Garden ecology monitoring method and system based on remote sensing image

Abstract

The invention relates to the technical field of garden ecology monitoring, and provides a garden ecology monitoring method and system based on a remote sensing image, and the method comprises the steps: dividing standard vegetation regions in a garden historical remote sensing image, and calculating the color data of vegetation features of actual growth regions corresponding to each standard region; according to color data difference values of adjacent areas in a plurality of historical remote sensing images, a color data difference relation interval between the adjacent standard vegetation areas is obtained, a garden ecological fluctuation interval model is constructed, and the model reflects the requirement for a color matching relation between the adjacent vegetation areas under the condition that garden impression is guaranteed; after the color data of the current vegetation growth area corresponding to the divided standard area in the current remote sensing image of the garden is substituted into the model, the current ecological condition of the garden is judged by judging whether the color data of the adjacent area meets the color interval or not, the ecological problem of the garden is timely and accurately found, and a scientific basis is provided for garden planning and management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of garden ecological monitoring, and in particular to a garden ecological monitoring method and system based on remote sensing images. BACKGROUND

[0002] In garden planning and design, different types of vegetation are set according to the functions of various positions in the garden to provide users with excellent viewing experience. The color matching in the vegetation design is very critical. However, the vegetation in the garden is in a state of growth and change, and the color of the vegetation will change over time. If the color of the vegetation is to meet the color requirements of the garden planning and design, it is necessary to maintain it in real time to avoid color differences caused by ecological problems. However, the current garden ecological monitoring and maintenance is mainly manual inspection, which is time-consuming, labor-intensive and inefficient. SUMMARY

[0003] The present application provides a garden ecological monitoring method based on remote sensing images, which is used to solve the problem of low efficiency of garden ecological monitoring in the prior art.

[0004] The first aspect of the present application provides a garden ecological monitoring method based on remote sensing images, comprising: obtaining a plurality of historical remote sensing images of the garden without ecological problems, dividing each first standard vegetation area in the historical remote sensing images of the garden, and identifying a connected region with similar color values in the first standard vegetation area to obtain a plurality of vegetation growth history regions; calculating the first area of each vegetation growth history region, and calculating the first color data of the average pixel points in the vegetation growth history region with the first area; identifying the first color data difference relationship between adjacent vegetation growth history regions, and constructing a garden ecological fluctuation interval model corresponding to the first standard vegetation area; obtaining a current remote sensing image of the garden, identifying a plurality of current vegetation growth regions with each vegetation type standard region, calculating the second color data in each current vegetation growth region, and substituting it into the garden ecological fluctuation interval model to determine whether it conforms to the color difference interval between each current vegetation growth region. If not, it is determined that there is a problem with the current garden ecology.

[0005] Optionally, after calculating the second color data in each current vegetation growth region and substituting it into the garden ecological fluctuation interval model, the method further comprises: obtaining a plurality of color ring degree difference values of each pair of adjacent current vegetation growth regions, identifying the color ring degree difference value trend, and when the color ring degree difference value continuously increases or decreases and approaches the critical value of the color difference interval of the adjacent region, determining that there is a trend of ecological problems in the current garden, and issuing a warning prompt.

[0006] Optionally, after calculating the second color data in each current vegetation growth region, the method further comprises: a region division module configured to acquire a plurality of historical remote sensing images of the garden without ecological problems, divide each first standard vegetation region in the historical remote sensing images of the garden, and identify a connected region based on similar color values in the first standard vegetation region to obtain a plurality of vegetation growth history regions; an ecological model construction module configured to calculate a first area of each vegetation growth history region, calculate first color data of a pixel point in the vegetation growth history region based on the first area, identify a first color data difference relationship between adjacent vegetation growth history regions, and construct a garden ecological fluctuation interval model corresponding to the first standard vegetation region; a garden ecological monitoring module configured to acquire a current remote sensing image of the garden, identify a plurality of current vegetation growth regions based on each vegetation type standard region, calculate second color data in each current vegetation growth region, and input the second color data into the garden ecological fluctuation interval model to determine whether the color difference interval between the current vegetation growth regions is met, and if not, determine that there is a problem in the current garden ecology.

