Method and system for analyzing black soil degradation satellite remote sensing intelligent monitoring data

Abstract

The invention is suitable for the technical field of land monitoring, and provides a black soil degradation satellite remote sensing intelligent monitoring data analysis method and system. Acquiring a measurement target, acquiring a corresponding relation between the measurement target and the satellite data, and determining an actual value of the measurement target according to the corresponding relation; the threshold value is the minimum limit of qualification of the measurement target, whether the measurement target goes wrong is determined according to the threshold value, if the measurement target is judged to be normal, the weight of the measurement target is acquired, and a degradation evaluation index is calculated according to the weight; the method comprises the steps of obtaining a degradation evaluation index, obtaining an evaluation threshold value of the degradation evaluation index, obtaining recovery measures, determining the used recovery measures according to grading, and sending the recovery measures to a terminal, and solves the problem that in an existing black soil degradation monitoring process, the degradation degree cannot be judged according to measurement data of a satellite; and meanwhile, the land degradation degree of the current black land cannot be comprehensively considered.

Description

Technical Field

[0001] The present invention belongs to the technical field of land monitoring, and particularly relates to an analysis method and system for satellite remote sensing intelligent monitoring data of black soil degradation. Background Technique

[0002] Soil degradation is a major environmental problem faced globally. Especially in agricultural production, soil degradation not only affects the growth and yield of crops, but also leads to the deterioration of the ecosystem and the loss of biodiversity. The main manifestations of soil degradation include soil erosion, salinization, decline in soil organic matter, and changes in land surface cover, etc. These degradation phenomena not only directly affect agricultural production, but also exacerbate environmental problems such as soil erosion and desertification, posing severe challenges to ecological restoration and sustainable agricultural development.

[0003] Traditional soil degradation monitoring methods mainly rely on ground surveys and manual sampling. This method is not only time-consuming and laborious, but also unable to cover large areas, and the timeliness and accuracy of data are poor. With the rapid development of remote sensing technology, satellite imagery, and unmanned aerial vehicle technology, soil degradation monitoring has gradually shifted towards spatial information acquisition and remote remote sensing monitoring. Through satellite remote sensing technology, large-scale soil degradation information can be obtained in real time and accurately, providing strong data support for the timely assessment and restoration of soil degradation.

[0004] However, in the existing process of black soil degradation monitoring, there are problems that the degree of degradation cannot be judged based on satellite measurement data, and at the same time, the degree of land degradation of the current black soil cannot be comprehensively considered. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide an analysis method for satellite remote sensing intelligent monitoring data of black soil degradation, aiming to solve the problems proposed in the third part of the background technique.

[0006] The embodiments of the present invention are implemented as follows. An analysis method for satellite remote sensing intelligent monitoring data of black soil degradation, the method includes: Obtain satellite data, the satellite data includes spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data, and meteorological data. Obtain measurement targets, the measurement targets include soil erosion, soil salinization, decline in soil organic matter, and changes in land surface cover. Obtain the corresponding relationship between the measurement targets and the satellite data, and determine the actual values of the measurement targets according to the corresponding relationship. Obtain the measurement target threshold, the threshold is the minimum limit for the qualification of the measurement target. Determine whether there is a problem with the measurement target according to the threshold. If it is determined to be normal, obtain the measurement target weight, and calculate the degradation assessment index according to the weight. Obtain a degradation evaluation index, obtain an evaluation threshold for the degradation evaluation index, where the evaluation threshold is used to grade the severity of soil degradation, obtain restoration measures, determine corresponding restoration measures according to the grading, and send the restoration measures to the terminal.

[0007] Preferably, the steps of obtaining the measurement target, where the measurement target includes soil erosion, soil salinization, decline in soil organic matter, and change in land surface cover, obtaining the correspondence between the measurement target and satellite data, and determining the actual value of the measurement target according to the correspondence specifically include: Obtain the measurement target, where the measurement target includes soil erosion, soil salinization, decline in soil organic matter, and change in land surface cover; Obtain the correspondence between the measurement target and satellite data, where satellite data has different effects on different parameters in the measurement target; Determine the actual value of the measurement target according to the correspondence and record the actual value.

[0008] Preferably, the steps of obtaining the threshold of the measurement target, where the threshold is the minimum limit for the qualification of the measurement target, determining whether there is a problem with the measurement target according to the threshold, and if it is determined to be normal, obtaining the weight of the measurement target and calculating the degradation evaluation index according to the weight specifically include: Obtain the threshold of the measurement target, where the threshold is the minimum limit for the qualification of the measurement target, and determine whether there is a problem with the measurement target according to the threshold; If it is determined to be normal, obtain the weight of the measurement target, where the target weight is the importance of each type in the measurement target, and calculate the degradation evaluation index according to the weight; If it is determined to be abnormal, obtain the measurement target corresponding to the abnormal information, and send the abnormal information to the terminal.

[0009] Preferably, the steps of obtaining the degradation evaluation index, obtaining an evaluation threshold for the degradation evaluation index, where the evaluation threshold is used to grade the severity of soil degradation, obtaining restoration measures, determining corresponding restoration measures according to the grading, and sending the restoration measures to the terminal specifically include: Obtain the degradation evaluation index, obtain an evaluation threshold for the degradation evaluation index, where the evaluation threshold is used to grade the severity of soil degradation; Compare the evaluation threshold with the degradation evaluation index to determine the specific grade and obtain the restoration measures; Determine the corresponding restoration measures according to the grading and send the restoration measures to the terminal.

[0010] Preferably, the degradation evaluation index = W1×index of target 1 + W2×index of target 2 +... + Wn×index of target n.

