33 results about "Ground survey" patented technology

The invention provides a mangrove forest degradation type and reason identification method and system based on remote sensing and a multi-factor index system. The method comprises the following steps: firstly, integrating a multi-temporal remote sensing image, ecological monitoring data and ground survey data, and constructing a systematic degradation factor index system covering natural, climate, biological and human factors; secondly, extracting typical degradation characteristics such as vegetation coverage decline and species composition change by using a remote sensing change detection technology and a principal component analysis method; then, through K-means clustering, an ecological classification algorithm based on rules and an ecological threshold standard, mangrove forest degradation types are identified and classified, and the types comprise a man-made interference type, a biological erosion type, a natural succession type and a multi-factor coupling type; then, adopting a supervised machine learning model and combining a feature importance evaluation method such as a Shapley value to identify a degradation cause and a weight thereof; and finally, verifying the precision of the model through an on-site monitoring quadrat and an expert interpretation result, and outputting visual results such as a degradation type distribution diagram, a factor contribution distribution diagram and the like.

The invention relates to the technical field of wetland data monitoring, and discloses a coastal wetland carbon reserve dynamic monitoring method based on time sequence remote sensing, which comprises the following steps: collecting the vegetation condition of a coastal wetland, speculating the carbon reserve of the coastal wetland, judging whether the carbon reserve is abnormal or not, and correspondingly adjusting a detection scheme. According to the coastal wetland carbon reserve dynamic monitoring method based on time sequence remote sensing, multiple methods such as remote sensing monitoring, ground survey and laboratory analysis are comprehensively considered, the comprehensiveness and accuracy of carbon reserve monitoring are ensured, the comparison threshold is dynamically adjusted through two-time judgment in combination with historical data and a verification conclusion, and the carbon reserve monitoring accuracy is improved. The method adapts to carbon reserve change conditions of different sub-regions, forms a systematized monitoring process from region division to overall analysis, can effectively identify abnormal conditions in a target region, improves the reliability of carbon reserve assessment through comparison verification and collection verification, and improves the accuracy of carbon reserve assessment. And reliable data support is provided for subsequent monitoring and management.

The invention discloses a coastal zone nitrogen and phosphorus reduction effect evaluation method, which comprises the following steps: acquiring multispectral image data and a digital surface model, and acquiring actual gradient, altitude and long-term hydrological dynamic data through ground actual measurement, sampling and investigation; extracting core parameters, correcting a digital surface model by utilizing ground actual measurement altitude data, constructing a target coastal zone precise digital elevation model, determining a gradient and dividing a gradient interval, and identifying a target coastal zone type and a planting / slope protection combined structure by combining multispectral image data, ground survey data and the digital surface model; obtaining a nitrogen and phosphorus reduction reference value according to the core parameters, extracting a rainfall intensity correction coefficient and a water level amplitude correction coefficient in combination with hydrological dynamic data, and calculating a final nitrogen and phosphorus reduction proportion; and spatial visualization is carried out, so that efficient, accurate and standardized evaluation of the nitrogen and phosphorus reduction effect of the coastal zone is realized, and a scientific basis is provided for design, optimization and effect inspection of ecological restoration engineering of the coastal zone.

To provide a site information management system capable of accurately grasping the construction status at a site by a work machine for carrying out ground survey, ground work, foundation work, etc., even from a remote location without substantial time delay. [Solution] The system includes a construction management device (20), a gateway (40), a cloud server (10) that stores ground information for the site, and a viewing terminal (60) connected to the cloud server (10). The construction management device (20) sequentially generates text-format transmission data related to the operating status of a work machine (200), sequentially generates on-site construction status data based on the ground information for the site acquired from the cloud server (10) and the transmission data, and displays the construction status at the site. The cloud server (10) sequentially generates construction status data for viewing based on the ground information for the site and the transmission data acquired from the construction management device (20) via the gateway (40). The viewing terminal (60) displays the construction status at the site based on the construction status data for viewing.

