Cultivated land ecological safety comprehensive evaluation method and system based on multi-source data

Abstract

The invention discloses a multi-source data-based cultivated land ecological safety comprehensive evaluation method and system. The method comprises the steps of obtaining a historical multi-source data set of a cultivated land to be evaluated in a historical time period; performing grid division on the cultivated land to be evaluated by adopting a grid calculator in ArcGIS software to obtain a plurality of grid regions; performing grid division on the historical multi-source data set based on the plurality of grid regions to obtain a multi-source sub-data set of each grid region; and calculating the multi-source sub-data set of each grid region by adopting an ecological safety comprehensive evaluation function quantity calculation formula set, a space classification method and a constructed ecological safety comprehensive evaluation index calculation formula to obtain an ecological safety comprehensive evaluation index corresponding to each grid region. Through multiple ecological safety comprehensive evaluation functions, ecological safety comprehensive evaluation is performed on the cultivated land, the cultivated land evaluation dimension can be expanded, the evaluation precision can be improved, and the problem that the current industry is lack of a cultivated land ecological safety comprehensive evaluation method is solved.

Description

Technical Field

[0001] This application relates to the field of farmland resource utilization and function evaluation technology, and relates to, but is not limited to, a comprehensive evaluation method and system for farmland ecological security based on multi-source data. Background Technology

[0002] As a fundamental resource upon which humanity depends for survival, the stability and proper functioning of arable land directly impacts food security, ecological balance, and sustainable social development. With the acceleration of global urbanization, the expansion of industrialization, and the intensive transformation of agricultural production methods, arable land resources face unprecedented pressure: on the one hand, the amount of arable land continues to shrink due to non-agricultural construction and desertification, leading to a continuous decline in per capita arable land area; on the other hand, long-term irrational farming practices and excessive application of chemical fertilizers and pesticides have resulted in increasingly prominent ecological damage phenomena such as soil degradation, reduced biodiversity, and weakened water and soil conservation capabilities, threatening not only the sustainability of agricultural production but also having a profound impact on regional ecological environment and climate change.

[0003] High-yield, stable-yield, and green production of arable land are the future requirements for the construction of high-standard farmland. However, current technologies lack a systematic understanding of the current state of arable land ecological security, making it difficult to support the construction of a three-pronged arable land protection system encompassing quantity, quality, and ecology. Against this backdrop, how to scientifically and comprehensively evaluate the ecological functions of arable land, clarify its current status, shortcomings, and influencing factors, and thus provide data support for subsequent arable land protection policies, optimization of agricultural production layout, and promotion of ecological restoration, is an urgent problem to be solved within the industry. Summary of the Invention

[0004] To address the aforementioned problems in the prior art, this application provides a method and system for comprehensive evaluation of farmland ecological security based on multi-source data. The aim is to conduct a comprehensive evaluation of farmland ecological security through multiple ecological security evaluation functions, thereby expanding the evaluation dimensions and improving the evaluation accuracy.

[0005] The technical solution of this application embodiment is implemented as follows: In a first aspect, embodiments of this application provide a method for comprehensive evaluation of farmland ecological security based on multi-source data, the method comprising: Obtain historical multi-source datasets of the cultivated land to be evaluated within a historical time period; wherein, the historical multi-source datasets are datasets used to evaluate the comprehensive ecological security function of the cultivated land to be evaluated; The raster calculator in ArcGIS software is used to divide the farmland to be evaluated into raster regions, resulting in multiple raster regions. Based on these multiple raster regions, the historical multi-source dataset is further divided into raster regions to obtain multi-source subsets for each raster region. Using the set of formulas for calculating the comprehensive evaluation function of ecological security, the multi-source subset of data for each grid region is calculated to obtain multiple comprehensive evaluation function quantities of ecological security for each grid region. A spatial classification method was used to determine the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area; Using the constructed formula for calculating the comprehensive ecological security evaluation index, the level scores of each ecological security comprehensive evaluation function quantity corresponding to each grid area are calculated to obtain the comprehensive ecological security evaluation index corresponding to each grid area.

[0006] In some embodiments, the formula for calculating the constructed comprehensive ecological security evaluation index is as follows: in, The comprehensive ecological security evaluation index for grid region i; This represents the total number of multiple ecological security comprehensive evaluation functional quantities corresponding to grid region i; The level score of the ecological security comprehensive evaluation function quantity j corresponding to grid region i; It is the sum of the level scores of multiple ecological security comprehensive evaluation functions corresponding to grid region i.

[0007] In some embodiments, the multi-source subset data set corresponding to each of the grid regions includes: total grain yield, number of crop types, vegetation cover of each crop type, number of ecosystem types, types of ecosystems, area of ​​each ecosystem type, rainfall, evapotranspiration, surface runoff, rainfall erodibility factor, soil erodibility factor, slope length factor, slope factor, vegetation cover factor, meteorological factor, soil crust factor, surface roughness factor, and area.

[0008] In some embodiments, the set of formulas for calculating the comprehensive ecological security evaluation functions includes at least: a formula for calculating grain yield, a formula for calculating water conservation ecological service functions, a formula for calculating soil conservation ecological service functions, and a formula for calculating windbreak and sand fixation ecological service functions; the multiple comprehensive ecological security evaluation functions corresponding to each grid area include: grain yield of various crops, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem.

[0009] In some embodiments, the formula for calculating grain yield is: in, For the first grid region i Grain yield of similar crops; For the first grid region i Vegetation cover of similar crops; Let be the total vegetation cover of the Mth type of crop in grid region i; Let be the total grain output of grid region i; The number of crop types in grid region i.

