An environmental ecological restoration monitoring device and method

Abstract

The application provides an environmental ecological restoration monitoring device and method, which collects microwave radiation data of a bare ground surface at a sampling point in a desert restoration area from multiple sampling angles through microwave remote sensing; determines an escape coefficient of microwave at each sampling angle according to the roughness and dielectric constant of the soil at the sampling point; determines a linear polarization angle of the soil at the sampling point according to the correlation between all the escape coefficients and all the sampling angles, and then identifies the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle; determines a water retention index of the soil at the sampling point according to the soil temperature and the polarization loss at the sampling point; sets other sampling points in the desert restoration area, continues to determine the water retention index of the soil at the other sampling points, and monitors the restoration effect of the desert restoration area according to all the water retention indexes. The application can reduce the error caused by microwave polarization in the process of detecting the water content through microwave remote sensing.

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:

[0006] 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.

[0007] 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.

[0008] 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.

[0009] acquire the soil temperature at the sampling point through the temperature sensor, and inverse the desertification repair effect of the soil at the sampling point according to the soil temperature and the polarization loss, so as to obtain the water retention index of the soil at the sampling point;

[0010] set other sampling points in the desertification repair area, continue to determine the water retention index of the soil at the other sampling points, and monitor the desertification repair effect of the desertification repair area according to all the water retention indexes.

[0011] In some embodiments, the setting of the sampling points in the desertification repair area specifically includes:

[0012] acquire all the repair units divided in the desertification repair area during ecological repair;

[0013] select one of the repair units as a selected repair unit, and set a sampling point at the geometric center of the selected repair unit.

[0014] In some embodiments, the electromagnetic simulation of the microwave radiation data at each sampling angle according to the roughness and the dielectric constant of the soil at the sampling point to obtain the escape coefficient when the microwave enters the soil at the sampling angle specifically includes:

[0015] acquire the dielectric constant of the soil at the sampling point;

[0016] acquire the soil roughness at the sampling point;

[0017] select a sampling angle as a selected sampling angle, and determine the surface power spectral density of the microwave radiation data at the selected sampling angle;

[0018] determine the escape coefficient when the microwave enters the soil at the selected sampling angle according to the polarization direction of the microwave remote sensing, the surface power spectral density of the microwave radiation data at the selected sampling angle, the dielectric constant and the soil roughness;

[0019] continue to determine the escape coefficient when the microwave enters the soil at the remaining sampling angles.

[0020] In some embodiments, the determination of the linear polarization angle of the soil at the sampling point through the correlation between all the escape coefficients and all the sampling angles specifically includes:

[0021] determine a plurality of correlation coefficients between all the escape coefficients and all the sampling angles;

[0022] convert all the correlation coefficients into the correlation between all the escape coefficients and all the sampling angles;

[0023] determine the mutation point of the escape coefficient according to the correlation;

[0024] fitting the escape coefficients based on the mutation points, and obtaining the linear polarization angle of the soil at the sampling point.

[0025] In some embodiments, identifying the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle specifically comprises:

[0026] constructing an incident polarization vector of the microwave echo according to the linear polarization angle;

[0027] determining a polarization matching coefficient according to the incident polarization vector and the polarization direction of the microwave remote sensing;

[0028] determining the polarization loss of the microwave remote sensing at the sampling point according to the polarization matching coefficient.

[0029] In some embodiments, monitoring the desert restoration effect of the desert restoration area according to all water retention indexes specifically comprises:

[0030] constructing a water content distribution map of the desert restoration area according to the water content of the soil at all sampling points;

[0031] evaluating the restoration effect of the desert restoration area according to the water content distribution map.

[0032] In some embodiments, the polarization direction of the microwave remote sensing is vertical polarization.