[0007] Optionally, in the garden ecological monitoring module, after the second color data in each current vegetation growth region is calculated and input into the garden ecological fluctuation interval model, the method further includes: acquiring a plurality of color ring number difference values between each pair of adjacent current vegetation growth regions, identifying a color ring number difference value trend, and when the color ring number difference value continuously increases or decreases and approaches a critical value of the color difference interval of the adjacent region, determining that there is a trend of ecological problems in the current garden and issuing a warning prompt.

[0008] Optionally, in the garden ecological monitoring module, after the second color data in each current vegetation growth region is calculated, the method further includes: calculating third color data of each pixel point in the current vegetation growth region, and calculating a difference value between the third color data and the second color data, determining whether there are more than a preset number of continuous pixel point difference values greater than a preset color data threshold, and if so, determining that there is an ecological problem in the current vegetation growth region.

[0009] The third aspect of the present application provides a garden ecological monitoring method and device based on remote sensing images, the device comprising a processor and a memory: The memory is configured to store program code and transmit the program code to the processor; The processor is configured to execute the garden ecological monitoring method based on remote sensing images according to the instructions in the program code.

[0010] The fourth aspect of the present application provides a computer readable storage medium for storing program codes, the program codes being used for executing the garden ecological monitoring method based on remote sensing images according to any one of the first aspect of the present application.

[0011] From the above technical solutions, the present application has the following advantages: by dividing the standard vegetation area in the historical remote sensing image of the garden, the color data of the vegetation features of the actual growth area corresponding to each standard area is calculated; according to the color data difference between adjacent areas in multiple historical remote sensing images, the color data difference relationship interval between each adjacent standard vegetation area is obtained, and a garden ecological fluctuation interval model is constructed, which reflects the color matching relationship requirements between adjacent vegetation areas under the condition of ensuring the garden view; after the color data of the current vegetation growth area corresponding to the standard area in the current remote sensing image of the garden is substituted into the model, whether the color data of the adjacent area meets the color interval is judged to judge the current garden ecological condition, and the ecological problems of the garden are found in time and accurately, thereby providing a scientific basis for garden planning and management. BRIEF DESCRIPTION OF DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0013] Figure 1 A flow chart of a garden ecological monitoring method based on remote sensing images; Figure 2 A structure diagram of a garden ecological monitoring system based on remote sensing images. DETAILED DESCRIPTION

[0014] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the following described embodiments are only some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0015] The present application provides a garden ecological monitoring method based on remote sensing images, which is used to solve the problem of low efficiency of garden ecological monitoring in the prior art.

[0016] Please refer to Figure 1 , Figure 1A first flowchart of a garden ecological monitoring method based on remote sensing images is provided for an embodiment of the present application.

[0017] S100, a plurality of garden historical remote sensing images without ecological problems of the garden are acquired, each first standard vegetation area is divided in the garden historical remote sensing images, and a connected area is identified with similar color values in the first standard vegetation area to obtain a plurality of vegetation growth history areas; It should be noted that high-resolution remote sensing images and ground observation data are periodically acquired after the garden is trimmed, and the high-resolution remote sensing images are taken in the case that the garden has no ecological problems, to obtain a plurality of garden historical remote sensing images; The image taken in the best state after the garden is trimmed is a standard remote sensing image, and the shooting angle and position of the standard image are also fixed; in the process of building the garden, there is a preset garden design scheme, and it is designed for different regions and different positions what kind of vegetation should be planted, such as flowers, lawns, shrubs, trees, and so on corresponding to each genus; and different types of vegetation have different growth and appearance characteristics, so it is necessary to pre-divide the area according to the position designed for the type of garden vegetation, to divide a plurality of first standard vegetation areas in advance according to the garden design scheme, for example, plants in the garden gate area should be simple and elegant, usually green trees and a small amount of flowers, and plants in the center area of the garden courtyard should not be too many to avoid being messy, and should be matched with lawns to obtain a plurality of corresponding first standard vegetation areas; Each vegetation area in the garden historical remote sensing image will have a difference in the area profile compared to the standard remote sensing image due to the growth of the vegetation, but the type and growth environment of the vegetation in the original first standard vegetation area are consistent in the garden historical remote sensing image without ecological problems, and the garden has been built, so the color values of each pixel point in the area should be similar, therefore, the average color value of the pixel points in the original first standard vegetation area can be calculated first, and then the vegetation growth history area can be obtained according to the area composed of pixel points with the same color value and adjacent to the first standard vegetation area in the garden historical remote sensing image, that is, the area position of the first standard vegetation area is taken as a reference in the garden historical remote sensing image first, and then the area connected by similar pixel points is identified, and the actual area profile of the vegetation area in the garden historical remote sensing image is identified, and for color remote sensing images, similar pixel points also need to be identified for RGB three-channel color values, this embodiment can also convert the color image into a grayscale image, the grayscale value of 0-255 in the grayscale image can also reflect the distribution and characteristics of chroma and highlight, and can reduce the amount of calculation.

