220 results about "Natural resource" patented technology

The invention relates to the technical field of natural resource monitoring and spatial information processing, in particular to a method and a system for feeding back land utilization change based on a land spatio-temporal model. The method comprises the following steps: deploying multi-source land monitoring equipment, carrying out collaborative data acquisition and standardization processing, and constructing a land space-time reference data set; performing triple mapping on the land space-time reference data set to obtain a land semantic association graph; constructing a land utilization knowledge graph based on the land semantic association graph; constructing a land change detection initial model by using the land utilization knowledge graph; meanwhile, in a high-frequency change scene, such as an urban and rural ecologic zone or an ecological sensitive area, a traditional model is slow in response to short-term land utilization disturbance, automatic adjustment cannot be carried out through deviation feedback between historical errors and model output, and the reliability of the model in actual application scenes such as resource regulation and control is limited.

The invention discloses a multi-dimensional natural resource intelligent monitoring method and system based on big data analysis, and relates to the technical field of resource monitoring, and the method comprises the steps: calculating the information sharing degree between different data streams, constructing an abnormal feature credibility distribution map, and carrying out the calculation of the abnormal feature credibility distribution map; and inputting the abnormal feature credibility distribution graph and the multi-source auxiliary information into an integrated classifier, carrying out joint analysis and comprehensive research and judgment on multi-dimensional information to output a target list, constructing an event response relation graph reflecting a monitoring task priority and an execution logic relation according to the attribute features of each element in the target list, and carrying out event response analysis on the monitoring task priority and the execution logic relation. Wherein each node represents a to-be-monitored target, an edge represents a dependency relationship between tasks, and an optimal monitoring execution path is planned for various intelligent monitoring carriers by using an improved A algorithm integrated with a multi-factor cost function. Through natural resource monitoring of multi-modal data interference correction, intelligent classification and path optimization and dynamic response, the monitoring quality and the execution efficiency are effectively improved.

The invention discloses a real-time multi-dimensional sensitivity evaluation and self-adaptive safety prevention and control method and system for natural resource geographic information. The method comprises the following steps: acquiring real-time natural resource geographic information data; obtaining a preset behavior graph model; updating a preset behavior graph model according to the real-time natural resource geographic information data so as to obtain an updated behavior graph model; acquiring an updated node risk vector according to the updated behavior graph model; obtaining a trained Bayesian risk prediction model; inputting the updated node risk vector into a trained Bayesian risk prediction model so as to obtain a real-time abnormal behavior identification result; and generating a personalized prevention and control strategy scheme according to the real-time abnormal behavior recognition result. According to the method, intelligent identification, dynamic evaluation and active protection of natural resource geographic information in a full life cycle are realized by constructing a multi-dimensional sensitivity quantitative model, a dynamic risk perception mechanism based on a graph structure and a safety prevention and control strategy capable of being updated in real time.

The invention discloses a natural resource investigation monitoring system based on artificial intelligence, and the system comprises a data sensing layer which carries out the whole space-time coverage monitoring of mountain field water resources through a multi-source remote sensing device and an edge calculation node; automatically adjusting the weight of each data source by adopting a dynamic weight multi-modal fusion algorithm; according to the data fusion layer, original data, a processing flow and a model result are encrypted and stored through block chain nodes, data conflicts are detected through a graph neural network, and conflict marks are generated in combination with policy rules; verifying data consistency by a dynamic conflict detection algorithm; according to the intelligent analysis layer, natural resource, forest grass and water conservancy departments locally train exclusive models, and a knowledge-driven reasoning module generates analysis results in combination with geographic knowledge maps and policy rules. According to the application service layer, a three-dimensional space-time model integrates remote sensing data, an Internet of Things sensor and GIS information, the consistency of analysis results and policies is automatically verified through a rule engine, and law enforcement suggestions are generated.

The invention discloses an intelligent fusion processing method and system for forest and grass wet resource pattern spots and annual land change survey data, and belongs to the field of space-time big data in the natural resource industry, and the method comprises the steps: completing the pattern layer fusion based on the annual land change survey data in combination with forest and grass wet pattern spot survey results; superposing county and rural boundaries to form an administrative fusion layer; performing subcompartment division based on the remote sensing image; merging broken classes according to a principle of adjacent positions and similar types; eliminating a pattern spot sharp angle; land classes are refined, and attribute information is perfected; the public welfare forest range and the protection level are optimized; automatically checking and summarizing to form a result layer; and finally performing statistics to generate various thematic reports. According to the method, technologies such as database storage, spatial index construction and a fusion algorithm are adopted, the data processing efficiency is improved by more than 50%, and the sharp angle processing time is shortened; and the labor cost and the time investment are obviously reduced.

