A method and system for monitoring the growth and development process of slope vegetation

Abstract

The present invention relates to the field of vegetation growth monitoring technology, and specifically to a method and system for monitoring the growth and development process of slope vegetation. The method of the present invention comprises the following steps: dividing the slope into multiple areas, obtaining the growth and development information of the slope vegetation in each area and the slope environment monitoring data; obtaining the growth and development index of the slope vegetation in the area based on the growth and development information; constructing a growth and development process monitoring model, and obtaining the growth and development process monitoring value of the area through the growth and development process monitoring model; and completing the monitoring of the growth and development process of slope vegetation according to the growth and development process monitoring values ​​of all areas. The present invention obtains the monitoring value of the growth and development process of vegetation by obtaining the monitoring data of each area of ​​the slope, and then monitors the abnormal growth of the slope vegetation, thereby solving the problem of convenient and accurate monitoring of the growth and development process of slope vegetation.

Description

Technical Field

[0001] The invention relates to the technical field of vegetation growth monitoring, and in particular to a method and system for monitoring the growth and development process of slope vegetation. Background Art

[0002] Slope vegetation plays a vital role in slope engineering and natural environment protection. The growth and development of slope vegetation is of great significance to the stability of the slope and the protection of the ecological environment. Traditional monitoring of slope vegetation growth and development mainly relies on manual field surveys. This method is not only time-consuming and labor-intensive, but also the monitoring data is incomplete, and it is difficult to timely discover abnormal conditions in the vegetation growth process. Therefore, there is an urgent need for a method and system that can achieve long-term, comprehensive, and remote monitoring of the growth and development process of slope vegetation. Summary of the invention

[0003] In view of the shortcomings of existing methods and the needs of practical applications, in order to monitor the abnormal growth of slope vegetation, the problem of conveniently and accurately monitoring the growth and development process of slope vegetation is solved. On the one hand, the present invention provides a method for monitoring the growth and development process of slope vegetation, comprising the following steps:

[0004] Divide the slope into multiple areas, obtain the growth and development information of the slope vegetation in each area and the slope environment monitoring data; based on the growth and development information, obtain the growth and development index of the slope vegetation in the area; construct a growth and development process monitoring model, and obtain the growth and development process monitoring value of the area through the growth and development process monitoring model; complete the slope vegetation growth and development process monitoring according to the growth and development process monitoring values ​​of all areas. The present invention obtains the growth and development process monitoring value of the area through the relevant monitoring data of the slope vegetation in multiple areas, and finally identifies the abnormal situation by comparing the monitoring values ​​of each area, thereby solving the problem of long-term, comprehensive, convenient and accurate monitoring of the growth and development process of the slope vegetation.

[0005] Optionally, the area includes a primary area and a secondary area;

[0006] The first-level area satisfies the following formula:

[0007]

[0008] in, represents the slope area, represents the number of first-level regions, Indicates The area of ​​the first-level region;

[0009] The secondary area satisfies the following formula:

[0010]

[0011] in, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The present invention divides the slope area and then compares the relevant monitoring values ​​of each area, which is conducive to rapid and accurate identification of abnormal areas, and accurate positioning is conducive to the rapid processing of abnormal areas in the later stage.

[0012] Optionally, the growth and development information includes leaf area index and vegetation coverage of herbaceous plants, and canopy index and leaf density of shrubs. The present invention monitors a small amount of data, which is conducive to rapid data transmission and reduces energy consumption of related equipment.

[0013] Optionally, obtaining the growth and development index of the slope vegetation in the area based on the growth and development information comprises the following steps:

[0014] The growth and development index of herbaceous plants is obtained by using the leaf area index and vegetation coverage; the growth and development index of shrubs is obtained by combining the crown width index and leaf density; the growth and development index of the slope vegetation is obtained by the growth and development index of the herbaceous plants and the growth and development index of the shrubs.

[0015] Optionally, the herbaceous plant growth and development index is obtained by using the leaf area index and the vegetation coverage, satisfying the following formula:

[0016]

[0017] in, Indicates the growth and development index of herbaceous plants. Represents vegetation coverage, represents the leaf area index, Indicates the slope gradient;

[0018] The growth and development index of shrub plants is obtained by combining the crown width index and the leaf density, which satisfies the following formula:

[0019]

[0020] in, Indicates the growth and development index of shrubs. Indicates the number of shrubs in the area. Indicates The crown index of shrubs, Indicates Leaf density of shrubs.

