Erosion gully monitoring method based on fixed section control and related equipment

Abstract

The invention relates to the technical field, in particular to an erosion gully monitoring method based on fixed section control and related equipment.The method comprises the steps that firstly, the erosion gully range of a target cultivated land area is obtained, a gully bottom line is determined by analyzing the shape of an erosion gully, section point pairs are generated based on the gully bottom line, and fixed section layout is completed; then marking the erosion gully of the target area; erosion data (such as ditch depth, ditch width change and the like) of the marked erosion ditch are collected in real time, an erosion volume is calculated by utilizing an erosion amount calculation model (combining section data and real-time erosion parameters), and finally, an erosion ditch dynamic monitoring result is formed. According to the method, through fixed section layout and real-time data fusion, accurate monitoring of the spatial range and the erosion amount of the cultivated land erosion gully is realized, and data support is provided for erosion gully treatment and cultivated land protection.

Description

Technical Field

[0001] This invention relates to the technical field, specifically to a method and related equipment for monitoring erosion gullies based on fixed cross-section control. Background Technology

[0002] Gully erosion is a significant type of soil erosion. Currently, methods for monitoring gullies fall into two categories: traditional monitoring and modern measurement techniques. The main problems with gully monitoring techniques are as follows: Traditional methods (such as measuring tapes and styluses) offer high accuracy but rely entirely on manual operation, resulting in low efficiency and difficulty in repeating measurements. Modern remote sensing technologies (such as remote sensing imagery, UAV aerial surveys, and LiDAR) provide wide coverage but suffer from complex data processing and are limited by weather conditions, making it difficult to guarantee the accuracy of repeated monitoring. Of particular note is the general lack of reliable and efficient repeatable monitoring mechanisms in existing methods, hindering the comparability of continuous monitoring results. How to combine traditional and modern methods to efficiently obtain comparable and repeatable observation data for gullies at different stages remains an unsolved problem. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and related equipment for monitoring erosion gullies based on fixed cross-section control, in order to address the shortcomings of the prior art and solve the problem of poor monitoring effect of erosion gullies.

[0004] The objective of this invention is achieved through the following technical solutions: In a first aspect, the present invention provides a method for monitoring erosion gullies based on fixed cross-section control, comprising: Obtain the gully range of the target cultivated land area, determine the bottom line of the gully based on the gully range, obtain cross-section point pairs using the bottom line of the gully, and obtain the fixed cross-section layout result based on the cross-section point pairs. Based on the results of fixed cross-section layout, erosion gullies in the target cultivated land area are permanently marked. Real-time acquisition of erosion data of marked gullies in target cultivated land areas; based on the erosion data, erosion volume is obtained through an erosion volume calculation model, thereby obtaining erosion gully monitoring results.

[0005] As a further improvement of the present invention, obtaining the extent of erosion gullies in the target cultivated land area includes: Aerial photography using drones to obtain images of erosion gullies; Aerial triangulation was performed on the erosion trench images to obtain DOM data and DSM data.

[0006] As a further improvement of the present invention, the trench bottom line of the erosion trench is determined based on DOM data and DSM data, including: The elevation depression axis of the erosion gully was extracted from DSM data as the initial gully baseline; the initial gully baseline was manually corrected by combining visual features from DOM data to make the initial gully baseline conform to the actual erosion path.

[0007] As a further improvement of the present invention, cross-sectional point pairs are obtained using the bottom line of the erosion gully, and a fixed cross-sectional layout result is obtained based on the cross-sectional point pairs, including: Along the modified gully bottom line, several cross-sectional point pairs are planned from the top of the gully slope to the bottom of the gully slope. The cross-sectional point pairs are distributed on both sides of the gully bottom line and the connecting line is perpendicular to the gully bottom line. The cross-section is used to reflect the lateral width and depth of the gully.

[0008] As a further improvement of the present invention, erosion gullies in the target cultivated land area are permanently marked based on the results of fixed cross-section layout, so as to achieve repeatable monitoring of the width and depth morphology of fixed cross-sections, including: After importing the fixed cross-section layout results into the GNSS-RTK mobile station, on-site coordinate layout and location marking are performed.

[0009] As a further improvement of the present invention, the erosion calculation model is obtained based on the width and depth morphology measured by setting up a fixed cross-section. The erosion calculation model is as follows:

[0010] In the formula, w 1 and w 2 represents the upper width and lower width of the erosion gully. h 1. h 2 and h 3 represents 3 depths. L This is the interval distance between points on the cross section.

[0011] As a further improvement of the present invention, it also includes classifying and storing the monitoring data in a monitoring database; the data storage format in the monitoring database is a general format; and the data in the monitoring database is backed up according to a set frequency.