[0010] In some embodiments, the formula for calculating the water conservation ecosystem service function is: in, The ecosystem water conservation capacity of grid region i; represents the number of ecosystem types in raster region i; k represents the k-th type of ecosystem in raster region i. Let be the area corresponding to the k-th type of ecosystem in grid region i; Let i be the rainfall in grid region i; Let i be the surface runoff of grid region i; Let i be the evaporation rate of grid region i.

[0011] In some embodiments, the formula for calculating the soil conservation ecosystem service function is: in, The ecosystem soil retention capacity of grid region i; is the rainfall erosibility factor for grid region i; is the soil erodibility factor for grid region i; Let be the slope length factor of grid region i; Let i be the slope factor of the grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

[0012] In some embodiments, the formula for calculating the windbreak and sand-fixing ecological service function is: in, The amount of windbreak and sand fixation for the ecosystem in grid area i; For grid region i, the meteorological factors are: is the soil erodibility factor for grid region i; The soil crust factor for grid region i; Let be the surface roughness factor of grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

[0013] In some embodiments, the method of using spatial classification to determine the level score of each ecological security comprehensive evaluation function corresponding to each grid area includes: Using the spatial classification method, the functional levels of each ecological security comprehensive evaluation function corresponding to each grid area are divided into functional levels to obtain the functional levels of each ecological security comprehensive evaluation function corresponding to each grid area. By using the level score corresponding to the functional level, the functional level of each ecological security comprehensive evaluation functional quantity corresponding to each grid area is assigned a value, thereby obtaining the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area.

[0014] Secondly, embodiments of this application provide a comprehensive evaluation system for farmland ecological security based on multi-source data, the system comprising: The data acquisition module is used to acquire historical multi-source datasets of the cultivated land to be assessed within a historical time period; wherein, the historical multi-source datasets are datasets used to evaluate the comprehensive ecological security function of the cultivated land to be assessed; The data preprocessing module is used to use the raster calculator in ArcGIS software to divide the cultivated land to be evaluated into raster regions, obtain multiple raster regions, and divide the historical multi-source dataset into raster regions based on the multiple raster regions, to obtain multi-source subset datasets for each raster region. The function quantity calculation module is used to calculate the multi-source subset data of each grid area using the set of formulas for calculating the function quantity of the comprehensive evaluation of ecological security, so as to obtain multiple comprehensive evaluation functions of ecological security for each grid area. The functional level score confirmation module is used to determine the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area by adopting a spatial classification method. The ecological security comprehensive evaluation index calculation module is used to calculate the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area using the constructed ecological security comprehensive evaluation index calculation formula, so as to obtain the ecological security comprehensive evaluation index corresponding to each grid area.

[0015] The beneficial effects of the technical solutions provided in this application include at least the following: This application provides a method and system for comprehensive evaluation of farmland ecological security based on multi-source data. In the execution of this method, firstly, historical multi-source datasets of the farmland to be evaluated within a historical time period are obtained; wherein, the historical multi-source dataset is a dataset used to evaluate the comprehensive ecological security function of the farmland to be evaluated; and using the raster calculator in ArcGIS software, the farmland to be evaluated is rasterized to obtain multiple raster regions, and the historical multi-source dataset is rasterized based on these multiple raster regions to obtain multi-source subsets for each raster region; secondly, using a set of formulas for calculating comprehensive ecological security evaluation functions, the multi-source subsets of each raster region are calculated to obtain multiple comprehensive ecological security evaluation functions corresponding to each raster region; then, a spatial classification method is used to determine the level score of each comprehensive ecological security evaluation function corresponding to each raster region; finally, using a constructed formula for calculating the comprehensive ecological security evaluation index, the level scores of each comprehensive ecological security evaluation function corresponding to each raster region are calculated to obtain the comprehensive ecological security evaluation index corresponding to each raster region. Therefore, firstly, the raster calculator in ArcGIS software is used to rasterize the farmland to be assessed and its corresponding historical multi-source dataset, resulting in multiple raster regions and multi-source subsets for each raster region. Then, the multi-source subsets of each raster region are calculated sequentially using the ecological security comprehensive evaluation function quantity calculation formula set, spatial classification methods, and the constructed ecological security comprehensive evaluation index calculation formula, to obtain the ecological security comprehensive evaluation index corresponding to each raster region. In this way, by using multiple ecological security comprehensive evaluation functions to conduct a comprehensive ecological security evaluation of farmland, compared with existing technologies, it not only expands the evaluation dimensions and improves the evaluation accuracy of farmland, but also scientifically and comprehensively evaluates the ecological functions of farmland, clarifies its current status, shortcomings, and influencing factors, thereby providing more accurate data basis for subsequent farmland protection policies, optimization of agricultural production layout, and promotion of ecological restoration. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 A flowchart illustrating a comprehensive evaluation method for farmland ecological security based on multi-source data, provided in this application embodiment; Figure 2 A flowchart illustrating another comprehensive evaluation method for farmland ecological security based on multi-source data provided in this application embodiment; Figure 3This is a structural block diagram of a comprehensive evaluation system for farmland ecological security based on multi-source data, provided in an embodiment of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. The following embodiments are used to illustrate this application, but are not intended to limit the scope of this application. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0019] It should be noted that the terms "first, second, and third" used in the embodiments of this application are only used to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first, second, and third" can be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0020] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiments of this application pertain. It should also be understood that terms such as those defined in general dictionaries should be understood to have a meaning consistent with their meaning in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0021] Example 1 Please see Figure 1 , Figure 1 A flowchart illustrating a comprehensive evaluation method for farmland ecological security based on multi-source data, provided in this application embodiment, is shown below. The method includes: Step 101: Obtain historical multi-source datasets of the cultivated land to be evaluated within the historical time period.

[0022] The historical multi-source dataset is a dataset used to evaluate the comprehensive ecological security function of the cultivated land to be assessed.