[0021] Optionally, the growth and development index of the slope vegetation is obtained by the growth and development index of the herbaceous plant and the growth and development index of the shrub plant, and satisfies the following formula:

[0022]

[0023] in, It indicates the growth and development index of slope vegetation. Represents vegetation coverage, Indicates the growth and development index of herbaceous plants. Indicates the number of shrubs in the area. Indicates The crown index of shrubs, Indicates The area of ​​the secondary region, Indicates the growth and development index of shrub plants. The present invention constructs a model formula and uses the growth and development information of slope vegetation to obtain relevant indicators, objectively and accurately evaluates the current status of vegetation growth and development, which is conducive to the accurate identification of abnormal conditions in the later stage.

[0024] Optionally, the growth and development process monitoring model is constructed to satisfy the following formula:

[0025]

[0026] in, Indicates the monitoring value of the growth and development process. It indicates the growth and development index of slope vegetation. represents the average daily ambient temperature, represents the average daily ambient humidity, represents the daily average carbon dioxide concentration, Indicates the average daily light intensity. The present invention combines environmental factors to evaluate the vegetation growth state, which is further conducive to the accurate identification of abnormal conditions in the later stage.

[0027] Optionally, completing the monitoring of the growth and development process of slope vegetation according to the growth and development process monitoring values ​​of all regions comprises the following steps:

[0028] The growth and development process monitoring value of the primary area is obtained through the growth and development process monitoring value of the secondary area; a monitoring threshold is set, and the growth and development process monitoring of the slope vegetation is completed according to the monitoring threshold and the growth and development process monitoring value of the primary area.

[0029] Optionally, the growth and development process monitoring value of the primary region is obtained by the growth and development process monitoring value of the secondary region, and satisfies the following formula:

[0030]

[0031] in, Indicates The monitoring value of the growth and development process of the first-level region, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The area of ​​the secondary region, Indicates The area of ​​the first-level region, Indicates The present invention utilizes the relevant monitoring values ​​of the secondary areas to generate the monitoring values ​​of the primary areas, thereby improving the reliability of the data and reducing the errors that may be caused by the noise of the monitoring equipment.

[0032] In the second aspect, in order to be able to efficiently execute the slope vegetation growth and development process monitoring method provided by the present invention, the present invention also provides a slope vegetation growth and development process monitoring system, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the slope vegetation growth and development process monitoring method as described in the first aspect of the present invention. The slope vegetation growth and development process monitoring system of the present invention has a compact structure and stable performance, and can stably execute the slope vegetation growth and development process monitoring method provided by the present invention, further improving the overall applicability and practical application capabilities of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flow chart of a method for monitoring the growth and development process of slope vegetation provided by an embodiment of the present invention;

[0034] Figure 2 A framework diagram of a slope vegetation growth and development process monitoring system provided by an embodiment of the present invention;

[0035] Figure 3 A schematic diagram of the structure of a device for monitoring the growth and development process of slope vegetation provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0037] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0038] See also Figure 1 In order to monitor the abnormal growth of slope vegetation and solve the problem of conveniently and accurately monitoring the growth and development process of slope vegetation, the present invention provides a method for monitoring the growth and development process of slope vegetation, such as Figure 1 As shown, the method comprises the following steps:

[0039] S1. Divide the slope into multiple areas, and obtain the growth and development information of the slope vegetation and the slope environment monitoring data in each area.

[0040] In the embodiment, the slope is divided into multiple regions in step S1, which can be divided according to the principle of equal area or randomly. It should be understood that the more regions are divided, the better the final monitoring effect, but the calculation complexity also increases accordingly, so it can be adjusted according to the actual situation.

[0041] Furthermore, the region includes a primary region and a secondary region;

[0042] The first-level area satisfies the following formula:

[0043]

[0044] in, represents the slope area, represents the number of first-level regions, Indicates The area of ​​the first-level region;

[0045] The secondary area satisfies the following formula:

[0046]

[0047] in, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The area of ​​the secondary region.

[0048] Furthermore, the region can be divided multiple times using multiple division principles. There cannot be repeated areas between first-level regions under the same division principle, and there can be repeated areas between first-level regions under different division principles. Each division result is calculated to increase the recognition rate of abnormal areas.