[0033] In a second aspect, the present application provides an environmental ecological restoration monitoring device, which comprises a soil water retention force monitoring unit, and the soil water retention force monitoring unit comprises:

[0034] a collection module, which is configured to collect microwave radiation data of a bare surface at a sampling point in a desert restoration area from multiple sampling angles by microwave remote sensing after the sampling point is set in the desert restoration area;

[0035] a processing module, which is configured to perform electromagnetic simulation on the microwave radiation data at each sampling angle according to the roughness and dielectric constant of the soil at the sampling point, and obtain an escape coefficient when the microwave enters the soil at the each sampling angle;

[0036] The processing module is further configured to determine a linear polarization angle of the soil at the sampling point through the correlation between all escape coefficients and all sampling angles, and identify the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle;

[0037] The processing module is further configured to collect soil temperature at the sampling point through a temperature sensor, and inverse the desert restoration effect of the soil at the sampling point according to the soil temperature and the polarization loss, and further obtain a water retention index of the soil at the sampling point;

[0038] The execution module is configured to set other sampling points in the desert restoration area, continue to determine water retention indexes of soils at the other sampling points, and monitor a desert restoration effect of the desert restoration area according to all the water retention indexes.

[0039] In a third aspect, the present application provides a computer device, which comprises a memory and a processor, the memory stores a code, and the processor is configured to acquire the code and execute the soil water retention force monitoring method.

[0040] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the soil water retention force monitoring method.

[0041] The technical scheme provided by the embodiments of the present application has the following beneficial effects:

[0042] In the environmental ecological restoration monitoring device and method, first, a sampling point is set in a desert restoration area, microwave radiation data of a bare surface at the sampling point is collected from multiple sampling angles through microwave remote sensing; electromagnetic simulation is performed on the microwave radiation data of each sampling angle according to the roughness and dielectric constant of the soil at the sampling point, to obtain an escape coefficient when microwave enters the soil at each sampling angle; a linear polarization angle of the soil at the sampling point is determined through the correlation between all the escape coefficients and all the sampling angles, and then polarization loss of the microwave remote sensing at the sampling point is identified based on the linear polarization angle; the soil temperature at the sampling point is collected through a temperature sensor, and the desert restoration effect of the soil at the sampling point is inversed according to the soil temperature and the polarization loss, and then a water retention index of the soil at the sampling point is obtained; other sampling points are set in the desert restoration area, water retention indexes of soils at the other sampling points are continuously determined, and the desert restoration effect of the desert restoration area is monitored according to all the water retention indexes.

[0043] Therefore, the present application first obtains the absorption characteristics of the soil to the microwave (i.e., the escape coefficient) at each angle through electromagnetic simulation of the multi-angle microwave radiation data, then identifies the angle at which the soil absorbs the microwave to the maximum extent (i.e., the linear polarization angle) through the correlation between all the escape coefficients and the angles, and then determines the loss (i.e., the polarization loss) of the microwave caused by the mismatch between the transmission and receiving angles through the linear polarization angle, and finally inverses the water retention force (i.e., the water retention index) of the soil at the sampling point through the polarization loss and the temperature value of the soil, so as to monitor the restoration effect of the desert restoration area. In summary, the present application can reduce the error caused by the microwave polarization in the process of detecting the water content rate through microwave remote sensing. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1is an example flow chart of a soil water retention force monitoring method according to some embodiments of the present application;

[0045] Figure 2 is an example flow chart of determining an escape coefficient according to some embodiments of the present application;

[0046] Figure 3 is an example simulation diagram of a water retention force distribution map according to some embodiments of the present application;

[0047] Figure 4 is a structural schematic diagram of a soil water retention force monitoring unit according to some embodiments of the present application;

[0048] Figure 5 is a structural schematic diagram of a computer device for implementing a soil water retention force monitoring method according to some embodiments of the present application. DETAILED DESCRIPTION

[0049] In order to better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in combination with the accompanying drawings and specific embodiments.

[0050] Reference Figure 1 The figure is an example flow chart of a soil water retention force monitoring method 100 according to some embodiments of the present application, which mainly includes the following steps:

[0051] In step 101, a sampling point is set in the desert restoration area, and microwave radiation data of the exposed ground surface at the sampling point is collected from multiple sampling angles by microwave remote sensing.

[0052] When specifically implemented, the setting of the sampling point in the desert restoration area can be implemented in the following manner, that is, all restoration units divided in the desert restoration area during ecological restoration are obtained, one of the restoration units is arbitrarily selected as a selected restoration unit, and a sampling point is set at the geometric center of the selected restoration unit.