[0023] In some embodiments, the historical multi-source dataset includes: total grain yield, number of crop types, vegetation cover of each crop type, number of ecosystem types, types of ecosystems, area of ​​each ecosystem type, rainfall, evapotranspiration, surface runoff, rainfall erodibility factor, soil erodibility factor, slope length factor, slope factor, vegetation cover factor, meteorological factor, soil crust factor, and surface roughness factor and area.

[0024] In practical applications, data can be obtained for a specific region from 2000 to 2020, including total grain output, number of crop types, vegetation cover of each crop type, number of ecosystem types, types of ecosystems, area corresponding to each type of ecosystem, rainfall, evapotranspiration, surface runoff, rainfall erodibility factor, soil erodibility factor, slope length factor, slope factor, vegetation cover factor, meteorological factor, soil crust factor, surface roughness factor, and area. It should be noted that total grain output refers to the total amount of all grain crops produced in a specific region within a certain period (usually a calendar year). Total grain output is a core indicator for measuring a region's grain production capacity. The number of crop types refers to the total number of crop types grown in a specific region. Total grain output, the number of crop types, and the area of ​​a specific region can be obtained through statistical data.

[0025] Correspondingly, the vegetation cover, number of ecosystem types, variety of ecosystems, and area corresponding to each type of ecosystem for each crop can be obtained through remote sensing technology. Crop vegetation cover refers to the percentage of the vertical projection area of ​​the above-ground parts of crop plants (including leaves and stems) onto the ground in a specific plot of land (such as farmland) to the total area of ​​that plot. Crop vegetation cover is a key parameter for assessing crop growth, predicting yield, guiding field management (such as irrigation and fertilization), and analyzing farmland ecological effects (such as soil and water conservation and evapotranspiration regulation). The number of ecosystem types refers to the total number of different ecosystem types contained in a specific region (such as a country, watershed, nature reserve, or farmland). It is one of the basic indicators reflecting regional ecosystem diversity; the higher the number, the richer the ecosystem types in the region. For example, if a region has four ecosystem types—forest, grassland, wetland, and farmland—then the number of ecosystem types is four. This indicator is commonly used in ecosystem diversity assessment and regional ecological planning.

[0026] In some embodiments, rainfall and evapotranspiration can be obtained through surveys and monitoring datasets. Rainfall refers to the accumulated depth of liquid or solid (after melting) precipitation that falls to the ground within a certain period of time, usually measured in millimeters (mm). Evapotranspiration is the main pathway for "surface water output to the atmosphere" in the water cycle, influenced by factors such as temperature, humidity, wind speed, solar radiation, and vegetation cover. For example, "the monthly evapotranspiration of a certain farmland is 80 mm" means that the total amount of water returned to the atmosphere through evaporation and transpiration in that month is 80 mm. It is an important indicator for measuring regional water consumption, ecological water demand, and climate dryness and wetness, and is applied in fields such as agricultural irrigation and water resource management. Rainfall is the amount of "water input from the atmosphere to the surface," while evapotranspiration is the amount of "water output from the surface to the atmosphere," both jointly affecting the regional water balance.

[0027] Surface runoff is a set of water conservation assessment parameters available from literature. Surface runoff refers to the total volume of water falling to the surface (including rainwater and snowmelt) within a certain time period, after deducting losses due to infiltration, evaporation, vegetation interception, and depression filling, flowing along the surface (slopes, rivers, etc.). Surface runoff is a core component of the "surface water movement" in the water cycle, influenced by factors such as precipitation intensity, topographic slope, soil permeability, and vegetation cover. It is not only a major source of replenishment for rivers and lakes, affecting water resource supply, but also closely related to floods, soil erosion, and ecosystem hydrological processes, making it a key indicator in hydrological monitoring and water resource management.

[0028] Furthermore, rainfall erodibility factors, soil erodibility factors, slope length factors, slope gradient factors, and vegetation cover factors are sets of soil conservation evaluation parameters that can be obtained from literature. Among them, rainfall erodibility factors reflect the potential erosive capacity of rainfall on soil in a specific area and are an indicator of the magnitude of rainfall "dynamics." Rainfall erodibility factors are mainly determined by rainfall intensity (especially storm intensity), rainfall amount, and rainfall kinetic energy. Heavy, short-duration storms have high kinetic energy, resulting in stronger impact and erosion on the soil, leading to higher rainfall erodibility factor values ​​and a greater potential risk of soil erosion. Soil erodibility factors reflect the soil's own resistance to erosion, i.e., the ease with which soil is separated and transported by water flow. Soil erodibility factors are determined by soil texture (e.g., the proportion of sand, silt, and clay), organic matter content, soil structure (aggregate stability), and permeability. For example, silty soils have higher values ​​(easy to erode), while soils with high clay or organic matter content have lower values ​​(stronger resistance to erosion). Soil erodibility factors characterize the soil's "inherent vulnerability." The slope length factor reflects the impact of slope length on soil erosion; it is the ratio of the actual slope length to the standard slope length. The longer the slope, the more water is collected by surface runoff, the faster the flow velocity, and the stronger the erosion capacity on the soil. The slope gradient factor reflects the impact of slope (the steepness of the slope) on soil erosion; it is the ratio of the actual slope gradient to the standard slope gradient. The steeper the slope, the faster the surface runoff velocity, and the stronger the shear force and transport capacity on the soil. The slope gradient factor is used to quantify the amplifying effect of "slope" on soil erosion in topography. The vegetation cover factor reflects the inhibitory effect of vegetation cover and related management measures (such as farming methods and straw mulch) on soil erosion. The vegetation cover factor is mainly related to vegetation cover, vegetation type (herbaceous, shrub, tree), vertical vegetation structure (such as litter layer), and human management measures. The vegetation cover factor embodies the "resistance" of ecological measures to land erosion.