[0018] S200, calculate the first area of each vegetation growth history region, and calculate the first color data of the average pixel points in the vegetation growth history region according to the first area; identify the first color data difference relationship between adjacent vegetation growth history regions, and construct a garden ecological fluctuation interval model corresponding to the first standard vegetation region; It should be noted that the area of the vegetation growth history region can be reflected by counting the number of pixel points in the remote sensing image to obtain the first area; in the garden design, the color matching of each adjacent region of the garden needs to be controlled to bring better visual experience to the visitors, and the more important ones are the color matching relationship and the tone difference relationship of the vegetation, for example, the complementary color highlighting color matching method is used in several adjacent vegetation regions, purple leaf plum and bright yellow leaf elm are used to form adjacent vegetation regions, which brings strong visual impact; or the similar color transition scheme is used in the tone relationship of several adjacent vegetation regions, single color gradient, the colors are deep green cedar, yellow green gold leaf privet and tender green lawn, and the same hue with different brightness is used to form soft gradient green; The visitors generally observe the whole garden in a macroscopic way when matching the vegetation regions, and are not affected by the color of a leaf or a petal on the vegetation in a microscopic way, so the embodiment needs to identify the color data of each pixel point in the vegetation growth history region, then sum the color data of each pixel point and divide by the first area to obtain the average color data of the vegetation history growth region, that is, the first color data, and the average color data of each vegetation growth history region is used to reflect the color of the whole region. The color data can be the RBG three channel values of the pixel points. After summing and averaging the RGB three channel values of all pixel points in the vegetation growth history region, a color ring with continuous change from red to blue to green is obtained according to the adjustment of the proportion and intensity of the three colors. The first color data has a corresponding specific position in the color ring, and the first color data difference relationship between adjacent regions can be reflected as the color ring degree difference value. The color ring degree is mainly used to describe the relationship between colors, including complementary colors, contrast colors, similar colors, adjacent colors and homologous colors. Since color comparison is generally performed in adjacent vegetation regions, only the color ring degree difference value of adjacent regions needs to be identified. Before calculating the color ring degree difference value, the position of the divided region can be identified first, and then the adjacent relationship of the region is constructed; The color data difference relationship of each vegetation area in the garden can be obtained from each garden history remote sensing image, and the vegetation growth history area corresponds to the first standard vegetation area. A garden ecological fluctuation interval model of the first standard vegetation area can be constructed from multiple garden history remote sensing images. Since each history remote sensing image is taken under the condition of no ecological problem after pruning, the corresponding color ring number difference is acceptable. Then, a difference interval, specifically a°-b°, can be constructed from the color ring number difference of adjacent areas of multiple history remote sensing images. The color difference relationship between adjacent vegetation growth areas can be acceptable, i.e., the color difference relationship between adjacent vegetation growth areas can fall within the color ring difference range, which is acceptable and has no ecological problem, and the garden ecological health.

[0019] In S300, a current remote sensing image of the garden is obtained, and multiple vegetation growth current areas are identified by using the standard area of each vegetation type. The second color data in each vegetation growth current area is calculated and substituted into the garden ecological fluctuation interval model to determine whether it meets the color difference interval between each vegetation growth current area. If not, it is determined that there is a problem in the current garden ecology.