[0011] Another object of the embodiments of the present invention is to provide an analysis system for satellite remote sensing intelligent monitoring data of black soil degradation, and the system includes: A satellite module that acquires satellite data, where the satellite data includes spectral reflectance data, vegetation indices, soil characteristic indices, ground cover types, soil moisture data, and meteorological data. A measurement target module that acquires measurement targets, where the measurement targets include soil erosion, soil salinization, decline in soil organic matter, and changes in land surface cover, acquires the corresponding relationship between the measurement targets and the satellite data, and determines the actual values of the measurement targets according to the corresponding relationship. A degradation assessment index module that acquires the threshold of the measurement target, where the threshold is the minimum limit for the qualification of the measurement target, determines whether there is a problem with the measurement target according to the threshold, and if it is determined to be normal, acquires the weight of the measurement target and calculates the degradation assessment index according to the weight. A grading module that acquires the degradation assessment index, acquires the assessment threshold of the degradation assessment index, where the assessment threshold is used to grade the severity of soil degradation, acquires the restoration measures, determines the corresponding restoration measures according to the grading, and sends the restoration measures to the terminal.

[0012] Preferably, the measurement target module includes: A measurement target unit that acquires measurement targets, where the measurement targets include soil erosion, soil salinization, decline in soil organic matter, and changes in land surface cover. A corresponding relationship unit that acquires the corresponding relationship between the measurement targets and the satellite data, and the satellite data has different effects on different parameters in the measurement targets. An actual value unit that determines the actual values of the measurement targets according to the corresponding relationship and records the actual values.

[0013] Preferably, the degradation assessment index module includes: A target threshold unit that acquires the threshold of the measurement target, where the threshold is the minimum limit for the qualification of the measurement target, and determines whether there is a problem with the measurement target according to the threshold. A degradation assessment index unit that, if it is determined to be normal, acquires the weight of the measurement target, where the target weight is the importance of each type in the measurement target, and calculates the degradation assessment index according to the weight. An abnormal unit that, if it is determined to be abnormal, acquires the abnormal information corresponding to the measurement target and sends the abnormal information to the terminal.

[0014] Preferably, the grading module includes: An evaluation unit that acquires the degradation assessment index, acquires the assessment threshold of the degradation assessment index, where the assessment threshold is used to grade the severity of soil degradation. A grading unit that compares the assessment threshold with the degradation assessment index, determines the specific grade, and acquires the restoration measures. A recovery measure unit determines corresponding recovery measures according to classification and sends the recovery measures to the terminal.

[0015] Preferably, the degradation evaluation index = W1 × target 1 index + W2 × target 2 index +... + Wn × target n index.

[0016] An analysis method for black soil degradation satellite remote sensing intelligent monitoring data provided by an embodiment of the present invention obtains satellite data, which includes spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data and meteorological data, obtains measurement targets, which include soil erosion, soil salinization, decline of soil organic matter and change of land surface cover, obtains the corresponding relationship between the measurement targets and the satellite data, and the satellite data has different influences on different parameters in the measurement targets. Determine the actual values of the measurement targets according to the corresponding relationship, record the actual values, obtain the measurement target thresholds, determine whether there are problems with the measurement targets according to the thresholds, if it is determined to be normal, obtain the target weights, where the target weights are the importance degrees of various types in the measurement targets, calculate the degradation evaluation index according to the weights, obtain the degradation evaluation index, obtain the evaluation threshold of the degradation evaluation index, and the evaluation threshold is used to classify the severity of soil degradation. Compare the evaluation threshold with the degradation evaluation index to determine the specific level, obtain the recovery measures, determine the corresponding recovery measures according to the classification, and send the recovery measures to the terminal, solving the problem that in the existing process of black soil degradation monitoring, the degradation degree cannot be judged according to the satellite measurement data, and at the same time, the land degradation degree of the current black soil cannot be comprehensively considered. Description of the Drawings

[0017] Figure 1 It is a flowchart of an analysis method for black soil degradation satellite remote sensing intelligent monitoring data provided by an embodiment of the present invention; Figure 2 It is a flowchart of the steps of obtaining measurement targets and determining the actual values of the measurement targets according to the corresponding relationship provided by an embodiment of the present invention; Figure 3 It is a flowchart of the steps of obtaining measurement target thresholds, determining whether there are problems with the measurement targets according to the thresholds, and calculating the degradation evaluation index according to the weights provided by an embodiment of the present invention; Figure 4 It is a flowchart of the steps of obtaining the degradation evaluation index and obtaining the evaluation threshold of the degradation evaluation index provided by an embodiment of the present invention; Figure 5 It is an architecture diagram of an analysis system for black soil degradation satellite remote sensing intelligent monitoring data provided by an embodiment of the present invention; Figure 6 It is an architecture diagram of a measurement target module provided by an embodiment of the present invention; Figure 7It is the architecture diagram of the degradation evaluation index module provided by the embodiment of the present invention; Figure 8 It is the architecture diagram of the grading module provided by the embodiment of the present invention. Specific embodiments

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] It can be understood that the terms "first", "second", etc. used in this application can be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of this application, the first xx script can be called the second xx script, and similarly, the second xx script can be called the first xx script.

[0020] As Figure 1 shown, it is an analysis method for black soil degradation satellite remote sensing intelligent monitoring data provided by the embodiment of the present invention. The method includes: S100, obtaining satellite data, where the satellite data includes spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data and meteorological data.

[0021] In this step, satellite data is obtained. Obtaining satellite data is the first step in soil degradation monitoring. The satellite data includes spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data and meteorological data; The spectral reflectance data is the core information in remote sensing images and can reflect the radiation characteristics of ground objects. The satellite captures the solar radiation reflected by the ground through sensors in different bands; the vegetation index (NDVI) is a commonly used remote sensing index that reflects the health status of ground vegetation; the soil characteristic index is used to quantitatively evaluate the physical and chemical properties of the soil, especially soil salinity, nutrient content and moisture status; the ground cover type refers to the classification of different land types, such as cultivated land, forest, grassland and city; the soil moisture data reflects the soil's water holding capacity. Usually, when the soil organic matter is higher, the soil water holding capacity is stronger; the meteorological data directly affects the soil moisture status and thus affects the dynamic process of soil degradation, such as precipitation, temperature and humidity.

