CN115082043A - Tobacco planting remote sensing supervision system and method - Google Patents
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Abstract
The invention discloses a remote sensing supervision system and a method for tobacco planting, which relate to the technical field of satellite remote sensing application, and comprise a remote sensing image preprocessing module; the remote sensing information tobacco information processing module; a geospatial information processing module; a database module; the remote sensing monitoring human-computer interaction module for tobacco planting. The system carries out the satellite remote sensing image analysis on the whole tobacco planting process through the satellite remote sensing technology for the tobacco planting management, and can effectively monitor the planting area, the over-planting positioning, the tobacco yield estimation, the disaster analysis and the like.
Description
Technical Field
The invention relates to the technical field of satellite remote sensing application, in particular to a remote sensing supervision system and method for tobacco planting.
Background
Tobacco leaves as tobacco products belong to special goods managed and controlled by the state, tobacco leaf planting needs to be managed in a unified way by a tobacco governing department, and tobacco companies need to monitor the whole process from signing a planting contract, tobacco seedling cultivation, field transplanting, tobacco leaf planting, harvesting, airing to a purchasing link. The tobacco leaf planting area is large in China, the distribution range is wide, the tobacco leaf planting area is supervised by a conventional manual ground investigation method, time and labor are consumed, errors are easily caused by human factors, and the tobacco leaf growth and field management are difficult to monitor in real time.
The remote sensing technology is a technology for imaging the ground in a large area based on a satellite platform or an airplane platform, has the characteristics of large coverage area, high information acquisition speed, short period, strong real-time performance, no limitation of ground conditions and the like, has the advantages of high accuracy, low cost and the like compared with manual conventional ground investigation and statistics, is primarily applied to agricultural crop classification, yield evaluation, resource investigation, disaster evaluation and the like, improves the efficiency of agricultural resource investigation, supervision and evaluation, but lacks an effective system for supervising the tobacco planting by applying the remote sensing technology in tobacco planting monitoring and field management.
Disclosure of Invention
The invention aims to provide a remote sensing supervision system and a remote sensing supervision method for tobacco planting.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a remote sensing supervision system for tobacco planting comprises
The remote sensing image preprocessing module is used for preprocessing the acquired remote sensing image;
the remote sensing information tobacco information processing module is used for completing tobacco information inversion based on remote sensing images;
the geographic spatial information processing module is used for processing spatial geographic information of the registration of the geographic information of the planting land blocks and the remote sensing images and determining the consistency of the attributes of crops and land and the consistency of claims and disasters;
the database module is used for organizing, storing, inquiring and counting tobacco planting data, remote sensing image data, agricultural channel ownership data, a vector map, tobacco planting distribution data and disaster damage assessment data;
the tobacco planting remote sensing monitoring human-computer interaction module is used for displaying, counting and classifying the supervision information in a human-computer interaction mode.
The remote sensing image preprocessing module is used for preprocessing the remote sensing image, and comprises one or more of geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image splicing processing, image fusion processing, image segmentation processing or thin cloud removal processing of the remote sensing image.
The further technical scheme is that the remote sensing information tobacco information processing module comprises a crop classification unit, a disaster evaluation unit and a loss evaluation unit.
The crop classification unit adopts multi-temporal and multi-spectral remote sensing images and a support vector machine supervision classification method, essential differences among tobacco crops, other crops and ground objects are searched in a multi-temporal and multi-spectral combined high-dimensional space, a plurality of specific advantages are shown in small sample, nonlinear and high-dimensional pattern recognition, and compared with a traditional neural network method, the method has the advantages of less requirement on sample capacity, better classification effect and difficulty in overfitting. The lower the general resolution of the remote sensing image, the richer the spectrum, the conventional high-resolution (better than 10 meters) satellite only has 4 wave bands, and the system comprehensively adopts a mode of combining the high resolution and the medium and low resolution on the selection of the remote sensing image and gives consideration to wave band information and geometric resolution information.
The disaster evaluation unit comprises a drought disaster evaluation subunit, a flood disaster evaluation subunit, a wind disaster evaluation subunit, a hail disaster evaluation subunit, a fire disaster evaluation subunit and a geological disaster evaluation subunit.
