Environmental ecological restoration monitoring equipment and method

Abstract

The invention provides environment ecological restoration monitoring equipment and method. The method comprises the following steps: acquiring microwave radiation data of an exposed earth surface at a sampling point in a desert restoration area from multiple sampling angles through microwave remote sensing; determining an escape coefficient of the microwave at each sampling angle according to the roughness and dielectric constant of the soil at the sampling point for the microwave radiation data of each sampling angle; determining the linear polarization angle of the soil at the sampling point according to the incidence relation between all the escape coefficients and all the sampling angles, and further identifying the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle; determining a water retention index of the soil at the sampling point according to the soil temperature and the polarization loss at the sampling point; and other sampling points are arranged in the desert restoration area, the water retention indexes of the soil at the other sampling points continue to be determined, and the restoration effect of the desert restoration area is monitored according to all the water retention indexes. By adopting the scheme provided by the invention, errors caused by microwave polarization in the process of detecting the moisture content by microwave remote sensing can be reduced.

Description

Technical Field

[0001] This application relates to the field of environmental monitoring technology, and more specifically, to an environmental ecological restoration monitoring device and method. Background Technology

[0002] Environmental ecological restoration refers to the restoration of natural ecosystems damaged by natural disasters or human activities through human intervention or assisted natural recovery, so as to restore them to a stable, healthy and sustainable state close to their original state. This includes the restoration of various ecological environments such as marine ecological restoration, mine ecological restoration and desert ecological restoration.

[0003] In desert ecological restoration, soil moisture content is an important evaluation indicator. In current technology, microwave remote sensing is usually used to collect soil moisture content in desert restoration areas quickly and over a large area. However, in practical applications, the refractive index and reflectivity of microwaves differ between air and soil. When microwaves enter the soil at different angles, their polarization state changes, and the vibration direction of the microwave echo is not perpendicular to the incident surface, resulting in energy loss and thus deviations in moisture content detection. Furthermore, in arid wastelands, the soil surface is very rough, making this deviation even more severe. Therefore, how to reduce the error caused by microwave polarization in microwave remote sensing moisture content detection has become a challenge for the industry. Summary of the Invention

[0004] This application provides an environmental ecological restoration monitoring device and method that can reduce the error caused by microwave polarization during microwave remote sensing detection of moisture content.

[0005] In a first aspect, this application provides a method for monitoring soil water retention capacity, used in environmental ecological restoration monitoring equipment for monitoring soil water retention capacity, the method comprising: Sampling points were set up in the desert restoration area, and microwave radiation data of the exposed surface at the sampling points were collected from multiple sampling angles using microwave remote sensing. Electromagnetic simulation was performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling point to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The linear polarization angle of the soil at the sampling point is determined by the correlation between all escape coefficients and all sampling angles, and then the polarization loss of microwave remote sensing at the sampling point is identified based on the linear polarization angle. The soil temperature at the sampling point is collected by a temperature sensor. The desertification remediation effect of the soil at the sampling point is inverted based on the soil temperature and the polarization loss, and then the water retention index of the soil at the sampling point is obtained. Other sampling points were set up within the desert restoration area to further determine the soil water retention index at these other sampling points, and the desert restoration effect of the desert restoration area was monitored based on all the water retention indices.

[0006] In some embodiments, setting up sampling points within the desert restoration area specifically includes: Obtain all restoration units within the desert restoration area during ecological restoration; Select one of the repair units as the selected repair unit, and set a sampling point at the geometric center of the selected repair unit.

[0007] In some embodiments, electromagnetic simulation is performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling point to obtain the escape coefficient of microwaves entering the soil at each sampling angle, specifically including: Obtain the dielectric constant of the soil at the sampling point; Obtain the soil roughness at the sampling point; Select a sampling angle as the selected sampling angle, and determine the surface power spectral density of the microwave radiation data at the selected sampling angle; The escape coefficient of microwaves entering the soil at the selected sampling angle is determined based on the polarization direction of microwave remote sensing, the surface power spectral density of microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness. Continue to determine the escape coefficient when microwaves enter the soil at the remaining sampling angle.

