data taken by the low-altitude drone in step S1 is: The ecological monitoring image data in step S1 is filtered to obtain filtered ecological monitoring image data.

4. The comprehensive monitoring and evaluation method for ecological restoration according to claim 1 is characterized in that: In step S21, the ecological monitoring image data in step S1 is filtered out to obtain the filtered ecological monitoring image data, which includes the following steps: S211, counting the number of ecological monitoring image data obtained in step S1, recorded as M; respectively, the first ecological monitoring image, the second ecological monitoring image, the third ecological monitoring image, ..., the Mth ecological monitoring image; let the image sequence number j = 1; S212, calculating the jth reserved code for the jth ecological monitoring image, and determining whether the jth reserved code exists in the reserved code determination set: If the jth reserved code exists in the reserved code judgment set, the jth reserved code and the jth ecological monitoring image corresponding to the jth reserved code are screened out, j=j+1; and the next step is executed; If the jth reserved code does not exist in the reserved code judgment set, the jth reserved code is saved in the reserved code judgment set, and the mth ecological monitoring image corresponding to the jth reserved code is retained in the image retention set, j=j+1; execute the next step; S213, determine the size relationship between j and M: If j≤M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then execute step S212; If j>M, j represents the image sequence number, and M represents the number of ecological monitoring image data in step S1, then all ecological monitoring images in the image retention set are the filtered ecological monitoring image data.

5. The comprehensive monitoring and evaluation method for ecological restoration according to claim 1 is characterized in that: The method for judging the ecological restoration status of the ecological monitoring image data processed in step S21 in step S22 includes the following steps: S221, set k=1; S222, obtain the pixel values ​​of the three channels of the k-th image, which are RED(x k′ ,y k′ )、GREEN(x k′ ,y k′ )、BLUE(x k′ ,y k′ ); RED(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the red channel at ; GREEN(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the green channel at ; BLUE(x k′ ,y k′ ) indicates that the kth image is at pixel (x k′ ,y k′ ) is the pixel value of the blue channel at ; x k′ =1, 2, 3, ..., X k′ ;X k′ Indicates the number of pixels in the k-th image in the X-axis direction; y k′ =1, 2, 3, ..., Y k′ ; Y k′ Indicates the number of pixels in the Y-axis direction of the k-th image; S223, That is, if GREEN(x k′ ,y k′ )≥GREEN0&RED(x k′ ,y k′ )≤RED0&BLUE(x k′ ,y k′ )≤BLUE0, GREEN0 represents the preset green channel pixel value, RED0 represents the preset red channel pixel value, BLUE0 represents the preset blue channel pixel value, & represents the logical relationship and, if represents if; then W(x k′ ,y k′ )=1; otherwise W(x k′ ,y k′ )=0; W k =∑W(x k′ ,y k′ ) is to accumulate and sum the k-th image to obtain the k-th image judgment value; S224, judge W k The relationship between W0 and the If W k ≥W0,W k represents the judgment value of the kth image, W0 represents the preset judgment threshold, then the image is retained; the ecological restoration status level is judged according to the image, and the next step is executed; If W k <W0,W k represents the kth image judgment value, W0 represents the preset judgment threshold, then the area corresponding to the image is unqualified for ecological environment restoration; execute the next step; S225, determine the size relationship between k and K: If k<K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then k=k+1, and step S222 is executed; If k ≥ K, K represents the number of ecological monitoring image data after filtering, and k represents the image sequence number, then the process ends.

6. The comprehensive monitoring and evaluation method for ecological restoration according to claim 1 is characterized in that: The method for determining the ecological restoration status level according to the image in step S224 includes the following steps: S2241, obtain the pixel values ​​of the three channels of the retained image, which are Indicates Keep the image at the pixel level The pixel value of the red channel at ; Indicates Keep the image at the pixel level The pixel value of the green channel at ; Indicates Keep the image at the pixel level The pixel value of the blue channel at ; Indicates Keep the number of pixels of the image in the X-axis direction; Indicates Keep the number of pixels of the image in the Y-axis direction; S2242, That is, if but if but if but GREEN0 represents the preset green channel pixel value, GREEN′ represents the preset green channel first pixel value, GREEN′>GREEN0; RED0 represents the preset red channel pixel value, RED′ represents the preset red channel first pixel value, RED0>RED′; BLUE0 represents the preset blue channel pixel value, BLUE′ represents the preset blue channel first pixel value; & represents the logical relationship and, if represents if; η3>η2>η1>0; η1 represents the preset first ecological value, η2 represents the preset second ecological value, and η3 represents the preset third ecological value; That is to Keep the image and add it up to get the Image ecological value; S2243, if Q0 represents the preset first ecological total value, and the area corresponding to the image is excellent in ecological environmental restoration; like Q0′ represents the preset second ecological total value, and the area corresponding to the image is qualified for ecological environment restoration; like Q0 represents the preset first ecological total value, Q0′ represents the preset second ecological total value, and if Q0>Q0′, the area corresponding to the image has good ecological environment restoration; S2243, judgment The relationship between ε and ε is: like represents the reserved image sequence number, ε represents the number of reserved images; then Execute step S2241; like Indicates the reserved image sequence number, ε indicates the number of reserved images; then it ends.

7. An ecological restoration comprehensive monitoring and evaluation system, characterized in that: It includes an ecological monitoring image data shooting module and an ecological restoration status judgment module; The data output terminal of the ecological monitoring image data shooting module is connected to the data input terminal of the ecological restoration status judgment module; The ecological monitoring image data shooting module is used to obtain ecological monitoring image data shot by low-altitude drones; The ecological restoration status judgment module is used to judge the ecological restoration status based on the ecological monitoring image data taken by the low-altitude drone in the ecological monitoring image data shooting module.

8. The comprehensive monitoring and evaluation system for ecological restoration according to claim 7 is characterized in that: The method for judging the ecological restoration status in the ecological restoration status judgment module based on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data shooting module comprises the following steps: S21, performing image processing on the ecological monitoring image data photographed by the low-altitude drone in the ecological monitoring image data photographing module; S22, analyzing the ecological restoration status of the ecological monitoring image data processed in step S21.

9. A computer system, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement the comprehensive monitoring and evaluation method for ecological restoration as described in one of claims 1 to 6 when executing the executable instructions.

10. A computer-readable storage medium, characterized in that: include: a memory having a computer program stored thereon; A processor is used to execute the program in the memory to implement the comprehensive monitoring and evaluation method for ecological restoration as described in any one of claims 1 to 6.

Images