And the drought evaluation subunit adopts a vegetation water supply index method. Obtaining a remote sensing vegetation water supply index VSWI by adopting a temperature and vegetation index inversion product provided by a moderate resolution imaging spectrometer MODIS satellite; and calibrating by using the data accumulated for a long time to obtain a calibration curve of the remote sensing vegetation water supply index VSWI and the drought degree, and obtaining a drought and disaster distribution map.
And the flood evaluation subunit takes the multispectral image as a remote sensing data source for judging the flood disasters. And comparing the change of the near-infrared band reflectivity before and after the flood disaster, and judging the flood disaster area, wherein the near-infrared band reflectivity of the water body is far lower than the vegetation.
The wind disaster assessment subunit analyzes the texture abnormal area on the remote sensing image, compares the texture change of the remote sensing image before and after the disaster, and can judge the wind disaster area. Through data accumulation, the corresponding relation curve of the spectral reflectivity change and the lodging degree is calibrated, and the wind disaster degree can be judged.
And the hail disaster evaluation subunit contrasts and analyzes near-infrared band remote sensing images of before and after the disaster or the areas without the disaster and the disaster, analyzes the vegetation index reduction degree and judges the range and the degree of the hail disaster.
The fire evaluation subunit evaluates the fire according to the spectral analysis of the remote sensing images before and after the fire, judges the burning open fire according to the abnormal hot spots of the thermal infrared band of the remote sensing images, and generally judges the fire to be completely received after the fire.
The geological disaster evaluation subunit obviously reduces the vegetation index before and after the disaster, the area with the vegetation index close to the bare soil can be judged as the area affected by the disaster, the vegetation coverage area of crops is changed into the bare soil due to geological disasters such as debris flow, earthquake and the like, the near-infrared band reflectivity of the bare soil is far lower than that of the vegetation, the index of bare soil inversion is also far lower than that of the vegetation, and the area after the geological disasters such as debris flow, earthquake and the like can be basically judged as the dead harvest.
And the loss evaluation unit inverts the vegetation index by adopting a remote sensing image about one month before the tobacco harvesting period, compares the vegetation index with the historical vegetation index in the same period, and estimates the loss degree according to a mapping model of the vegetation index and the yield of the tobacco crops accumulated in the earlier period.
The geographic space information processing module comprises a crop and land property verification unit and a disaster damage and claim settlement data verification unit.
The further technical scheme is that the crop and land property verifying unit completes verification of crop properties and land data of land obtained through remote sensing monitoring and judges whether illegal planting exists; the crop and land block attribute verification processing flow comprises the following steps: 1) importing tobacco planting management data from a database module, classifying and identifying crop types through remote sensing information of a remote sensing information tobacco information processing module; 2) the plot information and the remote sensing image are subjected to registration processing; 3) and comparing the crop types classified and identified by the remote sensing information with the land parcel attributes and the planting information data agreed by the tobacco planting contract, marking the data items if the agreed planting information is too different from the remote sensing identification result, and forming a crop planting difference situation map based on remote sensing information evaluation.
The disaster damage and claim data verification unit compares and analyzes disaster damage data obtained by analyzing the remote sensing information tobacco leaf information processing module with claim data of personnel loss assessment; the process flow of the disaster damage and claim settlement data verification is as follows: 1) leading-in personnel loss assessment data and crop loss assessment data obtained by analyzing the remote sensing information tobacco information processing module; 2) integrating the plots with the remote sensing images, and calculating the loss area and the loss degree of each plot; 3) comparing and verifying the remote sensing evaluation result with the personnel damage assessment result to form a claim settlement verification result; 4) and storing the claim verification result data into a database module for query display and analysis of the tobacco planting remote sensing monitoring human-computer interaction module.
The tobacco planting remote sensing monitoring human-computer interaction module comprises a tobacco planting distribution display unit, a tobacco disaster distribution display unit, an illegal planting inquiry unit and a disaster settlement and claim supervision unit.
