Method and platform for monitoring and analyzing water and soil conservation in loess hilly-gully region

Abstract

The invention relates to a loess hilly-gully region water and soil conservation monitoring analysis method and platform, soil erosion basic data obtained by the method comprises modulus impact factor data and administrative division data, the modulus impact factor data comprises water erosion factor data and wind erosion factor data, and the administrative division data comprises administrative division vector boundaries; constructing a soil erosion modulus important influence factor identification model, wherein the soil erosion modulus important influence factor identification model comprises a water erosion calculation sub-model and a wind erosion calculation sub-model; and performing water erosion modulus calculation on the specified administrative division through the water erosion calculation sub-model, performing wind erosion modulus calculation on the specified administrative division through the wind erosion calculation sub-model, and calculating the soil erosion strength grade of the specified administrative division according to the water erosion modulus and the wind erosion modulus to obtain a soil erosion result of the specified administrative division. According to the method, precise strategy application and precise treatment are realized, the treatment benefit is improved, and the treatment cost is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of soil and water conservation monitoring and analysis, and specifically relates to a soil and water conservation monitoring and analysis method and platform in a loess hilly gully area. Background Art

[0002] "Technical Specifications for Comprehensive Control of Soil and Water Erosion in Loess Hilly and Gully Areas" uses a comprehensive soil and water erosion control technology system to solve the problems of ecological restoration and sustainable development in fragile areas of the Loess Plateau through technology integration, model optimization and promotion. It clarifies the basic provisions for comprehensive control of soil and water erosion in loess hilly and gully areas, and the layout, design, construction, management and other contents and requirements of soil and water conservation engineering measures, plant measures and soil and water conservation agricultural technical measures.

[0003] At present, the step-by-step calculations are directly carried out according to the relevant technical specifications. Data entry is cumbersome, the calculation results have large errors, and it is time-consuming and laborious. The lack of a unified collaborative method makes it difficult to collect, organize and compare soil and water loss data over the years, which greatly limits the smooth progress of multi-person collaboration and is not conducive to the comprehensive comparison and selection of multiple plans. Due to the lack of data support, it is difficult to implement precise policies and precise governance, the governance benefits are poor, and the governance costs are high. It is necessary to develop a soil and water conservation monitoring and analysis program for the loess hilly gully area. Summary of the invention

[0004] To this end, the present invention provides a soil and water conservation monitoring and analysis method and platform in the loess hilly gully area to solve the problems that traditional technologies are difficult to implement precise policies and precise governance due to lack of data support, poor governance efficiency and high governance cost.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a soil and water conservation monitoring and analysis method in loess hilly gully areas, comprising:

[0006] Acquire soil erosion basic data, wherein the soil erosion basic data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and wherein the administrative division data includes administrative division vector boundaries;

[0007] Constructing a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model;

[0008] The water erosion calculation sub-model is used to calculate the water erosion modulus of the designated administrative division, and the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation coverage, slope length, slope, engineering factor and crop rotation factor;

[0009] The wind erosion calculation submodel is used to calculate the wind erosion modulus of the designated administrative division, wherein the setting types of the wind erosion calculation submodel include cultivated land configuration, grassland configuration and sandy land configuration;

[0010] According to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel, the soil erosion intensity grade of the specified administrative division is calculated to obtain the soil erosion result of the specified administrative division.

[0011] As a preferred solution for soil and water conservation monitoring and analysis methods in loess hilly and gully areas, the types of soil erosion basic data include remote sensing image type, basic geography type, land use type, soil and water conservation engineering type, human disturbance type, field survey type and meteorological and hydrological type;

[0012] It also includes grouping and managing the soil erosion basic data in the form of uploaded factor files, and performing resampling, clipping, setting Nodata values, data preprocessing, using boundaries and reprojection operations on the uploaded factor data;

[0013] The method also includes performing at least one of data integrity verification, resolution verification, format conversion, raster processing and raster statistics on the modulus influencing factor data.

[0014] As a preferred solution for soil and water conservation monitoring and analysis methods in loess hilly gully areas, the formula for calculating the water erosion modulus for a specified administrative division through the water erosion calculation submodel is:

[0015] R*K*B*L*S*E*T*100

[0016] In the formula, R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; and 100 represents the default setting unit conversion amount.

[0017] As a preferred solution for soil and water conservation monitoring and analysis methods in loess hilly and gully areas, in the process of calculating the wind erosion modulus of a designated administrative division through the wind erosion calculation sub-model:

[0018] Set the half-moon factors involved in the calculation of cultivated land configuration, grassland configuration, and sandy land configuration;

[0019] The indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness and sand-raising wind speed;

[0020] The indicators of grassland configuration and sandy land configuration include land use type, vegetation coverage and vegetation coverage coefficient.

