Soil erosion dynamic monitoring method and system based on remote sensing data

Abstract

The invention belongs to the field of water and soil conservation, and particularly relates to a soil erosion dynamic monitoring method and system based on remote sensing data, and the method comprises the steps: S1, data collection: selecting a proper satellite data source; s2, data preprocessing: performing radiometric calibration on the remote sensing image; s3, information extraction: extracting land utilization type information and vegetation coverage information by using remote sensing data; s4, soil erosion intensity calculation and grading: adopting a soil loss equation calculation model, through the arrangement of a cleaning brush structure, the design is simple and convenient to operate, and when the meteorological observation equipment body is used, the surface of the meteorological observation equipment body can be cleaned, so that the working efficiency is improved. Therefore, dust and impurities adhered to the surface of the meteorological observation equipment body can be reduced, the monitoring precision is improved, mosquitoes and birds can be repelled, damage to the meteorological observation equipment body can be reduced, and the service life of the equipment is prolonged.

Description

Technical Field

[0001] The invention belongs to the field of soil and water conservation, and specifically relates to a soil erosion dynamic monitoring method and system based on remote sensing data. Background Art

[0002] Soil refers to a layer of loose material on the surface of the earth, composed of various granular minerals, organic matter, water, air, microorganisms, etc., and can grow plants. However, soil will often be eroded after long-term use. Soil erosion refers to the process in which soil and its parent material are destroyed, eroded, transported and deposited under the action of external forces such as water, wind, freeze-thaw, and gravity. Soil erosion can lead to a series of problems such as decreased soil fertility, land degradation, and deterioration of the ecological environment.

[0003] In order to monitor soil erosion, dynamic soil erosion monitoring based on remote sensing data is often used. Dynamic soil erosion monitoring based on remote sensing data refers to the use of remote sensing technology to monitor and evaluate soil erosion in real time and dynamically. Dynamic soil erosion monitoring based on remote sensing data often requires the use of meteorological observation equipment, mainly to obtain meteorological data such as rainfall, in order to assist in the establishment and prediction of soil erosion models. In the prior art, it has been found through long-term use and observation that when existing meteorological observation equipment is used in complex outdoor environments, dirt or obstructions may accumulate on the surface of the instrument due to the influence of the outdoor environment, making it difficult to clean, thereby affecting the accuracy of the data and reducing the monitoring accuracy. To this end, the present invention provides a soil erosion dynamic monitoring method and system based on remote sensing data. Summary of the invention

[0004] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a soil erosion dynamic monitoring method based on remote sensing data described in the present invention comprises: S1: Data collection: Select appropriate satellite data sources. First, the staff collects remote sensing data through satellite images and aerial photographs. The spatial resolution of the image is determined according to the size and accuracy requirements of the study area. At the same time, terrain data and meteorological data are collected. Meteorological data can be collected through meteorological devices; S2: Data preprocessing: perform radiometric calibration on remote sensing images, convert the digital quantization value (DN value) of the image into radiometric brightness value or reflectivity value, and crop the image according to the scope of the study area, remove the image data outside the study area, and reduce the amount of data and calculation; S3: Information extraction: Use remote sensing data and vegetation index models to extract land use type information and vegetation coverage information, and use digital elevation model data to generate slope maps; S4: Calculation and classification of soil erosion intensity: The soil loss equation (USLE) and its revised version are commonly used soil erosion calculation models. According to the characteristics of the study area and the availability of data, a suitable model is selected to calculate the soil erosion intensity. Based on the calculated soil erosion amount, the soil erosion intensity of the study area is classified according to the national or international soil erosion intensity classification standards; S5: Dynamic monitoring: Using remote sensing image data from different periods, repeatedly calculate the soil erosion factor and soil erosion intensity according to the steps, then compare and analyze the results from different periods.

[0006] Preferably, the spatial resolution in S1 means that generally for large areas, images with a resolution of 30m can be selected, and for small areas that require high precision, images with higher resolutions such as 10m or even 5m can be considered.

[0007] Preferably, the soil loss equation (USLE) in S4 is expressed as: A=R×K×L×S×C×P, where A is the amount of soil erosion and P is the soil and water conservation measure factor.

