88 results about "Thematic map" patented technology

The invention discloses a plateau mountain road disaster identification method and system based on multi-source remote sensing image restoration and super-resolution reconstruction. The method comprises the following steps: acquiring and preprocessing a multi-source remote sensing image of a plateau mountain region, and extracting landform measurement parameters based on a digital elevation model; a super-resolution reconstruction network fusing deformable convolution and Transform is constructed, and a low-resolution image is reconstructed by using constraint training of a composite loss function containing geomorphic measurement parameters; performing feature extraction and adaptive weighted fusion on the preprocessed image and the reconstructed high-resolution image; based on the fused image, utilizing a multi-task deep learning model to identify landslide, debris flow and roadbed subsidence disasters along the highway; and carrying out morphological optimization and boundary refinement under GIS constraint on an identification result, and outputting a disaster thematic map. According to the invention, the precision and reliability of road disaster identification in a complex terrain environment are effectively improved.

The invention belongs to the technical field of mineral exploration, and particularly discloses a copper ore prospecting method based on three-dimensional geological modeling. The method comprises the following steps: acquiring geological data of a target area; after extreme values in the geological data are recognized and removed through a box plot, the geological data are mapped to an interval of [0, 1], and the geological data are divided into terrain data, stratum data and mineral resource data; adopting Kalman filtering to enable the data to form fusion data, and generating a thematic map comprising a geological map, a mineralization anomaly map and a topographic slope map; based on the data and the thematic map, constructing a three-dimensional geologic model by a finite element method, and performing mining path planning by adopting a specific path planning algorithm formula; exploring by the mining equipment according to the planned path, acquiring geological data, comparing the geological data with the predicted data, re-planning the path and continuing exploring if the path is blocked, the resource recovery is out of tolerance and new mineralization is abnormal, otherwise continuing exploring according to the planned path. The method has the advantages of being high in exploration efficiency and data precision, low in comprehensive cost and high in adaptability.

The invention, which relates to the technical field of remote sensing and image processing, discloses a multispectral and visible light image automatic surface feature classification system comprising a surface feature data acquisition module, a surface feature feature extraction module, a surface feature classification module, a category arbitration module and a category mapping module. After surface feature data are collected and preprocessed, a feature extraction module extracts multispectral and visible light features, a surface feature classification module constructs a model to output probability distribution of various surface features, a category arbitration module intelligently decides and outputs a final category, and a category mapping module generates a surface feature classification thematic map and a report and sets an alarm threshold and a feedback instruction. According to the method, efficient fusion of multispectral and visible light images and automatic ground object classification are realized, the classification precision and efficiency are improved, classification errors are reduced through intelligent decision arbitration, generated thematic maps and reports are visual and easy to use, the monitoring and response capability of ground object changes is enhanced through setting of an alarm threshold value and a feedback instruction, and the method is suitable for large-scale popularization and application. Wide application prospects and values are realized.

The invention relates to the field of remote sensing technology and land resource management, and discloses a remote sensing image-based regional land utilization data change detection method, which comprises the following steps of: obtaining multi-temporal remote sensing image data of a research region; preprocessing of geometric correction, radiation correction and noise removal is carried out on the remote sensing image; carrying out preliminary classification on the image data by adopting an unsupervised classification method, and correcting a classification result in combination with field collected data; constructing a transfer matrix according to a classification result, performing change detection on the classification result of the multi-temporal image, and analyzing a conversion relation and area change among different land classes; and generating a thematic map to display land class distribution and change trend, and outputting a statistical analysis result. According to the method, quantitative analysis and visual display are combined, the land utilization change rule can be efficiently and accurately reflected, a scientific basis is provided for regional land resource management and planning, the applicability is high, and the implementation cost is low.

The invention discloses a distribution network intelligent mapping modeling and analysis system and method based on a topology model, and relates to the technical field of distribution network mapping, and the modeling and analysis system comprises a data source module which is used for obtaining distribution network basic data; the data processing module is used for converting the equipment model data and the topological relation data into graph-forming connecting line relation structure data, calculating the equipment graphic element size, the station building pixel size and the graph-forming canvas size, and assembling station building internal equipment interval data; determining arrangement coordinates of the equipment in the canvas by adopting a force-oriented layout algorithm; assembling interval data of equipment in the website room according to the equipment topology association relationship group, and calculating the arrangement spacing of the equipment in each interval; the whole process automation of the distribution network thematic map from data to map formation is realized, and the drawing efficiency and accuracy are greatly improved; through force-oriented layout and a multiple optimization algorithm, a graph which is reasonable in layout, clear and easy to read is generated; and the consistency and linkage of the graph and the data source are ensured.