[0053] It should be noted that the restoration unit in the present application refers to a specific spatial unit divided according to ecological principles and actual needs during ecological restoration, and the restoration unit is determined before ecological restoration.

[0054] In addition, in actual implementation, the microwave radiation data of the exposed ground surface at the sampling point can be collected from multiple sampling angles by microwave remote sensing in the following manner: multiple sampling angles are preset, the exposed ground surface at the sampling point is scanned by microwave remote sensing according to each sampling angle, and microwave brightness temperature data under each sampling angle is obtained, and the microwave brightness temperature data under each sampling angle is taken as the microwave radiation data of the exposed ground surface at the sampling point under each sampling angle, respectively. In this process, the microwave radiometer antenna of the microwave remote sensing is set to the same elevation angle as each sampling angle, and then the exposed ground surface at the sampling point is scanned for 1 second, the polarization direction is set to vertical polarization, the working frequency of the microwave remote sensing is set to the C frequency band (6.6 GHz), and the sampling angles can be preset according to actual needs, for example, multiple angles in the range from 60° to 80° at an interval of 1° are taken as the sampling angles in this application.

[0055] In step 102, the microwave radiation data of each sampling angle is subjected to electromagnetic simulation according to the roughness and dielectric constant of the soil at the sampling point, and the escape coefficient of the microwave entering the soil under each sampling angle is obtained.

[0056] In some embodiments, with reference to Figure 2 FIG. 1 is an exemplary flowchart for determining the escape coefficient according to some embodiments of the present application. In this application, the electromagnetic simulation of the microwave radiation data of each sampling angle according to the roughness and dielectric constant of the soil at the sampling point to obtain the escape coefficient of the microwave entering the soil under each sampling angle can be implemented in the following steps:

[0057] In step 1021, the dielectric constant of the soil at the sampling point is obtained.

[0058] In step 1022, the roughness of the soil at the sampling point is obtained.

[0059] In step 1023, one sampling angle is selected as a selected sampling angle, and the surface power spectral density of the microwave radiation data of the selected sampling angle is determined.

[0060] In step 1024, the escape coefficient of the microwave entering the soil under the selected sampling angle is determined according to the polarization direction of the microwave remote sensing, the surface power spectral density of the microwave radiation data of the selected sampling angle, the dielectric constant, and the roughness of the soil.

[0061] In step 1025, the escape coefficients of the microwave entering the soil under the remaining sampling angles are continuously determined.

[0062] In a specific implementation, the dielectric constant of the soil at the sampling point can be obtained by inserting a probe of an electrical sensor into the soil at the sampling point and directly collecting the dielectric constant of the soil at the sampling point, where the electrical sensor is a TDR (Time domain reflectometry) sensor.

[0063] In a specific implementation, the soil roughness at the sampling point can be obtained by scanning the soil within a radius of 30 centimeters around the sampling point by a laser profilometer to obtain the surface height of the soil at each position within the radius of 30 centimeters around the sampling point, and taking the root mean square of the surface height at each position as the soil roughness at the sampling point.

[0064] It should be noted that the soil roughness in the present application is a parameter value for measuring the roughness of the soil surface at the sampling point.

[0065] In a specific implementation, the surface power spectral density of the microwave radiation data at the selected sampling angle can be obtained by first converting the microwave radiation data from the time domain to the frequency domain by fast Fourier transform, calculating the power spectral density of the microwave radiation data converted to the frequency domain by the Welch method, and taking the power spectral density as the surface power spectral density of the microwave radiation data at the selected sampling angle.

[0066] It should be noted that the surface power spectral density in the present application is a parameter for describing the energy distribution intensity of the soil surface roughness in the spatial frequency.

[0067] In a specific implementation, the escape coefficient of the microwave entering the soil at the selected sampling angle can be determined according to the polarization direction of the microwave remote sensing, the surface power spectral density of the microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness by inputting the polarization direction of the microwave remote sensing, the surface power spectral density of the microwave radiation data at the selected sampling angle, the dielectric constant, and the soil roughness into an AIEM (Advanced Integral Equation Model) model, and taking the output of the AIEM model as the escape coefficient at the selected sampling angle.