[0021] As a preferred solution for soil and water conservation monitoring and analysis methods in loess hilly and gully areas, in the process of calculating the wind erosion modulus of a designated administrative division through the wind erosion calculation sub-model:

[0022] Using the calculated soil wind erosion factor, the soil erosion modulus of different wind speed levels are calculated in turn every half month, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus of each half month. Then, the soil erosion modulus of all half months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

[0023] As a preferred solution of the soil and water conservation monitoring and analysis method in the loess hilly gully area, it also includes verifying the modulus influencing factor data:

[0024] The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value;

[0025] The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half month files.

[0026] As a preferred solution for the soil and water conservation monitoring and analysis method in the loess hilly gully area, it also includes adjusting the modulus influencing factor data, optimizing the coefficient, optimizing by non-changing area, optimizing by artificially disturbed plots, and optimizing by modulus;

[0027] It also includes, after obtaining the soil erosion results of the designated administrative division, performing spatial analysis processing on the soil erosion results, the spatial analysis processing including displaying soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and result layers of seven factors, and displaying the spatial distribution of raster data on a map; viewing the regional distribution of land use, vegetation cover and water conservation measures by overlaying in a perspective manner, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use;

[0028] It also includes the statistical report of soil erosion calculation results of the selected scheme, including erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest high cover, sloping farmland, sloping farmland erosion, vegetation cover, vegetation cover erosion, water conservation measures, and human disturbance land use report;

[0029] It also includes comparing several erosion calculation schemes for the same administrative division through report data and map distribution, and determining the erosion calculation model and the optimal scheme based on the actual situation of soil erosion and soil and water conservation monitoring in the administrative division.

[0030] The present invention also provides a soil and water conservation monitoring and analysis platform for loess hilly gully areas, comprising:

[0031] A soil erosion basic data processing module is used to obtain soil erosion basic data, wherein the soil erosion basic data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and the administrative division data includes administrative division vector boundaries;

[0032] An influencing factor identification model construction module is used to construct a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model;

[0033] A water erosion modulus calculation and analysis module, used to calculate the water erosion modulus for a specified administrative division through the water erosion calculation sub-model, wherein the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation cover, slope length, slope, engineering factor and crop rotation factor;

[0034] A wind erosion modulus calculation and analysis module, which calculates the wind erosion modulus of a designated administrative division through the wind erosion calculation sub-model, wherein the setting types of the wind erosion calculation sub-model include cultivated land configuration, grassland configuration and sandy land configuration;

[0035] The soil erosion result analysis module is used to calculate the soil erosion intensity level of the specified administrative division according to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel, so as to obtain the soil erosion result of the specified administrative division.

[0036] As a preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly gully area, in the soil erosion basic data processing module, the types of soil erosion basic data include remote sensing image type, basic geography type, land use type, soil and water conservation engineering type, human disturbance type, field survey type and meteorological and hydrological type;

[0037] In the soil erosion basic data processing module, the soil erosion basic data is grouped and managed in the form of uploaded factor files, and the uploaded factor data is resampled, cropped, Nodata value is set, data is preprocessed, boundaries are used, and reprojection operations are performed;

[0038] In the soil erosion basic data processing module, at least one of data integrity verification, resolution verification, format conversion, raster processing and raster statistics is performed on the modulus influencing factor data;

[0039] In the water erosion modulus calculation and analysis module, the formula for calculating the water erosion modulus of a specified administrative division through the water erosion calculation sub-model is:

[0040] R*K*B*L*S*E*T*100

[0041] Where R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; 100 represents the default setting unit conversion amount;

[0042] In the wind erosion modulus calculation and analysis module, the half-moon factors of the cultivated land configuration, grassland configuration and sandy land configuration involved in the calculation are set;

[0043] The indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness and sand-raising wind speed;

[0044] The indicators for both grassland configuration and sandy land configuration include land use type, vegetation cover, and vegetation cover coefficient;

[0045] In the wind erosion modulus calculation and analysis module, the soil erosion modulus of different wind speed levels every half month is calculated in sequence using the calculated soil wind erosion factor, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus every half month. Then, the soil erosion modulus of all half months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

[0046] As a preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly and gully area, it also includes an impact factor verification module for verifying the modulus impact factor data:

[0047] The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value;

[0048] The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half month files.

[0049] As a preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly and gully areas, it also includes an influencing factor adjustment and optimization module, which is used to adjust the factors, optimize the coefficients, optimize by non-changing areas, optimize by human-disturbance plots, and optimize by modulus for the modulus influencing factor data.

[0050] As a preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly and gully areas, it also includes a spatial analysis and processing module, which is used to perform spatial analysis and processing on the soil erosion results after obtaining the soil erosion results of the designated administrative division. The spatial analysis and processing includes displaying the result layers of soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and seven factors, and displaying the spatial distribution of raster data on the map; viewing the regional distribution of land use, vegetation cover and water conservation measures through perspective overlay, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use.