[0049] In this embodiment, the growth and development information of the slope vegetation in each area and the slope environment monitoring data can be obtained through drone remote sensing, robot on-site measurement and sensor real-time monitoring methods, and then the relevant data can be transmitted to the relevant database through the wireless network for data storage and calculation.

[0050] Furthermore, the growth and development information includes the leaf area index and vegetation coverage of herbaceous plants, and the crown width index and leaf density of shrubs; the slope environment monitoring data includes ambient temperature, ambient humidity, carbon dioxide concentration and light intensity.

[0051] Leaf area index refers to the ratio of the total area of ​​plant leaves per unit land area to the land area. The leaf area of ​​herbaceous plants can be measured quickly and accurately using a leaf area meter, by scanning or photographing leaf images and using image processing technology to calculate the leaf area. The leaf area index can also be estimated using remote sensing estimation methods, which usually use a statistical model based on the correlation between vegetation indices such as the normalized vegetation index and the leaf area index to make the estimate.

[0052] The vegetation coverage of herbaceous plants refers to the ratio of the surface area covered by herbaceous plants to the total surface area. Its calculation method usually involves the following steps:

[0053] Acquire image data of the target area through robot field measurement or remote sensing technology; preprocess the acquired image data, including radiation correction, atmospheric correction, geometric correction, etc., to ensure the accuracy and reliability of the data; use remote sensing image classification algorithm to classify vegetation and non-vegetation in the image; extract the pixels of herbaceous vegetation from the vegetation classification results; compare the number of herbaceous vegetation pixels with the total number of pixels to calculate the vegetation coverage of herbaceous plants.

[0054] The crown index of shrubs refers to the ratio of the horizontal projection area of ​​the shrub to the height of the shrub. The leaf density of shrubs can be estimated by hyperspectral technology, measuring the spectral reflectivity of the leaves, constructing a spectral index, and using machine learning algorithms such as random forests and partial least squares to establish an estimation model. It can also be estimated using image processing technology, taking vertical pictures of shrub leaves and analyzing them using image processing software. By outlining the size of the vertical crown and the blank part in the middle, the area of ​​the vertical crown and the area of ​​the blank part in the middle are counted, and then the leaf density is calculated.

[0055] The ambient temperature is obtained through the ambient temperature sensor. The ambient temperature sensor is a device that can measure the ambient temperature. It senses the temperature changes in the surrounding area, converts these changes into electrical signals, and then processes and converts them through circuits to finally output the temperature value.

[0056] Ambient humidity is obtained through ambient humidity sensors. Humidity, as a measure of the water vapor content in the air, has an important impact on many processes and systems. Ambient humidity sensors are designed based on this demand. They can monitor humidity changes in the environment in real time and convert these changes into electrical signals or other forms of measurable signals. According to different measurement principles, humidity sensors can be roughly divided into several categories, such as resistive, capacitive, thermistor, dew point, optical and semiconductor.

[0057] The carbon dioxide concentration is obtained through a carbon dioxide concentration sensor. The carbon dioxide concentration sensor is a device used to detect and measure the carbon dioxide concentration in the environment. The working principle is mainly based on the following technologies:

[0058] Electrochemical principle: The sensor contains a chemical substance as an adsorbent, which can react with carbon dioxide molecules by chemical adsorption. When carbon dioxide molecules are adsorbed, they will produce an electrochemical reaction with the electrodes inside the sensor, usually a redox reaction, producing measurable reaction products such as electrons or ions, which are then converted into electrical signal output;

[0059] Optical principle: Some carbon dioxide sensors use the principle of infrared absorption to measure carbon dioxide concentration. Carbon dioxide molecules absorb infrared rays of a specific wavelength. The sensor calculates the concentration of carbon dioxide by measuring the degree of infrared absorption.

[0060] Semiconductor principle: Semiconductor carbon dioxide sensors use the property that the conductivity of semiconductor materials changes with gas concentration to detect carbon dioxide concentration. When carbon dioxide molecules come into contact with semiconductor materials, the conductivity of the material will change, thereby generating a measurable electrical signal.