[0020] It should be noted that after the garden ecological fluctuation interval model is constructed in the foregoing steps, a real-time remote sensing image can be obtained periodically during daily garden maintenance to obtain a current remote sensing image of the garden. In the current remote sensing image of the garden, the method of identifying connected regions by using similar color values in the foregoing step S100 based on the standard area of each vegetation type is used to obtain the vegetation growth current area of each vegetation type. Then, the method of calculating the first color data in the foregoing step S200 is used to calculate the color data of each vegetation growth current area to obtain multiple second color data. In this embodiment, the second color data can be represented by the feature position on the color ring. Substituting each second color data into the garden ecological fluctuation interval model can determine whether the color ring number difference between the second color data of each adjacent vegetation growth current area meets the color difference number interval of the model. If not, it means that the vegetation in the adjacent area has color difference, and there may be a problem in the garden ecology, such as sudden yellowing of green plants due to diseases, which will immediately change the color ring number difference and cause the garden view to deteriorate. There may be a case where the vegetation in two adjacent areas has an ecological problem, and the color of the two areas changes, but the color difference between the colors of the two areas still falls within the fluctuation interval model. Although the color ring number difference between the two areas cannot determine the existence of an ecological problem, the two vegetation areas will have other adjacent vegetation areas, and the color ring number difference still needs to be determined to meet the interval model. Ultimately, the garden ecological problem can still be identified. When it is judged that the current garden ecology needs to be repaired, the current growth area of the vegetation that does not meet the color interval is identified and sent to the staff for subsequent guidance of garden ecology problem management. The specific conditions of the color ring number difference exceeding the interval, such as too large or too small, can be directly output to the corresponding ecological problem according to historical experience, so as to build a garden ecology monitoring system to timely and accurately find the ecological problems of the garden.

[0021] In this embodiment, the color data of the vegetation features is calculated for each standard area corresponding to the actual growth area by dividing the standard vegetation area in the historical remote sensing image of the garden. The color data difference relationship interval between each adjacent standard vegetation area is obtained according to the color data difference value between adjacent areas in multiple historical remote sensing images, and a garden ecology fluctuation interval model is constructed, which reflects the color matching relationship requirements between adjacent vegetation areas under the condition of ensuring the garden view. After the color data of the vegetation growth current area corresponding to the standard area in the current remote sensing image of the garden is substituted into the model, it is judged whether the color data of adjacent areas meets the color interval to judge the current garden ecology, and the ecological problems of the garden are timely and accurately found, thereby providing a scientific basis for garden planning and management.

[0022] The above is a detailed description of a first embodiment of a garden ecology monitoring method based on remote sensing images provided by the present application. The following is a detailed description of a second embodiment of a garden ecology monitoring method based on remote sensing images provided by the present application.

[0023] In this embodiment, a garden ecology monitoring method based on remote sensing images is further provided. After the second color data in each vegetation growth current area is calculated and substituted into the garden ecology fluctuation interval model in the foregoing step S300, the method further includes: obtaining a recent plurality of color ring number difference values of each pair of adjacent vegetation growth current areas, identifying the color ring number difference value trend, and when the color ring number difference value continuously increases or decreases and approaches the critical value of the color difference interval of the adjacent area, judging that the current garden has a trend of ecological problems, and issuing a warning prompt. It should be noted that in addition to the ecological problems that can cause the color of the vegetation to suddenly change, there are also chronic ecological problems that can be reflected in multiple recent garden current remote sensing images. The requirement for the time being can be set according to the shooting interval of the actual garden remote sensing image; by identifying the change trend of the difference value of the color ring degree of the two adjacent vegetation growth current intervals, the future color ring degree difference value can be predicted, for example, the color ring degree difference value continuously increases from 40°, 45° to 48°, and the color difference interval is 20°-50°, which can be considered as a continuous increase in the difference value and approaching the critical value, and it is predicted that there is a risk of exceeding the difference value interval in the future, that is, there is a possibility of affecting the garden viewing experience. In normal garden ecological growth, such problems should not exist, so it is predicted that there may be a garden ecological problem, and a warning is issued to the staff; further, the color data change trend of the two vegetation growth current areas can be identified separately to determine which vegetation growth current area has an ecological problem risk, so as to evaluate the change trend of the garden ecological system and provide basis and data support for garden planning and management.