[0012] Secondly, the present invention provides an erosion gully monitoring system based on fixed cross-section control, for implementing the above-mentioned erosion gully monitoring method based on fixed cross-section control, comprising: The data acquisition module acquires the extent of erosion gullies in the target cultivated land area and determines the bottom line of the erosion gullies based on the extent of the erosion gullies. The data processing module obtains cross-sectional point pairs using the bottom line of the erosion gully, and obtains the fixed cross-sectional layout result based on the cross-sectional point pairs; The data marking module marks erosion gullies in the target cultivated land area based on the results of fixed cross-section layout; The data analysis module acquires real-time erosion data of the marked erosion gullies in the target cultivated land area. Based on the erosion data, the erosion volume is obtained based on the erosion volume calculation model, and then the erosion gully monitoring results are obtained.

[0013] Thirdly, the present invention provides a computer-readable storage medium for storing one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform the above-described method for monitoring erosion trenches based on fixed cross-section control.

[0014] Fourthly, the present invention provides a computing device, comprising: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including steps for performing the above-described method for monitoring erosion trenches based on fixed cross-section control.

[0015] The beneficial effects of this invention are as follows: This invention provides a method for monitoring erosion gullies based on fixed cross-section control. By deploying permanent markers at fixed cross-sections, it ensures that each monitoring is conducted at the same reference location (such as a key cross-section at the bottom of the gully), achieving continuous data acquisition over time. This stability provides a reliable basis for long-term tracking of erosion dynamics (such as the gully bottom incision rate and the gully bank expansion amplitude), helping to reveal the periodic patterns or abrupt changes in the erosion process. Based on the geometric characteristics of the fixed cross-section (such as the location of cross-section points, gully width, and gully depth), combined with an erosion volume calculation model, the erosion volume can be quantitatively calculated. Compared to traditional visual inspection or single-parameter estimation methods, this method avoids subjective errors through multi-dimensional geometric data fusion, achieving accurate quantification of the degree of erosion and providing a scientific basis for evaluating the effectiveness of remediation efforts. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the erosion gully monitoring method based on fixed cross-section control in an embodiment of the present invention; Figure 2 This is a schematic diagram of the fixed measurement section point planning in an embodiment of the present invention; Figure 3 This is a schematic diagram of typical erosion monitoring results in the Hebei River Basin, as described in an embodiment of the present invention. Figure 4This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives and technical solutions of this invention clearer and easier to understand, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0019] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. The described embodiments are only some embodiments of the present invention, and not all embodiments.

[0020] Example 1 This embodiment discloses a method for monitoring erosion gullies based on fixed cross-section control. It mainly involves determining the gully bottom line by obtaining the gully range and planning cross-section point pairs. After marking the erosion gully, real-time erosion data is obtained, and then the erosion volume is obtained using an erosion calculation model, thereby realizing the monitoring of erosion gullies.

[0021] like Figures 1 to 3 As shown, the main steps of the erosion gully monitoring method based on fixed cross-section control include: The process involves obtaining the extent of erosion gullies in the target cultivated land area, determining the gully bottom line based on the gully extent, obtaining cross-sectional point pairs using the gully bottom line, and obtaining a fixed cross-section layout based on the cross-sectional point pairs. The erosion gullies in the target cultivated land area are then marked based on the fixed cross-section layout. Real-time erosion data of the marked erosion gullies in the target cultivated land area is acquired in real time. Based on the erosion data and an erosion volume calculation model, the erosion volume is obtained, leading to the erosion gully monitoring results.

[0022] Select a drone with a flight time of at least 30 minutes and a resolution of at least 20 megapixels, such as the DJI Phantom 4 RTK, whose lens features image stabilization. Conduct aerial photography of the erosion gullies in the target farmland area under favorable weather conditions: wind speed less than level 3, sufficient sunlight, and no clouds, rain, or snow. Set the flight altitude to 50m, with a forward overlap of 80% and a lateral overlap of 70%, and maintain a flight speed of 3-5m / s to ensure clear and high-quality images of the erosion gullies. Prepare at least two spare batteries to ensure continuous aerial photography.

[0023] The acquired raw aerial photographs were imported into the latest version of Pix4dmapper software, which had the necessary plugins installed and was functioning correctly. The software was pre-configured, with the densification point density set to medium and the matching accuracy set to high in the aerial triangulation parameters. Then, the aerial triangulation was performed to obtain DOM (Digital Orthophoto Map) data and DSM (Digital Surface Model) data.