[0061] According to different working principles and technologies, carbon dioxide concentration sensors can be divided into many types, such as electrochemical, infrared and semiconductor types. Electrochemical sensors have the advantages of fast response speed and high measurement accuracy, but their service life is relatively short and the electrolyte needs to be replaced regularly; infrared sensors have a wide measurement range, good stability and long life, but their prices are relatively high and they have certain requirements for ambient temperature and humidity; semiconductor sensors are inexpensive, small in size and easy to integrate, but their measurement accuracy and stability are relatively low and they are greatly affected by temperature and humidity.

[0062] The light intensity is obtained through the light intensity sensor, which can convert light signals into electrical signals, thereby realizing real-time monitoring of light intensity. Its working principle is that the light intensity sensor uses built-in photosensitive elements such as photodiodes, photoresistors or photosensitive cells to convert light energy into electrical signals. When light in the environment shines on the photosensitive element, the light energy excites the carriers in the photosensitive element to change, thereby causing its resistance, voltage or current to change accordingly. The amplitude of this change is positively correlated with the light intensity. The signal processing circuit is responsible for receiving the electrical signal from the photosensitive element, amplifying, filtering and calibrating it, and finally outputting the voltage or current value corresponding to the light intensity.

[0063] It should be understood that the ambient temperature sensor, ambient humidity sensor, carbon dioxide concentration sensor, and light intensity sensor do not need to be strongly associated according to the divided areas, and can be arranged according to appropriate intervals within the sensor's working range.

[0064] S2. Based on the growth and development information, obtaining growth and development indicators of the slope vegetation in the area.

[0065] In an embodiment, the step S2 of obtaining the growth and development index of the slope vegetation in the area based on the growth and development information comprises the following steps:

[0066] S21. Use leaf area index and vegetation coverage to obtain herbaceous plant growth and development indicators.

[0067] Specifically, the herbaceous plant growth and development index is obtained by using the leaf area index and the vegetation coverage, which satisfies the following formula:

[0068]

[0069] in, Indicates the growth and development index of herbaceous plants. Represents vegetation coverage, represents the leaf area index, Indicates the slope gradient. The slope gradient refers to the ratio of the vertical height of the slope to the horizontal distance, usually expressed as an angle, percentage or ratio. This embodiment adopts the angle expression method, which is expressed by measuring the angle between the slope and the horizontal plane.

[0070] It can be understood that the greater the slope gradient and the steeper the slope, the calculation formula for the herbaceous plant growth and development index designed by fitting the vegetation coverage of herbaceous plants, leaf area index and the slope gradient can objectively reflect the herbaceous plant growth and development index.

[0071] S22. Combine the crown width index and leaf density to obtain the growth and development indicators of shrub plants.

[0072] Specifically, the growth and development index of shrub plants is obtained by combining the crown width index and the leaf density, which satisfies the following formula:

[0073]

[0074] in, Indicates the growth and development index of shrubs. Indicates the number of shrubs in the area. Indicates The crown index of shrubs, Indicates The relevant data of all shrubs in the area are input into the calculation formula of shrub growth and development index designed by fitting the crown width index and leaf density of shrubs, which can objectively reflect the growth and development index of shrubs in the area.

[0075] S23. Obtain the growth and development index of the slope vegetation through the growth and development index of the herbaceous plant and the growth and development index of the shrub plant.

[0076] Specifically, the growth and development index of the slope vegetation is obtained by the growth and development index of the herbaceous plant and the growth and development index of the shrub plant, and satisfies the following formula:

[0077]

[0078] in, It indicates the growth and development index of slope vegetation. Represents vegetation coverage, Indicates the growth and development index of herbaceous plants. Indicates the number of shrubs in the area. Indicates The crown index of shrubs, Indicates The area of ​​the secondary region, Represents the growth and development index of shrub plants.

[0079] S3. Construct a growth and development process monitoring model, and obtain the growth and development process monitoring value of the region through the growth and development process monitoring model.

[0080] In the embodiment, the growth and development process monitoring model constructed in step S3 satisfies the following formula:

[0081]

[0082] in, Indicates the monitoring value of the growth and development process. It indicates the growth and development index of slope vegetation. represents the average daily ambient temperature, represents the average daily ambient humidity, represents the daily average carbon dioxide concentration, Represents the average daily light intensity.