[0024] Further, in the foregoing step S300, after calculating the second color data in each vegetation growth current area, it further includes: calculating the third color data of each pixel point in the vegetation growth current area, and subtracting the second color data to determine whether there are more than a preset number of continuous pixel point difference values greater than a preset color data threshold value, if so, it is determined that there is an ecological problem in the vegetation growth current area; It should be noted that there can be a large color difference in different parts of the same vegetation area, but this difference is smoothed out by the average color data calculation of the region in the foregoing step, but such color difference in the vegetation area itself is an ecological problem, which is usually caused by uneven sunlight in a certain area, such as different color depths and color shades of tree leaves; a preset number of pixel points can be used to avoid misjudgment caused by imaging noise in the image, and the identification method of the connected region in the foregoing step needs to identify a continuous region with a sufficient number of pixel points, and the difference between the third color data of the internal region and the second color data of the whole vegetation growth current area or the color ring degree difference value is greater than the preset color data threshold value, which can be considered as a color unevenness in the region itself, and the garden in this region can be directly determined to have an ecological problem. The color data threshold value is set according to the plant type of each vegetation area, and the color data threshold value of some evergreen plants with small color change fluctuations is set smaller, while the threshold value of seasonal vegetation with large color change fluctuations is set larger.

[0025] The above is a detailed description of a garden ecological monitoring method based on remote sensing images provided by the first aspect of the present application, and the following is a detailed description of an embodiment of a garden ecological monitoring system based on remote sensing images provided by the second aspect of the present application.

[0026] Please refer to Figure 2 , Figure 2 is a garden ecological monitoring system structure diagram based on remote sensing image. The embodiment provides a garden ecological monitoring system based on remote sensing image, which comprises: The region division module 10 is used for acquiring a plurality of historical remote sensing images of the garden without ecological problems, dividing each first standard vegetation region in the historical remote sensing image of the garden, and identifying a connected region by using similar color values in the first standard vegetation region to obtain a plurality of vegetation growth history regions. The ecological model construction module 20 is used for calculating a first area in each vegetation growth history region, calculating first color data of the average pixel points in the vegetation growth history region by using the first area, identifying a first color data difference relationship between adjacent vegetation growth history regions, and constructing a garden ecological fluctuation interval model corresponding to the first standard vegetation region. The garden ecological monitoring module 30 is used for acquiring a current remote sensing image of the garden, identifying a plurality of vegetation growth current regions by using each vegetation type standard region, calculating second color data in each vegetation growth current region, and substituting the second color data into the garden ecological fluctuation interval model to judge whether the color difference interval between each vegetation growth current region is met. If not, it is judged that there is a problem in the current garden ecology.

[0027] Further, in the garden ecological monitoring module 30, after the second color data in each vegetation growth current region is calculated and substituted into the garden ecological fluctuation interval model, the following steps are further included: A recent plurality of color ring degree difference values of each two adjacent vegetation growth current regions are acquired, a color ring degree difference value change trend is identified, and when the color ring degree difference value continuously increases or decreases and approaches a critical value of the color difference interval of the adjacent region, it is judged that there is a trend of ecological problem in the current garden, and a warning prompt is issued.

[0028] Further, in the garden ecological monitoring module 30, after the second color data in each vegetation growth current region is calculated, the following steps are further included: The third color data of each pixel point in the vegetation growth current region is calculated, and the third color data is subtracted from the second color data to judge whether there are more than a preset number of continuous pixel point difference values greater than a preset color data threshold value. If yes, it is judged that there is an ecological problem in the vegetation growth current region.

[0029] The third aspect of the application further provides a garden ecological monitoring method and device based on remote sensing image, comprising a processor and a memory: the memory is used for storing program code and transmitting the program code to the processor; the processor is used for executing the above-mentioned garden ecological monitoring method based on remote sensing image according to the instructions in the program code.

[0030] The fourth aspect of the present application provides a computer readable storage medium, characterized in that the computer readable storage medium is used for storing program codes, and the program codes are used for executing the above-mentioned garden ecological monitoring method based on remote sensing images.