[0024] The specific steps for determining the baseline of an erosion gully include: first, extracting the elevation depression axis of the gully from DSM data as the initial baseline; then, combining visual features from DOM data, such as the light and dark variations of the gully channel and edge morphology, manually refining the initial baseline to ensure it conforms to the actual erosion path. This process can be performed using ArcGIS software, utilizing its drawing and editing functions.

[0025] In ArcGIS software, several cross-sectional point pairs are planned along the corrected gully baseline, from the top to the bottom of the gully slope. These cross-sectional point pairs are distributed on both sides of the gully baseline, and their connecting lines are perpendicular to the baseline. These cross-sections are used to reflect the lateral morphology of the gully. The number of cross-sectional point pairs should be greater than or equal to seven. If the gully length is less than 70m, then seven cross-sectional point pairs are evenly distributed from top to bottom according to the gully length. After planning, the distribution of the cross-sectional point pairs is checked in ArcGIS software to ensure that their connecting lines are perpendicular to the gully baseline and that the distribution is uniform and reasonable, forming a fixed cross-sectional layout.

[0026] Import the fixed cross-section layout results into the GNSS-RTK rover station, ensuring the coordinate system is consistent with the previously determined unified coordinate system. Establish a network RTK connection between the base station and the rover station via a mobile hotspot. After powering on the GNSS-RTK rover station, perform at least 5 minutes of static calibration to ensure the equipment is in optimal working condition. The horizontal accuracy of this equipment is 0.8cm ±10. -6 x (where x is the measurement distance), vertical accuracy is 1.5cm ± 10. -6 x. Then, the on-site coordinates are laid out. Surveyors face downstream, with the left edge of the erosion gully designated as the left bank point and the right edge as the right bank point. The cross-sectional points are numbered and marked. Red flags are used in general environments; in densely vegetated areas, PVC pipes with red reflective strips are used as markers, at a height of at least 1.5 meters to ensure clear identification even in complex environments. Simultaneously, the location, number, and other information of each marker point are recorded in detail, and photographs of the surrounding environment are taken for later retrieval.

[0027] After each spring snowmelt and after productive rainfall during the rainy season, the marked gullies in the target cultivated land area are monitored.

[0028] First, use a drone to conduct aerial photography of the erosion trench according to the same parameters and requirements as described above, and obtain the DOM and DSM data of the erosion trench at this time.

[0029] Then, at the marked points on the cross-section, use a calibrated measuring tape with an accuracy of 1 mm to measure the top width (horizontal distance between the two sides of the top of the shallow gully) and bottom width (horizontal distance between the two sides of the bottom of the shallow gully) of each erosion gully cross-section. Ensure the measuring tape is horizontal during measurement to avoid errors caused by tape tilt, and read the measurements to the millimeter. When measuring three depths (the depths at the three vertical tops at 1 / 4, 1 / 2, and 3 / 4 of the cross-section), ensure the measuring rod is perpendicular to the cross-section, again reading the measurements to the millimeter, and record the width and depth data.

[0030] In addition, use a camera or mobile phone with at least 12 megapixels to take photos of the locations (three photos: upstream, downstream, and directly facing the erosion gully). The photo resolution should be at least 300 dpi, the shooting angle should be horizontal, and the shape of the erosion gully and the location of the marker points should be clearly shown. Use a dedicated record sheet to record the measurement data and shooting information. The record sheet must include the cross-section number, measurement time, measurement personnel, and various measurement data. The records must be clear and accurate, and alterations should be avoided.

[0031] Based on the erosion data obtained above, the erosion volume is calculated using an erosion calculation model. The model formula is as follows:

[0032] In the formula, w 1 and w 2 represents the upper width and lower width of the erosion gully. h 1. h 2 and h 3 represents 3 depths. L This is the interval distance between points on the cross section.

[0033] All monitoring data acquired during the monitoring process, including measurement data, photos, DOM (Distributed Object Model), and DSM (Distributed Data Structure), are categorized and stored in the monitoring database. The database uses common data storage formats, such as Excel for measurement data, JPEG for photos, and TIFF for DOM and DSM, facilitating data sharing and use. Data in the monitoring database is backed up at a set frequency using external hard drives, USB flash drives, etc., and off-site backups are performed to prevent data loss due to local storage device failure. Backups should be performed at least monthly, with increased frequency for critical data. Data is regularly organized and archived, invalid data is deleted, and data information is supplemented and improved. Archived data includes descriptions such as collection time, location, personnel, and content, facilitating future review and use.

[0034] To fully demonstrate the effectiveness of the rapid estimation method for erosion gully density in Example 1, the following section describes cross-sectional monitoring of a typical erosion gully in the Hebei watershed of a farm in Heshan, Northeast China. The cross-sectional monitoring method in this example will be explained in detail.