[0068] It should be noted that the escape coefficient in the present application is a parameter value for measuring how much microwave escapes without being absorbed by the ground surface when the microwave is shot into the ground surface from a specific angle.

[0069] In step 103, the linear polarization angle of the soil at the sampling point is determined through the correlation between all escape coefficients and all sampling angles, and then the polarization loss of the microwave remote sensing at the sampling point is identified based on the linear polarization angle.

[0070] In some embodiments, determining the linear polarization angle of the soil at the sampling point by the correlation between all the escape coefficients and all the sampling angles can be implemented by the following steps:

[0071] determining a plurality of correlation coefficients between all the escape coefficients and all the sampling angles;

[0072] converting all the correlation coefficients into a correlation between all the escape coefficients and all the sampling angles;

[0073] determining a mutation point of the escape coefficients according to the correlation;

[0074] segment fitting the escape coefficients based on the mutation point, thereby obtaining the linear polarization angle of the soil at the sampling point.

[0075] In a specific implementation, the plurality of correlation coefficients between all the escape coefficients and all the sampling angles can be determined by the following method: arranging all the escape coefficients in ascending order of the sampling angles, and calculating all the autocorrelation coefficients of the sequence obtained after the arrangement, wherein all the autocorrelation coefficients are taken as the plurality of correlation coefficients between all the escape coefficients and all the sampling angles, and the autocorrelation coefficients of the sequence obtained after the arrangement are calculated by taking the sequence as a time sequence and using the autocorrelation coefficient method.

[0076] It should be noted that the correlation coefficient in the present application is a parameter value for measuring the correlation degree of the escape coefficients at different sampling angles.

[0077] In a specific implementation, converting all the correlation coefficients into a correlation between all the escape coefficients and all the sampling angles can be implemented by the following method: arranging all the correlation coefficients in ascending order of the lag time, and then taking the sequence obtained after the arrangement as the correlation between all the escape coefficients and all the sampling angles.

[0078] It should be noted that the correlation in the present application is a sequence for describing the correlation degree of the escape coefficients at different sampling angle intervals.

[0079] In a specific implementation, determining the mutation point of the escape coefficients according to the correlation can be implemented by the following method: comparing all the correlation coefficients in the correlation with a preset correlation threshold one by one to obtain the lag time t of the first correlation coefficient less than the correlation threshold, and then arranging all the escape coefficients in ascending order of the sampling angles, and taking the tth escape coefficient in the sequence obtained after the arrangement as the mutation point of the escape coefficients, wherein the correlation threshold can be preset according to actual needs, for example, the correlation threshold is preset to 0.1 in the present application.

[0080] It should be noted that the mutation point in the present application is the point corresponding to the escape coefficient at which the correlation degree of the escape coefficient and the sampling angle is first significantly reduced.

[0081] In a specific implementation, the escape coefficient is segmented and fitted based on the mutation point, and then the linear polarization angle of the soil at the sampling point is obtained, which can be implemented in the following manner: first, all the escape coefficients are arranged in ascending order of the sampling angle, and the arranged sequence is divided into two subsequences according to the mutation point; subsequently, the two subsequences are fitted into curves respectively by using the least square method in the prior art; and finally, the abscissa corresponding to the intersection point of the two curves is taken as the linear polarization angle of the soil at the sampling point.

[0082] It should be noted that the linear polarization angle in the present application is the sampling angle at which the reflected echo of the microwave is linearly polarized light, and at the linear polarization angle, the direction of the reflected echo of the microwave is perpendicular to the incident plane, the reflected echo of the microwave is perpendicular to the transmitted wave, and the vertical polarization component of the microwave is absorbed by the soil medium to the greatest extent.

[0083] In some embodiments, identifying the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle can be implemented in the following steps:

[0084] constructing an incident polarization vector of the microwave echo according to the linear polarization angle;

[0085] determining a polarization matching coefficient according to the incident polarization vector and the polarization direction of the microwave remote sensing;

[0086] determining the polarization loss of the microwave remote sensing at the sampling point according to the polarization matching coefficient.