[0051] As the preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly gully area, it also includes a report statistics module, which is used to report and count the soil erosion calculation results of the selected solution. The report types include erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest high cover, sloping farmland, sloping farmland erosion, vegetation cover, vegetation cover erosion, water conservation measures, and human disturbance land use reports;

[0052] As the preferred solution for the soil and water conservation monitoring and analysis platform in the loess hilly gully area, it also includes an erosion scheme comparison and analysis module, which is used to compare several erosion calculation schemes for the same administrative division in the form of report data and map distribution, and to determine the erosion calculation model and the optimal solution based on the actual situation of soil and water loss and soil and water conservation monitoring in the administrative division.

[0053] The beneficial effects of the present invention are as follows: since the acquired soil erosion basic data include modulus influencing factor data and administrative division data, the modulus influencing factor data include water erosion factor data and wind erosion factor data, and the administrative division data include administrative division vector boundaries; at the same time, a soil erosion modulus important influencing factor identification model is constructed, and the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model; the water erosion modulus of the designated administrative division is calculated by the water erosion calculation sub-model, and the wind erosion modulus of the designated administrative division is calculated by the wind erosion calculation sub-model, and the soil erosion intensity grade of the designated administrative division is calculated according to the water erosion modulus calculated by the water erosion calculation sub-model and the wind erosion modulus calculated by the wind erosion calculation sub-model, and the soil erosion result of the designated administrative division is obtained. The present invention can greatly improve the calculation accuracy of the soil erosion modulus in the loess hilly gully area, provide more accurate data support for carrying out soil and water conservation monitoring and comprehensive management in the loess hilly gully area, realize accurate policy implementation and accurate management, improve management benefits, and reduce management costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the drawings required for the implementation methods or the prior art descriptions are briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0055] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0056] Figure 1 A flow chart of a method for monitoring and analyzing soil and water conservation in a loess hilly and gully region provided by an embodiment of the present invention;

[0057] Figure 2 A factor management interface diagram in the soil and water conservation monitoring and analysis method for loess hilly and gully regions provided by an embodiment of the present invention;

[0058] Figure 3 A diagram of the administrative division management interface in the soil and water conservation monitoring and analysis method for the loess hilly and gully region provided by an embodiment of the present invention;

[0059] Figure 4A diagram of a data integrity verification interface in a soil and water conservation monitoring and analysis method for a loess hilly gully region provided by an embodiment of the present invention;

[0060] Figure 5 A grid processing interface diagram in the soil and water conservation monitoring and analysis method for loess hilly and gully regions provided by an embodiment of the present invention;

[0061] Figure 6 A grid statistical interface diagram of the soil and water conservation monitoring and analysis method for the loess hilly gully region provided by an embodiment of the present invention;

[0062] Figure 7 The water erosion calculation sub-model interface in the soil and water conservation monitoring and analysis method for the loess hilly gully area provided by the embodiment of the present invention;

[0063] Figure 8 The wind erosion calculation sub-model interface in the soil and water conservation monitoring and analysis method for loess hilly gully areas provided by the embodiment of the present invention;

[0064] Fig. 9 The soil erosion intensity calculation sub-model interface in the soil and water conservation monitoring and analysis method for loess hilly gully areas provided by the embodiment of the present invention;

[0065] Fig.10 The factor adjustment interface in the soil and water conservation monitoring and analysis method for the loess hilly gully area provided by the embodiment of the present invention;

[0066] Fig.11 The coefficient optimization interface in the soil and water conservation monitoring and analysis method for the loess hilly gully area provided by the embodiment of the present invention;

[0067] Fig.12 The spatial analysis interface in the soil and water conservation monitoring and analysis method for the loess hilly gully region provided by the embodiment of the present invention;

[0068] Fig.13 The present invention provides a soil and water conservation monitoring and analysis platform architecture for the loess hilly and gully areas. DETAILED DESCRIPTION

[0069] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Example 1

[0071] See also Figure 1Embodiment 1 of the present invention provides a soil and water conservation monitoring and analysis method in a loess hilly gully area, comprising the following steps:

[0072] S1. Acquire basic soil erosion data, wherein the basic soil erosion data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and the administrative division data includes administrative division vector boundaries;

[0073] S2. Constructing a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model;

[0074] S3, calculating the water erosion modulus for the designated administrative division through the water erosion calculation sub-model, wherein the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation cover, slope length, slope, engineering factor and crop rotation factor;

[0075] S4, calculating the wind erosion modulus of the designated administrative division by using the wind erosion calculation sub-model, wherein the setting types of the wind erosion calculation sub-model include cultivated land configuration, grassland configuration and sandy land configuration;

[0076] S5. Calculate the soil erosion intensity grade of the designated administrative division according to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel to obtain the soil erosion result of the designated administrative division.

[0077] In this embodiment, in step S1, the types of the basic soil erosion data include remote sensing image type, basic geography type, land use type, soil and water conservation engineering type, human disturbance type, field survey type and meteorological and hydrological type; the basic soil erosion data are grouped and managed in the form of uploaded factor files, and the uploaded factor data are resampled, cropped, set Nodata value, preprocessed, use boundaries and reprojected.