The invention provides a blue carbon market adaptive accounting method based on multi-source data and Bayesian updating, and belongs to the technical field of natural resource planning and ecological management. The method comprises the following steps: firstly, constructing a standardized multi-source fusion data set through a systematic process, and then preprocessing collected data to generate a standardized blue carbon multi-source fusion data set; then, through a Bayesian-based carbon reserve estimation model, outputting a monitoring point carbon reserve prior value, fusing a monitoring point carbon reserve mean value with a spatial prior value, and updating monitoring point carbon reserve distribution; and finally, constructing a carbon credit risk index system, calculating risk indexes of the plot layer and the region layer, updating a plot layer carbon reserve mean value by using the updated monitoring point carbon reserve distribution, and generating a blue carbon project reference transaction price according to the carbon reserve mean value and the risk indexes. According to the invention, a full-chain blue carbon intelligent accounting system is constructed, and interdisciplinary fusion of an ecological model, deep learning and a carbon market mechanism is realized.

The invention discloses a natural resource geographic information collection method and system, and belongs to the technical field of geographic information collection, and the method comprises the steps: obtaining natural resource geographic information data, and carrying out the data preprocessing of the multispectral image data in the data; optical abnormal data in the preprocessed multispectral image data are marked, meanwhile, ground abnormal data in ground survey fixed-point measurement data are marked, and geospatial alignment is carried out; identifying a highly overlapped region in the geographic space, and automatically attributing and judging an abnormal mode in the highly overlapped region as being caused by a specific unrecorded environment event; and adding an environmental event influence mark to the attributed natural resource geographic information data, wherein the environmental event influence mark is used for indicating the physical cause of the natural resource geographic information data exception. According to the method and the device, numerical value change relevance caused by the same physical cause in different natural resource geographic data types can be identified, and wrong geographic information interpretation results caused by data inconsistency in subsequent analysis are avoided.

The invention discloses a natural resource data security management method, and relates to the field of natural resource data security management, and the method comprises the steps: obtaining a target field set requested to be accessed by a user and knowledge graph data, traversing fields, and querying graph association nodes to generate an extended field set; then calculating a conduction risk value of a field pair formed by any two fields in the extension set, if a risk mean value of all the field pairs reaches an evolution threshold value, screening out a high-risk field pair, extracting common associated nodes connected with the high-risk field pair in the atlas, injecting the common associated nodes into the extension set, and carrying out loop iteration on the process until a termination condition is met; and finally, calculating a global risk entropy based on the risk values and sensitivity interference factors of all fields in the extension set, performing desensitization operation on the target field set, and synchronously updating the knowledge graph database. According to the method, the implicit sensitive information conduction risk in the natural resource data multi-field combination query can be dynamically identified and quantified.

The invention discloses a natural resource environment quality comprehensive evaluation method and system based on spatial distribution, and relates to the technical field of environment evaluation. The evaluation method comprises the steps of S1, determining an evaluation target and an evaluation range, S2, collecting and processing data, S3, constructing an evaluation index system, S4, implementing comprehensive evaluation, S5, establishing a dynamic weight adjustment mechanism, and S6, analyzing a result and formulating a strategy. The method is technically characterized in that a related mechanism of weight adjustment triggered by abnormal indexes is established, on one hand, the recognition and feedback capability of key problems is enhanced, and on the other hand, conversion of an evaluation system from static evaluation to dynamic response is promoted, so that the problems that traditional evaluation results are lagged and ecological environment changes cannot be reflected in time are solved, and the evaluation efficiency is improved. According to the method, the closed-loop regulation and control capability of dynamic adjustment and optimization is embodied, after a primary weight correction action is carried out, when a certain index deviates from a normal threshold value, a secondary weight correction program is automatically started, and the system weight of a criterion layer where the index is located is improved.