[0008] Preferably, the analysis in S5 refers to analyzing the changing trend of soil erosion intensity in a time series, such as which areas have improved soil erosion (decreased erosion intensity) and which areas have intensified soil erosion (increased erosion intensity), while combining land use / cover changes, implementation of soil and water conservation measures, and climate change factors to analyze the reasons for the dynamic changes in soil erosion.

[0009] Preferably, the meteorological device in S1 comprises a meteorological observation equipment body; a connecting frame is fixedly connected to the side wall of the meteorological observation equipment body; a fixing rod is symmetrically fixedly connected to the top of the connecting frame; a servo motor is fixedly connected to the side wall of the fixing rod; a rotating shaft is fixedly connected to the output end of the servo motor; the rotating shaft passes through the surface of the connecting frame and is rotatably connected thereto; a connecting block is fixedly connected to the end of the rotating shaft; a plurality of groups of blades are fixedly connected to the side wall of the connecting block; a connecting plate is fixedly connected to the side wall of the blade; a plurality of groups of cleaning brushes are fixedly connected to the side wall of the connecting plate; a connecting rope is fixedly connected to the side wall of the cleaning brush; and the connecting rope passes through the interior of the cleaning brush.

[0010] Preferably, a connecting rod is fixedly connected to the side wall of the connecting frame; a dust suction fan is fixedly connected to the side wall of the connecting rod; a dust suction pipe is fixedly connected to the input end of the dust suction fan; the dust suction pipe runs through the surface of the connecting frame; and an air collecting hood is fixedly connected to the end of the dust suction pipe.

[0011] Preferably, a slot is provided on the side wall of the connecting block; a mounting block is provided on the side wall of the blade; a block is fixedly connected to the top of the mounting block; the block and the slot are connected by snap-fitting; a cleaning cotton is fixedly connected to the bottom of the mounting block.

[0012] Preferably, the side wall of the air collecting hood is symmetrically provided with positioning grooves; a first magnetic block is fixedly connected to the inner side of the positioning groove; a filter plate is provided on the side wall of the air collecting hood; a second magnetic block is fixedly connected to the side wall of the filter plate; the second magnetic block is connected to the first magnetic block by magnetic connection.

[0013] Preferably, the system is applicable to the soil erosion dynamic monitoring method based on remote sensing data described above; the system includes a data acquisition and processing module, a power supply module, an information extraction module, a model calculation and prediction module, and a dynamic monitoring and evaluation module; The data acquisition and processing module and the power supply module are electrically connected; wherein the power supply module can supply power to the data acquisition and processing module, and the data acquisition and processing module can control the output of the current in the power supply module and can acquire remote sensing image data; The information extraction module is connected to the data acquisition and processing module via a signal, and the information extraction module can extract vegetation information, land use information and soil erosion related indicators; The model calculation and prediction module is connected to the data acquisition and processing module through a signal, and the model calculation and prediction module can use the RUSIE model or a similar model to calculate the soil erosion amount in combination with the extracted information and generate a soil erosion intensity grade map; The dynamic monitoring and evaluation module is connected to the data acquisition and processing module through signals, and uses multi-temporal remote sensing data to monitor the spatiotemporal evolution of soil erosion, evaluate the erosion rate and morphological changes, and the effectiveness of prevention and control measures.

[0014] The beneficial effects of the present invention are as follows: 1. The method and system for dynamic monitoring of soil erosion based on remote sensing data described in the present invention, through the provision of a cleaning brush structure, is not only simple and convenient to operate, but also can clean the surface of the meteorological observation equipment body when the meteorological observation equipment body is in use, thereby reducing dust and impurities adhering to the surface of the meteorological observation equipment body, thereby improving monitoring accuracy, and can also play a role in repelling mosquitoes and birds, thereby reducing damage to the meteorological observation equipment body and extending the service life of the equipment.

[0015] 2. The method and system for dynamic monitoring of soil erosion based on remote sensing data described in the present invention can absorb the swept dust and impurities through the dust suction pipe structure, thereby reducing pollution to the environment, and can increase the dust suction range, thereby improving the dust suction effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 is a flow chart of the method of the present invention; Figure 2 is a system flow chart of the present invention; Figure 3 is a stereogram of the present invention; Figure 4 It is a schematic diagram of the structure of the cleaning brush of the present invention; Figure 5 It is a structural schematic diagram of the gas collecting hood in the present invention.