[0078] See also Figure 2 Specifically, in the process of factor management, basic soil erosion data including remote sensing images, basic geography, land use, soil and water conservation engineering, human disturbance, field survey, meteorology and hydrology are managed and processed in groups in the form of uploaded factor files. The uploaded factor data are resampled, cropped, set nodata value, preprocessed, use boundaries and reprojected to provide a more accurate data source for factor calculation.

[0079] See also Figure 3Specifically, in the process of administrative division data management, the administrative division information, the area and the boundaries of the Ministry of Civil Affairs are updated and maintained, so that the latest administrative division vector boundaries can be used in soil and water loss calculations.

[0080] See also Figure 4 Specifically, it also includes data integrity verification and resolution verification of the modulus influencing factor data, quick verification and review of the integrity of the uploaded water erosion factor and wind erosion factor data, and marking them with different colors.

[0081] The data format conversion of the modulus impact factor supports the conversion between shp and raster data. When converting shp to raster, specific fields can be set and different resolutions can be selected.

[0082] See also Figure 5 Specifically, in the process of processing the modulus influencing factor data grid, the grid can be reprojected, reclassified, replaced, clipped, resampled and synchronized. Among them, reprojection supports the selection of different output coordinate systems; reclassification can select the closure type, determine the grid threshold and grid classification, etc.

[0083] See also Figure 6 Specifically, in the process of raster statistics of the modulus influencing factor data, the raster can be processed by regional statistics and transfer matrix calculation.

[0084] In this embodiment, in step S2, a high-precision soil erosion modulus important influencing factor identification model is established to calculate and analyze the soil and water loss situation in the loess hilly gully area. In the process of managing the soil erosion modulus important influencing factor identification model, model data can be added and maintained, the corresponding model calculation formula can be set, and the numerical range of different grades of soil erosion intensity can be adjusted according to actual needs. Different calculation models can be called during calculation to make the calculation results more realistic.

[0085] In this embodiment, in step S3, the formula for calculating the water erosion modulus of the specified administrative division by the water erosion calculation sub-model is:

[0086] R*K*B*L*S*E*T*100

[0087] In the formula, R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; and 100 represents the default setting unit conversion amount.

[0088] For details, see Figure 7, you can set or modify the model name, new formula, etc. of the water erosion model for soil and water loss calculation in Kangbashi District in 2022. Water erosion calculation is generally a multiplication of 7 factors, namely rainfall factor (R), soil erodibility (K), vegetation cover (B), slope length (L), slope (S), engineering factor (E) and rotation factor (T). The formula defaults to setting the unit conversion amount to 100, that is, the formula is set to: @R*@K*@B*@L*@S*@E*@T*100. Calculation is performed according to the calculation method of the selected model.

[0089] In this embodiment, in step S4, during the calculation of the wind erosion modulus for the designated administrative division through the wind erosion calculation sub-model: the half-moon factors participating in the calculation of the cultivated land configuration, grassland configuration, and sandy land configuration are set; the indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness, and sand-raising wind speed; the indicators of grassland configuration and sandy land configuration both include land use type, vegetation coverage, and vegetation coverage coefficient.

[0090] For details, see Figure 8 , the corresponding wind erosion calculation sub-model can be set up with file resolution, land use, modulus formula, etc. The land use setting can set the half-month factor (the default is 24 half-months, and half-month data is selected according to the land use situation) for the cultivated land configuration, grassland configuration, and sandy land configuration, land use type, vegetation coverage (V), and vegetation coverage coefficient. Among them, the cultivated land configuration can also set the ground roughness (Z0) and sand-raising wind speed (U). Multiply the vegetation coverage data of each grid by the vegetation coverage coefficient. If the value is less than the vegetation coverage, it needs to participate in the erosion calculation, otherwise it does not participate. The indicators involved in the calculation of the cultivated land wind erosion model include the surface soil moisture factor (W), surface roughness (Z0), and wind speed (U). The indicators involved in the calculation of the wind erosion model of grass (shrub) land and sandy land (desert) are the surface soil moisture factor (W), wind speed (U), and vegetation coverage (V), and then set the formulas respectively.

[0091] In this embodiment, in step S5, during the process of calculating the wind erosion modulus of the designated administrative division by the wind erosion calculation sub-model:

[0092] Using the calculated soil wind erosion factor, the soil erosion modulus of different wind speed levels are calculated in turn every half month, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus of each half month. Then, the soil erosion modulus of all half months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

[0093] For details, see Fig. 9, when setting the land use type, the factor dictionary can be referenced to simplify the formula setting in the form of providing dictionary codes. According to the water erosion modulus and wind erosion modulus obtained by water erosion calculation and wind erosion calculation, the erosion intensity calculation formula can be set. For example, the erosion intensity calculation formula for Kangbashi District in 2022 is (@SQQD>=20)? (@FSA):(@SSA), and the calculation method is to take wind erosion data when the erosion intensity of the previous period is greater than or equal to 20, and take water erosion data otherwise. At the same time, the numerical interval of water erosion and wind erosion intensity classification can be set, switching left closed or right closed, and the intensity levels are from slight, mild, moderate, strong, extremely strong to severe.