The invention discloses a vibroflotation pile composite foundation quality evaluation method based on an AHP-entropy weight method. The method comprises the following steps: constructing a multi-dimensional analysis model; four master control influence factors of quality evaluation are obtained based on the multi-dimensional analysis model; weighting the influence factors based on an AHP subjective weighting method and an entropy weight objective weighting method, and obtaining a combined weight; obtaining a normalized thematic map of each influence factor evaluation index based on a Kriging interpolation method; superposing the normalized thematic maps based on a GIS superposition coupling function to obtain a quality quantification index type partition evaluation map of the whole area of the composite foundation; and carrying out partition evaluation on the quality of the vibro-replacement stone column composite foundation in the whole region. According to the method, the multi-dimensional analysis model is constructed to obtain the combination weight of each index, so that the evaluation is comprehensive, and the error of the evaluation result is greatly reduced; the influence factors are coupled in the same graph and are subjected to partition evaluation, so that the evaluation precision of the processed foundation is improved.

According to the automatic finishing configuration method for the geographic information annotation of the thematic map, an annotation method for establishing point, line and surface elements in the thematic map as well as image name, legend and thematic icon finishing elements is established, so that the drawing efficiency of the thematic map is improved, the annotation drawing work of the thematic map is enabled to be one-key, and the automation of drawing the thematic map by CorelDRAW is realized; the method comprises the following steps: establishing an annotation configuration rule of each element, configuring each annotation on a graph according to the corresponding rule, judging whether the annotations conflict or not by establishing a model algorithm and shifting, and automatically configuring the annotations of the line elements by utilizing a method of equidistantly segmenting the line elements. And realizing direct layer simplification of the line element cdr file. According to the method, a graph name annotation configuration scheme, a legend configuration scheme and a statistical graph annotation configuration scheme are established, automatic configuration of graph names, legends and statistical element annotations is achieved in CorelDRAW through rules, the drawing efficiency is improved, and beautification and expression of thematic maps are achieved.

The invention particularly relates to a spatial analysis method based on large model agent driving. According to the spatial analysis method based on large model agent driving, syntactic analysis and intention recognition are carried out on a spatial problem described by a natural language through a large model, and spatial-temporal clustering, network analysis and a field simulation algorithm module are dynamically matched; packaging a heterogeneous algorithm into a standardized service component based on a model context protocol (MCP), and automatically constructing an analysis process chain; and integrating a GIS engine and a visual template library, generating a dynamic thematic map according to the processed spatio-temporal data through the visual engine, and superposing multi-dimensional analysis annotations. According to the spatial analysis method based on large model agent driving, the full-chain intelligent capability from data processing to decision support is constructed, the efficiency and precision of spatio-temporal evolution modeling are remarkably improved, meanwhile, the system integration and maintenance cost is reduced, the method is suitable for high-complexity scenes needing real-time spatio-temporal data analysis, and the method is suitable for popularization and application. And the method has remarkable technical innovation and industrial application value.

The invention relates to a rice blast forecasting method coupled with multi-source data, and solves the problem of insufficient forecasting precision caused by single data source in the existing method. The method comprises the following steps: constructing a historical long-time-sequence meteorological product database; constructing a historical disease promoting index according to the historical long-time-sequence meteorological product database; a disease promoting index in the next three days is constructed based on weather forecast data; constructing a rice growth monitoring model based on MODIS data, and determining the rice growth level; the method comprises the following steps of: constructing an improved rice blast disease promoting index model, performing normalization processing on a disease promoting index, converting a disease promoting index layer after grid normalization into a vector point location layer by utilizing a GIS layer conversion method, and performing interpolation processing on the vector point location layer by utilizing a Kriging interpolation method; cutting the interpolation processing result according to the rice distribution data of the target area; and outputting an improved rice blast disease promoting index grade thematic map. According to the invention, multi-source data can be coupled to carry out accurate and periodic forecasting on the rice blast.