[0008] In some embodiments, determining the linear polarization angle of the soil at the sampling point through the correlation between all escape coefficients and all sampling angles specifically includes: Determine multiple correlation coefficients between all escape coefficients and all sampling angles; All correlation coefficients are converted into correlations between all escape coefficients and all sampling angles; The mutation point of the escape coefficient is determined based on the aforementioned correlation; Based on the mutation point, the escape coefficient is piecewise fitted to obtain the linear polarization angle of the soil at the sampling point.

[0009] In some embodiments, identifying the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle specifically includes: Construct the incident polarization vector of the microwave echo based on the linear polarization angle; The polarization matching coefficient is determined based on the incident polarization vector and the polarization direction of the microwave remote sensing. The polarization loss of microwave remote sensing at the sampling point is determined based on the polarization matching coefficient.

[0010] In some embodiments, monitoring the desertification restoration effect of the desertification restoration area based on all water retention indices specifically includes: A moisture content distribution map of the desert restoration area was constructed based on the soil moisture content at all sampling points; The restoration effect of the desert restoration area is evaluated based on the moisture content distribution map.

[0011] In some embodiments, the polarization direction of the microwave remote sensing is vertical polarization.

[0012] Secondly, this application provides an environmental ecological restoration monitoring device, which includes a soil water retention capacity monitoring unit, the soil water retention capacity monitoring unit comprising: The acquisition module is used to collect microwave radiation data of the exposed surface at the sampling points from multiple sampling angles through microwave remote sensing after sampling points are set up in the desert restoration area. The processing module is used to perform electromagnetic simulation on the microwave radiation data at each sampling angle based on the roughness and dielectric constant of the soil at the sampling point, and to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The processing module is also used to determine the linear polarization angle of the soil at the sampling point by means of the correlation between all escape coefficients and all sampling angles, and then identify the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle. The processing module is also used to collect the soil temperature at the sampling point through a temperature sensor, and to invert the desertification restoration effect of the soil at the sampling point based on the soil temperature and the polarization loss, thereby obtaining the water retention index of the soil at the sampling point. The execution module is used to set up other sampling points in the desert restoration area, continue to determine the water retention index of the soil at other sampling points, and monitor the desert restoration effect of the desert restoration area based on all the water retention indices.

[0013] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described environmental ecological restoration monitoring method.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described environmental ecological restoration monitoring method.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: The environmental ecological restoration monitoring equipment and method provided in this application firstly establishes sampling points within the desert restoration area. Microwave radiation data of the exposed surface at these sampling points is collected from multiple sampling angles using microwave remote sensing. Electromagnetic simulation is then performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling points to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The linear polarization angle of the soil at each sampling point is determined through the correlation between all escape coefficients and all sampling angles, and the polarization loss of microwave remote sensing at the sampling point is identified based on the linear polarization angle. The soil temperature at the sampling points is collected using a temperature sensor, and the desert restoration effect of the soil at the sampling points is inverted based on the soil temperature and the polarization loss to obtain the water retention index of the soil at the sampling points. Other sampling points are then established within the desert restoration area to further determine the water retention index of the soil at these other sampling points, and the desert restoration effect of the desert restoration area is monitored based on all water retention indices.

[0016] Therefore, this application uses multi-angle microwave radiation data for electromagnetic simulation to first obtain the absorption characteristics of the soil to microwaves at each angle (i.e., the emission coefficient). Then, by analyzing the correlation between all emission coefficients and angles, it identifies the angle at which the soil absorbs microwaves to the maximum extent (i.e., the linear polarization angle). This linear polarization angle is then used to determine the microwave loss caused by the mismatch between the transmission and reception angles (i.e., polarization loss). Finally, by using the polarization loss and the soil temperature value, the water retention capacity of the soil at the sampling point (i.e., the water retention index) is derived, thereby monitoring the restoration effect of the desertification control area. In summary, the scheme of this application can reduce the error caused by microwave polarization during microwave remote sensing detection of moisture content. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of an environmental ecological restoration monitoring method according to some embodiments of this application; Figure 2 This is an exemplary flowchart illustrating the determination of the escape coefficient according to some embodiments of this application; Figure 3 This is a simulated example diagram of the water retention distribution diagram shown in some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a soil water retention monitoring unit according to some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device for implementing an environmental ecological restoration monitoring method according to some embodiments of this application. Detailed Implementation