[0094] In a possible embodiment, the method further includes verifying the modulus influence factor data:

[0095] The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value;

[0096] The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half month files.

[0097] Specifically, after selecting a plan, the factor file loaded by the plan is verified. The contents of the water erosion factor verification include whether the file exists, resolution, coordinate system, file space range, Nodata value, and whether the 8bit Nodata value meets the requirements. The verified factor files mainly include 7 factors, land use, vegetation coverage, water conservation measures, slope, and previous period intensity. The aspects of wind erosion factor verification include whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, and whether the 8bit Nodata value meets the requirements, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speeds at all levels (levels 1-15) in the 24 and a half months of files. For those that fail the verification, the calculation factor file can be re-uploaded.

[0098] Among them, after the calculation factors under the scheme are verified, the calculation can be performed and the calculation process and steps, as well as the progress status of the calculation, can be viewed. The calculation process is water erosion calculation, wind erosion calculation and erosion calculation. Water erosion calculation goes through the steps of preliminary calculation and grid filling, wind erosion calculation goes through the steps of sand erosion of cultivated land, roughness introduction, and grid filling, and erosion calculation goes through the steps of artificial disturbance land filling (water erosion), artificial disturbance land erosion calculation (water erosion), artificial disturbance land filling (wind erosion), artificial disturbance land erosion calculation (wind erosion), intensity classification (water erosion modulus intensity classification, wind erosion modulus intensity classification), erosion calculation, erosion matrix using erosion intensity, erosion results release and other steps. After the calculation is completed, the layer can be published to view the erosion results distribution map.

[0099] In addition, you can select the erosion intensity results file of previous years and compare it with the erosion intensity of the current plan to calculate the intensity difference. Or you can generate an erosion map layer through the erosion intensity, land use, and water conservation measures results file of the current plan.

[0100] In a possible embodiment, the method further includes adjusting factors, optimizing coefficients, optimizing by non-changing areas, optimizing by artificially disturbed plots, and optimizing by modulus on the modulus influencing factor data.

[0101] For details, see Fig.10 and Fig.11 , factor adjustment can check whether the files of each calculation factor under the specified scheme exist, whether they are calculated, whether they are enabled, etc., and the calculation and adjustment of existing factors can be performed; by coefficient optimization, the land use, water erosion mode, water erosion coefficient and measures involved in the formula calculation can be set, and the water erosion correction system file can be imported; the non-changing area can not repeat the calculation for areas where the land use type has not changed for many years; the extreme value query can be performed by selecting the soil erosion intensity (strong, extremely strong or severe) value, and then searching for the grid of the corresponding soil erosion type through the plot for specific analysis; the plot matrix can query the plot type change through the current code and the previous code of the plot, and view it on the map through the statistical table. For places where the plot changes are large or unreasonable, data modification or on-site review is required. Among them, the average slope can be calculated for artificially disturbed land, and the soil erosion intensity can be determined based on this. It can also be assigned according to the previous intensity or the modulus assignment based on the field survey results. It supports directly setting the erosion type and measure proportion of the plot.

[0102] In a possible embodiment, it also includes that after the soil erosion results of the specified administrative division are obtained, the soil erosion results are spatially analyzed and processed, and the spatial analysis and processing includes displaying the result layers of soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and seven factors, and displaying the spatial distribution of raster data on the map; viewing the regional distribution of land use, vegetation cover and water conservation measures through perspective overlay, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use.

[0103] For details, see Fig.12 , after the erosion calculation is completed and the layer is published, the result layers of soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and seven factors are displayed by switching, and the spatial distribution of raster data is displayed on the map. It supports viewing the distribution of small areas of land use, vegetation cover and water conservation measures through perspective overlay, and viewing the distribution of vegetation cover and water conservation measures corresponding to the land use in the area. After circling a certain range, the erosion intensity, land use, vegetation coverage and water conservation measures data and proportion within the circled range can be analyzed according to the result data of the scheme, so as to facilitate the investigation and analysis of the soil and water conservation situation in the area of ​​concern.

[0104] In a possible embodiment, it also includes reporting statistics on the soil erosion calculation results of the selected scheme, and the report types include erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest high cover, sloping farmland, sloping farmland erosion, vegetation cover, vegetation cover erosion, water conservation measures, and human disturbance land use reports.

[0105] In a possible embodiment, multiple schemes for the same administrative division are compared in the form of report data and map distribution, and the erosion calculation model and the optimal scheme are determined in combination with the actual situation of soil erosion and soil and water conservation monitoring in the administrative division. For the optimal scheme, thematic maps of erosion intensity, land use, water conservation measures and vegetation coverage can be produced and exported based on the calculated and published result layers.