[0022] S200, obtaining measurement targets, where the measurement targets include soil erosion, soil salinization, decline of soil organic matter and change of land surface cover, obtaining the corresponding relationship between the measurement targets and the satellite data, and determining the actual values of the measurement targets according to the corresponding relationship.

[0023] In this step, measurement targets are obtained. When conducting soil degradation monitoring, to obtain measurement targets such as soil erosion, soil salinization, decline in soil organic matter, and changes in land surface cover, satellite data needs to be utilized for correlation analysis.

[0024] Each measurement target can be quantified through specific remote sensing data indicators. The correspondence between the data provided by remote sensing images and the actual ground situation is the basis for determining the values of measurement targets. The following will describe in detail how to obtain the actual values of these measurement targets through satellite data and establish their correspondences.

[0025] S300, obtain the threshold of the measurement target. The threshold is the minimum limit for qualifying the measurement target. Based on the threshold, it is determined whether there is a problem with the measurement target. If it is determined to be normal, obtain the weight of the measurement target, and calculate the degradation assessment index according to the weight.

[0026] In this step, obtain the threshold of the measurement target. The threshold is the minimum limit for qualifying the measurement target. By setting an appropriate threshold, it can be determined whether there is a problem with the measurement target, and the degradation assessment index is calculated according to the set weight, so as to quantitatively evaluate the severity of soil degradation. Determine whether there is a problem with the measurement target according to the threshold; If it is determined to be normal, obtain the weight of the measurement target. In degradation assessment, different measurement targets may have different importance or influence, so weights need to be assigned to each target. The determination of weights can be based on expert experience, policy requirements, or the relative importance of the targets. Calculate the degradation assessment index according to the weights. Through the weights and the assessment index of the measurement target, a comprehensive degradation assessment index (DEI) is calculated to provide a quantitative basis for the severity of land degradation.

[0027] S400, obtain the degradation assessment index, obtain the assessment threshold of the degradation assessment index. The assessment threshold is used to grade the severity of soil degradation, obtain the restoration measures, determine the corresponding restoration measures according to the grading, and send the restoration measures to the terminal.

[0028] In this step, obtain the degradation assessment index, obtain the assessment threshold of the degradation assessment index. Through the calculation of the degradation assessment index (DEI), the grading of the assessment threshold, and the automatic push of restoration measures, real-time monitoring, assessment, and intervention of land degradation problems can be achieved. Based on the grading of the DEI value, the severity of land degradation can be refined and stratified, and corresponding restoration measures can be matched according to different degradation levels.

[0029] By automatically pushing restoration measure information to the terminal, the response speed and accuracy of the restoration work can be improved, thereby effectively improving land quality and ensuring ecological security.

[0030] Such asFigure 2 As shown in Figure 2 , as a preferred embodiment of the present invention, the steps of obtaining the measurement target, where the measurement target includes soil erosion, soil salinization, decline of soil organic matter, and land surface cover change, obtaining the correspondence between the measurement target and satellite data, and determining the actual value of the measurement target according to the correspondence specifically include: S201, obtain the measurement target, where the measurement target includes soil erosion, soil salinization, decline of soil organic matter, and land surface cover change.

[0031] In this step, obtain the measurement target, where the measurement target includes soil erosion, soil salinization, decline of soil organic matter, and land surface cover change. Soil erosion refers to the removal or displacement of soil particles due to the action of water flow, wind, or human activities, thereby reducing soil quality and affecting plant growth. The spectral reflectance data, NDVI (Normalized Difference Vegetation Index), and bare soil index (SBI) obtained by satellites are commonly used indicators; Soil salinization refers to the accumulation of soluble salts in the soil, usually caused by over-irrigation, excessive evaporation, or arid climate, seriously affecting the soil structure and plant growth. Analyze soil salinization through the reflectance difference between the short-wave infrared (SWIR) and mid-infrared (MIR) bands; The decline of soil organic matter refers to the reduction of organic matter in the soil, usually due to over-tillage, burning of fields, or over-grazing, etc., resulting in a decrease in soil fertility and soil and water conservation ability. NDVI is the main indicator for evaluating vegetation health. Low NDVI values are usually associated with a decrease in soil organic matter, indicating poor plant growth, possibly due to a lack of soil organic matter; Land surface cover change refers to the change in land cover type, such as forest converted to cultivated land, cultivated land converted to desert, etc., reflecting the change in land use pattern and health status. Through land surface cover change classification data, the land surface in different periods can be classified to identify the change in land cover type.

[0032] S202, obtain the correspondence between the measurement target and satellite data. Satellite data has different effects on different parameters in the measurement target.

[0033] In this step, obtain the correspondence between the measurement target and satellite data. Satellite data has different effects on different parameters in the measurement target; For example, in soil erosion, NDVI and bare soil index (SBI) in satellite data can help determine the degree of soil erosion. Low NDVI values and high bare soil exposure usually mean serious soil erosion; In soil salinization, the reflectance data of short-wave infrared (SWIR) and mid-infrared (MIR) can help identify saline soils. A higher salt index (SI) value indicates a serious salinization phenomenon; The change in NDVI value during the decline of soil organic matter and the combination of soil moisture data can help determine the decline of soil organic matter; a long-term low NDVI and low soil moisture indicate a decline in organic matter; LULC data in land surface cover change can help determine the change in land cover type, and the change trend of NDVI can assist in identifying the change in vegetation cover.

[0034] S203, determine the actual value of the measurement target according to the corresponding relationship, and record the actual value.

[0035] In this step, determine the actual value of the measurement target according to the corresponding relationship. The method for measuring soil erosion is to use SBI, NDVI change, and the ground cover classification result to evaluate the degree of soil erosion in the area. The proportion of bare soil and the ratio of vegetation change can be used as indicators; The method for measuring soil salinization is to use the salinization index (such as NDSI, SI) and the change of NDVI, combined with meteorological data (such as precipitation) to evaluate the degree of salinization; The method for measuring the decline of soil organic matter is to use the LULC classification result of remote sensing images (such as cultivated land, grassland, forest, etc.), analyze the conversion process of different types of land, and thus evaluate the change in land surface cover; The method for measuring meteorological factors is to evaluate the impact of climate change on soil degradation by analyzing the relationship between meteorological data and remote sensing data (such as NDVI, soil moisture, etc.).