The tobacco planting distribution display unit searches and inquires tobacco planting areas of specified administrative areas and year conditions by accessing the database module, and displays tobacco planting land information and farmer information on a two-dimensional digital map; the tobacco disaster distribution display unit searches and inquires the remote sensing information tobacco leaf information processing module under the conditions of the designated administrative area and the year through accessing the database module to analyze and identify the tobacco disaster area, and displays the information of the disaster area, the information of the peasant household and the disaster reason on a two-dimensional digital map; the illegal planting inquiry unit searches and inquires geographic information processing modules under specified administrative regions and year conditions through accessing the database module, analyzes the identified illegal planting information, divides companies, regions, crops and illegal types to count the area of the illegal planting land parcel, and displays the distribution range of the illegal planting land parcel on a two-dimensional digital map; the disaster-suffering claim settlement monitoring unit searches and inquires the planting claim violation land parcels under the conditions of designated administrative areas and year by accessing the database module, counts the areas of the planting claim violation land parcels by companies, areas, crops and violation types, and displays the regional distribution of the crop planting areas and the regional distribution of the disaster damage assessment areas on a two-dimensional digital map.
The invention also provides a remote sensing supervision method for tobacco planting, which comprises the following steps:
step 1: collecting or purchasing remote sensing images of a planting area shot by platforms such as a satellite, an unmanned aerial vehicle and the like;
step 2: the remote sensing image preprocessing module carries out geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image fusion processing, thin cloud removal and other processing on the obtained remote sensing image of the planting area;
and step 3: the remote sensing tobacco information processing module classifies the types of crops in the remote sensing image and identifies the distribution area of the tobacco planting land parcel;
and 4, step 4: the remote sensing tobacco information processing module carries out disaster assessment on the remote sensing image, and identifies the disaster area and the disaster degree of tobacco planting;
and 5: the geographical space information processing module compares, checks and analyzes the tobacco planting land parcel identified by the remote sensing image with the tobacco planting data and the agricultural right data in the database module to obtain illegal planting land parcel information;
step 6: the geographical space information processing module verifies the tobacco planting disaster-affected plot information identified through the remote sensing image and the disaster damage assessment data in the database module to obtain the illegal claim settlement plot information;
and 7: by the tobacco planting remote sensing monitoring human-computer interaction module, information such as tobacco planting distribution, illegal planting, illegal claim settlement and the like is inquired, displayed and statistically analyzed in a human-computer interaction mode.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the satellite remote sensing technology is used for carrying out the satellite remote sensing image analysis on the whole tobacco planting process, so that the planting area, the super-seed positioning, the tobacco yield estimation, the disaster analysis and other aspects can be effectively monitored, the working intensity of tobacco planting management workers can be greatly reduced, the accuracy of the planting area measurement, yield estimation, the disaster prediction and other aspects can be improved, the control precision is improved, effective technical support is provided for the tobacco planting fine management, and data support is provided for the decision of a competent department.
Drawings
FIG. 1 is a block diagram of a remote sensing monitoring system for tobacco planting;
FIG. 2 is a flow chart of plant data verification;
FIG. 3 is a flowchart of the claims data verification process;
fig. 4 is a flow chart of human-computer interaction and information display for planting and claim settlement supervision.
Detailed Description
The invention will be further explained and explained with reference to the drawings and the embodiments.
Example 1
As shown in figure 1, the invention provides a remote sensing supervision system for tobacco planting, which comprises
The remote sensing image preprocessing module is used for preprocessing the acquired remote sensing image;
the remote sensing information tobacco information processing module is used for completing tobacco information inversion based on remote sensing images;
the geographic space information processing module is used for processing spatial geographic information of the registration of the geographic information of the planting land and the remote sensing image and determining the consistency of the attributes of crops and land and the consistency of claim settlement and damage;
the database module is used for organizing, storing, inquiring and counting tobacco planting data, remote sensing image data, agricultural menses ownership data, a vector map, tobacco planting distribution data and disaster damage assessment data;
the tobacco planting remote sensing monitoring human-computer interaction module is used for displaying, counting and classifying the supervision information in a human-computer interaction mode.
The preprocessing performed by the remote sensing image preprocessing module comprises any one or combination of the following processing: geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image splicing processing, image fusion processing, image segmentation processing and thin cloud removal processing of remote sensing images.
The remote sensing information tobacco information processing module comprises a crop classification unit, a disaster evaluation unit and a loss evaluation unit.
The crop classification unit adopts multi-temporal and multi-spectral remote sensing images and a support vector machine supervision classification method, essential differences among tobacco crops, other crops and ground objects are searched in a multi-temporal and multi-spectral combined high-dimensional space, a plurality of specific advantages are shown in small sample, nonlinear and high-dimensional pattern recognition, and compared with a traditional neural network method, the method has the advantages of less requirement on sample capacity, better classification effect and difficulty in overfitting. The lower the general resolution of the remote sensing image, the richer the spectrum, the conventional high-resolution (better than 10 meters) satellite only has 4 wave bands, and the system comprehensively adopts a mode of combining the high resolution and the medium and low resolution on the selection of the remote sensing image and gives consideration to wave band information and geometric resolution information.