The invention discloses a high-position landslide identification method based on cooperation of multi-source remote sensing and ground survey, and belongs to the technical field of geological disaster monitoring and identification. Comprising the following steps: constructing a multi-source information basic data set; generating deformation characteristic data representing a deformation activity state; environment characteristic data representing landslide forming conditions are constructed; screening landslide candidate areas which simultaneously meet the deformation activity criterion and the landslide formation condition criterion; performing comprehensive feature analysis and type discrimination on the landslide candidate region to obtain a landslide identification conclusion and corresponding uncertainty information; determining a ground survey checking scheme according to the uncertainty information and executing the ground survey checking scheme; if yes, taking the landslide identification conclusion as a final result, and outputting a corresponding landslide type and uncertainty information; and if not, correcting the landslide identification conclusion according to the check result, updating the uncertainty information, taking the corrected conclusion as a final result, and outputting the corresponding landslide type and the updated uncertainty information.

The invention provides a natural ecosystem investigation method. The natural ecosystem investigation method comprises the following steps: S1, acquiring a high-resolution remote sensing image and DEM data, and dividing ecosystem types; s2, typical ecological problems of the ecological system are determined, sample plot design and sample plot dynamic arrangement are carried out, investigation points are arranged in a sample plot, and sampling analysis is carried out; and S3, performing data analysis according to the plaque partition map, the sample plot location map and the remote sensing image map. According to the dynamic survey method combining quadrat / transect and sampling point actual ground survey, the mutual verification of ground, remote sensing and model data is realized by combining a satellite remote sensing and model simulation technology with multiple data sources, typical / important ecological problem partitions in a watershed ecosystem range are found out and verified, and a watershed ecological system is established. Support is provided for design and implementation of the ecological engineering project, and a data index basis is provided for acceptance of the ecological engineering project.

The application relates to the technical field of G01C11 / 00, in particular to a surveying information data collection method and a storage medium. The surveying information data collection method comprises the following steps: S1. using a flight device to carry a position module and a camera module, acquiring ground surveying image information by shooting through the camera module; and S2. editing and storing region range position information through a setting module, transmitting the region range position information to the flight device through an information transmission module, and starting the camera module to shoot images in the region range. Through the surveying information data collection method and system, the position data information of specific surveying can be fed back to the flight device, and surveying images of specific position regions can be acquired.

The invention relates to the field of data analysis, in particular to a plough layer salt and alkali conditioning optimization method based on soybean response, and the method comprises the steps: obtaining a sample point original prediction error sequence through calculating the original prediction error of a sparse ground exploration sample point; the method comprises the following steps of: performing joint weighting on geographic space proximity and surface feature similarity to obtain a spatial residual propagation factor; performing principal component analysis on multi-dimensional surface soil attributes of a grid neighborhood to obtain grid unit local feature heterogeneity assessment; carrying out correlation analysis on a sample point error absolute value and local feature heterogeneity and modulating a spatial residual propagation factor to obtain a yield prediction value of a grid unit; position correction and response enumeration evaluation are carried out on the candidate conditioning doses to obtain the optimal conditioning doses of the grid units, so that the problems of yield prediction distortion and variable prescription mismatching caused by the fact that high-density surface remote sensing and sparse deep sampling points are difficult to fuse are solved.

The utility model belongs to the technical field of building ground measurement, and particularly relates to a large-area ground flatness measuring device which comprises a main body, and a mounting seat is fixedly mounted at the bottom of the main body; a measuring mechanism is fixedly mounted at the bottom of the mounting seat; wherein the measuring mechanism comprises a measuring assembly, and one side of the measuring assembly is fixedly provided with a positioning assembly; the measuring assembly comprises a fixing seat and a connecting arm, a support is fixedly installed at the bottom of the fixing seat, the connecting arm drives the detection wheel to be hinged to the support, a connecting rod is hinged to one end of the connecting arm, and the top of the connecting rod abuts against the pressure sensor. According to the utility model, the mounting seat is mounted at the bottom of the main body, and the connecting flanges are arranged at the two sides of the mounting seat, so that extension splicing can be carried out, the measuring device is suitable for large-area ground flatness detection, and meanwhile, the positioning mechanism is arranged to spray paint and position a position with a measurement problem, so that subsequent finishing is facilitated.