[0018] In the figure: 1. meteorological observation equipment body; 10. connecting frame; 11. fixing rod; 12. servo motor; 13. rotating shaft; 14. connecting block; 15. blade; 16. connecting plate; 17. cleaning brush; 18. connecting rope; 2. connecting rod; 21. dust suction fan; 22. dust suction pipe; 23. air collecting hood; 3. card slot; 31. mounting block; 32. card block; 33. cleaning cotton; 4. positioning slot; 41. first magnetic block; 42. filter plate; 43. second magnetic block. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0020] like Figure 1 As shown, a soil erosion dynamic monitoring method based on remote sensing data according to an embodiment of the present invention comprises: S1: Data collection: Select appropriate satellite data sources. First, the staff collects remote sensing data through satellite images and aerial photographs. The spatial resolution of the image is determined according to the size and accuracy requirements of the study area. At the same time, terrain data and meteorological data are collected. Meteorological data can be collected through meteorological devices; S2: Data preprocessing: perform radiometric calibration on remote sensing images, convert the digital quantization value DN of the image into radiometric brightness value or reflectivity value, and crop the image according to the scope of the study area, remove the image data outside the study area, and reduce the amount of data and calculation; S3: Information extraction: Use remote sensing data and vegetation index models to extract land use type information and vegetation coverage information, and use digital elevation model data to generate slope maps; S4: Calculation and classification of soil erosion intensity: The soil loss equation USLE and its revised version are commonly used soil erosion calculation models. According to the characteristics of the study area and the availability of data, a suitable model is selected to calculate the soil erosion intensity. Based on the calculated soil erosion amount, the soil erosion intensity of the study area is classified according to the national or international soil erosion intensity classification standards; S5: Dynamic monitoring: Using remote sensing image data from different periods, repeatedly calculate the soil erosion factor and soil erosion intensity according to the steps, then compare and analyze the results from different periods.

[0021] like Figure 1 As shown, the spatial resolution mentioned in S1 means that generally for large areas, 30m resolution images can be selected, and for small areas that require high precision, higher resolution images such as 10m or even 5m can be considered.

[0022] like Figure 1 As shown, the expression of the soil loss equation USLE described in S4 is: A=R×K×L×S×C×P, where A is the amount of soil erosion and P is the soil and water conservation measure factor.

[0023] like Figure 1 As shown, the analysis described in S5 refers to analyzing the changing trend of soil erosion intensity in the time series, such as which areas have improved soil erosion and reduced erosion intensity, and which areas have aggravated soil erosion and increased erosion intensity. At the same time, the reasons for the dynamic changes in soil erosion are analyzed in combination with land use / cover changes, the implementation of soil and water conservation measures, and climate change factors.

[0024] like Figure 3-Figure 5As shown, the meteorological device in S1 includes a meteorological observation device body 1; a connecting frame 10 is fixedly connected to the side wall of the meteorological observation device body 1; a fixing rod 11 is symmetrically fixedly connected to the top of the connecting frame 10; a servo motor 12 is fixedly connected to the side wall of the fixing rod 11; a rotating shaft 13 is fixedly connected to the output end of the servo motor 12; the rotating shaft 13 passes through the surface of the connecting frame 10 and is rotatably connected thereto; a connecting block 14 is fixedly connected to the end of the rotating shaft 13; a plurality of blades 15 are fixedly connected to the side wall of the connecting block 14; a connecting plate 16 is fixedly connected to the side wall of the blade 15 ; Multiple groups of cleaning brushes 17 are fixedly connected to the side wall of the connecting plate 16; a connecting rope 18 is fixedly connected to the side wall of the cleaning brush 17; the connecting rope 18 runs through the inside of the cleaning brush 17; when working, the meteorological observation device body 1 can obtain meteorological data such as rainfall to assist in the establishment and prediction of soil erosion models. When the meteorological observation device body 1 is used outdoors, the meteorological observation device body 1 can support the connecting frame 10, the connecting frame 10 can support the fixing rod 11, the fixing rod 11 can support the servo motor 12, and the servo motor 12 can be driven to operate. The rotating shaft 13 rotates, and the rotating shaft 13 rotates, thereby driving the blades 15 to rotate, and the blades 15 rotate, thereby driving the connecting plate 16 to rotate, and the cleaning brush 17 can be connected through the connecting plate 16, and the connecting plate 16 rotates, thereby driving the cleaning brush 17 to clean the surface of the meteorological observation device body 1, so that the dust and impurities attached to the surface of the meteorological observation device body 1 can be cleaned, and when the blades 15 rotate, wind force can be generated, thereby blowing away the cleaned dust and impurities, and at the same time, when the blades 15 are moved When it rotates, it can repel mosquitoes and birds. The cleaning brush 17 can be connected together through the connecting rope 18, so that the cleaning brush 17 can clean more concentratedly. This design is not only simple and convenient to operate, but also when the meteorological observation equipment body 1 is in use, the surface of the meteorological observation equipment body 1 can be cleaned, thereby reducing dust and impurities adhering to the surface of the meteorological observation equipment body 1, thereby improving the monitoring accuracy, and can repel mosquitoes and birds, thereby reducing damage to the meteorological observation equipment body 1 and extending the service life of the equipment.