The disaster evaluation unit comprises a drought disaster evaluation subunit, a flood disaster evaluation subunit, a wind disaster evaluation subunit, a hail disaster evaluation subunit, a fire disaster evaluation subunit and a geological disaster evaluation subunit.
And the drought evaluation subunit adopts a vegetation water supply index method. Obtaining a remote sensing vegetation water supply index VSWI by adopting a temperature and vegetation index inversion product provided by a moderate resolution imaging spectrometer MODIS satellite; and calibrating by using the data accumulated for a long time to obtain a calibration curve of the remote sensing vegetation water supply index VSWI and the drought degree, and obtaining a drought and disaster distribution map.
The flood disaster assessment subunit takes the multispectral image as a remote sensing data source for judging the flood disaster. And comparing the change of the near-infrared band reflectivity before and after the flood disaster, and judging the flood disaster area, wherein the near-infrared band reflectivity of the water body is far lower than the vegetation.
The wind disaster assessment subunit analyzes the texture abnormal area on the remote sensing image, compares the texture change of the remote sensing image before and after the disaster, and can judge the wind disaster area. Through data accumulation, the corresponding relation curve of the spectral reflectivity change and the lodging degree is calibrated, and the wind disaster degree can be judged.
And the hail disaster evaluation subunit contrasts and analyzes near-infrared band remote sensing images of before and after the disaster or the areas without the disaster and the disaster, analyzes the vegetation index reduction degree and judges the range and the degree of the hail disaster.
The fire evaluation subunit evaluates the remote sensing images before and after the fire, judges the burning open fire according to the abnormal hot spot of the thermal infrared band of the remote sensing images, and generally can judge that the fire is completely lost after the fire.
The geological disaster evaluation subunit obviously reduces the vegetation index before and after the disaster, and the area with the vegetation index close to the bare soil can be judged as the disaster affected area of the address disaster, the vegetation coverage area of crops is changed into the bare soil due to geological disasters such as debris flow, earthquake and the like, the reflectivity of the near-infrared band of the bare soil is far lower than that of the vegetation, the index of bare soil inversion is also far lower than that of the vegetation, and the vegetation index can be basically judged as the top harvest after the geological disasters such as debris flow, earthquake and the like.
And the loss evaluation unit inverts the vegetation index by adopting a remote sensing image about one month before the tobacco harvesting period, compares the vegetation index with the historical vegetation index in the same period, and estimates the loss degree according to a mapping model of the vegetation index and the yield of the tobacco crops accumulated in the earlier period.
The geospatial information processing module comprises a crop and land parcel attribute verification unit and a disaster damage and claim settlement data verification unit.
The crop and plot attribute verification unit is used for verifying the crop attributes acquired through remote sensing monitoring and the land data of the plot and judging whether illegal planting exists or not; as shown in fig. 2, the process flow of checking the attributes of the crops and the plots is as follows: 1) importing tobacco planting management data from a database module, classifying and identifying crop types through remote sensing information of a remote sensing information tobacco information processing module; 2) the plot information and the remote sensing image are subjected to registration processing; 3) and (3) comparing the crop types classified and identified by the remote sensing information with the land parcel attributes and the planting information data agreed by the tobacco planting contract, marking the data items if the agreed planting information is too different from the remote sensing identification result, and forming a crop planting difference situation diagram based on remote sensing information evaluation.
The disaster damage and claim settlement data verification unit compares and analyzes disaster damage data obtained by analysis of the remote sensing information tobacco leaf information processing module with claim settlement data of personnel damage assessment; as shown in fig. 3, the process flow of the disaster damage and claim settlement data verification is as follows: 1) importing operator loss assessment data and crop loss assessment data obtained by analysis of a remote sensing information tobacco information processing module; 2) integrating the plots with the remote sensing images, and calculating the loss area and the loss degree of each plot; 3) comparing and verifying the remote sensing evaluation result with the personnel damage assessment result to form a claim settlement verification result; 4) and storing the claim verification result data into a database module for query display and analysis of the tobacco planting remote sensing monitoring human-computer interaction module.