[0106] In a possible embodiment, it also includes the final result report generated by summarizing statistics and querying calculations, covering multiple detailed reports on land use, vegetation cover, soil erosion, water conservation measures, human-disturbed land, etc. The result report can also be generated after file verification by uploading report files, setting erosion adjustment methods and result intermediate files.

[0107] In summary, the embodiment of the present invention obtains basic soil erosion data, wherein the basic soil erosion data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and the administrative division data includes administrative division vector boundaries; constructs a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model; calculates the water erosion modulus of a specified administrative division through the water erosion calculation sub-model, wherein the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation coverage, slope length, slope, engineering factor and rotation factor; calculates the wind erosion modulus of a specified administrative division through the wind erosion calculation sub-model, wherein the setting types of the wind erosion calculation sub-model include cultivated land configuration, grassland configuration and sand configuration; calculates the soil erosion intensity grade of the specified administrative division according to the water erosion modulus calculated by the water erosion calculation sub-model and the wind erosion modulus calculated by the wind erosion calculation sub-model, and obtains the soil erosion result of the specified administrative division. The present invention can greatly improve the calculation accuracy of soil erosion modulus in loess hilly and gully areas, provide more accurate data support for soil and water conservation monitoring and comprehensive management in loess hilly and gully areas, realize precise policy implementation and precise management, improve management efficiency and reduce management costs.

[0108] Example 2

[0109] See also Fig.13 Embodiment 2 of the present invention provides a soil and water conservation monitoring and analysis platform for loess hilly and gully areas, comprising:

[0110] A soil erosion basic data processing module 100 is used to obtain soil erosion basic data, wherein the soil erosion basic data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and wherein the administrative division data includes administrative division vector boundaries;

[0111] The influencing factor identification model construction module 200 is used to construct a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model;

[0112] The water erosion modulus calculation and analysis module 300 is used to calculate the water erosion modulus of the designated administrative division through the water erosion calculation sub-model, and the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation cover, slope length, slope, engineering factor and rotation factor;

[0113] A wind erosion modulus calculation and analysis module 400 is used to calculate the wind erosion modulus of a designated administrative division through the wind erosion calculation submodel, wherein the setting types of the wind erosion calculation submodel include cultivated land configuration, grassland configuration and sandy land configuration;

[0114] The soil erosion result analysis module 500 is used to calculate the soil erosion intensity level of the specified administrative division according to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel, so as to obtain the soil erosion result of the specified administrative division.

[0115] In this embodiment, in the soil erosion basic data processing module 100, the types of soil erosion basic data include remote sensing image type, basic geography type, land use type, soil and water conservation engineering type, human disturbance type, field survey type and meteorological and hydrological type;

[0116] In the soil erosion basic data processing module 100, the soil erosion basic data is grouped and managed in the form of uploaded factor files, and the uploaded factor data is resampled, cropped, Nodata value is set, data is preprocessed, boundaries are used, and reprojection operations are performed;

[0117] In the soil erosion basic data processing module 100, at least one of data integrity verification, resolution verification, format conversion, raster processing and raster statistics is performed on the modulus influencing factor data;

[0118] In the water erosion modulus calculation and analysis module 300, the formula for calculating the water erosion modulus of a specified administrative division through the water erosion calculation sub-model is:

[0119] R*K*B*L*S*E*T*100

[0120] Where R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; 100 represents the default setting unit conversion amount;

[0121] In the wind erosion modulus calculation and analysis module 400, the half-moon factors of the cultivated land configuration, grassland configuration, and sandy land configuration involved in the calculation are set;

[0122] The indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness and sand-raising wind speed;

[0123] The indicators for both grassland configuration and sandy land configuration include land use type, vegetation cover, and vegetation cover coefficient;

[0124] In the wind erosion modulus calculation and analysis module 400, the soil erosion modulus of different wind speed levels every half month is calculated in sequence using the soil wind erosion factor obtained by calculation, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus every half month. Then, the soil erosion modulus of all half months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

[0125] In this embodiment, an impact factor verification module 600 is also included, which is used to verify the modulus impact factor data:

[0126] The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value;

[0127] The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half month files.

[0128] This embodiment also includes an impact factor adjustment and optimization module 700, which is used to adjust the modulus impact factor data, optimize the coefficients, optimize by non-changing areas, optimize by artificially disturbed plots, and optimize by modulus.

[0129] In this embodiment, it also includes a spatial analysis processing module 800, which is used to perform spatial analysis processing on the soil erosion results after obtaining the soil erosion results of the specified administrative division. The spatial analysis processing includes displaying the result layers of soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and seven factors, and displaying the spatial distribution of raster data on the map; viewing the regional distribution of land use, vegetation cover and water conservation measures through perspective overlay, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use.

[0130] In this embodiment, it also includes a report statistics module 900, which is used to perform report statistics on the soil erosion calculation results of the selected scheme, and the report types include erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest land high coverage, sloping farmland, sloping farmland erosion, vegetation coverage, vegetation coverage erosion, water conservation measures, and human disturbance land use reports;

[0131] In this embodiment, it also includes an erosion scheme comparison and analysis module 010, which is used to compare several erosion calculation schemes for the same administrative division in the form of report data and map distribution, and determine the erosion calculation model and the optimal scheme based on the actual situation of soil erosion and soil and water conservation monitoring in the administrative division.