[0029] In addition, meteorological factors, soil crust factors, surface roughness factors, soil erodibility factors, and vegetation cover factors are sets of evaluation parameters for windbreak and sand fixation that can be obtained from literature. Among them, meteorological factors refer to the comprehensive term for various meteorological elements that affect soil erosion and eco-hydrological processes, and are an important external driving force for erosion. Meteorological factors mainly include rainfall, rainfall intensity, wind speed, temperature, humidity, and sunshine, among which rainfall (especially heavy rain) and wind are the most critical erosion driving factors. Rainfall causes water erosion through raindrop impact and runoff erosion, while wind causes wind erosion by transporting loose soil through airflow. Soil crust factors are parameters that reflect the intensity of the influence of soil surface crust on the soil erosion process. Soil crust: refers to the dense surface layer (usually 1-5 mm thick) formed by raindrop impact, water erosion, or chemical processes (such as salinization) on the land surface. It is divided into physical crust (formed by mechanical compaction) and biological crust (formed by algae, mosses, etc.). The factor quantifies the "enhancing" or "inhibiting" effect of crust on land erosion; the factor value depends on the type and degree of crust development. Surface roughness factor describes the influence of surface undulation and fragmentation on the soil erosion process and is an indicator of the complexity of the micro-topography of the land surface. The surface roughness factor refers to the degree of surface undulation relative to an ideal smooth surface and is commonly quantified using standard deviation, roughness index, etc. (dimensionless). The higher the factor value, the rougher the surface, and the stronger the inhibitory effect on soil erosion. Soil erodibility factor and vegetation cover factor are described in the same way.

[0030] Step 102: Using the raster calculator in ArcGIS software, the cultivated land to be evaluated is divided into raster regions to obtain multiple raster areas. Based on the multiple raster regions, the historical multi-source dataset is divided into raster regions to obtain multi-source subsets of each raster region.

[0031] In some embodiments, the raster calculator in ArcGIS software is used to divide the cultivated land to be evaluated into raster (grid) areas of the same size, and the acquired historical multi-source datasets are projected one by one onto the corresponding raster areas according to the multiple raster areas, so as to obtain the multi-source subset datasets of each raster area.

[0032] In some embodiments, the raster calculator in ArcGIS software is used to divide the cultivated land to be assessed into raster regions. The specific number of multiple raster regions obtained can be determined according to actual needs, and this application does not impose any limitations on this.

[0033] In some embodiments, the specific values ​​of data within the multi-source subsets of different raster regions may be different.

[0034] It should be noted that using the raster calculator in ArcGIS software allows for the refinement of the area to be evaluated. The raster grid more accurately reflects different altitudes and varying farmland conditions within different raster areas. Thus, rasterizing the farmland to be evaluated and its corresponding historical multi-source datasets makes subsequent evaluations more detailed and accurate.

[0035] Step 103: Using the set of calculation formulas for the comprehensive evaluation function of ecological security, calculate the multi-source subset data of each grid region to obtain multiple comprehensive evaluation function quantities of ecological security corresponding to each grid region.

[0036] In some embodiments, the set of formulas for calculating the comprehensive ecological security assessment function quantity can include multiple calculation formulas for function quantities. By using these formulas to calculate the multi-source subset data of each grid region, multiple comprehensive ecological security assessment function quantities corresponding to each grid region can be obtained. That is, by using formula 1 to calculate the multi-source subset data of each grid region, the comprehensive ecological security assessment function quantity 1 corresponding to each grid region can be obtained; by using formula 2 to calculate the multi-source subset data of each grid region, the comprehensive ecological security assessment function quantity 2 corresponding to each grid region can be obtained, and so on.

[0037] In this embodiment, the comprehensive ecological security evaluation function includes multiple dimensions of functions. Calculating the function corresponding to each function can avoid evaluating arable land through a single function. Thus, multiple functions can scientifically and comprehensively reflect the ecological functions of arable land, and can also refine the current shortcomings of arable land. In this way, more specific protection policies can be formulated for arable land to address these shortcomings and optimize the ecological status of arable land.

[0038] Step 104: Using a spatial classification method, determine the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area.

[0039] In some embodiments, a spatial classification method is used to classify the ecological security comprehensive evaluation functions corresponding to each grid area into levels and assign level scores to obtain the level scores of each ecological security comprehensive evaluation function corresponding to each grid area.

[0040] It should be noted that this step, on the one hand, quantifies the comprehensive ecological security evaluation functions corresponding to each grid area in a more standardized way through grade scoring, achieving standardized quantification of functional value. By converting multiple functional quantities into grade scores on a unified scale, a unified benchmark is provided for the overall evaluation, avoiding evaluation confusion caused by differences in functional attributes. On the other hand, by classifying and assigning scores, it replaces the traditional evaluation method that relies on experience or qualitative descriptions, transforming the abstract concept of "functional superiority or inferiority" into concrete numerical values. This process clarifies the correspondence rules of "functional quantity → grade → score," making the evaluation standards traceable and verifiable, reducing the interference of subjective human judgment, and thus enhancing the credibility of the evaluation results.

[0041] Spatial classification is an analytical method that classifies geographic entities into categories or groups with similar characteristics based on their spatial attributes (such as location, distance, and adjacency), non-spatial attributes (such as type, intensity, and function), and spatial correlation patterns, using systematic rules. Its core principle is to overcome the limitations of single attributes and emphasize the decisive role of "spatial dimension" in classification. Thus, by pre-setting unified classification rules, spatial classification can integrate scattered multi-source data into standardized categories, reducing data redundancy and conflicts. Here, spatial classification is used to classify multiple scattered functional quantities into levels using pre-set unified classification rules, transforming multiple functional quantities into a unified-scale level classification. Based on the obtained levels, corresponding scores are assigned, making the evaluation criteria traceable and verifiable, reducing the interference of subjective human judgment, and thus enhancing the credibility of the evaluation results.