[0087] In a specific implementation, the incident polarization vector of the microwave echo can be constructed according to the linear polarization angle in the following manner: the linear polarization angle can be taken as the polarization direction of the microwave incidence, and the incident polarization vector can be constructed with horizontal and vertical as the base, that is, the incident polarization vector can be constructed as [cos(k); sin(k)], where k is the linear polarization angle.

[0088] It should be noted that the incident polarization vector in the present application describes the vector of the microwave vibration direction.

[0089] In a specific implementation, the polarized matching coefficient can be determined according to the incident polarization vector and the polarization direction of the microwave remote sensing, and the determination can be implemented in the following manner: the polarization direction of the microwave remote sensing is obtained, and a receiving polarization vector is constructed according to the polarization direction of the microwave remote sensing, wherein the polarization direction of the microwave remote sensing in this application is vertical polarization, that is, the receiving polarization vector is constructed as [0; 1], then, the difference between the incident polarization vector and the receiving polarization vector is measured, and the two are projected in the same direction to calculate the difference, that is, the dot product of the transpose of the receiving polarization vector and the incident polarization vector is calculated, and the square of the obtained value is taken as the polarized matching coefficient.

[0090] It should be noted that the polarized matching coefficient in this application is a parameter value for measuring the coincidence degree between the polarization direction of the microwave and the polarization direction of the receiver.

[0091] In a specific implementation, the polarization loss of the microwave remote sensing at the sampling point can be determined according to the polarized matching coefficient, and the determination can be implemented in the following manner: the matching coefficient is converted into power loss caused by angle mismatch, and the power loss is taken as the polarization loss, that is, the logarithm of the matching coefficient is taken, the obtained value is multiplied by 10, the opposite value is taken, and the obtained value is taken as the polarization loss of the microwave remote sensing at the sampling point.

[0092] It should be noted that the polarization loss in this application is a parameter value for measuring the signal attenuation degree caused by the mismatch of the polarization state.

[0093] In step 104, the soil temperature at the sampling point is collected by a temperature sensor, and the desertification repair effect of the soil at the sampling point is inverted according to the soil temperature and the polarization loss, so as to obtain the water retention index of the soil at the sampling point.

[0094] In a specific implementation, the soil temperature at the sampling point can be collected by a temperature sensor in the following manner: the temperature sensor is inserted into the soil at the sampling point, and the temperature value is collected by the temperature sensor, which is taken as the soil temperature at the sampling point.

[0095] In some embodiments, the desertification repair effect of the soil at the sampling point can be inverted according to the soil temperature and the polarization loss, so as to obtain the water retention index of the soil at the sampling point, which can be implemented in the following steps:

[0096] The electromagnetic coefficient of the soil at the sampling point is determined according to the soil temperature and the polarization loss.

[0097] The water content of the soil at the sampling point is determined according to the electromagnetic coefficient.

[0098] The historical water content of the soil at the sampling point is obtained.

[0099] According to the historical water content of the soil at the sampling point and the water content intensity, a water retention index of the soil at the sampling point is determined.

[0100] In a specific implementation, determining the electromagnetic coefficient of the soil at the sampling point according to the soil temperature and the polarization loss can be implemented in the following manner: first, an arbitrary sampling angle is selected as a selected sampling angle, and the microwave radiation data at the selected sampling angle is added to the polarization loss to remove errors caused by polarization; then, the added result is divided by the soil temperature, and the final quotient is taken as the electromagnetic coefficient of the soil at the sampling point.

[0101] It should be noted that the electromagnetic coefficient in the present application is a parameter value describing the microwave radiation characteristics of the soil under specific incident angle and polarization conditions.

[0102] In a specific implementation, determining the water content of the soil at the sampling point according to the electromagnetic coefficient can be implemented in the following manner: first, the sampling angle corresponding to the electromagnetic coefficient is obtained, the sampling angle and the electromagnetic coefficient are input into the Fresnel equation for solving, the electromagnetic coefficient is taken as the emissivity in the Fresnel equation, the real part of the complex number obtained by solving is taken as a parameter P and input into the Dobson model for inversion of the water content, and then the result output by the Dobson model is taken as the water content of the soil at the sampling point.