[0035] (1) Conduct aerial photography using UAVs, setting the flight altitude to 50m, with 80% overlap in the flight direction and 70% overlap in the lateral direction. Use Pix4Dmapper to perform aerial triangulation and generate DOM and DSM. In ArcGIS, extract the ditch baseline based on DOM and DSM, and generate cross-section point pairs perpendicular to the ditch baseline at 10m intervals, for a total of 37 monitoring cross-section pairs.

[0036] (2) Configure the GNSS-RTK network and connect to the CORS service via mobile hotspot. Use GNSS-RTK to lay out points at the initial deployment locations, set up cross-section points, and place red flag markers at the deployment locations.

[0037] (3) Repeat cross-sectional monitoring is carried out during the snowmelt season and runoff-generating rainfall (generally >20mm in this area). The cross-section is located at the deployment point using a GNSS-RTK mobile station, and the top and bottom widths and three depths of the cross-section are measured and recorded using a measuring tape.

[0038] (4) The cross-sectional width and depth data measured in the field are used to calculate the erosion volume of the erosion gully.

[0039] This embodiment proposes a standardized cross-section layout specification, which arranges cross-section points at equal intervals along both sides of the erosion gully to ensure that each monitoring is carried out at the exact same cross-section location, thereby improving the temporal comparability of erosion gully monitoring and the accuracy of dynamic analysis.

[0040] Example 2 This embodiment provides an erosion gully monitoring system based on fixed cross-section control, used to implement the erosion gully monitoring method based on fixed cross-section control in Embodiment 1, including: The data acquisition module acquires the extent of erosion gullies in the target cultivated land area and determines the bottom line of the erosion gullies based on the extent of the erosion gullies. The data processing module obtains cross-sectional point pairs using the bottom line of the erosion gully, and obtains the fixed cross-sectional layout result based on the cross-sectional point pairs; The data marking module marks erosion gullies in the target cultivated land area based on the results of fixed cross-section layout; The data analysis module acquires real-time erosion data of the marked erosion gullies in the target cultivated land area. Based on the erosion data, the erosion volume is obtained based on the erosion volume calculation model, and then the erosion gully monitoring results are obtained.

[0041] Example 3 In another embodiment of the present invention, a computer-readable storage medium is provided as a storage component within a terminal device, the function of which is to store programs and data. It should be noted that the computer-readable storage medium here encompasses not only the built-in storage components of the terminal device but also extended storage components supported by the device. Essentially, it is a tangible medium capable of containing or storing programs that can be invoked by or in conjunction with an instruction execution system, device, or apparatus. This storage medium provides storage areas for the terminal's operating system and stores one or more instructions suitable for processor loading and execution, which can constitute one or more computer programs containing program code.

[0042] Specifically, examples of computer-readable storage media (a non-exclusive list) include: electrical connections with one or more wires, portable disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable optical disc read-only memory, optical storage devices, magnetic storage devices, or any reasonable combination of the above types.

[0043] The storage medium may also include data signals propagated as part of a baseband portion or a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any reasonable combination of both. Furthermore, computer-readable storage medium may also refer to other readable media besides conventional readable storage media, capable of sending, propagating, or transmitting programs for use or operation by an instruction execution system, apparatus, or device. Program code on the storage medium can be transmitted via any suitable medium, including but not limited to wireless, wired, optical fiber, or any reasonable combination thereof.

[0044] The program code used to implement the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C. The execution modes of the program code include: running entirely on the user's computing device, running partially on the user's device as a standalone software package, running partially in a distributed manner on both the user's device and a remote computing device, or running entirely on a remote computing device or server. When a remote computing device is involved, the device can be connected to the user's computing device via any type of network such as a local area network (LAN) or a wide area network (WAN), or connected to an external computing device via the Internet through an Internet service provider.

[0045] The processor is capable of loading and executing one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the erosion gully monitoring method based on fixed cross-section control described in Example 1.

[0046] Example 4 Figure 4This is a schematic diagram of a computer device provided according to an embodiment of the present invention.

[0047] Please see Figure 4 The terminal device is a computer device. In this embodiment, the computer device 60 includes a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When executed by the processor 61, the computer program 63 implements the erosion gully monitoring method based on fixed cross-section control as described in this embodiment. To avoid repetition, details are omitted here. Alternatively, when executed by the processor 61, the computer program 63 implements the functions of each model / unit in the computational system constituting the erosion gully monitoring method based on fixed cross-section control as described in this embodiment. To avoid repetition, details are omitted here.