[0025] like Figure 3 - Figure 5As shown, the side wall of the connecting frame 10 is fixedly connected with a connecting rod 2; the side wall of the connecting rod 2 is fixedly connected with a dust suction fan 21; the input end of the dust suction fan 21 is fixedly connected with a dust suction pipe 22; the dust suction pipe 22 runs through the surface of the connecting frame 10; the end of the dust suction pipe 22 is fixedly connected with an air collecting hood 23; when working, the dust suction fan 21 can be supported by the connecting rod 2, and when the meteorological observation equipment body 1 is cleaned, the dust suction fan 21 is operated to generate suction, and the cleaned dust and impurities can be absorbed through the dust suction pipe 22, and the absorption range can be expanded through the air collecting hood 23. Through this design, the cleaned dust and impurities can be absorbed, thereby reducing pollution to the environment, and the dust suction range can be expanded, thereby improving the dust suction effect.

[0026] like Figure 3 and Figure 4 As shown, a slot 3 is provided on the side wall of the connecting block 14; a mounting block 31 is provided on the side wall of the blade 15; a block 32 is fixedly connected to the top of the mounting block 31; the connection mode of the block 32 and the slot 3 is a snap connection; a cleaning cotton 33 is fixedly connected to the bottom end of the mounting block 31; during operation, the staff inserts the block 32 into the slot 3, so that the cleaning cotton 33 can be installed, and the cleaning cotton 33 can be connected through the mounting block 31, and the rotating shaft 13 can drive the connecting block 14 to rotate while rotating, and the connecting block 14 can drive the cleaning cotton 33 to rotate, so that the top of the meteorological observation equipment body 1 can be cleaned, and the staff pulls out the block 32 from the slot 3, so that the cleaning cotton 33 can be disassembled. Through this design, the top of the meteorological observation equipment body 1 can be cleaned, thereby improving the cleaning effect, and it is convenient for the staff to install and disassemble the cleaning cotton 33, so that it is convenient for the staff to replace the cleaning cotton 33.

[0027] like Figure 5 and Figure 4 As shown, the side wall of the air collecting hood 23 is symmetrically provided with positioning grooves 4; the inner side of the positioning groove 4 is fixedly connected with a first magnetic block 41; the side wall of the air collecting hood 23 is provided with a filter plate 42; the side wall of the filter plate 42 is fixedly connected with a second magnetic block 43; the second magnetic block 43 is connected to the first magnetic block 41 in a magnetic manner; during operation, the staff inserts the second magnetic block 43 into the positioning groove 4, so that the first magnetic block 41 and the second magnetic block 43 can be connected, so that the filter plate 42 can be installed, and the filter plate 42 can play a filtering role. Through this design, the sucked dust and impurities can be filtered, and it is convenient for the staff to install and disassemble the filter plate 42, so that it is convenient for the staff to uniformly clean the dust and impurities filtered by the filter plate 42.

[0028] like Figure 2 As shown, the system is applicable to the soil erosion dynamic monitoring method based on remote sensing data described above; the system includes a data acquisition and processing module, a power supply module, an information extraction module, a model calculation and prediction module, and a dynamic monitoring and evaluation module; The data acquisition and processing module and the power supply module are electrically connected; wherein the power supply module can supply power to the data acquisition and processing module, and the data acquisition and processing module can control the output of the current in the power supply module and can acquire remote sensing image data; The information extraction module is connected to the data acquisition and processing module via a signal, and the information extraction module can extract vegetation information, land use information and soil erosion related indicators; The model calculation and prediction module is connected to the data acquisition and processing module through a signal, and the model calculation and prediction module can use the RUSIE model or a similar model to calculate the soil erosion amount in combination with the extracted information and generate a soil erosion intensity grade map; The dynamic monitoring and evaluation module is connected to the data acquisition and processing module through signals, and uses multi-temporal remote sensing data to monitor the spatiotemporal evolution of soil erosion, evaluate the erosion rate and morphological changes, and the effectiveness of prevention and control measures.