The invention discloses an intelligent land use monitoring system and method based on natural resources, and relates to the technical field of intelligent land use monitoring. The system comprises a multi-source data integration module, a risk source identification module, a risk quantification and early warning module and a dynamic monitoring and slow release module. The multi-source data integration module constructs a space-time reference grid, collects four types of data and establishes a four-dimensional incidence matrix through grid ID anchoring; the risk source identification module generates a violation inducement characteristic spectrum based on the matrix and determines a risk source type; the risk quantification and early warning module calculates an initial risk value and a diffusion probability, and generates a dynamic early warning map and a monitoring priority sequence; and the dynamic monitoring and slow-release module updates data and risk parameters in real time and outputs a slow-release prompt, so that accurate pre-judgment and dynamic supervision of land use risks are realized.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention relates to the technical field of data processing, and discloses a special checking method and system for key natural resource assets. The method comprises the following steps: performing three-dimensional identification on mineral data through a resource classification matrix to generate a key resource list; recognizing coordinates in different formats by using a regular expression to form a standardized coordinate set; carrying out coordinate batch conversion by adopting a convolutional neural network; performing neighborhood interpolation correction based on the coordinate offset; and carrying out coordinate precision verification and anomaly repair, and outputting a checking data set containing quality scores. The technical problem that an existing natural resource asset checking method lacks key resource intelligent identification, specific format coordinate automatic conversion and coordinate quality intelligent control is solved.

The invention provides a natural resource right confirmation registration information processing method, system and device, and relates to the technical field of geographic information processing, and the method comprises the steps: obtaining composite natural resource multi-source heterogeneous data across provincial administrative regions; performing coordinate reference unification and attribute structure standardization processing on the multi-source heterogeneous data to obtain a standardized data set with a unified space-time reference; recognizing and extracting a natural resource ownership space conflict region based on a standardized data set with a unified space-time reference; and according to the space conflict region, determining a topological intersection node of a trans-provincial enclave administrative jurisdiction and a natural resource type boundary, a dispute overlapping region mass center of a latest demarcation result of a historical forest authority record boundary and an ecological protection red line, and a feature region center of which a resource type is substantially changed before and after implementation of an ecological restoration project. According to the method, the boundary of the conflict area can be accurately defined, and the judgment efficiency and objectivity are improved.

The invention discloses a method and a system for quality inspection of change survey data. The method comprises the following steps of 1, performing format identification on the change survey data; 2, calling an improved MacBERT model to carry out error correction processing, and generating standardized data; 3, performing integrity check and authenticity check on the attachment file corresponding to the standardized data; 4, performing field-by-field comparison on the material verification data and the data model retrieved from the database to generate comparison data; 5, inputting the spatial features of the comparison data into a cross-modal topology adapter of the improved MacBERT model, and generating topology verification data; and step 6, recording quality inspection result information. The method is suitable for data standardization processing and topology compliance verification scenes in the fields of natural resources, urban and rural construction and the like.

The invention discloses a sky-base collaborative tower camera image high-precision positioning method, which comprises the following steps of: carrying out virtual squint projection on a satellite image based on a high-resolution satellite orthoimage of an area around a tower camera, and mapping the satellite image to a tower camera squint coordinate system; performing multi-scale phase fusion terrain enhancement feature extraction and cross-view matching on the satellite reference image and the tower camera image to obtain high-precision homonymy points and meter-scale control points; block adjustment and absolute positioning are carried out on a reference database image collected by a tower camera; and based on the positioned reference database, carrying out high-precision geographic positioning on the natural resource illegal behaviors. According to the method, high-precision positioning of the tower camera can be efficiently and automatically realized, the positioning efficiency of the tower camera image is remarkably improved, and protection of natural resources is facilitated.

The invention provides a provincial domain level remote sensing AI big data natural resource intelligent monitoring system. The system comprises a data acquisition module, a data processing module, an intelligent interpretation module, a result verification module, a management application module and a communication interface module. The intelligent interpretation module integrates Segform semantic segmentation and a BIT change detection model, large-scale parallel interpretation is achieved by combining Redis cache management, celery task scheduling and MySQL process control under a GPU cluster architecture, batch image interpretation in a provincial domain range can be completed in a day-level period, linkage of interior work recheck and field work check is established through the achievement verification module, and large-scale parallel interpretation is achieved. And the management application module realizes the dynamic updating, thematic storage and cross-department sharing of the result, can quickly generate a change pattern spot distribution map, a cultivated land non-agrochemical and non-grain statistical table and a law enforcement check result, greatly shortens the interpretation period, and meets the requirement of dynamic supervision.