[0083] Substituting the growth and development index and the slope environment monitoring data into the growth and development process monitoring model, the output result is the growth and development process monitoring value of the area.

[0084] S4. Complete the monitoring of the growth and development process of slope vegetation according to the growth and development process monitoring values ​​of all areas.

[0085] In one embodiment, the step S4 completes the monitoring of the growth and development process of slope vegetation according to the growth and development process monitoring values ​​of all regions, including the following steps:

[0086] S41. Obtain the growth and development process monitoring value of the primary region through the growth and development process monitoring value of the secondary region.

[0087] Specifically, the growth and development process monitoring value of the primary region is obtained through the growth and development process monitoring value of the secondary region, which satisfies the following formula:

[0088]

[0089] in, Indicates The monitoring value of the growth and development process of the first-level region, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The area of ​​the secondary region, Indicates The area of ​​the first-level region, Indicates Monitoring values ​​of the growth and development process of the secondary area.

[0090] S42, setting a monitoring threshold, and completing the monitoring of the growth and development process of the slope vegetation according to the monitoring threshold and the monitoring value of the growth and development process of the first-level area.

[0091] In the embodiment, the monitoring threshold value may be set to 85% of the average value of the monitoring values ​​of the growth and development process of all first-level regions, or may be a value set based on actual experience.

[0092] Compare the monitoring value of the growth and development process in the first-level area with the monitoring threshold. If the monitoring value of the growth and development process in the first-level area is less than the monitoring threshold, it means that the growth and development process of the slope vegetation in this area is abnormal, and an automatic alarm is issued to indicate that processing is required. Otherwise, it is regarded as normal and monitoring is continued.

[0093] In other embodiments, the monitoring frequency may be adjusted to balance the monitoring accuracy and monitoring cost to achieve the optimal monitoring effect.

[0094] See also Figure 2 In an embodiment, in order to efficiently execute a slope vegetation growth and development process monitoring method provided by the present invention, the present invention also provides a slope vegetation growth and development process monitoring system, including: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory contains program instructions, and the program instructions are used for the steps of the slope vegetation growth and development process monitoring method. The slope vegetation growth and development process monitoring system of the present invention has a compact structure and stable performance, and can stably execute a slope vegetation growth and development process monitoring method of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0095] In an embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. An input device may be used to obtain data information. An output device may be used to output the results obtained by storing program instructions contained in a computer program in a memory provided by the present invention. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory.

[0096] In yet another alternative embodiment, see Figure 3 In order to efficiently execute the slope vegetation growth and development process monitoring method provided by the present invention, this embodiment also provides a slope vegetation growth and development process monitoring device, such as Figure 3 As shown, including:

[0097] The memory 10 is used to store computer programs; the processor 20 is used to execute the computer programs to implement the above-mentioned slope vegetation growth and development process monitoring method. The memory 10, the processor 20, the communication interface 31 and the communication bus 32. The memory 10, the processor 20, and the communication interface 31 all communicate with each other through the communication bus 32.

[0098] In an embodiment, the memory 10 is used to store one or more program instructions. The memory 10 may store program instructions for implementing the following functions:

[0099] Divide the slope into multiple areas and obtain the growth and development information of the slope vegetation and the slope environment monitoring data in each area;

[0100] Based on the growth and development information, obtaining growth and development indicators of the slope vegetation in the area;

[0101] Constructing a growth and development process monitoring model, and obtaining a growth and development process monitoring value of the region through the growth and development process monitoring model;

[0102] The monitoring of the growth and development process of slope vegetation is completed based on the growth and development process monitoring values ​​of all areas.

[0103] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, and at least one application required for a function, etc.; the data storage area may store data created during use. In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0104] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10. The communication interface 31 may be an interface of a communication module, and is used to connect with other devices or systems.

[0105] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the slope vegetation growth process monitoring device in this embodiment. In actual applications, the slope vegetation growth process monitoring device may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0106] The embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for monitoring the growth and development process of slope vegetation are implemented.

[0107] The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0108] To summarize, the present invention obtains the monitoring values ​​of the growth and development process of the region through the relevant monitoring data of slope vegetation in multiple regions, and finally identifies abnormal situations by comparing the monitoring values ​​of each region, thereby solving the problem of long-term, comprehensive, convenient and accurate monitoring of the growth and development process of slope vegetation.