[0036] Such as Figure 3 As shown, as a preferred embodiment of the present invention, the step of obtaining the threshold of the measurement target, where the threshold is the minimum limit for qualifying the measurement target, determining whether there is a problem with the measurement target according to the threshold, and if it is determined to be normal, obtaining the weight of the measurement target and calculating the degradation evaluation index according to the weight specifically includes: S301, obtain the threshold of the measurement target, where the threshold is the minimum limit for qualifying the measurement target, and determine whether there is a problem with the measurement target according to the threshold.

[0037] In this step, obtain the threshold of the measurement target. The threshold is the minimum limit for qualifying the measurement target. Each measurement target has one or more corresponding thresholds. When the measurement result exceeds this threshold, it indicates that there is a problem with the target; Soil erosion is usually evaluated by the bare soil index (SBI) and NDVI. When the exposure of bare soil is high, soil erosion is often more serious. When the SBI value exceeds 0.6, it indicates that there is more bare soil exposure and there may be soil erosion problems. When the NDVI value is lower than 0.3, it indicates insufficient vegetation cover and the soil is vulnerable to erosion; Soil salinization is usually quantified by the salinization index (SI), which utilizes the reflectance difference between the short-wave infrared (SWIR) and mid-infrared (MIR) bands in remote sensing data. If the SI value is greater than 0.05, it indicates that there are obvious salinization problems in the area; The assessment of the decline in soil organic matter usually relies on remote sensing data such as the long-term change of NDVI and soil moisture. If the change range of NDVI exceeds 0.3, it indicates that the soil organic matter in the area may have declined. If the soil moisture is lower than 0.2, it may indicate a significant decline in soil organic matter; The change in surface cover can be evaluated through the LULC (land use / land cover classification) data of remote sensing images. If the LULC classification in a certain area changes from "forest" or "grassland" to "cultivated land" or "desert", it indicates that there may be land degradation problems in the area.

[0038] S302, if it is determined to be normal, obtain the measurement target weights. The target weights represent the importance of each type in the measurement target, and calculate the degradation assessment index according to the weights.

[0039] In this step, if it is determined to be normal, once a measurement target is determined to be normal through the threshold, the next step is to assign weights to each measurement target, and then calculate the degradation assessment index (DEI) based on these weights. Obtain the measurement target weights. Degradation assessment index = W1 × target 1 index + W2 × target 2 index +... + Wn × target n index, where Wi is the weight of each measurement target (such as 0.4, 0.3, etc.), and Ii is the evaluation index of each measurement target, indicating the degradation degree of the target. Usually, it can be a value between 0 (no degradation) and 1 (severe degradation).

[0040] S303, if it is determined to be abnormal, obtain the measurement target corresponding to the abnormal information, and then send the abnormal information to the terminal.

[0041] In this step, if it is determined to be abnormal, when the system is determined to be abnormal, it is necessary to generate and send abnormal information to the terminal in a timely manner. This information not only includes key information such as the measurement target, abnormal value, and location, but also needs to clarify the type of abnormality and the possible degradation impact.

[0042] Through this information, the staff can respond in a timely manner and take necessary measures to address and repair land degradation problems. This process can provide real-time and accurate data support for land management, helping relevant departments and personnel make more rapid and effective decisions.

[0043] Such as Figure 4As shown, as a preferred embodiment of the present invention, the steps of obtaining a degradation evaluation index, obtaining an evaluation threshold for the degradation evaluation index, where the evaluation threshold is used to classify the severity of soil degradation, obtaining restoration measures, determining corresponding restoration measures according to the classification, and sending the restoration measures to the terminal specifically include: S401, obtain a degradation evaluation index, obtain an evaluation threshold for the degradation evaluation index, where the evaluation threshold is used to classify the severity of soil degradation.

[0044] In this step, obtain a degradation evaluation index. The degradation evaluation index (DEI) is an indicator that comprehensively reflects the situation of soil degradation and is usually calculated from remote sensing data and ground data. It takes into account various factors related to soil degradation, such as soil erosion, salinization, soil organic matter content, and changes in vegetation cover. The value of DEI is usually between 0 and 1, where 0 indicates no degradation and 1 indicates extremely severe degradation; Obtain an evaluation threshold for the degradation evaluation index. The evaluation threshold is a standard used to divide the degradation evaluation index (DEI) into different severity levels. By setting certain thresholds, it can help identify lands with different degradation levels, so as to take appropriate restoration measures; DEI = 0.0 - 0.2 represents slight degradation. The land in this area has relatively light degradation and low restoration difficulty; DEI = 0.2 - 0.4 represents moderate degradation. The degree of land degradation is medium, which may lead to a certain decrease in soil fertility and reduction in vegetation cover; DEI = 0.4 - 0.6 represents relatively severe degradation. The degradation in this area is relatively serious, and the moisture, fertility, and structure of the soil have been severely damaged; DEI = 0.6 - 1.0 represents severe degradation. The land degradation is extremely serious, and the soil has almost lost its productive capacity, and there may be serious problems such as desertification and salinization.

[0045] S402, compare the evaluation threshold with the degradation evaluation index, determine the specific level, and obtain restoration measures.

[0046] In this step, compare the evaluation threshold with the degradation evaluation index, determine the specific level. According to the different severity levels of land degradation, different restoration measures can be taken. The core goal of these measures is to reduce soil degradation, restore the productive capacity of the soil, and improve the quality of the ecological environment. Different degradation levels require different restoration means; Obtain restoration measures. For slightly degraded areas, reasonable farming systems, crop rotation, and intercropping can be adopted to increase soil organic matter and maintain soil health. For moderately degraded areas, measures such as applying organic fertilizers and lime can be used to improve soil pH and nutrient status, strengthen vegetation restoration, plant windbreak and sand-fixing plants, increase vegetation coverage, and use green manure and organic fertilizers to improve soil fertility. For severely degraded areas, measures such as deep plowing the soil, increasing lime, phosphate fertilizers and other soil conditioners can be used to improve soil pH and nutrient status, install drip irrigation or sprinkler irrigation systems to improve water use efficiency and prevent water waste and soil salinization. For extremely degraded areas, large-scale afforestation can be carried out to restore the ecological environment, and through sand prevention and fixation technologies such as sand barrier construction and planting drought-tolerant vegetation, the ecology of desert areas can be restored.