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of an environmental ecological restoration monitoring method according to some embodiments of this application. The environmental ecological restoration monitoring method 100 mainly includes the following steps: In step 101, sampling points are set up in the desert restoration area, and microwave radiation data of the exposed surface at the sampling points are collected from multiple sampling angles using microwave remote sensing.

[0020] In practice, the sampling points in the desert restoration area can be set up in the following way: obtain all the restoration units divided in the desert restoration area during ecological restoration, arbitrarily select one of the restoration units as the selected restoration unit, and set up a sampling point at the geometric center of the selected restoration unit.

[0021] It should be noted that, in this application, a restoration unit refers to a specific spatial unit divided according to ecological principles and actual needs during the ecological restoration process. This restoration unit is determined before ecological restoration is carried out.

[0022] In addition, in specific implementation, the collection of microwave radiation data of the exposed surface at the sampling point from multiple sampling angles by microwave remote sensing can be achieved in the following way: multiple sampling angles are preset, and the exposed surface at the sampling point is scanned by microwave remote sensing according to each sampling angle to obtain microwave brightness temperature data at each sampling angle. The microwave brightness temperature data at each sampling angle is used as the microwave radiation data of the exposed surface at the sampling point at each sampling angle. Here, scanning the exposed surface at the sampling point by microwave remote sensing according to each sampling angle means setting the microwave radiometer antenna of the microwave remote sensing to the same elevation angle as each sampling angle and scanning the exposed surface at the sampling point for 1 second. The polarization direction is set to vertical polarization. The operating frequency of the microwave remote sensing is C-band (6.6GHz). The sampling angle can be preset according to actual needs. For example, in this application, multiple angles are taken from 60° to 80° at 1° intervals as sampling angles.

[0023] In step 102, electromagnetic simulation is performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling point to obtain the escape coefficient of microwaves entering the soil at each sampling angle.

[0024] In some embodiments, reference Figure 2The figure is an exemplary flowchart illustrating the determination of the escape coefficient according to some embodiments of this application. In this application, electromagnetic simulation is performed on the microwave radiation data at each sampling angle based on the roughness and dielectric constant of the soil at the sampling point to obtain the escape coefficient of microwaves entering the soil at each sampling angle. This can be achieved by the following steps: In step 1021, the dielectric constant of the soil at the sampling point is obtained; In step 1022, the soil roughness at the sampling point is obtained; In step 1023, a sampling angle is selected as the selected sampling angle, and the surface power spectral density of the microwave radiation data at the selected sampling angle is determined. In step 1024, the escape coefficient of microwaves entering the soil at the selected sampling angle is determined based on the polarization direction of microwave remote sensing, the surface power spectral density of microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness. In step 1025, the escape coefficient of microwaves entering the soil at the remaining sampling angle is further determined.

[0025] In a specific implementation, the dielectric constant of the soil at the sampling point can be obtained in the following way: the probe of the electrical sensor is inserted into the soil at the sampling point, and the dielectric constant of the soil at the sampling point is directly collected. The electrical sensor is a TDR (Time domain reflectometry) sensor.

[0026] In practice, the soil roughness at the sampling point can be obtained in the following way: the soil within a radius of 30 cm around the sampling point is scanned by a laser profilometer to obtain the surface height of the soil at each point within a radius of 30 cm around the sampling point, and the root mean square of the surface height at each point is taken as the soil roughness at the sampling point.