[0132] It should be noted that the information interaction, execution process and other contents between the various units of the above-mentioned platform are based on the same concept as the method embodiment in Example 1 of the present application, and the technical effects they bring are the same as those of the method embodiment of the present application. For specific contents, please refer to the description in the method embodiment shown in the previous part of the present application, and will not be repeated here.

[0133] Example 3

[0134] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, in which the program code of the soil and water conservation monitoring and analysis method in the loess hilly and gully area is stored, and the program code includes instructions for executing the soil and water conservation monitoring and analysis method in the loess hilly and gully area of ​​embodiment 1 or any possible implementation thereof.

[0135] The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0136] Example 4

[0137] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;

[0138] The processor and the memory communicate with each other via a bus; the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the soil and water conservation monitoring and analysis method for loess hilly gully areas of Example 1 or any possible implementation thereof.

[0139] Specifically, the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor implemented by reading software codes stored in a memory. The memory can be integrated in the processor or can be located outside the processor and exist independently.

[0140] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital consumer customer line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center.

[0141] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0142] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A soil and water conservation monitoring and analysis method for loess hilly gully areas, characterized in that: include: Acquire soil erosion basic data, wherein the soil erosion basic data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and wherein the administrative division data includes administrative division vector boundaries; Constructing a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model; The water erosion calculation sub-model is used to calculate the water erosion modulus of the designated administrative division, and the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation coverage, slope length, slope, engineering factor and crop rotation factor; The wind erosion calculation submodel is used to calculate the wind erosion modulus of the designated administrative division, wherein the setting types of the wind erosion calculation submodel include cultivated land configuration, grassland configuration and sandy land configuration; According to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel, the soil erosion intensity grade of the specified administrative division is calculated to obtain the soil erosion result of the specified administrative division.

2. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 1 is characterized in that: The types of soil erosion basic data include remote sensing images, basic geography, land use, soil and water conservation engineering, human disturbance, field survey, and meteorology and hydrology; It also includes grouping and managing the soil erosion basic data in the form of uploaded factor files, and performing resampling, clipping, setting Nodata values, data preprocessing, using boundaries and reprojection operations on the uploaded factor data; The method also includes performing at least one of data integrity verification, resolution verification, format conversion, raster processing and raster statistics on the modulus influencing factor data.

3. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 1 is characterized in that: The formula for calculating the water erosion modulus of a specified administrative division using the water erosion calculation submodel is: R*K*B*L*S*E*T*100 In the formula, R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; and 100 represents the default setting unit conversion amount.

4. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 1 is characterized in that: In the process of calculating the wind erosion modulus of a specified administrative division through the wind erosion calculation sub-model: Set the half-moon factors involved in the calculation of cultivated land configuration, grassland configuration, and sandy land configuration; The indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness and sand-raising wind speed; The indicators of grassland configuration and sandy land configuration include land use type, vegetation coverage and vegetation coverage coefficient.

5. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 4 is characterized in that: In the process of calculating the wind erosion modulus of a specified administrative division through the wind erosion calculation sub-model: Using the calculated soil wind erosion factor, the soil erosion modulus of different wind speed levels every half month is calculated in turn, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus every half month; Then, the soil erosion modulus of all half-months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

6. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 1 is characterized in that: The method also includes verifying the modulus impact factor data: The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value; The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half month files.

7. The method for monitoring and analyzing soil and water conservation in loess hilly and gully areas according to claim 1 is characterized in that: It also includes adjusting the factors, optimizing the coefficients, optimizing by non-changing areas, optimizing by artificially disturbed plots, and optimizing by modulus for the modulus influencing factor data; It also includes, after obtaining the soil erosion results of the designated administrative division, performing spatial analysis processing on the soil erosion results, the spatial analysis processing including displaying soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and result layers of seven factors, and displaying the spatial distribution of raster data on a map; viewing the regional distribution of land use, vegetation cover and water conservation measures by overlaying in a perspective manner, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use; It also includes the statistical report of soil erosion calculation results of the selected scheme, including erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest high cover, sloping farmland, sloping farmland erosion, vegetation cover, vegetation cover erosion, water conservation measures, and human disturbance land use report; It also includes comparing several erosion calculation schemes for the same administrative division through report data and map distribution, and determining the erosion calculation model and the optimal scheme based on the actual situation of soil erosion and soil and water conservation monitoring in the administrative division.