[0029] During operation, meteorological data such as rainfall can be obtained through the meteorological observation device body 1 to assist in the establishment and prediction of soil erosion models. When the meteorological observation device body 1 is used outdoors, the meteorological observation device body 1 can support the connecting frame 10, the connecting frame 10 can support the fixing rod 11, and the fixing rod 11 can support the servo motor 12. The servo motor 12 operates, thereby driving the rotating shaft 13 to rotate, and the rotating shaft 13 rotates, thereby driving the blades 15 to rotate, and the blades 15 rotate, thereby driving the connecting plate 16 to rotate, and the connecting plate 16 can connect the cleaning brush 17, and the connecting plate 16 rotates, thereby driving the cleaning brush 17 to clean the surface of the meteorological observation device body 1, so that the dust and impurities attached to the surface of the meteorological observation device body 1 can be cleaned, and when the blades 15 rotate, wind force can be formed, thereby blowing away the cleaned dust and impurities, and when the blades 15 rotate, mosquitoes and birds can be driven away, and the cleaning brush 17 can be connected to the connecting plate 16. The cleaning brushes 17 are connected together, so that the cleaning brushes 17 can clean more concentratedly. The dust suction fan 21 can be supported by the connecting rod 2. When the meteorological observation device body 1 is cleaned, the dust suction fan 21 is operated to generate suction. The dust and impurities cleaned away can be absorbed by the dust suction pipe 22. The absorption range can be expanded by the air collecting hood 23. The staff inserts the card block 32 into the card slot 3, so that the cleaning cotton 33 can be installed. The cleaning cotton 33 can be connected by the installation block 31. The rotating shaft 13 is rotated At the same time, the connecting block 14 can be driven to rotate, and the connecting block 14 can be rotated to drive the cleaning cotton 33 to rotate, so that the top of the meteorological observation equipment body 1 can be cleaned, and the staff can pull out the card block 32 from the card slot 3 to disassemble the cleaning cotton 33, and the staff can insert the second magnetic block 43 into the positioning slot 4 to connect the first magnetic block 41 with the second magnetic block 43, so that the filter plate 42 can be installed, and the filter plate 42 can play a filtering role.

[0030] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A soil erosion dynamic monitoring method based on remote sensing data, characterized in that: The monitoring method includes: S1: Data collection: Select appropriate satellite data sources. First, the staff collects remote sensing data through satellite images and aerial photographs. The spatial resolution of the image is determined according to the size and accuracy requirements of the study area. At the same time, terrain data and meteorological data are collected. Meteorological data can be collected through meteorological devices; S2: Data preprocessing: perform radiometric calibration on remote sensing images, convert the digital quantization value (DN value) of the image into radiometric brightness value or reflectivity value, and crop the image according to the scope of the study area, remove the image data outside the study area, and reduce the amount of data and calculation; S3: Information extraction: Use remote sensing data and vegetation index models to extract land use type information and vegetation coverage information, and use digital elevation model data to generate slope maps; S4: Calculation and classification of soil erosion intensity: The soil loss equation (USLE) and its revised version are commonly used soil erosion calculation models. According to the characteristics of the study area and the availability of data, a suitable model is selected to calculate the soil erosion intensity. Based on the calculated soil erosion amount, the soil erosion intensity of the study area is classified according to the national or international soil erosion intensity classification standards; S5: Dynamic monitoring: Using remote sensing image data from different periods, repeatedly calculate the soil erosion factor and soil erosion intensity according to the steps, then compare and analyze the results from different periods.

2. The soil erosion dynamic monitoring method based on remote sensing data according to claim 1 is characterized by: The spatial resolution mentioned in S1 refers to the fact that 30m resolution images can be selected for large areas. For small areas that require high precision, higher resolution images such as 10m or even 5m can be considered.