The invention relates to the technical field of natural resource monitoring and evaluation, and discloses a natural resource dynamic monitoring and evaluation system based on multi-source spatio-temporal data fusion, comprising a semantic mapping module for analyzing a business document to generate a constraint rule and constructing a basic spatio-temporal tensor; the perception strategy module monitors state node evolution and generates an acquisition strategy instruction to drive an external sensor to obtain enhanced perception data; the state evolution module deduces an expected legal state sequence and reconstructs an actual physical state sequence in combination with enhanced perception data; the energy quality fingerprint module establishes nonlinear mapping by using the time sequence energy quality data, and calculates a fingerprint consistency index to verify the authenticity of a physical state; and the deviation risk module calculates a space-time semantic distance and a propagation risk value based on the topological network in combination with the consistency index, and generates a resource audit report. According to the invention, through event-driven active perception and cross-modal energy quality implicit verification, the problems of insufficient monitoring data space-time precision and difficult camouflage compliance identification are effectively solved.

This invention discloses an automated agricultural irrigation method and system based on the Internet of Things (IoT), relating to the field of agricultural irrigation technology. The method includes: real-time monitoring of the agricultural irrigation environment and acquisition of environmental and crop data; processing and analyzing the environmental and crop data to generate an irrigation strategy; generating control commands based on the irrigation strategy and controlling irrigation equipment to perform agricultural irrigation; acquiring and analyzing historical irrigation data to generate an adaptive strategy; and adaptively adjusting the irrigation strategy to optimize it. This invention improves agricultural irrigation efficiency and yield while reducing resource waste by acquiring and analyzing environmental and crop data to generate irrigation strategies; it also ensures data reliability and stability through network transmission using a combination of ZigBee and LoRaWAN technologies; and it guarantees the power supply for irrigation by employing an energy conversion system to convert natural resources into electrical energy.

The invention relates to the technical field of query methods, in particular to a mobile query method and system for planning natural resources, and the method comprises the following steps: loading a three-dimensional virtual earth model, and obtaining three-dimensional space position data of the natural resources; and based on progressive processing of high-dimensional position transformation, wavelet dimensionality reduction, non-linear heterogeneous mapping, multi-resolution optimization and dynamic feedback control, multi-level visual display of the natural resources under different resolutions is obtained so as to realize spatial position accurate mapping and dynamic real-time display of the natural resources, and through a high-dimensional position transformation algorithm, the spatial position of the natural resources can be accurately mapped and dynamically displayed in real time. Three-dimensional coordinate data of natural resources are mapped to a high-dimensional spherical coordinate space, and high-dimensional data are compressed to core low-dimensional features through a multi-scale wavelet dimension reduction algorithm, so that data simplification is realized on the basis of retaining key information; the heterogeneous mapping algorithm realizes smooth conversion from low-dimensional features to two-dimensional display, and a Laplace-Beltrami operator is utilized to ensure the smoothness of the display.

The present application relates to the field of natural resource investigation and geographic information processing, and discloses a multi-modal data fusion and ground object boundary identification processing method for field verification; current phase remote sensing images of a region to be verified, reference vector map patches, historical land attribute data, positioning trajectory data of a field verification terminal and a field photo collection correlation field template are acquired to construct a patch-level multi-modal basic data set; candidate ground object segmentation results and change area results are extracted to determine suspected problem patches; a boundary uncertainty band is generated for the boundary of the suspected problem patches and the to-be-verified boundary segments are divided; shooting guidance is triggered during the field verification process, field photos are collected, coarse registration and fine registration with local remote sensing images are completed; edge features of the field photos are back-projected to a map coordinate system to form a field confirmation boundary point set, the boundary of the suspected problem patches is corrected, verification confirmation patches are obtained, and patch-level verification evidence data is formed.

The invention discloses a natural resource knowledge service method based on a large language model. The method comprises the following steps: constructing a natural resource business knowledge base; performing vectorization processing on the constructed natural resource business knowledge base to obtain a vectorized natural resource business knowledge base; converting the vectorized natural resource business knowledge base into a natural resource business knowledge graph; training a ChatGLM large language model based on the vectorized natural resource business knowledge base and the natural resource business knowledge graph to obtain a natural resource knowledge question and answer model; carrying out vectorization processing on the input question and then inputting the question into the natural resource knowledge question and answer model; and the natural resource knowledge question and answer model outputs answers. According to the method, the defects of the prior art in the aspects of processing unstructured data in the field of natural resources, realizing accurate intelligent question answering and auxiliary decision making are overcome.