[0109] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope recorded in the present invention.

Claims

1. A method for monitoring the growth and development process of slope vegetation, characterized in that: The following steps are involved: Divide the slope into multiple areas and obtain the growth and development information of the slope vegetation and the slope environment monitoring data in each area; Based on the growth and development information, obtaining growth and development indicators of the slope vegetation in the area; Constructing a growth and development process monitoring model, and obtaining a growth and development process monitoring value of the region through the growth and development process monitoring model; According to the growth and development process monitoring values ​​of all areas, the growth and development process monitoring of the slope vegetation is completed; The slope environmental monitoring data includes ambient temperature, ambient humidity, carbon dioxide concentration and light intensity; The growth and development process monitoring model is constructed to meet the following formula: ， in, Indicates the monitoring value of the growth and development process. It indicates the growth and development index of slope vegetation. represents the average daily ambient temperature, represents the average daily ambient humidity, represents the daily average carbon dioxide concentration, represents the average daily light intensity; The method of completing the monitoring of the growth and development process of slope vegetation according to the growth and development process monitoring values ​​of all regions includes the following steps: Obtaining the growth and development process monitoring value of the primary region through the growth and development process monitoring value of the secondary region; Setting a monitoring threshold, and completing the monitoring of the growth and development process of the slope vegetation according to the monitoring threshold and the monitoring value of the growth and development process of the first-level area; The growth and development process monitoring value of the primary region is obtained by the growth and development process monitoring value of the secondary region, which satisfies the following formula: ， in, Indicates The monitoring value of the growth and development process of the first-level region, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The area of ​​the secondary region, Indicates The area of ​​the first-level region, Indicates Monitoring values ​​of the growth and development process of the secondary area.

2. The method for monitoring the growth and development of slope vegetation according to claim 1, characterized in that: The said areas include primary areas and secondary areas; The first-level area satisfies the following formula: ， in, represents the slope area, represents the number of first-level regions, Indicates The area of ​​the first-level region; The secondary area satisfies the following formula: ， in, Indicates The number of secondary regions contained in a first-level region, Indicates The first level area contains The area of ​​the secondary region.

3. The method for monitoring the growth and development of slope vegetation according to claim 1, characterized in that: The growth and development information includes the leaf area index and vegetation coverage of herbaceous plants, and the crown width index and leaf density of shrubs.

4. The method for monitoring the growth and development of slope vegetation according to claim 1, characterized in that: The step of obtaining the growth and development index of the slope vegetation in the region based on the growth and development information comprises the following steps: Using leaf area index and vegetation coverage, we can obtain herbaceous plant growth and development indicators; Combining the crown width index and leaf density, the growth and development index of shrubs can be obtained; The growth and development index of the slope vegetation is obtained through the growth and development index of the herbaceous plant and the growth and development index of the shrub plant.

5. The method for monitoring the growth and development of slope vegetation according to claim 4, characterized in that: The herbaceous plant growth and development index is obtained by using the leaf area index and the vegetation coverage, which satisfies the following formula: ， in, Indicates the growth and development index of herbaceous plants. Represents vegetation coverage, represents the leaf area index, Indicates the slope gradient; The growth and development index of shrub plants is obtained by combining the crown width index and the leaf density, which satisfies the following formula: ， in, Indicates the growth and development index of shrubs. Indicates the number of shrubs in the area. Indicates The crown width index of shrubs, Indicates Leaf density of shrubs.

6. The method for monitoring the growth and development of slope vegetation according to claim 4, characterized in that: The growth and development index of the slope vegetation is obtained by using the growth and development index of the herbaceous plant and the growth and development index of the shrub plant, and satisfies the following formula: ， in, It indicates the growth and development index of slope vegetation. Represents vegetation coverage, Indicates the growth and development index of herbaceous plants. Indicates the number of shrubs in the area. Indicates The crown index of shrubs, Indicates The area of ​​the secondary region, Represents the growth and development index of shrub plants.

7. A slope vegetation growth and development process monitoring system, characterized in that: The slope vegetation growth and development process monitoring system includes: an input device, an output device, a processor, and a memory. The input device, output device, processor, and memory are interconnected. The memory includes program instructions, and the program instructions are used to execute the slope vegetation growth and development process monitoring method described in any one of claims 1-6.

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