The invention belongs to the technical field of information remote sensing, and particularly discloses a port and bridge large-scale target thematic map generation method based on an SAR technology, and the method comprises the steps: obtaining multi-temporal synthetic aperture radar image data of a port region, processing the original signal intensity distribution of the image data through denoising and filtering, and obtaining a smoothed scattering intensity map; according to the scattering intensity graph, extracting echo amplitude and phase information of a target area, fusing multi-polarization channel data, and determining a scattering characteristic parameter set; grouping the scattering characteristic parameter set based on a clustering algorithm, and separating preliminary clustering results of facility classes and residue classes to obtain feature vector representation; matching the feature vector representation with a stored shape template according to a pre-established feature database; the objective of the invention is to solve the problem in the prior art that environment management is difficult to accurately position a business scene due to mixed distribution of facilities and residues in a port area.

The invention discloses a harmonic spectrum information cutting-based flood inundation range remote sensing rapid extraction method, which comprises the steps of S1, converting an obtained remote sensing image from an RGB color space to an HSV color space, extracting spectral information of the image, and decomposing the spectral information into harmonic spectrum components; s2, constructing an improved clustering model based on a density peak value clustering algorithm, and clustering pixel points in the remote sensing image into a suspected water body class and a non-water body class; s3, optimizing a clustering result through a semantic segmentation network, taking the clustered image as input, and outputting a water body and non-water body segmentation result; and S4, in combination with geographic coordinate information of the remote sensing image, geocoding is performed on the segmentation result, and a thematic map containing the flood inundation range is generated. According to the method, the accuracy and efficiency of flood inundation range extraction are improved, and accurate distinguishing between a water body and a non-water body and rapid obtaining of inundation range changes are achieved.

The invention provides a road network ecological bearing capacity estimation method and system based on multi-source remote sensing data, and relates to the technical field of remote sensing technology and ecological evaluation. The method comprises the following steps: acquiring a multispectral remote sensing image and ecological system basic data for preprocessing; supervising and classifying the remote sensing image to extract linear ground feature pattern spots and construct a topological relation to obtain road network topological structure data; associating the historical traffic flow statistical data with the road network space and performing interpolation to generate day and night noise spatial and temporal distribution data; extracting habitat distribution data based on the habitat type thematic map and the historical field survey point of the species, and obtaining acoustic sensitive threshold data of the species in combination with behavior experiment records; according to the method, noise spatial-temporal distribution data and habitat distribution data are superposed, noise data in a habitat range are screened out, then the noise data are compared with an acoustic sensitive threshold pixel by pixel, the total area of pixels exceeding the threshold is counted to serve as a road network ecological interference index, and accurate estimation of road network ecological interference is achieved.

The invention relates to the technical field of urban hydrological simulation. The invention discloses an urban community surface ponding simulation method considering a roof structure, and the method comprises the steps: obtaining a regional multi-angle picture through an oblique photography unmanned plane, generating an oblique photography model through image processing, and reconstructing a digital surface model according to the oblique photography model; ground data are separated from the DSM through a PMF method, roof data are extracted in combination with building features, mask data are output, other ground features are removed, and building roof elevation grid data are obtained; calculating the gradient of the roof, dividing the gradient into flat and sloping roofs, building drainage structures into roof drainage models, integrating the roof drainage models with the urban community hydrological model considering the roofs, and running to realize surface ponding simulation. The method comprises the following steps: building a high-precision model through an oblique photography unmanned aerial vehicle and a GIS, separating ground data through a PMF, and accurately dividing a flat / slope roof through median filtering and an SVM; special drainage structures are arranged for the two types of roofs; and integrating the roof drainage model and a two-dimensional coupling hydrological model, and outputting an accumulated water thematic map.

The invention discloses an intelligent automatic drawing system and method, and relates to the technical field of agricultural remote sensing monitoring. The method comprises the following steps: acquiring a multi-temporal remote sensing image of a farmland area, performing preprocessing and spatial alignment, dividing the farmland into spatial units, extracting time sequence spectrum and vegetation index characteristics of the spatial units, and forming a visual characteristic vector sequence; analyzing the sequence by using unsupervised clustering, and automatically identifying the time sequence evolution trajectory categories representing different growth states; and finally, the system automatically marks the space units which are judged to be abnormal categories on a map, generates early warning and outputs a farmland abnormity thematic map. The system comprises a data preprocessing module, a data preprocessing module, a track classification module and an abnormal graph generation module. According to the invention, full-automatic and intelligent dynamic monitoring and abnormity identification of the farmland growth state are realized, the limitation of traditional single-temporal analysis or artificial visual interpretation is overcome, and the monitoring efficiency and objectivity are significantly improved.