The invention discloses a method and device for recommending a canal project line selection scheme and electronic equipment, and relates to the field of canal project data processing.The method comprises the steps that multi-source geographic information of a target area to be subjected to canal project site selection is fused, and a basic geographic information framework is constructed based on the multi-source fusion information; performing geological stability assessment on different to-be-assessed sub-regions by using a fuzzy logic rule, marking unfavorable geological sections based on geological stability assessment results, preliminarily drawing up N canal route schemes, identifying a matching relationship between each preliminarily drawn-up canal route scheme and a natural resource constraint condition set, and determining the matching relationship between each preliminarily drawn-up canal route scheme and the natural resource constraint condition set; adjusting constraint conditions in the canal line; and comparing and selecting the multiple adjusted canal route schemes by adopting a multi-objective optimization model, and determining a recommended canal route scheme. The technical problems that in the prior art, in the long-distance canal engineering planning line selection process, influences of topography and geology exist, the workload is large, and the cost is high are solved.

The application discloses a natural resource field evidence collection task generation method and device, relates to the technical field of task generation, and is applied to an evidence collection scene visualization building platform. The evidence collection scene visualization building platform stores a preset evidence collection database and a preset template warehouse. The method comprises the following steps: responding to a building request of a user for a natural resource field evidence collection task; analyzing the building request, and determining to-be-generated evidence collection task information; querying corresponding evidence collection data from the preset evidence collection database according to the to-be-generated evidence collection task information; selecting a target task template from the preset template warehouse according to the evidence collection data; performing evidence collection task configuration on the target task template by using the evidence collection data, and generating the natural resource field evidence collection task. Through the automatic process, the generation efficiency of the natural resource field evidence collection task is improved, and the complexity and error rate of manual operation are reduced.

The application discloses a low-efficiency land dynamic monitoring management method based on real three-dimensional geographical entities, relates to the technical field of natural resource informatization management, and comprises the following steps: constructing a terrain mutation sensitivity atlas and a vertical risk guide grid, generating a weighted initial value field under the joint driving of an elevation gradient, a reflection intensity and an echo confidence, and forming vertical prior information of geographical entities; based on the vertical prior information of the geographical entities, performing spatiotemporal consistency forced registration, performing local elastic calibration on oblique photography images and laser point cloud data through a multi-scale rigid-flexible mixed constraint mechanism, and generating a vertical error field. Through the construction of the sensitivity atlas, the execution of rigid-flexible registration, the introduction of semantic reconstruction, the implementation of uncertainty propagation and dynamic resampling regulation and control, the vertical error closed-loop correction of the three-dimensional model under complex topography is realized, the accuracy and stability of low-efficiency land identification are improved, and high-credibility technical support is provided for urban space analysis and land decision-making.

The utility model discloses an intelligent natural resource monitoring platform, which belongs to the technical field of natural resource monitoring, and comprises a stand column used for installing a monitoring station, and a sound production assembly arranged on the monitoring station, used for producing sound and comprising two rotating plates rotatably arranged on the monitoring station, knocking balls arranged at the end parts of the rotating plates, and a sound transmission assembly arranged on the stand column, a vibration sheet movably contacted with the knocking ball is mounted on the monitoring table; the cleaning assembly is arranged on the monitoring table, is used for cleaning foreign matters on the surface of the monitoring table, and comprises a scraper slidably arranged on the monitoring table; and the driving assembly is arranged on the monitoring table and is used for driving the rotating plate to rotate and driving the scraper to slide, so that the monitoring accuracy of the monitoring table is effectively guaranteed, and foreign matters are prevented from appearing in the monitoring process to influence the monitoring result of the monitoring table.

The invention relates to the technical field of natural resource protection and ecological system management, and discloses a method and a system for constructing a three-dimensional dynamic model of forest grass wet and waste areas based on digital twinning, and the method comprises the steps: obtaining multispectral image data and environment readings of forest, grassland, wetland and desert areas; performing feature data primary processing to obtain vegetation coverage information and environment variable data; performing species distribution boundary labeling to obtain a species distribution boundary; performing pattern correlation analysis to obtain a preliminary relation matrix; if the association strength of the water level parameter and the desertification parameter in the preliminary relation matrix is higher than a preset strength threshold value, calculating a correction coefficient of the water level parameter and the desertification parameter; carrying out weight balance to obtain a balance relation matrix; time sequence deviation detection and stability verification are carried out, and an ecological change simulation framework is determined. According to the method, comprehensive analysis of complex ecological systems such as forests, grasslands, wetlands and deserts can be realized, and dynamic monitoring and protection are carried out.