[0103] It should be noted that the historical water content in the present application can be directly obtained from the database of the environmental ecological restoration monitoring device.

[0104] In a specific implementation, determining the water retention index of the soil at the sampling point according to the historical water content of the soil at the sampling point and the water content intensity can be implemented in the following manner: the difference between the water content and the historical water content is taken as the water retention index of the soil at the sampling point.

[0105] It should be noted that the water retention index in the present application is a parameter value for measuring the water retention capacity of the soil.

[0106] In step 105, other sampling points are set in the desert restoration area, the water retention indexes of the soils at the other sampling points are continuously determined, and the desert restoration effect of the desert restoration area is monitored according to all the water retention indexes.

[0107] In a specific implementation, setting other sampling points in the desert restoration area can be implemented in the following manner: all restoration units divided in the desert restoration area during ecological restoration are obtained, and sampling points are set at the geometric centers of the restoration units.

[0108] In some embodiments, monitoring the desert restoration effect of the desert restoration area according to all the water retention indexes can be implemented in the following manner:

[0109] constructing a water-retaining force distribution map of the desert restoration area according to the water-retaining indexes of the soil at all the sampling points;

[0110] evaluating the restoration effect of the desert restoration area according to the water-retaining force distribution map.

[0111] In a specific implementation, the water-retaining force distribution map of the desert restoration area can be constructed according to the water-retaining indexes of the soil at all the sampling points by using the following method: the water-retaining indexes of the soil at all the sampling points are inversed by using the Kriging interpolation method in the prior art, and an image composed of the water-retaining indexes at all the positions inversed is taken as the water-retaining force distribution map of the desert restoration area.

[0112] In a specific implementation, the restoration effect of the desert restoration area can be evaluated according to the water-retaining force distribution map by using the following method: a water-retaining force threshold value can be preset, a region in the water-retaining force distribution map where the water-retaining index is greater than the water-retaining force threshold value is taken as a restoration standard region and marked as green, and the remaining region is taken as a restoration non-standard region and marked as red, and the marking result is visualized, where the water-retaining force threshold value can be preset according to actual needs, for example, the water-retaining force threshold value is preset as 1% in this application.

[0113] In some embodiments, as shown in Figure 3 The figure is a simulation example of the water-retaining force distribution map according to some embodiments of the present application, where the water-retaining indexes at all positions are represented by gray values, where the minimum gray value corresponds to a water content of -10%, the maximum gray value corresponds to a water content of 10%, the upper right corner is a direction mark for corresponding to the actual direction, and the scale “0–0.5–1” (km) in the lower right corner is a scale for estimating the distance between two points in the figure.

[0114] In addition, another aspect of the present application, in some embodiments, the present application provides an environmental ecological restoration monitoring device, which comprises a soil water-retaining force monitoring unit, referring to Figure 4 The figure is a structural schematic diagram of the soil water-retaining force monitoring unit according to some embodiments of the present application, which comprises a collection module 401, a processing module 402 and an execution module 403, which are described as follows:

[0115] The collection module 401 is mainly used for collecting microwave radiation data of the exposed ground surface at the sampling points from multiple sampling angles by microwave remote sensing after setting the sampling points in the desert restoration area.

[0116] The processing module 402 is mainly used for performing electromagnetic simulation on the microwave radiation data of each sampling angle according to the roughness and dielectric constant of the soil at the sampling point, to obtain the escape coefficient of the microwave entering the soil at each sampling angle.

[0117] It should be noted that the processing module 402 is also used for determining the linear polarization angle of the soil at the sampling point through the correlation between all escape coefficients and all sampling angles, and identifying the polarization loss of the microwave remote sensing at the sampling point based on the linear polarization angle.

[0118] It should be noted that the processing module 402 is also used for collecting the soil temperature at the sampling point through the temperature sensor, and inverting the desert restoration effect of the soil at the sampling point according to the soil temperature and the polarization loss, to obtain the water retention index of the soil at the sampling point.

[0119] The execution module 403 is mainly used for setting other sampling points in the desert restoration area, continuing to determine the water retention index of the soil at the other sampling points, and monitoring the desert restoration effect of the desert restoration area according to all water retention indexes.