[0042] Step 105: Using the constructed ecological security comprehensive evaluation index calculation formula, the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area is calculated to obtain the ecological security comprehensive evaluation index corresponding to each grid area.

[0043] In some embodiments, the process of constructing the comprehensive ecological security evaluation index calculation formula is as follows: the grade scores of each comprehensive ecological security evaluation function are weighted and summed to obtain the comprehensive ecological security evaluation index calculation formula; wherein, the weight coefficient of each function is the ratio of the grade score of each function to the sum of the grade scores of each comprehensive ecological security evaluation function.

[0044] In some embodiments, the level scores of each ecological security comprehensive evaluation function quantity corresponding to each grid area are substituted into the constructed ecological security comprehensive evaluation index calculation formula for calculation, so as to obtain the ecological security comprehensive evaluation index corresponding to each grid area.

[0045] It should be noted that this step, through the constructed ecological security comprehensive evaluation index calculation formula, can comprehensively consider multiple ecological security comprehensive evaluation functions. This avoids assessing arable land through a single function, and multiple functional quantities can scientifically and comprehensively reflect the ecological functions of arable land. It can also refine the current shortcomings of arable land, thereby enabling the formulation of more specific protection policies for arable land to address these shortcomings and optimize the ecological status of arable land.

[0046] This embodiment provides a method for comprehensive evaluation of farmland ecological security based on multi-source data. In the execution of this method, firstly, historical multi-source datasets of the farmland to be evaluated within a historical time period are obtained; wherein, the historical multi-source dataset is a dataset used to evaluate the comprehensive ecological security function of the farmland to be evaluated; and using the raster calculator in ArcGIS software, the farmland to be evaluated is rasterized to obtain multiple raster regions, and the historical multi-source dataset is rasterized based on these multiple raster regions to obtain multi-source subsets for each raster region; secondly, using a set of formulas for calculating comprehensive ecological security evaluation functions, the multi-source subsets of each raster region are calculated to obtain multiple comprehensive ecological security evaluation functions corresponding to each raster region; then, a spatial classification method is used to determine the level score of each comprehensive ecological security evaluation function corresponding to each raster region; finally, using a constructed formula for calculating the comprehensive ecological security evaluation index, the level scores of each comprehensive ecological security evaluation function corresponding to each raster region are calculated to obtain the comprehensive ecological security evaluation index corresponding to each raster region. Therefore, firstly, the raster calculator in ArcGIS software is used to rasterize the farmland to be assessed and its corresponding historical multi-source dataset, resulting in multiple raster regions and multi-source subsets for each raster region. Then, the multi-source subsets of each raster region are calculated sequentially using the ecological security comprehensive evaluation function quantity calculation formula set, spatial classification method, and the constructed ecological security comprehensive evaluation index calculation formula, to obtain the ecological security comprehensive evaluation index corresponding to each raster region. In this way, by using multiple ecological security comprehensive evaluation functions to conduct a comprehensive ecological security evaluation of farmland, compared with existing technologies, this method not only expands the evaluation dimensions and improves the evaluation accuracy of farmland, but also scientifically and comprehensively evaluates the ecological functions of farmland, clarifying its current status, shortcomings, and influencing factors. This provides more accurate data basis for subsequent farmland protection policy formulation, optimization of agricultural production layout, and promotion of ecological restoration.

[0047] In some embodiments, the calculation formulas for the constructed comprehensive ecological security evaluation index are shown in formulas (1) and (2) below: in, The comprehensive ecological security evaluation index for grid region i; This represents the total number of multiple ecological security comprehensive evaluation functional quantities corresponding to grid region i; The level score of the ecological security comprehensive evaluation function quantity j corresponding to grid region i; It is the sum of the level scores of multiple ecological security comprehensive evaluation functions corresponding to grid region i.

[0048] In some embodiments, the multi-source subset of data for each grid region includes: total grain yield, number of crop types, vegetation cover for each crop type, number of ecosystem types, types of ecosystems, area corresponding to each ecosystem type, rainfall, evapotranspiration, surface runoff, rainfall erodibility factor, soil erodibility factor, slope length factor, slope factor, vegetation cover factor, meteorological factor, soil crust factor, surface roughness factor, and area.

[0049] It should be noted that by using data from individual grids for analysis, the area to be evaluated can be refined. Grids can more accurately reflect the different conditions of farmland at different altitudes and within different grid areas. Analyzing individual grids can further refine the current shortcomings in each grid area of ​​farmland, thereby enabling the formulation of more specific protection policies for each grid area of ​​farmland to address these shortcomings and optimize the overall ecological status of farmland.

[0050] In some embodiments, the set of formulas for calculating the comprehensive evaluation function of ecological security includes at least: formulas for calculating grain yield, formulas for calculating water conservation ecological service function, formulas for calculating soil conservation ecological service function, and formulas for calculating windbreak and sand fixation ecological service function.

[0051] The multiple ecological security comprehensive evaluation functions corresponding to each grid area include: grain yield of various crops, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem.

[0052] In some embodiments, multiple ecological security comprehensive evaluation functional quantities include: grain yield of various crops, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem. When conducting a comprehensive ecological security evaluation of cultivated land, a comprehensive evaluation is carried out from four dimensions: grain yield, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem.

[0053] It should be noted that when conducting a comprehensive ecological security assessment of arable land, the assessment is carried out from four dimensions: grain yield, ecosystem water conservation capacity, ecosystem soil conservation capacity, and ecosystem windbreak and sand fixation capacity. This avoids evaluating arable land based on a single function. By using these four functions to conduct a multi-dimensional assessment of arable land, the ecological functions of arable land can be scientifically and comprehensively reflected. It can also pinpoint the current shortcomings of arable land, thereby enabling the formulation of more specific protection policies to address these shortcomings and optimize the ecological status of arable land.