3. The soil erosion dynamic monitoring method based on remote sensing data according to claim 1 is characterized by: The expression of the soil loss equation (USLE) described in S4 is: A=R×K×L×S×C×P, where A is the amount of soil erosion and P is the soil and water conservation measure factor.

4. The soil erosion dynamic monitoring method based on remote sensing data according to claim 1 is characterized by: The analysis described in S5 refers to analyzing the changing trend of soil erosion intensity in the time series, such as which areas have improved soil erosion (decreased erosion intensity) and which areas have aggravated soil erosion (increased erosion intensity). At the same time, the reasons for the dynamic changes in soil erosion are analyzed in combination with land use / cover changes, the implementation of soil and water conservation measures, and climate change factors.

5. The soil erosion dynamic monitoring method based on remote sensing data according to claim 1 is characterized in that: The meteorological device in S1 comprises a meteorological observation device body (1); a connecting frame (10) is fixedly connected to the side wall of the meteorological observation device body (1); a fixing rod (11) is symmetrically fixedly connected to the top of the connecting frame (10); a servo motor (12) is fixedly connected to the side wall of the fixing rod (11); a rotating shaft (13) is fixedly connected to the output end of the servo motor (12); the rotating shaft (13) passes through the surface of the connecting frame (10) and is rotatably connected thereto; a connecting block (14) is fixedly connected to the end of the rotating shaft (13); a plurality of blades (15) are fixedly connected to the side wall of the connecting block (14); a connecting plate (16) is fixedly connected to the side wall of the blade (15); a plurality of cleaning brushes (17) are fixedly connected to the side wall of the connecting plate (16); a connecting rope (18) is fixedly connected to the side wall of the cleaning brush (17); and the connecting rope (18) passes through the interior of the cleaning brush (17).

6. The soil erosion dynamic monitoring method based on remote sensing data according to claim 5 is characterized by: A connecting rod (2) is fixedly connected to the side wall of the connecting frame (10); a dust suction fan (21) is fixedly connected to the side wall of the connecting rod (2); a dust suction pipe (22) is fixedly connected to the input end of the dust suction fan (21); the dust suction pipe (22) passes through the surface of the connecting frame (10); and an air collecting hood (23) is fixedly connected to the end of the dust suction pipe (22).

7. The soil erosion dynamic monitoring method based on remote sensing data according to claim 5 is characterized by: The side wall of the connection block (14) is provided with a slot (3); the side wall of the blade (15) is provided with a mounting block (31); a top end of the mounting block (31) is fixedly connected with a slot (32); the slot (3) and the mounting block (32) are connected by a snap connection; and a cleaning cotton (33) is fixedly connected with the bottom end of the mounting block (31).

8. The soil erosion dynamic monitoring method based on remote sensing data according to claim 6 is characterized by: The side wall of the gas collecting hood (23) is symmetrically provided with positioning grooves (4); a first magnetic block (41) is fixedly connected to the inner side of the positioning groove (4); a filter plate (42) is provided on the side wall of the gas collecting hood (23); a second magnetic block (43) is fixedly connected to the side wall of the filter plate (42); and the second magnetic block (43) is connected to the first magnetic block (41) by magnetic connection.

9. A soil erosion dynamic monitoring system based on remote sensing data, characterized in that: The system is applicable to a soil erosion dynamic monitoring method based on remote sensing data as described in claims 1-8; the system includes a data acquisition and processing module, a power supply module, an information extraction module, a model calculation and prediction module, and a dynamic monitoring and evaluation module; The data acquisition and processing module and the power supply module are electrically connected; wherein the power supply module can supply power to the data acquisition and processing module, and the data acquisition and processing module can control the output of the current in the power supply module and can acquire remote sensing image data; The information extraction module is connected to the data acquisition and processing module via a signal, and the information extraction module can extract vegetation information, land use information and soil erosion related indicators; The model calculation and prediction module is connected to the data acquisition and processing module through a signal, and the model calculation and prediction module can use the RUSIE model or a similar model to calculate the soil erosion amount in combination with the extracted information and generate a soil erosion intensity grade map; The dynamic monitoring and evaluation module is connected to the data acquisition and processing module through signals, and uses multi-temporal remote sensing data to monitor the spatiotemporal evolution of soil erosion, evaluate the erosion rate and morphological changes, and the effectiveness of prevention and control measures.

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