The invention discloses a template design-based geochemical thematic map batch production method, which comprises the following steps of: acquiring geochemical data of a research area, determining a data symbolization scheme, a gridding strategy and a color gradation scheme based on spatial distribution characteristics of the geochemical data, a point location data graph, a point location symbol graph, a geochemical graph and a single element anomaly graph are made in batches; constructing a design template of the thematic map, wherein the design template comprises geographic elements used for describing geographic information and auxiliary elements used for describing visual parameter information; and applying the design template to the result map, carrying out logic association on the auxiliary elements and the geographic elements in the design template, and generating geochemical thematic maps of the research area in batches. According to the method, the normativity of the map is improved while the drawing efficiency is improved, the reconfigurability is good, and effective data management and multi-scale expression of data achievements are realized.

The invention provides an intelligent query method and device based on a thematic map, and relates to the technical field of artificial intelligence. And inputting the thematic map and the text query instruction into the multi-modal expert model to obtain a target query result output by the multi-modal expert model. According to the intelligent query method based on the thematic map, on the basis that the thematic map is accurately analyzed, comprehensive perception and analysis of the space environment are improved, and efficient and accurate thematic map query is achieved.

The invention relates to a method, a device, equipment and a computer program product for controlling a robot. The method includes acquiring a basic map indicating information of an environment where the robot is located and a thematic map indicating control attributes. The method further includes determining a value of a control attribute associated with the pose based on the pose of the robot and the thematic map. In addition, the method includes controlling the robot based on the base map and the value of the control attribute. In this way, the thematic map can have additional control attributes which are not possessed by the basic map, so that the robot can be controlled to execute various additional functions. When a new function is expanded, a new thematic map can be overlaid on the basis of the basic map without modifying the basic map, so that the complexity of expanding the new function can be reduced.

The invention discloses a vibro-replacement stone column composite foundation quality evaluation method based on an objective weight method. The method comprises the following steps: obtaining a multi-dimensional vibro-replacement gravel pile composite foundation quality evaluation influence factor; assigning the index weight of each influence factor based on a CRITIC weight assignment method; obtaining a normalized thematic map of each influence factor evaluation index based on a Kriging interpolation method; superposing the normalized thematic maps based on a GIS superposition coupling function to obtain a quality quantification index type partition evaluation map of the whole area of the composite foundation; and dividing and grading the quality quantitative index type partition evaluation graph, so as to perform partition evaluation on the quality of the vibro-replacement gravel pile composite foundation in the whole region. According to the method, all the influence factors are coupled in the same graph through a GIS superposition coupling function and are subjected to partition evaluation, the problem that the quality evaluation dimension is single is solved, all-region partition evaluation grading can be achieved, and the precision of foundation evaluation after processing is improved.

Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.

The invention relates to a power distribution network thematic map generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring archive information and topological data of each element in the power distribution network; according to a preset conversion mode, converting the archive information and the topological data of each element into a format for mapping to obtain mapping information of each element; in response to a thematic map generation request for the target thematic, screening out to-be-displayed information corresponding to the target thematic from the map formation information according to a preset screening condition corresponding to the target thematic; and generating a power distribution network thematic map corresponding to the target thematic according to the to-be-displayed information. The method can improve the power distribution network diagram generation efficiency.

The invention belongs to the technical field of mine geological disasters, and particularly relates to a coal mine area surface collapse damage degree evaluation and prediction method. According to the method, through field geological survey and data collection, a coal mining ground collapse land damage degree evaluation classification and grading standard is established, and the current situation of the ground collapse land damage degree of a mined working face is evaluated; carrying out statistics on drilling data in the surface collapse influence range of the mined working face, and establishing a Fisher discrimination model by taking the land damage degree of the surface collapse of the mined working face as a discrimination result; and finally, counting all drilling data of the mining area, applying the data to the established Fisher discrimination model, and predicting the damage degree of the mining area coal mining ground collapse land. A factor thematic map is established according to a GIS spatial analysis method, and a ground collapse land damage degree map is obtained according to a judgment prediction result, so that accurate and reliable quantitative prediction of the coal mining ground collapse land damage degree of a to-be-mined area of a coal mine area is realized.