As shown in fig. 4, the tobacco planting remote sensing monitoring human-computer interaction module includes a tobacco planting distribution display unit, a tobacco disaster distribution display unit, an illegal planting inquiry unit and a disaster settlement monitoring unit.
The tobacco planting distribution display unit searches and inquires tobacco planting areas of specified administrative areas and year conditions by accessing the database module, and displays tobacco planting land information and farmer information on a two-dimensional digital map; the tobacco disaster distribution display unit searches and inquires the remote sensing information tobacco leaf information processing module under the conditions of the designated administrative area and the year through accessing the database module to analyze and identify the tobacco disaster area, and displays the information of the disaster area, the information of farmers and the disaster reason on a two-dimensional digital map;
the illegal planting inquiry unit searches and inquires geographic information processing modules under the conditions of an appointed administrative region and year through accessing the database module, analyzes and identifies the illegal planting information, counts the area of the illegal planting land parcel according to company, region, crop and illegal type, and displays the distribution range of the illegal planting land parcel on a two-dimensional digital map;
the disaster-affected claim supervision unit searches and inquires the planting claim violation land parcels under the conditions of specified administrative areas and year by accessing the database module, counts the area of the planting claim violation land parcels by company, area, crop and violation types, and displays the regional distribution of the crop planting area and the regional distribution of the disaster damage assessment area on the two-dimensional digital map.
Example 2
The supervision method corresponding to the remote sensing supervision system for tobacco planting in embodiment 1 specifically comprises the following steps:
step 1: collecting or purchasing remote sensing images of a planting area shot by platforms such as a satellite, an unmanned aerial vehicle and the like;
step 2: the remote sensing image preprocessing module carries out geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image fusion processing, thin cloud removal and other processing on the obtained remote sensing image of the planting area;
and step 3: the remote sensing tobacco information processing module classifies the types of crops in the remote sensing image and identifies the distribution area of the tobacco planting land parcel;
and 4, step 4: the remote sensing tobacco information processing module carries out disaster assessment on the remote sensing image, and identifies the disaster area and the disaster degree of tobacco planting;
and 5: the geographical space information processing module compares, checks and analyzes the tobacco planting land parcel identified by the remote sensing image with the tobacco planting data and the agricultural right data in the database module to obtain illegal planting land parcel information;
step 6: the geographical space information processing module verifies the tobacco planting disaster-affected plot information identified through the remote sensing image and the disaster damage assessment data in the database module to obtain the illegal claim settlement plot information;
and 7: by the tobacco planting remote sensing monitoring human-computer interaction module, information such as tobacco planting distribution, illegal planting, illegal claim settlement and the like is inquired, displayed and statistically analyzed in a human-computer interaction mode.
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (10)
1. A remote sensing supervision system for tobacco planting is characterized by comprising:
the remote sensing image preprocessing module is used for preprocessing the acquired remote sensing image;
the remote sensing information tobacco information processing module is used for completing tobacco information inversion based on remote sensing images;
the geographic space information processing module is used for processing spatial geographic information of the registration of the geographic information of the planting land blocks and the remote sensing images and determining the consistency of the attributes of crops and land and the consistency of claims and disasters;
the database module is used for organizing, storing, inquiring and counting tobacco planting data, remote sensing image data, agricultural menses ownership data, a vector map, tobacco planting distribution data and disaster damage assessment data;
the tobacco planting remote sensing monitoring human-computer interaction module is used for displaying, counting and classifying the supervision information in a human-computer interaction mode.
2. The remote sensing supervision system for tobacco planting according to claim 1, wherein the preprocessing performed by the remote sensing image preprocessing module comprises one or more of geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image splicing processing, image fusion processing, image segmentation processing or thin cloud removal processing of remote sensing images.
3. The remote sensing and supervision system for tobacco planting according to claim 1, wherein the remote sensing information tobacco information processing module comprises a crop classification unit, a disaster evaluation unit and a loss evaluation unit.
4. The tobacco planting remote sensing supervisory system according to claim 3, wherein the disaster evaluation unit includes a drought evaluation subunit, a flood evaluation subunit, a wind evaluation subunit, a hail evaluation subunit, a fire evaluation subunit, and a geological disaster evaluation subunit.
5. The remote sensing and supervision system for tobacco planting according to claim 1, wherein the geospatial information processing module comprises a crop and plot attribute verification unit and a disaster damage and claim settlement data verification unit.