The present application relates to the technical field of ecological restoration, and more particularly to a caragana laying ecological restoration method based on remote sensing and intelligent monitoring. The method comprises the following steps: obtaining multispectral remote sensing images and ground survey data of the target grassland, and extracting vegetation coverage, soil erosion intensity and surface roughness; evaluating the degradation degree of the target grassland according to the vegetation coverage, soil erosion intensity and surface roughness, and determining the grassland degradation zoning map; determining the caragana laying parameters based on the grassland degradation zoning map; leveling and cleaning the target grassland; laying caragana on the pretreated target grassland surface according to the caragana laying parameters, and collecting monitoring images of the laying area in the target grassland by using a UAV at a preset period. The present application can accurately identify the degradation level and spatial difference of the grassland, thereby providing scientific and reasonable parameter settings for caragana laying, significantly improving the pertinence and effectiveness of the restoration measures, and optimizing the resource utilization efficiency.

The application belongs to the technical field of geodetic survey and geophysical exploration, and discloses a multi-frequency multi-mode GNSS transoceanic height transfer and global height datum unification method, which comprises the following steps: 1, deploying multi-frequency multi-mode GNSS receivers at multiple local leveling / gravity joint survey points, and synchronously carrying out GNSS static observation; 2, acquiring satellite precise clock orbit products; 3, calculating the gravitational potential of the position where the satellite is located; 4, solving the elevation of the ground survey point by means of a model for determining the gravitational potential and the elevation based on single-station undifferenced multi-frequency multi-mode GNSS signals; 5, cyclically executing steps 1-4 to acquire the elevations of various transoceanic observation points; 6, obtaining the height difference between two different transoceanic survey points through difference operation; and 7, determining the height datum difference between the two different transoceanic survey points based on the least square method, so as to realize the unification of the transoceanic different height datum. The application solves the long-standing problem of transoceanic and transsea height transfer, and realizes the unification of global height datum.

The invention belongs to the field of uranium prospecting technical methods, and particularly relates to a roll-shaped uranium deposit prospecting method, which comprises the following steps of: (1) collecting basic geological information of a uranium metallogenic ground in a working area through geological survey; (2) establishing a working area deep space geologic structure by using a geophysical measurement technology method; (3) carrying out hydrogeological survey, and establishing a hydraulic connection between a surface water system and each stratum sand body; (4) establishing a uranium metallogenic basic geological condition analysis model, and predicting the uranium metallogenic potential of the working area; and (5) carrying out drilling verification, tracing and controlling the front line of the interlayer oxidation zone, and discovering and positioning the rolled uranium ore body. According to the method, the prospecting of the roll-shaped uranium ore deposit is decomposed into five links of ground survey, geophysical survey, hydrogeological survey, basic geological condition analysis and drilling verification, so that the technical problem that the existing prospecting exploration working technical method is relatively single is solved.

The invention discloses a three-dimensional geological exploration and data integration system and method based on multi-technology collaboration, and relates to the technical field of geological exploration, a detailed exploration scheme is formulated on a unified data management platform, and the aerial survey range of an unmanned aerial vehicle, the arrangement position and depth of a drill hole, a geological radar and a seismic exploration line, and a gravity / magnetic method exploration area are determined. Determining parameter setting (such as drilling sampling interval and geological radar detection frequency) of each exploration device, generating an exploration task list and distributing the exploration task list to each field exploration team; a multi-technology cooperative exploration system (intelligent drilling, underground detection, aviation exploration and ground exploration) realizes'surface-underground-air 'omnibearing data coverage, the lithology identification accuracy is improved to 92% from 75% in the prior art, and the mineral resource estimation error is controlled to be within 8% from 20% or above. The problems of missed detection and misjudgment (such as precise recognition of hidden faults and deep ore bodies) of a traditional single technology are effectively avoided.

This invention discloses an intelligent extraction and assessment method for ecological factors of musk deer habitat based on multi-source image fusion, belonging to the field of ecological remote sensing monitoring and intelligent assessment technology. It addresses the problems of inconsistent multi-source extraction of ecological factors and insufficient reliability of suitability assessment results for musk deer habitat. The method acquires optical remote sensing images, radar remote sensing images, UAV images, topographic data, meteorological data, vector geographic data, and ground survey data within the assessment area. After unified preprocessing, ecological factors such as vegetation, topography, water resources, climate, land cover, and human disturbance are extracted. Then, through multi-source fusion, sample matching, suitability probability calculation, key factor extraction, and result verification and correction, the suitability level of musk deer habitat and the contribution of ecological factors are obtained.