The invention discloses an intelligent recommendation method and device for thematic map knowledge and electronic equipment, and relates to the technical field of thematic maps. The method comprises the following steps: constructing a multi-dimensional feature matrix according to multi-dimensional information of a thematic map; performing dynamic demand analysis on the target user according to the real-time interaction behavior data of the target user and the thematic map and the multi-dimensional feature matrix to obtain a real-time demand vector of the target user, matching each piece of knowledge in a preset knowledge base of the thematic map in combination with the multi-dimensional feature matrix to obtain a matching parameter of the target user for each piece of knowledge, and sending the matching parameter to the thematic map. And determining target knowledge and pushing the target knowledge. According to the method, traditional single-dimensional information is replaced by the multi-dimensional matrix, the matching degree of each piece of information in the knowledge base and the real-time demand of the user is dynamically judged through the multi-dimensional feature matrix, and the knowledge matched with the real-time demand of the user is screened out and pushed, so that the accuracy and diversity of thematic map knowledge recommendation are improved, and the user experience is improved. And the dynamic adaptability is enhanced.

The application discloses a kind of based on topology model's distribution network intelligent mapping modeling and analysis system and method, it is related to distribution network mapping technical field, modeling and analysis system, including data source module, for obtaining distribution network basic data;Data processing module is used to convert equipment model data and topological relation data into mapping connection relationship structure data, calculate equipment graph element size, station building pixel size and mapping canvas size, assemble distribution network equipment interval data;Determine the arrangement coordinate of equipment in canvas using force-directed layout algorithm;According to equipment topological correlation, assemble distribution network equipment interval data, calculate the arrangement distance of equipment in each interval;Realize the whole process automation of distribution network thematic map from data to mapping, greatly improve drawing efficiency and accuracy;Through force-directed layout and multiple optimization algorithm, generate layout reasonable, clear and easy-to-read graphics;Ensure the consistency and linkage of graphics and data source.

The invention discloses an inorganic nitrogen concentration inversion method, and belongs to the technical field of informatization management systems, and the method comprises the following steps: water quality data preprocessing, Sentinel-2 image preprocessing, data set generation, correlation analysis, inversion model establishment, inversion image generation, inversion image splicing and thematic map generation. The invention also discloses an inorganic nitrogen concentration inversion system. The system comprises a water quality data acquisition module, a water quality data processing module, a remote sensing image acquisition module, a remote sensing image processing module, a data set generation module, a correlation analysis module and an inversion module. The concentration of inorganic nitrogen in seawater is predicted through a remote sensing inversion technology, intelligent monitoring is achieved, consumed manpower and material resources are small, the monitoring range is wide, the monitoring frequency is high, and the problems that a traditional inorganic nitrogen monitoring mode needs to consume a large amount of manpower and material resources, and the monitoring range and the monitoring frequency are limited can be solved.

This invention provides a method, apparatus, and server for automatically generating primary wiring diagrams of substations, relating to the technical field of automatic mapping and layout calculation of power grid thematic maps. The method includes: acquiring equipment information and equipment topology connection information of a target substation; using the primary equipment information to determine the operating unit to which the target primary equipment belongs in the target substation, and using the operating unit to perform an overall layout of the target substation, obtaining a primary equipment layout diagram; using the secondary equipment information to perform a secondary layout of the target substation, obtaining a secondary equipment layout diagram; and using the equipment topology connection information to perform graphic stitching processing on the primary and secondary equipment layout diagrams, obtaining the target wiring diagram. This invention, by automatically generating primary wiring diagrams of substations, can significantly improve the generation efficiency of substation wiring diagrams and enhance the timeliness of graphic updates.