8. A soil and water conservation monitoring and analysis platform for loess hilly gully areas, characterized in that: include: A soil erosion basic data processing module is used to obtain soil erosion basic data, wherein the soil erosion basic data includes modulus influencing factor data and administrative division data, wherein the modulus influencing factor data includes water erosion factor data and wind erosion factor data, and the administrative division data includes administrative division vector boundaries; An influencing factor identification model construction module is used to construct a soil erosion modulus important influencing factor identification model, wherein the soil erosion modulus important influencing factor identification model includes a water erosion calculation sub-model and a wind erosion calculation sub-model; A water erosion modulus calculation and analysis module, used to calculate the water erosion modulus for a specified administrative division through the water erosion calculation sub-model, wherein the indicators of the water erosion calculation sub-model include rainfall factor, soil erodibility, vegetation cover, slope length, slope, engineering factor and crop rotation factor; A wind erosion modulus calculation and analysis module, which calculates the wind erosion modulus of a designated administrative division through the wind erosion calculation sub-model, wherein the setting types of the wind erosion calculation sub-model include cultivated land configuration, grassland configuration and sandy land configuration; The soil erosion result analysis module is used to calculate the soil erosion intensity level of the specified administrative division according to the water erosion modulus calculated by the water erosion calculation submodel and the wind erosion modulus calculated by the wind erosion calculation submodel, so as to obtain the soil erosion result of the specified administrative division.

9. The soil and water conservation monitoring and analysis platform for loess hilly and gully areas according to claim 8 is characterized in that: In the soil erosion basic data processing module, the types of soil erosion basic data include remote sensing image type, basic geography type, land use type, soil and water conservation engineering type, human disturbance type, field survey type and meteorological and hydrological type; In the soil erosion basic data processing module, the soil erosion basic data is grouped and managed in the form of uploaded factor files, and the uploaded factor data is resampled, cropped, Nodata value is set, data is preprocessed, boundaries are used, and reprojection operations are performed; In the soil erosion basic data processing module, at least one of data integrity verification, resolution verification, format conversion, raster processing and raster statistics is performed on the modulus influencing factor data; In the water erosion modulus calculation and analysis module, the formula for calculating the water erosion modulus of a specified administrative division through the water erosion calculation sub-model is: R*K*B*L*S*E*T*100 Where R is the rainfall factor; K is the soil erodibility factor; B is the vegetation cover factor; L is the slope length factor; S is the slope factor; E is the engineering factor; T is the rotation factor; 100 represents the default setting unit conversion amount; In the wind erosion modulus calculation and analysis module, the half-moon factors of the cultivated land configuration, grassland configuration and sandy land configuration involved in the calculation are set; The indicators of cultivated land configuration include land use type, vegetation coverage, vegetation coverage coefficient, ground roughness and sand-raising wind speed; The indicators for both grassland configuration and sandy land configuration include land use type, vegetation cover, and vegetation cover coefficient; In the wind erosion modulus calculation and analysis module, the soil wind erosion factor obtained by calculation is used to sequentially calculate the soil erosion modulus of different wind speed levels every half month, and the soil erosion modulus of the specified wind speed level is accumulated to obtain the soil erosion modulus every half month; Then, the soil erosion modulus of all half-months during the wind erosion period is accumulated to obtain the soil wind erosion modulus during the wind erosion period.

10. The soil and water conservation monitoring and analysis platform for loess hilly and gully areas according to claim 8, characterized in that: It also includes an impact factor verification module, which is used to verify the modulus impact factor data: The factor file verification content of the water erosion factor data includes whether the file exists, resolution, coordinate system, file space range, Nodata value, and 8bit Nodata value; The factor file verification content of the wind erosion factor data includes whether the roughness factor file exists, resolution, coordinate system, file space range, Nodata value, 8bit Nodata value, and the corresponding conditions of vegetation coverage, surface soil humidity, and wind speed levels 1-15 in the 24 and a half months file; It also includes an impact factor adjustment and optimization module, which is used to adjust the modulus impact factor data, optimize the coefficient, optimize by non-changing area, optimize the artificially disturbed plot, and optimize by modulus; It also includes a spatial analysis processing module, which is used to perform spatial analysis processing on the soil erosion results after obtaining the soil erosion results of the designated administrative division, wherein the spatial analysis processing includes displaying the soil erosion, land use, vegetation cover, water conservation measures, slope, erosion difference, erosion spots and seven factors of the result layer, and displaying the spatial distribution of raster data on the map; viewing the regional distribution of land use, vegetation cover and water conservation measures by superimposing in a perspective manner, and viewing the distribution of vegetation cover and water conservation measures corresponding to the regional land use; It also includes a report statistics module, which is used to report and count the soil erosion calculation results of the selected scheme. The report types include erosion adjustment, land use adjustment, erosion matrix, land use matrix, land use erosion, change map erosion, calculation of forest high cover, sloping farmland, sloping farmland erosion, vegetation cover, vegetation cover erosion, water conservation measures, and human disturbance land use reports; It also includes an erosion scheme comparison and analysis module, which is used to compare several erosion calculation schemes for the same administrative division in the form of report data and map distribution, and to determine the erosion calculation model and the optimal scheme based on the actual situation of soil erosion and soil and water conservation monitoring in the administrative division.

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