[0054] In some embodiments, the grain yield calculation formula is shown in formulas (3) and (4) below: in, For the first grid region i Grain yield of similar crops; For the first grid region i Vegetation cover of similar crops; Let M be the total vegetation cover of the Mth type of crop in grid region i; Let be the total grain output of grid region i; The number of crop types in grid region i.

[0055] In some embodiments, the calculation formula for the water conservation ecosystem service function is shown in the following formula (5): in, The ecosystem water conservation capacity of grid area i; represents the number of ecosystem types in raster region i; k represents the k-th type of ecosystem in raster region i. Let be the area corresponding to the k-th type of ecosystem in grid region i; Let i be the rainfall in grid region i; Let i be the surface runoff of grid region i; Let i be the evaporation rate of grid region i.

[0056] In some embodiments, the formula for calculating the soil conservation ecosystem service function is as shown in the following formula (6): Formula (6); in, The ecosystem soil retention capacity of grid region i; is the rainfall erosibility factor for grid region i; is the soil erodibility factor for grid region i; Let be the slope length factor of grid region i; Let be the slope factor of grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

[0057] In some embodiments, the calculation formula for the windbreak and sand fixation ecological service function is shown in the following formula (7): Formula (7); in, The amount of windbreak and sand fixation in the ecosystem of grid area i; For grid region i, the meteorological factors are: is the soil erodibility factor for grid region i; The soil crust factor for grid region i; Let be the surface roughness factor of grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

[0058] In some embodiments, step 104 above can be implemented by steps 1041 and 1042. Figure 1 (not shown in the image) Step 1041: Using the spatial classification method, the functional levels of each ecological security comprehensive evaluation function corresponding to each grid area are divided to obtain the functional level of each ecological security comprehensive evaluation function corresponding to each grid area.

[0059] Step 1042: Using the level score corresponding to the functional level, assign a value to the functional level of each ecological security comprehensive evaluation functional quantity corresponding to each grid area, and obtain the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area.

[0060] In some embodiments, the function levels are set as: high, higher, medium, lower, and low; a function level of high is scored as 5, a function level of higher is scored as 4, a function level of medium is scored as 3, a function level of lower is scored as 2, and a function level of low is scored as 1.

[0061] It should be noted that this step employs a spatial classification method. Multiple dispersed functional quantities are categorized into levels using pre-defined unified classification rules, transforming them into a unified-scale level classification. This yields the functional level of each ecological security comprehensive evaluation functional quantity corresponding to each grid area. Based on the pre-defined level scores corresponding to each functional level, a value is assigned to the functional level of each ecological security comprehensive evaluation functional quantity corresponding to each grid area, resulting in a level score for each grid area's multiple ecological security comprehensive evaluation functional quantities. In this way, level classification and score assignment replace traditional evaluation methods that rely on experience or qualitative descriptions, transforming the abstract concept of "functional superiority or inferiority" into concrete numerical values. This process clarifies the correspondence between "functional quantity → level → score," making the evaluation standards traceable and verifiable, reducing interference from subjective human judgment, and enhancing the credibility of the evaluation results.

[0062] Based on the above description, the comprehensive evaluation method for farmland ecological security based on multi-source data provided in this application can be applied to practical applications. The corresponding steps can be referred to [reference needed]. Figure 2 As shown, where: 201. Collect data, including historical statistics, remote sensing datasets, survey and monitoring datasets, water conservation evaluation parameter sets, soil conservation evaluation parameter sets, and windbreak and sand fixation evaluation parameter sets for the cultivated land to be evaluated.

[0063] For example, statistical data, remote sensing datasets, survey and monitoring datasets, water conservation evaluation parameter sets, soil conservation evaluation parameter sets, and windbreak and sand fixation evaluation parameter sets for the xx region from 2000 to 2020 can be obtained.

[0064] 202. The farmland to be evaluated and the collected data were all converted into spatial data with the same coordinate system using the raster calculator in ArcGIS, resulting in sub-statistical data, sub-remote sensing datasets, sub-survey and monitoring datasets, sub-water conservation evaluation parameter sets, sub-soil conservation evaluation parameter sets, and sub-windbreak and sand fixation evaluation parameter sets for each raster area.

[0065] Correspondingly, the raster calculator in ArcGIS software is used to divide the xx area into raster regions, resulting in multiple raster regions. Based on these multiple raster regions, the data collected in 201 is further divided into raster regions, resulting in sub-statistical data, sub-remote sensing datasets, sub-survey and monitoring datasets, sub-water conservation evaluation parameter sets, sub-soil conservation evaluation parameter sets, and sub-windbreak and sand fixation evaluation parameter sets mapped to each raster region.

[0066] 203. Calculate the grain yield, ecosystem water conservation, ecosystem soil conservation, and ecosystem windbreak and sand fixation of various crops in each grid area, and classify and evaluate the grain yield, ecosystem water conservation, ecosystem soil conservation, and ecosystem windbreak and sand fixation of various crops to obtain the grade score of grain yield, ecosystem water conservation, ecosystem soil conservation, and ecosystem windbreak and sand fixation of various crops in each grid area.

[0067] Here, the results obtained from 202 are first substituted into the formulas for calculating grain yield, water conservation ecological service function, soil conservation ecological service function, and windbreak and sand fixation ecological service function to calculate the grain yield, ecosystem water conservation, ecosystem soil conservation, and ecosystem windbreak and sand fixation of various crops in each grid area. Then, a spatial classification method is used to classify and evaluate the results obtained above (the grain yield of various crops, the water conservation capacity of the ecosystem, the soil conservation capacity of the ecosystem, and the windbreak and sand fixation capacity of the ecosystem in each grid area), and obtain the grade scores of the grain yield of various crops, the water conservation capacity of the ecosystem, the soil conservation capacity of the ecosystem, and the windbreak and sand fixation capacity of the ecosystem in each grid area.