A ground survey system (1) includes: at least one ground survey device (10) disposed in the interior of an underground space (41); and an information processing device (20). The ground survey device (10) includes at least one first detector (11) and at least one second detector (12) arranged at a distance from each other to detect cosmic ray muons. The information processing device (20) comprises a control unit (22). The control unit (22) counts the number of muons arriving from the direction connecting the first detector and the second detector by having the first detector (11) and the second detector (12) detect muons substantially simultaneously. The ground survey system (1) detects muons with the ground survey device (10) disposed at a plurality of positions in the underground space (41) simultaneously or in succession, which is achieved by disposing a plurality of the ground survey device (10) and / or by taking measurements while moving the ground survey device (10).

The embodiment of the present application discloses a kind of method and device for determining magnetic distribution information based on multi-platform magnetic force data.The method comprises: obtaining the magnetic force data measured by at least two measuring platforms on the area to be explored;Wherein, the measuring platform includes aerial survey platform, ground survey platform and drilling survey platform;Based on the magnetic force data corresponding to the area to be explored and the preset parameters to be inverted, a target function is constructed;Wherein, the unknown parameters are added to the target function as the parameters to be inverted, and the parameters to be inverted include at least one preset base point difference parameter and the magnetic parameters to be determined;The base point difference parameter is used to adjust the reference gap between different magnetic force data in the target function;Determine the parameter value corresponding to the magnetic parameters to be determined in the target function, and determine the magnetic distribution information generated by the magnetic body contained in the area to be explored based on the parameter value.The technical scheme of the embodiment of the present application can improve the accuracy of magnetic distribution information.

The invention relates to the technical field of remote sensing, in particular to a leaf life inversion method based on a PROSAIL model, which performs minimum mean square error matching in combination with a remote sensing observation spectrum, can quantitatively estimate the average leaf life of pixels on regional and time sequence scales, provides important input for carbon income and expenditure simulation of an ecological system, and has a good application prospect. By introducing the functional character of the leaf life, the spatial and temporal distribution and the change rule of the canopy leaf age structure can be described. Compared with a traditional ground survey method, the method has the advantages that the leaf life information can be obtained on the regional scale and the long-time sequence, the space coverage and the time continuity of leaf age structure detection are greatly improved, and new key input is provided for ecological system age structure, carbon cycle model parameterization and vegetation restoring force analysis.

The utility model provides a kind of measuring device for highway reconnaissance design belongs to road surveying equipment technical field.The utility model embodiment provides the measuring device for highway reconnaissance design, including staff component, drill, direct current motor, power component and support and adjusting mechanism, by rotating and setting drill in the end of staff component, direct current motor and the power component of power supply to direct current motor are built-in in the inside of staff component, when needing to insert staff component into the soil of ground survey point, only need to insert drill into the soil of ground survey point, then start direct current motor, make drill automatic drilling into the soil of ground survey point by direct current motor drive drill rotation, simultaneously, drill drives staff component to insert into the preset position in ground soil, so as not to need to insert staff component into the ground survey point by measurement personnel manually, save work time and improve measurement efficiency, can greatly reduce the labor intensity of measurement personnel, not easy to cause measurement personnel to appear fatigue.

This invention relates to the field of ecological environment monitoring and carbon cycle assessment technology, and discloses a forest carbon sink prediction method based on spatial heterogeneity decoupling and hierarchical distributed autoregressive meta-learning fusion. The method first integrates ground survey data, remote sensing temporal features, meteorological driving factors, topographic factors, and soil attribute data to construct a multi-source heterogeneous feature system. Then, it decouples and models different categories of features, and divides ecologically homogeneous clusters based on a self-organizing map neural network. For each ecological cluster, it constructs an independent nonlinear autoregressive model for distributed prediction. Based on this, a meta-learning fusion model is constructed, and the outputs of each distributed model are dynamically weighted and biased to obtain the predicted forest vegetation carbon density, and the forest vegetation carbon storage and annual carbon sink are calculated. This method can effectively handle spatial heterogeneity and temporal lag effects, constructs a progressive error convergence structure, and improves the accuracy, stability, and cross-regional generalization ability of forest carbon sink prediction.