[0047] S403. Determine the corresponding restoration measures according to the grading, and send the restoration measures to the terminal.

[0048] In this step, determine the corresponding restoration measures according to the grading. Slightly degraded areas can be restored through conventional agricultural management; moderately degraded areas require certain soil improvement and soil and water conservation measures; severely degraded areas require large-scale vegetation restoration and soil and water conservation projects; and extremely degraded areas may require urgent large-scale ecological restoration and soil improvement measures. Send the restoration measures to the terminal. Once the restoration measures for different degradation levels are determined, the restoration measure information can be sent to the terminal so that relevant personnel (such as agricultural management departments, local governments, or farmers) can understand and implement these restoration measures in a timely manner.

[0049] As Figure 5 shown, a system for analyzing satellite remote sensing intelligent monitoring data of black soil degradation provided by an embodiment of the present invention includes: A satellite module 100 for obtaining satellite data, where the satellite data includes spectral reflectance data, vegetation indices, soil characteristic indices, ground cover types, soil moisture data, and meteorological data.

[0050] In this system, the satellite module 100 obtains satellite data. Obtaining satellite data is the first step in soil degradation monitoring. The satellite data includes spectral reflectance data, vegetation indices, soil characteristic indices, ground cover types, soil moisture data, and meteorological data. Spectral reflectance data is the core information in remote sensing images, which can reflect the radiation characteristics of ground objects. Satellites capture the solar radiation reflected by the ground through sensors in different bands; the vegetation index (NDVI) is a commonly used remote sensing index that reflects the health status of ground vegetation; the soil characteristic index is used to quantitatively evaluate the physical and chemical properties of the soil, especially soil salinity, nutrient content, and moisture status; the ground cover type refers to the classification of different land types, such as cultivated land, forest, grassland, and urban areas; soil moisture data reflects the soil's water retention capacity. Generally, when the soil organic matter is higher, the soil water retention capacity is stronger; meteorological data directly affects the soil moisture status and thus affects the dynamic process of soil degradation, such as precipitation, temperature, and humidity.

[0051] The measurement target module 200 is used to obtain measurement targets, where the measurement targets include soil erosion, soil salinization, soil organic matter decline, and land surface cover change. It obtains the corresponding relationship between the measurement targets and satellite data, and determines the actual values of the measurement targets according to the corresponding relationship.

[0052] In this system, the measurement target module 200 obtains measurement targets. When conducting soil degradation monitoring, to obtain measurement targets such as soil erosion, soil salinization, soil organic matter decline, and land surface cover change, it is necessary to use satellite data for corresponding relationship analysis.

[0053] Each measurement target can be quantified through specific remote sensing data indicators. The corresponding relationship between the data provided by remote sensing images and the actual ground situation is the basis for determining the values of measurement targets. The following will detail how to obtain the actual values of these measurement targets through satellite data and establish their corresponding relationships.

[0054] The degradation assessment index module 300 is used to obtain measurement target thresholds. The threshold is the minimum limit for the qualification of measurement targets. It determines whether there are problems with the measurement targets according to the threshold. If it is determined to be normal, it obtains the weights of the measurement targets and calculates the degradation assessment index according to the weights.

[0055] In this system, the degradation assessment index module 300 obtains measurement target thresholds. The threshold is the minimum limit for the qualification of measurement targets. By setting appropriate thresholds, it can determine whether there are problems with the measurement targets and calculate the degradation assessment index according to the set weights, so as to quantitatively evaluate the severity of soil degradation. It determines whether there are problems with the measurement targets according to the threshold; If it is determined to be normal, obtain the measurement target weights. In degradation assessment, different measurement targets may have different importance or influence, so it is necessary to assign weights to each target. The determination of weights can be based on expert experience, policy requirements, or the relative importance of the targets. Calculate the degradation assessment index according to the weights, and calculate a comprehensive degradation assessment index (DEI) through the weights and the assessment indices of the measurement targets, providing a quantitative basis for the severity of land degradation.

[0056] The grading module 400 is used to obtain the degradation assessment index, obtain the assessment threshold of the degradation assessment index, where the assessment threshold is used to grade the severity of soil degradation, obtain the restoration measures, determine the corresponding restoration measures according to the grading, and send the restoration measures to the terminal.

[0057] In this system, the grading module 400 obtains the degradation assessment index and the assessment threshold of the degradation assessment index. Through the calculation of the degradation assessment index (DEI), the grading of the assessment threshold, and the automatic push of the restoration measures, real-time monitoring, assessment, and intervention of land degradation problems can be achieved. Based on the grading of the DEI value, the severity of land degradation can be refined into layers, and corresponding restoration measures can be matched according to different degradation levels.

[0058] By automatically pushing the restoration measure information to the terminal, the response speed and accuracy of the restoration work can be improved, thereby effectively improving the land quality and ensuring ecological security.

[0059] Such as Figure 6 shown, as a preferred embodiment of the present invention, the measurement target module 200 includes: The measurement target unit 201 is used to obtain the measurement targets, and the measurement targets include soil erosion, soil salinization, decline of soil organic matter, and change of land surface coverage.