[0027] It should be noted that, in this application, soil roughness is a parameter value that measures the degree of roughness of the soil surface at the sampling point.

[0028] In specific implementation, the surface power spectral density of the microwave radiation data at the selected sampling angle can be determined in the following way: First, the microwave radiation data is converted from the time domain to the frequency domain by fast Fourier transform, and the power spectral density of the microwave radiation data after conversion to the frequency domain is calculated by Welch method, and the power spectral density is used as the surface power spectral density of the microwave radiation data at the selected sampling angle.

[0029] It should be noted that, in this application, surface power spectral density is a parameter describing the energy distribution intensity of soil surface roughness at spatial frequencies.

[0030] In specific implementation, the escape coefficient of microwaves entering the soil at the selected sampling angle can be determined by the following method based on the polarization direction of microwave remote sensing, the surface power spectral density of microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness: the polarization direction of microwave remote sensing, the surface power spectral density of microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness are input into the AIEM (Advanced Integral Equation Model), and the output of the AIEM model is used as the escape coefficient of the selected sampling angle.

[0031] It should be noted that the escape coefficient in this application is a parameter value that measures how much microwave escapes from the Earth's surface when it enters the Earth's surface from a specific angle without being absorbed by the surface.

[0032] In step 103, the linear polarization angle of the soil at the sampling point is determined by the correlation between all escape coefficients and all sampling angles, and then the polarization loss of microwave remote sensing at the sampling point is identified based on the linear polarization angle.

[0033] In some embodiments, determining the linear polarization angle of the soil at the sampling point by means of the correlation between all escape coefficients and all sampling angles can be achieved by the following steps: Determine multiple correlation coefficients between all escape coefficients and all sampling angles; All correlation coefficients are converted into correlations between all escape coefficients and all sampling angles; The mutation point of the escape coefficient is determined based on the aforementioned correlation; Based on the mutation point, the escape coefficient is piecewise fitted to obtain the linear polarization angle of the soil at the sampling point.

[0034] In practice, determining the multiple correlation coefficients between all escape coefficients and all sampling angles can be achieved in the following way: arrange all escape coefficients in ascending order of sampling angle, calculate all autocorrelation coefficients of the resulting sequence, and use all autocorrelation coefficients as multiple correlation coefficients between all escape coefficients and all sampling angles. Calculating all autocorrelation coefficients of the resulting sequence means treating the resulting sequence as a time series and calculating the autocorrelation coefficients of the time series at different lag times using the autocorrelation coefficient method.

[0035] It should be noted that the correlation coefficient in this application is a parameter value that measures the degree of correlation of the escape coefficient at different sampling angles.

[0036] In practice, converting all correlation coefficients into the correlation between all escape coefficients and all sampling angles can be achieved in the following way: arrange all correlation coefficients in ascending order of lag time, and then use the resulting sequence as the correlation between all escape coefficients and all sampling angles.

[0037] It should be noted that the correlation in this application is a sequence describing the degree of correlation of the escape coefficients at different sampling angle intervals.

[0038] In specific implementation, the mutation point of the escape coefficient can be determined according to the correlation relationship in the following way: all the correlation coefficients in the correlation relationship are compared with the preset correlation threshold in turn, and the lag time t of the first correlation coefficient less than the correlation threshold is obtained. Then, all the escape coefficients are arranged in ascending order of sampling angle, and the t-th escape coefficient in the arranged sequence is taken as the mutation point of the escape coefficient. The correlation threshold can be preset according to actual needs. For example, in this application, the correlation threshold is preset to 0.1.

[0039] It should be noted that, in this application, the mutation point is the point corresponding to the first significant decrease in the correlation between the escape coefficient and the sampling angle.

[0040] In specific implementation, the linear polarization angle of the soil at the sampling point can be obtained by segmenting and fitting the escape coefficient based on the mutation point in the following way: First, all escape coefficients are arranged in ascending order of sampling angle, and the arranged sequence is divided into two sub-sequences according to the mutation point. Then, the two sub-sequences are fitted into curves by the least squares method in the prior art. Finally, the abscissa corresponding to the intersection of the two curves is taken as the linear polarization angle of the soil at the sampling point.