[0068] The function levels that can be set include: high, higher, intermediate, lower and low. A function level of high scores 5 points, a function level of higher scores 4 points, a function level of intermediate scores 3 points, a function level of lower scores 2 points, and a function level of low scores 1 point.

[0069] 204. Construct a formula for calculating the comprehensive evaluation index of ecological security.

[0070] That is, the weighted summation of the grade scores of each ecological security comprehensive evaluation function quantity is used to obtain the calculation formula of the ecological security comprehensive evaluation index; wherein, the weight coefficient of each function quantity is the ratio of the grade score of each function quantity to the sum of the grade scores of all ecological security comprehensive evaluation function quantities.

[0071] 205. The grade scores of grain yield of various crops, water conservation of ecosystem, soil conservation of ecosystem, and windbreak and sand fixation of ecosystem in each grid area will be obtained. These scores will be substituted into the calculation formula for constructing the comprehensive ecological security evaluation index to obtain the comprehensive ecological security evaluation index corresponding to each grid area. Finally, the spatial evaluation results of the entire cultivated land to be evaluated will be obtained.

[0072] Here, for each grid area, we can also determine the comprehensive ecological security evaluation index corresponding to each grid area, and within which of the following ranges can we classify the comprehensive ecological security evaluation index corresponding to each grid area into levels, so as to obtain the level of the comprehensive ecological security evaluation index corresponding to each grid area.

[0073] Specifically, when the comprehensive ecological security evaluation index of a grid area is between 4 and 5, the comprehensive ecological security evaluation level of the grid area is assessed as high, indicating high ecosystem service function and no ecological risk; when the comprehensive ecological security evaluation index of a grid area is between 3 and 4, the comprehensive ecological security evaluation level of the grid area is assessed as relatively high, indicating relatively high ecosystem service function and low risk; when the comprehensive ecological security evaluation index of a grid area is between 2 and 3, the comprehensive ecological security evaluation level of the grid area is assessed as medium, indicating a certain degree of ecosystem service function; when the comprehensive ecological security evaluation index of a grid area is between 1 and 2, the comprehensive ecological security evaluation level of the grid area is assessed as low, indicating low ecosystem service function and high risk; when the comprehensive ecological security evaluation index of a grid area is between 0 and 1, the comprehensive ecological security evaluation level of the grid area is assessed as low, indicating no important ecosystem service function and high risk.

[0074] Following the above description, this application provides a comprehensive evaluation method for farmland ecological security based on multi-source data. This method aims to improve the systematic understanding of the grain yield of various crops, the water conservation capacity of the ecosystem, the soil conservation capacity of the ecosystem, and the windbreak and sand fixation capacity of the ecosystem, thereby addressing the current lack of a comprehensive evaluation method for farmland ecological security. Specifically, this application can comprehensively assess the various functions of farmland. Compared with existing technologies, this application places greater emphasis on the roles of various functions such as grain yield of various crops, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem, highlighting the comprehensive evaluation results. This is conducive to improving the ecological function of high-standard farmland and constructing a three-in-one protection system.

[0075] In other words, this application provides a comprehensive evaluation method for farmland ecological security based on multi-source data. It comprehensively assesses key farmland ecosystems from two important functions: production (grain yield of various crops) and ecology (ecological water conservation, ecological soil retention, and ecological windbreak and sand fixation). Technically, this method addresses the current shortcomings of comprehensive evaluation methods that focus primarily on production functions. The evaluation system is more comprehensive and complete, better reflecting the ecological security status of farmland. This ecological security evaluation method emphasizes the main functions of farmland and is more practical in coordinating agricultural production and the ecological environment.

[0076] Example 2 Based on the foregoing embodiments, this application further provides a comprehensive evaluation system for farmland ecological security based on multi-source data. The system includes various modules and units included in each module, which can be implemented by a processor in an electronic device; of course, it can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field-programmable gate array (FPGA), etc.

[0077] Please see Figure 3 , Figure 3 This application provides a structural block diagram of a comprehensive evaluation system for farmland ecological security based on multi-source data. The comprehensive evaluation system 300 for farmland ecological security based on multi-source data includes: The data acquisition module 301 is used to acquire historical multi-source datasets of the cultivated land to be evaluated within a historical time period; wherein, the historical multi-source datasets are datasets used to evaluate the comprehensive ecological security function of the cultivated land to be evaluated.

[0078] The data preprocessing module 302 is used to use the raster calculator in ArcGIS software to rasterize the cultivated land to be evaluated to obtain multiple raster regions, and to rasterize the historical multi-source dataset based on the multiple raster regions to obtain a multi-source subset dataset for each raster region.

[0079] The function quantity calculation module 303 is used to calculate the multi-source subset of each grid area using the set of formulas for calculating the function quantity of the comprehensive ecological security evaluation, so as to obtain multiple comprehensive ecological security evaluation function quantities corresponding to each grid area.

[0080] The functional level score confirmation module 304 is used to determine the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area by adopting a spatial classification method.

[0081] The ecological security comprehensive evaluation index calculation module 305 is used to calculate the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area using the constructed ecological security comprehensive evaluation index calculation formula, so as to obtain the ecological security comprehensive evaluation index corresponding to each grid area.

[0082] It should be noted that the description of the above system embodiments is similar to the description of the above method embodiments, and has similar beneficial effects. For technical details not disclosed in the system embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0083] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above-described embodiments are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0084] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0086] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0087] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0088] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to related technologies, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause the device automatic test line to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0089] The methods disclosed in the several method embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0090] The features disclosed in the several method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method or device embodiments.