The application relates to the field of natural resource monitoring, and discloses a natural resource intelligent monitoring device, which comprises a cabin body, a movable cover is installed at the bottom of the cabin body, an intermediate cover is slidably connected to the outer periphery of one end of the movable cover away from the cabin body, a base is fixed to one side of the intermediate cover away from the cabin body, a soil sensor is installed in the base, a plurality of supporting assemblies are arranged on the outer periphery of the base, a protection assembly is arranged on the left and right sides of the cabin body, two wind direction sensors are installed on the front side of the cabin body, a top cover is movably connected to the rear side of the cabin body, an energy source assembly is slidably connected to the inside of the cabin body, and a driving assembly is arranged in the cabin body. The energy source assembly prolongs the endurance time of the equipment. The solar panels adjust the angles through electric movable blocks, keep the best orientation, maximize the collection of solar energy, and ensure that the equipment continuously works for a long time.

The application belongs to the technical field of comprehensive management of saline-alkali land and circular agriculture, and particularly relates to a multi-stage circular agriculture system and method for saline-alkali land based on multi-stage resource utilization of saline-alkali water, which comprises the following steps: through the technical chain of terrace land reclamation, seawater-like regulation, reverse osmosis desalination, planting and breeding coupling and tail water circulation, efficient cyclic utilization of natural resources in the saline-alkali area is realized. The method mainly comprises the following steps: after the saline-alkali water in the saline-alkali area is detected, the saline-alkali water is extracted for seawater-like regulation, the regulated saline-alkali water is obtained, and then the saline-alkali water is desalinated through a reverse osmosis system, and fresh water and seawater-like water are obtained, which are used for crop planting and aquatic product breeding, respectively, and the breeding tail water is recycled after solid-liquid separation. The system and method have the advantages that the system does not need external supply of fresh water, is self-contained, achieves win-win of ecological benefit, social benefit and economic benefit, realizes green and sustainable development, and has universal popularization value for comprehensive development and utilization of saline-alkali land.

The invention, which relates to the technical field of the measuring equipment, discloses a height-rapidly-adjustable measuring device for natural resource planning, comprising a bottom plate, and the upper surface of the bottom plate is fixedly connected with a motor. Through mutual cooperation of the motor, the worm I, the worm gear I, the rotating shaft I, the bevel gear I and the bevel gear II, the rotating shaft II can be driven to rotate; then, under the mutual cooperation of a third electric hydraulic rod, a first sliding sleeve, a first guide block, a second guide block, a second worm, a second worm gear and a third rotating shaft, two corresponding first cams can be driven to rotate; then the corresponding circular bases can be driven to move in the vertical direction under the mutual cooperation of the arranged corresponding pushing plates, pushing rods and springs I, the leveling effect of the device can be achieved by sequentially adjusting the heights of the positions where the three circular bases are located, and the situation that the device is inclined in the measurement process is avoided; therefore, the measurement result is influenced.

The application belongs to the field of remote sensing image natural resource monitoring, and specifically discloses a non-agricultural remote sensing monitoring knowledge base efficient retrieval and auxiliary identification method and system, which comprises the following steps: processing of historical image and corresponding field photo data of natural resource ground surface elements and construction of a knowledge base; definition of deep feature descriptors and large-scale image feature description extraction; construction of a feature library hierarchical index based on feature similarity clustering; extraction of image feature descriptors to be retrieved; multi-level similarity measurement and N-neighbor interactive real-time retrieval; and real-time knowledge base information annotation to complete auxiliary identification of cultivated land non-agricultural difficult image. The application automatically constructs a knowledge base containing a large amount of natural resource images based on historical survey data, and constructs an efficient and accurate feature descriptor and hierarchical index structure, so as to help the workers to realize interactive real-time image retrieval and reliable difficult image identification, thereby significantly improving the effectiveness of cultivated land non-agricultural monitoring field verification work and realizing cost reduction and efficiency increase of wide-range ground surface natural resource periodic monitoring.