[0041] It should be noted that the linear polarization angle in this application is the sampling angle when the reflected echo of the microwave is linearly polarized light. Under this linear polarization angle, the reflected echo of the microwave is perpendicular to the incident surface, the reflected echo of the microwave is perpendicular to the transmitted wave, and the vertical polarization component of the microwave is absorbed to the maximum extent by the soil medium.

[0042] In some embodiments, identifying the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle can be achieved using the following steps: Construct the incident polarization vector of the microwave echo based on the linear polarization angle; The polarization matching coefficient is determined based on the incident polarization vector and the polarization direction of the microwave remote sensing. The polarization loss of microwave remote sensing at the sampling point is determined based on the polarization matching coefficient.

[0043] In specific implementation, the incident polarization vector of the microwave echo can be constructed based on the linear polarization angle in the following way: the linear polarization angle can be used as the polarization direction of the microwave incident. With the horizontal and vertical as the basis, the incident polarization vector can be constructed as [cos(k);sin(k)], where k is the linear polarization angle.

[0044] It should be noted that the incident polarization vector in this application describes the direction of microwave vibration; In specific implementation, the polarization matching coefficient can be determined based on the incident polarization vector and the polarization direction of the microwave remote sensing in the following way: obtain the polarization direction of the microwave remote sensing, and construct the receiving polarization vector based on the polarization direction of the microwave remote sensing. In this application, the polarization direction of the microwave remote sensing is vertical polarization, that is, the receiving polarization vector is constructed as [0;1]. Subsequently, measure the degree of difference between the incident polarization vector and the receiving polarization vector, and project the two onto the same direction to calculate the degree of difference, that is, perform a dot product between the transpose of the receiving polarization vector and the incident polarization vector, and use the square of the obtained value as the polarization matching coefficient.

[0045] It should be noted that, in this application, the polarization matching coefficient is a parameter value that measures the degree of overlap between the polarization direction of the microwave and the polarization direction of the receiver; In practice, the polarization loss of microwave remote sensing at the sampling point can be determined based on the polarization matching coefficient in the following way: the matching coefficient is converted into power loss caused by angle mismatch, and the power loss is used as the polarization loss. That is, the matching coefficient is taken as the logarithm of 10, the obtained value is multiplied by 10 and the opposite number is taken, and the obtained value is used as the polarization loss of microwave remote sensing at the sampling point.

[0046] It should be noted that, in this application, polarization loss is a parameter value that measures the degree of signal attenuation caused by polarization mismatch.

[0047] In step 104, the soil temperature at the sampling point is collected by a temperature sensor. The desertification remediation effect of the soil at the sampling point is inverted based on the soil temperature and the polarization loss, and then the water retention index of the soil at the sampling point is obtained.

[0048] In practice, the soil temperature at the sampling point can be collected by a temperature sensor in the following way: insert the temperature sensor into the soil at the sampling point, collect the temperature value through the temperature sensor, and use the temperature value as the soil temperature at the sampling point.

[0049] In some embodiments, the desertification remediation effect of the soil at the sampling point is inverted based on the soil temperature and the polarization loss, and the water retention index of the soil at the sampling point is obtained by the following steps: The electromagnetic coefficient of the soil at the sampling point is determined based on the soil temperature and the polarization loss. The soil moisture content at the sampling point is determined based on the electromagnetic coefficient. Obtain the historical moisture content of the soil at the sampling point; The water retention index of the soil at the sampling point is determined based on the historical moisture content of the soil at the sampling point and the moisture content intensity.

[0050] In specific implementation, the electromagnetic coefficient of the soil at the sampling point can be determined based on the soil temperature and the polarization loss in the following way: First, arbitrarily select a sampling angle as the selected sampling angle, add the microwave radiation data of the selected sampling angle to the polarization loss to remove the error caused by polarization, and then correct it by the soil temperature, that is, divide the sum by the soil temperature, and take the final quotient as the electromagnetic coefficient of the soil at the sampling point.