6. The remote sensing supervision system for tobacco planting according to claim 5, wherein the crop and plot attribute verification unit completes verification of crop attributes and plot land data obtained through remote sensing monitoring and judges whether illegal planting exists; the crop and land block attribute verification processing flow comprises the following steps: 1) importing tobacco planting management data from a database module, classifying and identifying crop types through remote sensing information of a remote sensing information tobacco information processing module; 2) the plot information and the remote sensing image are subjected to registration processing; 3) and comparing the crop types classified and identified by the remote sensing information with the land parcel attributes and the planting information data agreed by the tobacco leaf planting contract, marking the data items if the agreed planting information is different from the remote sensing identification result, and forming a crop planting difference situation map based on remote sensing information evaluation.
7. The remote sensing monitoring system for tobacco planting according to claim 5, wherein the damage and claim data verification unit compares damage data obtained by analysis of the remote sensing information tobacco information processing module with claim data of personnel damage assessment; the process flow of the disaster damage and claim settlement data verification is as follows: 1) leading-in personnel loss assessment data and crop loss assessment data obtained by analyzing the remote sensing information tobacco information processing module; 2) integrating the plots with the remote sensing images, and calculating the loss area and the loss degree of each plot; 3) comparing and verifying the remote sensing evaluation result with the personnel damage assessment result to form a claim settlement verification result; 4) and storing the claim verification result data into a database module for query display and analysis of the tobacco planting remote sensing monitoring human-computer interaction module.
8. The remote sensing and supervision system for tobacco planting according to claim 1, wherein the human-computer interaction module for remote sensing and monitoring for tobacco planting comprises a tobacco planting distribution display unit, a tobacco disaster distribution display unit, an illegal planting inquiry unit and a disaster settlement and claim supervision unit.
9. The remote sensing and supervision system for tobacco planting according to claim 8, wherein the tobacco planting distribution display unit searches and inquires a tobacco planting area specifying an administrative area and a year condition by accessing the database module, and displays tobacco planting plot information and farmer information on a two-dimensional digital map; the tobacco disaster distribution display unit searches and inquires the remote sensing information tobacco leaf information processing module under the specified administrative region and year conditions by accessing the database module to analyze and identify the tobacco disaster area, and displays the information of the disaster area, the information of the peasant household and the disaster reason on a two-dimensional digital map; the illegal planting inquiry unit searches and inquires a geographic space information processing module under the conditions of a designated administrative area and a year through accessing the database module, analyzes and identifies illegal planting information, counts the area of the illegal land parcel by company, area, crop and illegal type, and displays the distribution range of the illegal land parcel on the two-dimensional three-dimensional digital map; the disaster-affected claim supervision unit searches and inquires the planting claim violation land parcels under the conditions of specified administrative areas and year by accessing the database module, counts the area of the planting claim violation land parcels by company, area, crop and violation types, and displays the regional distribution of the crop planting area and the regional distribution of the disaster damage assessment area on a two-dimensional digital map.
10. A remote sensing supervision method for tobacco planting is characterized by comprising the following steps:
step 1, collecting or purchasing a remote sensing image of a planting area shot from a satellite or an unmanned aerial vehicle platform;
step 2, the remote sensing image preprocessing module carries out geometric correction processing, atmospheric transmission correction processing, filtering noise reduction processing, image fusion processing and thin cloud removal processing on the obtained remote sensing image of the planting area;
step 3, the remote sensing tobacco information processing module classifies the types of crops in the remote sensing image and identifies the distribution area of the tobacco planting land parcel;
step 4, carrying out disaster assessment on the remote sensing image by the remote sensing tobacco information processing module, and identifying a tobacco planting disaster area and a disaster degree;
step 5, the geographic space information processing module compares, checks and analyzes the tobacco planting plots identified through the remote sensing images with the tobacco planting data and the agricultural channel weight data in the database module to obtain illegal planting plot information;
step 6, the geographic space information processing module verifies the tobacco planting disaster-affected plot information identified through the remote sensing image and disaster damage assessment data in the database module to obtain illegal claim settlement plot information;
and 7, inquiring, displaying, counting and analyzing tobacco planting distribution, illegal planting and illegal claim settlement information in a man-machine interaction mode through a tobacco planting remote sensing monitoring man-machine interaction module.
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