[0060] In this module, the measurement target unit 201 obtains the measurement targets, and the measurement targets include soil erosion, soil salinization, decline of soil organic matter, and change of land surface coverage. Soil erosion refers to the situation where soil particles are carried away or displaced due to the action of water flow, wind, or human activities, thereby reducing the soil quality and affecting plant growth. The spectral reflectance data, NDVI (Normalized Difference Vegetation Index), and bare soil index (SBI) obtained by satellites are commonly used indicators; Soil salinization refers to the accumulation of soluble salts in the soil, usually caused by over-irrigation, excessive evaporation, or arid climate, which seriously affects the soil structure and plant growth. Analyze soil salinization through the reflectance difference between the short-wave infrared (SWIR) and mid-infrared (MIR) bands; The decline of soil organic matter refers to the reduction of organic substances in the soil, usually due to reasons such as over-tillage, burning of fields, or overgrazing, which leads to a decrease in soil fertility and the ability of soil and water conservation. NDVI is the main indicator for evaluating vegetation health. A low NDVI value is usually associated with a reduction in soil organic matter, indicating poor plant growth, possibly due to a lack of soil organic matter; Land surface cover change refers to the change in land cover types, such as forests being converted into arable land, arable land being converted into deserts, etc., which reflects the changes in land use patterns and health conditions. Through land surface cover change classification data, the land surface in different periods can be classified to identify the changes in land cover types.

[0061] The correspondence unit 202 is used to obtain the correspondence between the measurement target and satellite data. Satellite data has different effects on different parameters in the measurement target.

[0062] In this module, the correspondence unit 202 obtains the correspondence between the measurement target and satellite data. Satellite data has different effects on different parameters in the measurement target; For example, in soil erosion, NDVI and the bare soil index (SBI) in satellite data can help determine the degree of soil erosion. A low NDVI value and a high exposure of bare soil usually mean severe soil erosion; In soil salinization, the reflectance data of short-wave infrared (SWIR) and mid-infrared (MIR) can help identify saline-alkali soil. A higher value of the salinization index (SI) indicates a severe salinization phenomenon; The combination of the change in NDVI value and soil moisture data in the decline of soil organic matter can help determine the decline of soil organic matter. A long-term low NDVI and low soil moisture indicate a decline in organic matter; In land surface cover change, LULC data can help determine the change in land cover types, and the change trend of NDVI can assist in identifying the change in vegetation cover.

[0063] The actual value unit 203 is used to determine the actual value of the measurement target according to the correspondence and record the actual value.

[0064] In this module, the actual value unit 203 determines the actual value of the measurement target according to the correspondence. The method for measuring soil erosion is to use SBI, NDVI change, and the ground cover classification result to evaluate the degree of soil erosion in the area. The proportion of bare soil and the ratio of vegetation change can be used as indicators; The method for measuring soil salinization is to use the salinization index (such as NDSI, SI) and the change in NDVI, combined with meteorological data (such as precipitation) to evaluate the degree of salinization; The method for measuring the decline of soil organic matter is to use the LULC classification results of remote sensing images (such as cultivated land, grassland, forest, etc.) to analyze the conversion process of different types of land, so as to evaluate the change of land surface cover; The method for measuring meteorological factors is to evaluate the impact of climate change on soil degradation by analyzing the relationship between meteorological data and remote sensing data (such as NDVI, soil moisture, etc.).

[0065] Such as Figure 7 As shown, as a preferred embodiment of the present invention, the degradation assessment index module 300 includes: A target threshold unit 301 for obtaining a measurement target threshold, where the threshold is the minimum for qualifying the measurement target, and determining whether there is a problem with the measurement target according to the threshold.

[0066] In this module, the target threshold unit 301 obtains the measurement target threshold, and the threshold is the minimum for qualifying the measurement target. Each measurement target has one or more corresponding thresholds. When the measurement result exceeds this threshold, it indicates that there is a problem with the target; Soil erosion is usually evaluated by the Bare Soil Index (SBI) and NDVI. When the exposure of bare soil is high, soil erosion is often more serious. When the SBI value exceeds 0.6, it indicates that there is more bare soil exposure and there may be soil erosion problems. When the NDVI value is lower than 0.3, it indicates insufficient vegetation cover and the soil is vulnerable to erosion; Soil salinization is usually quantified by the Salinization Index (SI). This index uses the reflectance difference between the short-wave infrared (SWIR) and mid-infrared (MIR) bands in remote sensing data. If the SI value is greater than 0.05, it indicates that there are obvious salinization problems in this area; The assessment of the decline of soil organic matter usually relies on remote sensing data such as the long-term change of NDVI and soil moisture. If the change range of NDVI exceeds 0.3, it indicates that the soil organic matter in this area may have declined. If the soil moisture is lower than 0.2, it may indicate a significant decline in soil organic matter; The change of land surface cover can be evaluated by the LULC (Land Use / Land Cover Classification) data of remote sensing images. If the LULC classification of a certain area changes from "forest" or "grassland" to "cultivated land" or "desert", it indicates that there may be land degradation problems in this area.

[0067] A degradation assessment index unit 302 for obtaining a measurement target weight if it is determined to be normal, where the target weight is the importance of each type in the measurement target, and calculating the degradation assessment index according to the weight.

[0068] In this module, if the degradation evaluation index unit 302 determines that it is normal, once a measurement target is determined to be normal through the threshold judgment, the next step is to assign weights to each measurement target, and then calculate the degradation evaluation index (DEI) based on these weights. Obtain the weights of the measurement targets. The degradation evaluation index = W1×Target 1 index + W2×Target 2 index +... + Wn×Target n index, where Wi is the weight of each measurement target (such as 0.4, 0.3, etc.), and Ii is the evaluation index of each measurement target, indicating the degradation degree of the target. It is usually a value between 0 (no degradation) and 1 (severe degradation).

[0069] The abnormal unit 303 is used to obtain the measurement target corresponding to the abnormal information if it is determined to be abnormal, and then send the abnormal information to the terminal.

[0070] In this module, if the abnormal unit 303 determines that it is abnormal, when the system determines that it is abnormal, it must promptly generate and send the abnormal information to the terminal. This information not only includes key information such as the measurement target, abnormal value, and location, but also needs to clarify the type of abnormality and the possible degradation impact.