[0051] It should be noted that the electromagnetic coefficient in this application is a parameter value describing the microwave radiation characteristics of soil under specific incident angles and polarization conditions.

[0052] In specific implementation, the soil moisture content at the sampling point can be determined based on the electromagnetic coefficient in the following way: First, obtain the sampling angle corresponding to the electromagnetic coefficient, input the sampling angle and electromagnetic coefficient into the Fresnel equation for solving, use the electromagnetic coefficient as the emissivity in the Fresnel equation, and input the real part of the obtained complex number as the parameter P into the Dobson model for moisture content inversion, and then use the result output by the Dobson model as the soil moisture content at the sampling point.

[0053] It should be noted that the historical moisture content in this application can be directly obtained from the database of environmental ecological restoration monitoring equipment.

[0054] In practice, the water retention index of the soil at the sampling point can be determined by the following method based on the historical moisture content and the moisture content intensity of the soil at the sampling point: the difference between the moisture content and the historical moisture content is used as the water retention index of the soil at the sampling point.

[0055] It should be noted that the water retention index in this application is a parameter value that measures the water retention capacity of soil.

[0056] In step 105, other sampling points are set up in the desert restoration area to further determine the water retention index of the soil at the other sampling points, and the desert restoration effect of the desert restoration area is monitored based on all the water retention indices.

[0057] In practice, setting up other sampling points within the desert restoration area can be achieved by the following steps: obtaining all restoration units divided within the desert restoration area during ecological restoration, and setting up sampling points at the geometric center of each restoration unit.

[0058] In some embodiments, monitoring the desertification control effect of the desertification control area based on all water retention indices can be achieved using the following steps: A water retention capacity distribution map of the desert restoration area was constructed based on the water retention index of the soil at all sampling points; The restoration effect of the desert restoration area is evaluated based on the water retention distribution map.

[0059] In practice, the water retention capacity distribution map of the desert restoration area can be constructed based on the water retention index of the soil at all sampling points in the following way: the water retention index of the soil at all sampling points is inverted using the Kriging interpolation method in the prior art, and the image composed of the water retention indices of each location obtained by inversion is used as the water retention capacity distribution map of the desert restoration area.

[0060] In specific implementation, the evaluation of the restoration effect of the desert restoration area based on the water retention distribution map can be achieved in the following way: a water retention threshold can be preset, and the area with a water retention index greater than the water retention threshold in the water retention distribution map is regarded as the restoration standard area and marked in green, and the remaining area is regarded as the restoration non-standard area and marked in red. The marking results are visualized. The water retention threshold can be preset according to actual needs. For example, in this application, the water retention threshold is preset to 1%.

[0061] In some embodiments, such as Figure 3 As shown, this figure is a simulated example of a water retention distribution map according to some embodiments of this application. The figure uses gray values ​​to represent the water retention index at each location. The minimum gray value corresponds to a water content of -10%, and the maximum gray value corresponds to a water content of 10%. The upper right corner is a directional indicator used to correspond to the actual direction, and the scale "0–0.5–1" (km) in the lower right corner is a scale used to estimate the distance between two points in the figure.