[0048] Computer device 60 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. Computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will understand that... Figure 4 This is merely an example of computer device 60 and does not constitute a limitation on computer device 60. It may include more or fewer components than shown, or combine certain components, or different components. For example, computer device may also include input / output devices, network access devices, buses, etc.

[0049] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, CPUs, graphics processing units (GPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, quantum computing-based data processing logic units, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0050] The memory 62 can be an internal storage unit of the computer device 60, such as a hard disk or RAM of the computer device 60. The memory 62 can also be an external storage device of the computer device 60, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on the computer device 60.

[0051] Furthermore, the memory 62 may include both internal storage units of the computer device 60 and external storage devices. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 can also be used to temporarily store data that has been output or will be output.

[0052] Any references to memory, databases, or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0053] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

Claims

1. A method for monitoring erosion gullies based on fixed cross-section control, characterized in that, include: Obtain the gully range of the target cultivated land area, determine the bottom line of the gully based on the gully range, obtain cross-section point pairs using the bottom line of the gully, and obtain the fixed cross-section layout result based on the cross-section point pairs. Based on the results of fixed cross-section layout, erosion gullies in the target cultivated land area are permanently marked. Real-time acquisition of erosion data of marked gullies in target cultivated land areas; based on the erosion data, erosion volume is obtained through an erosion volume calculation model, thereby obtaining erosion gully monitoring results.

2. The erosion gully monitoring method based on fixed cross-section control according to claim 1, characterized in that, Obtain the extent of gullies in the target cultivated land area, including: Aerial photography using drones to obtain images of erosion gullies; Aerial triangulation was performed on the erosion trench images to obtain DOM data and DSM data.

3. The erosion gully monitoring method based on fixed cross-section control according to claim 2, characterized in that, Based on DOM and DSM data, the bottom line of the erosion trench was determined, including: The elevation depression axis of the erosion gully was extracted from DSM data as the initial gully baseline; the initial gully baseline was manually corrected by combining visual features from DOM data to make the initial gully baseline conform to the actual erosion path.

4. The erosion gully monitoring method based on fixed cross-section control according to claim 3, characterized in that, Using the bottom line of the erosion gully, cross-sectional point pairs are obtained, and based on these cross-sectional point pairs, a fixed cross-sectional layout result is obtained, including: Along the modified gully bottom line, several cross-sectional point pairs are planned from the top of the gully slope to the bottom of the gully slope. The cross-sectional point pairs are distributed on both sides of the gully bottom line and the connecting line is perpendicular to the gully bottom line. The cross-section is used to reflect the lateral width and depth of the gully.

5. The erosion gully monitoring method based on fixed cross-section control according to claim 1, characterized in that, Based on the results of fixed cross-section layout, erosion gullies in the target cultivated land area are permanently marked to achieve repeatable monitoring of the width and depth morphology of fixed cross-sections, including: After importing the fixed cross-section layout results into the GNSS-RTK mobile station, on-site coordinate layout and location marking are performed.

6. The erosion gully monitoring method based on fixed cross-section control according to claim 1, characterized in that, The erosion calculation model is based on the width and depth morphology measured by setting up a fixed cross-section. The erosion calculation model is as follows: In the formula, w 1 and w 2 represents the upper width and lower width of the erosion gully. h 1. h 2 and h 3 represents 3 depths. L This is the interval distance between points on the cross section.

7. The erosion gully monitoring method based on fixed cross-section control according to claim 6, characterized in that, It also includes classifying and storing monitoring data in a monitoring database; the data storage format in the monitoring database is a general format, and the data in the monitoring database is backed up at a set frequency.

8. A gully erosion monitoring system based on fixed cross-section control, used to implement the gully erosion monitoring method based on fixed cross-section control as described in any one of claims 1 to 7, characterized in that, include: The data acquisition module acquires the extent of erosion gullies in the target cultivated land area and determines the bottom line of the erosion gullies based on the extent of the erosion gullies. The data processing module obtains cross-sectional point pairs using the bottom line of the erosion gully, and obtains the fixed cross-sectional layout result based on the cross-sectional point pairs; The data marking module permanently marks erosion gullies in the target cultivated land area based on the results of fixed cross-section layout; The data analysis module acquires real-time erosion data of the marked erosion gullies in the target cultivated land area. Based on the erosion data, the erosion volume is obtained based on the erosion volume calculation model, and then the erosion gully monitoring results are obtained.

9. A computer-readable storage medium for storing one or more programs, characterized in that, The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform the erosion gully monitoring method based on fixed cross-section control as described in any one of claims 1 to 7.

10. A computing device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including steps for performing the steps in the erosion gully monitoring method based on fixed cross-section control according to any one of claims 1 to 7.

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