[0031] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned device and equipment can refer to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0032] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0033] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0034] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0035] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the entire or part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0036] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A garden ecological monitoring method based on remote sensing images, characterized in that include: Acquire multiple historical remote sensing images of gardens without ecological problems, divide the gardens into first standard vegetation areas within the historical remote sensing images, and identify connected areas using similar color values ​​in the first standard vegetation areas to obtain multiple vegetation growth history areas; Calculating the area of ​​the first region in each vegetation growth history region, and calculating the average first color data of the pixels in the vegetation growth history region based on the first region area; identifying the difference relationship between the first color data of adjacent vegetation growth history regions, and constructing a garden ecological fluctuation interval model corresponding to the first standard vegetation region; Obtain the current remote sensing image of the garden, identify multiple current vegetation growth areas using the standard areas of each vegetation type, calculate the second color data in each current vegetation growth area, and substitute it into the garden ecological fluctuation interval model to determine whether it conforms to the color difference interval between the current vegetation growth areas. If not, it is determined that there is a problem with the current garden ecology.

2. A garden ecological monitoring method based on remote sensing images according to claim 1, characterized in that: After calculating the second color data of each vegetation growth area and substituting it into the garden ecological fluctuation interval model, the method further includes: Obtain the recent multiple color ring degree differences of the current area where two adjacent vegetation grows, identify the trend of the color ring degree difference changes, and when the color ring degree difference changes continue to increase or decrease and approach the critical value of the color difference interval of the adjacent area, it is judged that the current garden has a trend of ecological problems in the future and an early warning prompt is issued.

3. The garden ecology monitoring method based on remote sensing images according to claim 1, characterized in that: After calculating the second color data of each vegetation growing current area, the method further includes: Calculate the third color data of each pixel in the current vegetation growth area and make a difference with the second color data to determine whether there are more than a preset number of consecutive pixel points whose difference is greater than the preset color data threshold. If so, it is determined that there is an ecological problem in the current vegetation growth area.

4. A garden ecological monitoring system based on remote sensing images, characterized in that: include: A region division module is used to obtain multiple historical remote sensing images of gardens without ecological problems, divide the gardens into first standard vegetation areas within the historical remote sensing images, and identify connected areas based on similar color values ​​in the first standard vegetation areas to obtain multiple vegetation growth history areas; An ecological model construction module is used to calculate the area of ​​a first region in each vegetation growth history region, and calculate the average first color data of pixels in the vegetation growth history region based on the first region area; identify the difference relationship between the first color data of adjacent vegetation growth history regions, and construct a garden ecological fluctuation interval model corresponding to the first standard vegetation region; The garden ecology monitoring module is used to obtain the current remote sensing image of the garden, identify multiple current vegetation growth areas based on the standard areas of each vegetation type, calculate the second color data in each current vegetation growth area, and substitute it into the garden ecology fluctuation interval model to determine whether it meets the color difference interval between the current vegetation growth areas. If not, it is determined that there is a problem with the current garden ecology.

5. The garden ecological monitoring system based on remote sensing images according to claim 4 is characterized in that: In the garden ecology monitoring module, after calculating the second color data of each vegetation growth area and substituting it into the garden ecology fluctuation interval model, the module further includes: Obtain the recent multiple color ring degree differences of the current area where two adjacent vegetation grows, identify the trend of the color ring degree difference changes, and when the color ring degree difference changes continue to increase or decrease and approach the critical value of the color difference interval of the adjacent area, it is judged that the current garden has a trend of ecological problems in the future and an early warning prompt is issued.

6. The garden ecological monitoring system based on remote sensing images according to claim 4 is characterized in that: In the garden ecology monitoring module, after calculating the second color data of each vegetation growing in the current area, the module further includes: Calculate the third color data of each pixel in the current vegetation growth area and make a difference with the second color data to determine whether there are more than a preset number of consecutive pixel points whose difference is greater than the preset color data threshold. If so, it is determined that there is an ecological problem in the current vegetation growth area.

7. A garden ecological monitoring device based on remote sensing images, characterized in that: The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the garden ecological monitoring method based on remote sensing images according to any one of claims 1 to 3 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and the program code is used to execute the garden ecological monitoring method based on remote sensing images as described in any one of claims 1 to 3.

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