[0062] In another aspect, in some embodiments, this application provides an environmental ecological restoration monitoring device, which includes a soil water retention monitoring unit, as referenced. Figure 4 The figure is a schematic diagram of the structure of a soil water retention monitoring unit according to some embodiments of this application. The soil water retention monitoring unit 400 includes: a data acquisition module 401, a processing module 402, and an execution module 403, which are described below: The acquisition module 401 in this application is mainly used to collect microwave radiation data of the exposed surface at the sampling point from multiple sampling angles after setting up sampling points in the desert restoration area; Processing module 402, in this application, is mainly used to perform electromagnetic simulation on microwave radiation data at each sampling angle based on the roughness and dielectric constant of the soil at the sampling point, so as to obtain the escape coefficient of microwaves entering the soil at each sampling angle. It should be noted that the processing module 402 in this application is also used to determine the linear polarization angle of the soil at the sampling point through the correlation between all escape coefficients and all sampling angles, and then identify the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle. It should be noted that the processing module 402 in this application is also used to collect the soil temperature at the sampling point through a temperature sensor, and to invert the desertification restoration effect of the soil at the sampling point based on the soil temperature and the polarization loss, thereby obtaining the water retention index of the soil at the sampling point. The execution module 403 in this application is mainly used to set up other sampling points in the desert restoration area, continue to determine the water retention index of the soil at other sampling points, and monitor the desert restoration effect of the desert restoration area based on all the water retention indices.

[0063] In addition, this application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to acquire the code and execute the above-described environmental ecological restoration monitoring method.

[0064] In some embodiments, reference Figure 5 The figure is a schematic diagram of the structure of a computer device for implementing an environmental ecological restoration monitoring method according to some embodiments of this application. The environmental ecological restoration monitoring method in the above embodiments can... Figure 5 The computer device shown is used to implement this, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0065] Processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0066] The communication bus 502 can be used to transmit information between the aforementioned components.

[0067] Memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CDROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory 503 may exist independently and be connected to processor 501 via communication bus 502. Memory 503 may also be integrated with processor 501.

[0068] The memory 503 stores program code for executing the scheme of this application, and its execution is controlled by the processor 501. The processor 501 executes the program code stored in the memory 503. The program code may include one or more software modules. In the above embodiments, the environmental ecological restoration monitoring method can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0069] Communication interface 504 uses any transceiver-like device to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0070] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0071] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0072] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described environmental ecological restoration monitoring method.

[0073] In summary, the environmental ecological restoration monitoring equipment and method disclosed in this application firstly involves setting up sampling points within the desert restoration area and collecting microwave radiation data of the exposed surface at the sampling points from multiple sampling angles using microwave remote sensing. Electromagnetic simulation is then performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling points to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The linear polarization angle of the soil at the sampling points is determined through the correlation between all escape coefficients and all sampling angles, and the polarization loss of microwave remote sensing at the sampling points is identified based on the linear polarization angle. The soil temperature at the sampling points is collected using a temperature sensor, and the desert restoration effect of the soil at the sampling points is inverted based on the soil temperature and the polarization loss to obtain the water retention index of the soil at the sampling points. Other sampling points are then set up within the desert restoration area to further determine the water retention index of the soil at these other sampling points, and the desert restoration effect of the desert restoration area is monitored based on all water retention indices.

[0074] Therefore, this application uses multi-angle microwave radiation data for electromagnetic simulation to first obtain the absorption characteristics of the soil to microwaves at each angle (i.e., the emission coefficient). Then, by analyzing the correlation between all emission coefficients and angles, it identifies the angle at which the soil absorbs microwaves to the maximum extent (i.e., the linear polarization angle). This linear polarization angle is then used to determine the microwave loss caused by the mismatch between the transmission and reception angles (i.e., polarization loss). Finally, by using the polarization loss and the soil temperature value, the water retention capacity of the soil at the sampling point (i.e., the water retention index) is derived, thereby monitoring the restoration effect of the desertification control area. In summary, the scheme of this application can reduce the error caused by microwave polarization during microwave remote sensing detection of moisture content.

[0075] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0076] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for monitoring soil water retention capacity, used in environmental ecological restoration monitoring equipment for monitoring soil water retention capacity, characterized in that, The method includes: Sampling points were set up in the desert restoration area, and microwave radiation data of the exposed surface at the sampling points were collected from multiple sampling angles using microwave remote sensing. Electromagnetic simulation was performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling point to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The linear polarization angle of the soil at the sampling point is determined by the correlation between all escape coefficients and all sampling angles, and then the polarization loss of microwave remote sensing at the sampling point is identified based on the linear polarization angle. The soil temperature at the sampling point is collected by a temperature sensor. The desertification remediation effect of the soil at the sampling point is inverted based on the soil temperature and the polarization loss, and then the water retention index of the soil at the sampling point is obtained. Other sampling points were set up within the desert restoration area to further determine the soil water retention index at these other sampling points, and the desert restoration effect of the desert restoration area was monitored based on all the water retention indices.