This application provides a multi-scale island and reef remote sensing image mosaic mapping method, which can be applied to the fields of geographic information science and remote sensing big data processing technology. The method includes: acquiring island and reef image files corresponding to each island and reef in a target area; the island and reef image files are high-resolution remote sensing images that have undergone cloud removal processing and are cropped according to a buffer distance, with the geometric center of the island and reef as the reference; based on the spatial display scale corresponding to the buffer distance, stitching together the island and reef image files of all islands and reefs in the target area to generate an image mosaic map; generating a vector index map that corresponds one-to-one with the geometric position of the image mosaic map, the vector index map containing island and reef identification information of the corresponding geometric position of the island and reef; and superimposing the vector index map onto a predetermined area of ​​the image mosaic map to generate a standardized island and reef thematic map of the target area. This application also provides a multi-scale island and reef remote sensing image mosaic mapping device, equipment, and storage medium.

The invention relates to the field of three-dimensional visualization, and discloses a three-dimensional profile thematic map generation method and system and a medium, and the method comprises the steps: importing geological drilling profile data, loading the profile data as a vector layer, then rendering the vector layer on a two-dimensional canvas, and exporting the two-dimensional canvas as a two-dimensional plane profile thematic map; creating a three-dimensional view by using Opencascade, and displaying the two-dimensional plane profile thematic map in a horizontal or vertical direction in a layered manner according to the relative position of the two-dimensional plane profile thematic map in a three-dimensional space under the three-dimensional view; integrating and packaging the two-dimensional plane profile thematic maps obtained by layering to form a complete three-dimensional profile thematic map; according to the method, profile data at different heights can be imported in batches, and profiles at different heights are displayed in a horizontal or vertical layered three-dimensional view form, so that internal structures at different heights can be compared. The display mode enables the spatial distribution and characteristics of the internal structure of the three-dimensional model to be more visual and easy to understand.

The invention provides an earthquake scene simulation system and method and computer equipment, and relates to the technical field of earthquake emergency. The system comprises a natural language interaction layer, a central scheduling module, a multi-source data fusion layer, a professional calculation layer and a visualization and decision support layer. The earthquake scene simulation system receives a natural language instruction based on a natural language interaction layer under the condition of earthquake scene simulation; the central scheduling module is used for sequentially sending trigger instructions to other levels of the system based on the structured instruction; the multi-source data fusion layer is used for querying seismic data and obtaining a unified seismic feature data set based on association integration of a knowledge graph; the professional calculation layer is used for generating a structured decision scheme and determining seismic intensity and seismic loss evaluation results; and the visualization and decision support layer is used for constructing a city-level three-dimensional scene and generating multi-class earthquake thematic maps. The system can improve scientificity and timeliness of earthquake disaster response decisions.

This invention discloses an automated fusion method and system for suspended sediment concentration from multi-source ocean color satellites, belonging to the field of marine remote sensing and geographic information processing technology. The method includes: S1, automatically identifying and reading the original satellite data file; S2, processing the quality labeling data to generate a comprehensive quality mask in one go, and marking invalid values ​​for the concentration data; S3, resampling all valid pixels onto a predefined regular geographic grid, calculating the cumulative concentration and pixel count of each grid cell to obtain the grid mean; S4, stacking multiple grid data from the same region and time window along the time axis, and performing spatiotemporal fusion using the median robust averaging method or the minimum value synthesis method; S5, automatically generating a standard raster file and a thematic map containing geographic features and embellishment information based on the fused data. This invention solves the problems of fragmented processing, low efficiency, and insufficient accuracy in existing technologies.

The invention relates to the technical field of oil drilling and production measurement, in particular to a vegetation condition monitoring method and device based on an unmanned aerial vehicle, and the method comprises the steps: obtaining an image data set of a target region based on the unmanned aerial vehicle; constructing a digital grid image of the target area according to the image data set; and extracting vegetation information in the digital grid image. A large number of pre-drilling engineering land images shot by an unmanned aerial vehicle are collected and matched and spliced to generate a digital grid image of the pre-drilling engineering land, then vegetation information in the digital grid image is extracted through an object-oriented classification method, and a vegetation classification thematic map of the pre-drilling engineering land is generated. According to the method, all-dimensional and multi-scale basic geographic space data are provided, all-dimensional data support is provided for vegetation condition monitoring of the pre-drilling engineering land, the accuracy and timeliness of vegetation condition monitoring are guaranteed, and estimation of the vegetation carbon sequestration loss amount of the pre-drilling engineering is met.