[0091] The above description is merely an embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A comprehensive evaluation method for farmland ecological security based on multi-source data, characterized in that, The method includes: Obtain historical multi-source datasets of the cultivated land to be evaluated within a historical time period; wherein, the historical multi-source datasets are datasets used to evaluate the comprehensive ecological security function of the cultivated land to be evaluated; The raster calculator in ArcGIS software is used to divide the farmland to be evaluated into raster regions, resulting in multiple raster regions. Based on these multiple raster regions, the historical multi-source dataset is further divided into raster regions to obtain multi-source subsets for each raster region. Using the set of formulas for calculating the comprehensive evaluation function of ecological security, the multi-source subset of data for each grid region is calculated to obtain multiple comprehensive evaluation function quantities of ecological security for each grid region. A spatial classification method was used to determine the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area; Using the constructed formula for calculating the comprehensive ecological security evaluation index, the level scores of each ecological security comprehensive evaluation function quantity corresponding to each grid area are calculated to obtain the comprehensive ecological security evaluation index corresponding to each grid area.

2. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 1, characterized in that, The formula for calculating the constructed comprehensive ecological security evaluation index is as follows: in, The comprehensive ecological security evaluation index for grid region i; This represents the total number of multiple ecological security comprehensive evaluation functional quantities corresponding to grid region i; The level score of the ecological security comprehensive evaluation function quantity j corresponding to grid region i; It is the sum of the level scores of multiple ecological security comprehensive evaluation functions corresponding to grid region i.

3. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 1, characterized in that, Each of the raster regions includes the following multi-source subsets: total grain yield, number of crop types, vegetation cover of each crop type, number of ecosystem types, types of ecosystems, area of ​​each ecosystem type, rainfall, evapotranspiration, surface runoff, rainfall erodibility factor, soil erodibility factor, slope length factor, slope factor, vegetation cover factor, meteorological factor, soil crust factor, surface roughness factor, and area.

4. The method for comprehensive evaluation of farmland ecological security based on multi-source data according to claim 3, wherein the set of formulas for calculating the comprehensive evaluation function of ecological security includes at least: Formulas for calculating grain yield, water conservation ecological service function, soil conservation ecological service function, and windbreak and sand fixation ecological service function; The multiple ecological security comprehensive evaluation functions corresponding to each grid area include: grain yield of various crops, water conservation capacity of the ecosystem, soil conservation capacity of the ecosystem, and windbreak and sand fixation capacity of the ecosystem.

5. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 4, characterized in that, The formula for calculating grain yield is as follows: in, For the first grid region i Grain yield of similar crops; For the first grid region i Vegetation cover of similar crops; Let be the total vegetation cover of the Mth type of crop in grid region i; Let be the total grain output of grid region i; The number of crop types in grid region i.

6. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 4, characterized in that, The formula for calculating the water conservation ecological service function is as follows: in, The ecosystem water conservation capacity of grid region i; represents the number of ecosystem types in raster region i; k represents the k-th type of ecosystem in raster region i. Let be the area corresponding to the k-th type of ecosystem in grid region i; Let i be the rainfall in grid region i; Let i be the surface runoff of grid region i; Let i be the evaporation rate of grid region i.

7. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 4, characterized in that, The formula for calculating the soil conservation ecosystem service function is as follows: in, The ecosystem soil retention capacity of grid region i; is the rainfall erosibility factor for grid region i; is the soil erodibility factor for grid region i; Let be the slope length factor of grid region i; Let i be the slope factor of the grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

8. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 4, characterized in that, The formula for calculating the windbreak and sand-fixation ecological service function is as follows: in, The amount of windbreak and sand fixation for the ecosystem in grid area i; For grid region i, the meteorological factors are: is the soil erodibility factor for grid region i; The soil crust factor for grid region i; Let be the surface roughness factor of grid region i; Let i be the vegetation cover factor of grid region i; Let i be the area of ​​the grid region i.

9. The comprehensive evaluation method for farmland ecological security based on multi-source data according to claim 1, characterized in that, The spatial classification method is used to determine the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area, including: Using the spatial classification method, the functional levels of each ecological security comprehensive evaluation function corresponding to each grid area are divided into functional levels to obtain the functional levels of each ecological security comprehensive evaluation function corresponding to each grid area. By using the level score corresponding to the functional level, the functional level of each ecological security comprehensive evaluation functional quantity corresponding to each grid area is assigned a value, thereby obtaining the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area.

10. A comprehensive evaluation system for farmland ecological security based on multi-source data, characterized in that, The system includes: The data acquisition module is used to acquire historical multi-source datasets of the cultivated land to be assessed within a historical time period; wherein, the historical multi-source datasets are datasets used to evaluate the comprehensive ecological security function of the cultivated land to be assessed; The data preprocessing module is used to use the raster calculator in ArcGIS software to divide the cultivated land to be evaluated into raster regions, obtain multiple raster regions, and divide the historical multi-source dataset into raster regions based on the multiple raster regions, to obtain multi-source subset datasets for each raster region. The function quantity calculation module is used to calculate the multi-source subset data of each grid area using the set of formulas for calculating the function quantity of the comprehensive evaluation of ecological security, so as to obtain multiple comprehensive evaluation functions of ecological security for each grid area. The functional level score confirmation module is used to determine the level score of each ecological security comprehensive evaluation functional quantity corresponding to each grid area by adopting a spatial classification method. The ecological security comprehensive evaluation index calculation module is used to calculate the level score of each ecological security comprehensive evaluation function quantity corresponding to each grid area using the constructed ecological security comprehensive evaluation index calculation formula, so as to obtain the ecological security comprehensive evaluation index corresponding to each grid area.

Images