2. The method as described in claim 1, characterized in that, Setting up sampling points within the desert restoration area specifically includes: Obtain all restoration units within the desert restoration area during ecological restoration; Select one of the repair units as the selected repair unit, and set a sampling point at the geometric center of the selected repair unit.

3. The method as described in claim 1, characterized in that, Electromagnetic simulations were performed on the microwave radiation data at each sampling angle based on the soil roughness and dielectric constant at the sampling points. The specific escape coefficients of microwaves entering the soil at each sampling angle include: Obtain the dielectric constant of the soil at the sampling point; Obtain the soil roughness at the sampling point; Select a sampling angle as the selected sampling angle, and determine the surface power spectral density of the microwave radiation data at the selected sampling angle; The escape coefficient of microwaves entering the soil at the selected sampling angle is determined based on the polarization direction of microwave remote sensing, the surface power spectral density of microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness. Continue to determine the escape coefficient when microwaves enter the soil at the remaining sampling angle.

4. The method as described in claim 1, characterized in that, Determining the linear polarization angle of the soil at the sampling point by the correlation between all escape coefficients and all sampling angles specifically includes: Determine multiple correlation coefficients between all escape coefficients and all sampling angles; All correlation coefficients are converted into correlations between all escape coefficients and all sampling angles; The mutation point of the escape coefficient is determined based on the aforementioned correlation; Based on the mutation point, the escape coefficient is piecewise fitted to obtain the linear polarization angle of the soil at the sampling point.

5. The method as described in claim 1, characterized in that, The identification of the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle specifically includes: Construct the incident polarization vector of the microwave echo based on the linear polarization angle; The polarization matching coefficient is determined based on the incident polarization vector and the polarization direction of the microwave remote sensing. The polarization loss of microwave remote sensing at the sampling point is determined based on the polarization matching coefficient.

6. The method as described in claim 1, characterized in that, Monitoring the desertification restoration effect in the aforementioned desertification restoration area based on all water retention indices specifically includes: A moisture content distribution map of the desert restoration area was constructed based on the soil moisture content at all sampling points; The restoration effect of the desert restoration area is evaluated based on the moisture content distribution map.

7. The method as described in claim 1, characterized in that, The polarization direction of the microwave remote sensing is vertical polarization.

8. An environmental ecological restoration monitoring device, comprising a soil water retention capacity monitoring unit, characterized in that, The soil water retention capacity monitoring unit includes: The acquisition module is used to collect microwave radiation data of the exposed surface at the sampling points from multiple sampling angles through microwave remote sensing after sampling points are set up in the desert restoration area. The processing module is used to perform electromagnetic simulation on the microwave radiation data at each sampling angle based on the roughness and dielectric constant of the soil at the sampling point, and to obtain the escape coefficient of microwaves entering the soil at each sampling angle. The processing module is also used to determine the linear polarization angle of the soil at the sampling point by means of the correlation between all escape coefficients and all sampling angles, and then identify the polarization loss of microwave remote sensing at the sampling point based on the linear polarization angle. The processing module is also used to collect the soil temperature at the sampling point through a temperature sensor, and to invert the desertification restoration effect of the soil at the sampling point based on the soil temperature and the polarization loss, thereby obtaining the water retention index of the soil at the sampling point. The execution module is used to set up other sampling points in the desert restoration area, continue to determine the water retention index of the soil at other sampling points, and monitor the desert restoration effect of the desert restoration area based on all the water retention indices.

9. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the environmental ecological restoration monitoring method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the environmental ecological restoration monitoring method as described in any one of claims 1 to 7.

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