[0120] In addition, the present application also provides a computer device, which comprises a memory and a processor, the memory stores codes, and the processor is configured to acquire the codes and execute the soil water retention force monitoring method described above.

[0121] In some embodiments, referring to Figure 5 , the figure is a structural schematic diagram of a computer device for implementing the soil water retention force monitoring method according to some embodiments of the present application. The soil water retention force monitoring method in the above embodiments can be implemented by the computer device shown in Figure 5 , which comprises at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0122] The processor 501 can be a general central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0123] The communication bus 502 can be used to transmit information between the above components.

[0124] The memory 503 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM), or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk or other magnetic storage device, or any other medium capable of storing instructions or data that can be accessed by a computer, but not limited to. The memory 503 can exist independently and be connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0125] The memory 503 is configured to store program codes for implementing the solutions of the present application, and the processor 501 is configured to control the execution of the program codes. The processor 501 is configured to execute the program codes stored in the memory 503. The program codes can include one or more software modules. The soil water retention force monitoring method in the above embodiments can be implemented by one or more software modules in the program codes of the processor 501 and the memory 503.

[0126] The communication interface 504 is configured to communicate with other devices or communication networks, such as an Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc., using any transceiver-like device.

[0127] In specific implementations, as an example, the computer device can include multiple processors, each of which can be a single-CPU processor or a multi-CPU processor. The processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0128] The computer device described above can be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device can be a desktop computer, a laptop computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0129] In addition, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the soil water retention force monitoring method described above.

[0130] In summary, in the environmental ecological restoration monitoring device and method disclosed by the embodiments of the present application, first, a sampling point is arranged in a desert restoration area, microwave radiation data of a bare surface at the sampling point is collected from multiple sampling angles through microwave remote sensing; the microwave radiation data of each sampling angle is subjected to electromagnetic simulation according to the roughness and dielectric constant of the soil at the sampling point, to obtain an escape coefficient when the microwave enters the soil at each sampling angle; the linear polarization angle of the soil at the sampling point is determined through the correlation between all the escape coefficients and all the sampling angles, and then the polarization loss of the microwave remote sensing at the sampling point is identified based on the linear polarization angle; the soil temperature at the sampling point is collected through a temperature sensor, and the desert restoration effect of the soil at the sampling point is inverted according to 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 are arranged in the desert restoration area, the water retention index of the soil at the other sampling points is continuously determined, and the desert restoration effect of the desert restoration area is monitored according to all the water retention indexes.

[0131] As can be seen, the present application first obtains the absorption characteristics of the soil to the microwave (i.e., the escape coefficient) at each angle through electromagnetic simulation of the multi-angle microwave radiation data, then identifies the angle at which the soil absorbs the microwave to the maximum extent (i.e., the linear polarization angle) through the correlation between all the escape coefficients and the angles, and then determines the loss (i.e., the polarization loss) of the microwave caused by the mismatch between the transmission and receiving angles through the linear polarization angle, and finally inverts the water retention force (i.e., the water retention index) of the soil at the sampling point through the polarization loss and the temperature value of the soil, so as to monitor the restoration effect of the desert restoration area. In summary, by using the scheme of the present application, the error caused by the microwave polarization in the process of detecting the water content by the microwave remote sensing can be reduced.

[0132] Although the preferred embodiments of the present application have been described, those skilled in the art can make further changes and modifications to the embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including all the changes and modifications falling within the scope of the present application.

[0133] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims, the application can be practiced otherwise than as specifically described herein.

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 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 was monitored based on all the water retention indices. Specifically, 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, 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 of microwaves entering the soil at the remaining sampling angle; 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. The desertification remediation effect of the soil at the sampling point is then inverted based on the soil temperature and the polarization loss to obtain the water retention index of the soil at the sampling point. Specifically, this includes: 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.

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, 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.

4. 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.

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

6. An environmental ecological restoration monitoring device, comprising a soil water retention monitoring unit, wherein the soil water retention monitoring is performed using the method described in any one of claims 1 to 5, 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.

7. 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 soil water retention monitoring method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the soil water retention capacity monitoring method as described in any one of claims 1 to 5.

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