[0071] Through this information, the staff can respond in a timely manner and take necessary measures to address and repair land degradation problems. This process can provide real-time and accurate data support for land management, helping relevant departments and personnel make more rapid and effective decisions.

[0072] Such as Figure 8 As shown, as a preferred embodiment of the present invention, the grading module 400 includes: The grading module 401 is used to obtain the degradation evaluation index and the evaluation threshold of the degradation evaluation index. The evaluation threshold is used to grade the severity of soil degradation.

[0073] In this module, the grading module 401 obtains the degradation evaluation index. The degradation evaluation index (DEI) is an indicator that comprehensively reflects the situation of soil degradation and is usually calculated from remote sensing data and ground data. It takes into account various factors related to soil degradation, such as soil erosion, salinization, soil organic matter content, vegetation cover change, etc. The value of DEI is usually between 0 and 1, where 0 indicates no degradation and 1 indicates extremely severe degradation; Obtain the evaluation threshold of the degradation evaluation index. The evaluation threshold is the standard used to divide the degradation evaluation index (DEI) into different severity levels. By setting certain thresholds, it can help identify lands with different degradation degrees, so as to take appropriate restoration measures; DEI values ranging from 0.0 to 0.2 indicate slight degradation, where the land degradation in this area is relatively light and the restoration difficulty is relatively low; DEI values from 0.2 to 0.4 represent moderate degradation, with a medium level of land degradation, which may lead to a certain decline in soil fertility and a reduction in vegetation cover; DEI values from 0.4 to 0.6 denote relatively severe degradation, where the degradation in this area is relatively serious and the moisture, fertility, and structure of the soil have been severely damaged; DEI values from 0.6 to 1.0 indicate severe degradation, with extremely serious land degradation, where the soil has almost lost its productive capacity, and there may be serious problems such as desertification and salinization.

[0074] The grading unit 402 is used to compare the evaluation threshold with the degradation evaluation index, determine the specific grade, and obtain restoration measures.

[0075] In this module, the grading unit 402 compares the evaluation threshold with the degradation evaluation index, determines the specific grade, and different restoration measures can be taken according to the different severity levels of land degradation. The core goal of these measures is to reduce soil degradation, restore the productive capacity of the soil, and improve the quality of the ecological environment. Different degradation levels require different restoration means; Obtain restoration measures. For example, for slight degradation, restoration measures can include maintaining a reasonable farming system, crop rotation, and intercropping to increase soil organic matter and maintain soil health; for moderate degradation, restoration measures can include improving the soil pH and nutrient status by applying organic fertilizers, lime, etc., strengthening vegetation restoration, planting windbreak and sand-fixing plants to increase vegetation cover, and using green manure and organic fertilizers to improve soil fertility; for relatively severe degradation, restoration measures can include improving the soil pH and nutrient status by deep plowing the soil and adding lime, phosphate fertilizers, etc., installing drip irrigation or sprinkler irrigation systems to improve water resource utilization efficiency and prevent water waste and soil salinization; for severe degradation, restoration measures can include large-scale afforestation to restore the ecological environment, and restoring the ecology of desert areas through sand control and fixation technologies such as sand barrier construction and planting drought-tolerant vegetation.

[0076] The restoration measure unit 403 is used to determine the corresponding restoration measures according to the grading and send the restoration measures to the terminal.

[0077] In this module, the restoration measure unit 403 determines the corresponding restoration measures according to the grading. Slight degradation areas can be restored through conventional agricultural management; moderate degradation areas require certain soil improvement and soil and water conservation measures; relatively severe degradation areas require large-scale vegetation restoration and soil and water conservation projects; and severe degradation areas may require urgent large-scale ecological restoration and soil improvement measures; Send recovery measures to the terminal. Once the recovery measures for different degradation levels are determined, the recovery measure information can be sent to the terminal so that relevant personnel (such as agricultural management departments, local governments, or farmers) can understand and implement these recovery measures in a timely manner.

[0078] In one embodiment, a computer device is proposed. The computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Obtain satellite data, where the satellite data includes spectral reflectance data, vegetation indices, soil characteristic indices, ground cover types, soil moisture data, and meteorological data; Obtain measurement targets, where the measurement targets include soil erosion, soil salinization, soil organic matter decline, and land surface cover changes. Obtain the corresponding relationship between the measurement targets and the satellite data, and determine the actual values of the measurement targets according to the corresponding relationship; Obtain measurement target thresholds, where the thresholds are the minimum limits for qualifying the measurement targets. Determine whether there are problems with the measurement targets according to the thresholds. If it is determined to be normal, obtain the weights of the measurement targets and calculate the degradation assessment index according to the weights; Obtain the degradation assessment index, obtain the assessment threshold of the degradation assessment index, where the assessment threshold is used to classify the severity of soil degradation. Obtain recovery measures, determine the corresponding recovery measures according to the classification, and send the recovery measures to the terminal.

[0079] In one embodiment, a computer-readable storage medium is provided. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the processor is caused to execute the following steps: Obtain satellite data, where the satellite data includes spectral reflectance data, vegetation indices, soil characteristic indices, ground cover types, soil moisture data, and meteorological data; Obtain measurement targets, where the measurement targets include soil erosion, soil salinization, soil organic matter decline, and land surface cover changes. Obtain the corresponding relationship between the measurement targets and the satellite data, and determine the actual values of the measurement targets according to the corresponding relationship; Obtain measurement target thresholds, where the thresholds are the minimum limits for qualifying the measurement targets. Determine whether there are problems with the measurement targets according to the thresholds. If it is determined to be normal, obtain the weights of the measurement targets and calculate the degradation assessment index according to the weights; Obtain the degradation assessment index, obtain the assessment threshold of the degradation assessment index, where the assessment threshold is used to classify the severity of soil degradation. Obtain recovery measures, determine the corresponding recovery measures according to the classification, and send the recovery measures to the terminal.

[0080] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0081] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or an external cache. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0082] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0083] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

[0084] The above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for analyzing black soil degradation satellite remote sensing intelligent monitoring data, characterized in that: The method comprises: Acquiring satellite data, the satellite data including spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data and meteorological data; Acquire measurement targets, including soil erosion, soil salinization, soil organic matter decline and land surface cover change, acquire the corresponding relationship between the measurement targets and satellite data, and determine the actual value of the measurement targets according to the corresponding relationship; Obtaining a measurement target threshold, where the threshold is the minimum limit for the measurement target to be qualified, determining whether there is a problem with the measurement target based on the threshold, and if it is determined to be normal, obtaining a measurement target weight, and calculating a degradation assessment index based on the weight; Obtain a degradation assessment index, obtain an assessment threshold of the degradation assessment index, wherein the assessment threshold is used to classify the severity of soil degradation, obtain restoration measures, determine the restoration measures to be used according to the classification, and send the restoration measures to the terminal.

2. The method for analyzing black soil degradation satellite remote sensing intelligent monitoring data according to claim 1 is characterized in that: The step of obtaining the measurement target, wherein the measurement target includes soil erosion, soil salinization, soil organic matter decline and land surface cover change, obtaining the corresponding relationship between the measurement target and the satellite data, and determining the actual value of the measurement target according to the corresponding relationship specifically includes: Obtain measurement targets, including soil erosion, soil salinization, soil organic matter decline, and land surface cover changes; Obtain the correspondence between the measurement target and the satellite data. Satellite data has different effects on different parameters of the measurement target. Determine the actual value of the measurement target based on the corresponding relationship and record the actual value.

3. The method for analyzing black soil degradation satellite remote sensing intelligent monitoring data according to claim 2 is characterized in that: The step of obtaining a measurement target threshold, where the threshold is the minimum limit for the measurement target to be qualified, determining whether there is a problem with the measurement target according to the threshold, and if it is determined to be normal, obtaining a measurement target weight, and calculating a degradation assessment index according to the weight, specifically includes: Obtaining a measurement target threshold, where the threshold is the minimum limit for the measurement target to be qualified, and determining whether a problem occurs with the measurement target according to the threshold; If it is determined to be normal, the measurement target weight is obtained, where the target weight is the importance of each type of measurement target, and the degradation assessment index is calculated according to the weight; If it is determined to be abnormal, the abnormal information corresponding to the measurement target is obtained, and the abnormal information is sent to the terminal.

4. The method for analyzing black soil degradation satellite remote sensing intelligent monitoring data according to claim 3 is characterized in that: The steps of obtaining a degradation assessment index, obtaining an assessment threshold of the degradation assessment index, wherein the assessment threshold is used to classify the severity of soil degradation, obtaining restoration measures, determining restoration measures to be used according to the classification, and sending the restoration measures to the terminal specifically include: Obtaining a degradation assessment index and an assessment threshold of the degradation assessment index, wherein the assessment threshold is used to classify the severity of soil degradation; Compare the assessment threshold with the degradation assessment index, determine the specific level, and obtain restoration measures; Determine the appropriate recovery measures based on the classification and send them to the terminal.

5. The method for analyzing black soil degradation satellite remote sensing intelligent monitoring data according to claim 4 is characterized in that: The degradation assessment index=W1×target 1 index+W2×target 2 index+...+Wn×target n index.

6. An analysis system for satellite remote sensing intelligent monitoring data of black soil degradation, characterized in that: The system comprises: A satellite module, which acquires satellite data, including spectral reflectance data, vegetation index, soil characteristic index, ground cover type, soil moisture data and meteorological data; The measurement target module obtains the measurement target, which includes soil erosion, soil salinization, soil organic matter decline and land surface cover change, obtains the corresponding relationship between the measurement target and the satellite data, and determines the actual value of the measurement target according to the corresponding relationship; The degradation assessment index module obtains a measurement target threshold value, which is the minimum limit for the measurement target to be qualified, and determines whether there is a problem with the measurement target according to the threshold value. If it is determined to be normal, the measurement target weight is obtained, and the degradation assessment index is calculated according to the weight; The grading module obtains a degradation assessment index, obtains an assessment threshold of the degradation assessment index, wherein the assessment threshold is used to grade the severity of soil degradation, obtains restoration measures, determines the restoration measures to be used according to the grading, and sends the restoration measures to the terminal.

7. The analysis system of satellite remote sensing intelligent monitoring data of black soil degradation according to claim 6 is characterized in that: The measurement target module includes: Measurement target unit, obtain measurement targets, including soil erosion, soil salinization, soil organic matter decline and land surface cover change; The corresponding relationship unit obtains the corresponding relationship between the measurement target and the satellite data. The satellite data has different effects on different parameters of the measurement target. The actual value unit determines the actual value of the measurement target according to the corresponding relationship and records the actual value.

8. The analysis system of satellite remote sensing intelligent monitoring data of black soil degradation according to claim 7 is characterized in that: The degradation assessment index module includes: A target threshold unit, which obtains a measurement target threshold, wherein the threshold is the minimum limit for the measurement target to be qualified, and determines whether there is a problem with the measurement target according to the threshold; The degradation assessment index unit, if it is determined to be normal, obtains the measurement target weight, wherein the target weight is the importance of each type of measurement target, and calculates the degradation assessment index according to the weight; The abnormal unit, if determined to be abnormal, obtains abnormal information corresponding to the measurement target, and then sends the abnormal information to the terminal.

9. The analysis system of satellite remote sensing intelligent monitoring data of black soil degradation according to claim 8 is characterized in that: The classification module comprises: An evaluation unit, which obtains a degradation evaluation index and an evaluation threshold of the degradation evaluation index, wherein the evaluation threshold is used to classify the severity of soil degradation; The grading unit compares the assessment threshold with the degradation assessment index, determines the specific grade, and obtains restoration measures; The recovery measure unit determines the applicable recovery measures according to the classification and sends the recovery measures to the terminal.

10. The analysis system of satellite remote sensing intelligent monitoring data of black soil degradation according to claim 9 is characterized in that: The degradation assessment index=W1×target 1 index+W2×target 2 index+...+Wn×target n index.

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