The present application relates to the field of data analysis, and more particularly to a plough layer saline-alkali conditioning optimization method based on soybean response, which comprises: obtaining a sample original prediction error sequence by calculating the original prediction error of sparse ground survey samples; obtaining a spatial residual propagation factor by jointly weighting geographical spatial proximity and surface feature similarity; obtaining a grid cell local feature heterogeneity evaluation by performing principal component analysis on the multi-dimensional surface soil properties of the grid neighborhood; and obtaining a yield prediction value of the grid cell by performing correlation analysis on the absolute value of the sample error and the local feature heterogeneity and modulating the spatial residual propagation factor; and obtaining the optimal conditioning dose of the grid cell by performing position correction and response enumeration evaluation on the candidate conditioning dose, thereby solving the problem of yield prediction distortion and variable prescription mismatch caused by the difficulty in fusing high-density surface remote sensing and sparse deep-layer samples.

The utility model relates to the technical field of environment monitoring, in particular to a forest land saline-alkali stress monitoring device based on an unmanned aerial vehicle, which comprises an unmanned aerial vehicle main body, a control assembly is arranged in the unmanned aerial vehicle main body, a three-axis holder assembly is arranged at the lower end of the unmanned aerial vehicle main body, and the lower end of the three-axis holder assembly is in butt joint with a mounting cylinder. The three-axis holder assembly is arranged below the machine body, a butt joint end is arranged at the end, away from the three-axis holder assembly, of the installation cylinder, a soil acid-base sensor is installed in the butt joint end in a matched mode, and the soil acid-base sensor is electrically connected with the control assembly. The three-axis holder assembly is provided with the camera module and the soil acid-base sensor, soil monitoring based on the unmanned aerial vehicle is achieved, the monitoring mode is flexible, and compared with existing ground survey and remote sensing monitoring, more accurate soil monitoring can be achieved on the premise of reducing manpower.

To provide a suppression system allowing potential risk that ground exploration with a ground exploration machine is intentionally performed at a position different from a planned exploration position to be reduced.SOLUTION: A suppression system 1 of a ground exploration position falsification is provided with: a first GPS antenna 62 detachably formed on a rod of an exploration body 3 of a ground exploration machine 2; a first position calculation unit 67 for calculating a position of a first GPS based on a GPS signal received through the first GPS antenna; a second GPS antenna 52 provided in a housing of a controller 4 of the ground exploration machine 2; and a second position calculation unit 57 for calculating a position of a second GPS based on a GPS signal received through the second GPS antenna.SELECTED DRAWING: Figure 4

The utility model relates to the technical field of gradient measurement, and discloses a gradiometer for coal mine geometry, which comprises a gradiometer main body, a side edge plate is clamped on one side of the gradiometer main body, a bottom edge plate is clamped at the bottom end of the gradiometer main body, and bayonets are arranged on two sides of the bottom end of the side edge plate and two sides of one end of the bottom edge plate. The top ends of the side edge plates and the other end of the bottom edge plate are fixedly connected with inserting pieces, locking assemblies are installed at the positions, corresponding to the four bayonets, of the bottom of the gradiometer body, a scale rotating wheel is arranged on one side of the top of the gradiometer body, and a stop assembly is installed at the position, close to the scale rotating wheel, of the front side of the gradiometer body. According to the gradiometer, the right-angle side of the gradiometer can be independently detached and replaced after being abraded, the cost consumption is reduced, and the locking assembly is arranged, so that slope reading deviation caused by mistakenly touching the scale rotating wheel during measurement is avoided.

The utility model provides an early warning device, and belongs to the field of coal mine geological survey water prevention and control. An early warning device comprises a fixing assembly, a sliding assembly, a floating assembly and four inserting assemblies are arranged on the fixing assembly in a sliding fit mode, four inserting strips are arranged on the fixing assembly in a rotating and sliding fit mode, the four inserting strips are all arranged to be in rotating fit with the sliding assembly, and a plurality of first elastic pieces are fixedly installed on the four inserting strips. A shell is fixedly installed on the fixing assembly, a sliding plate is arranged in the shell in a sliding fit mode, a power source and a plurality of alarm assemblies are fixedly installed, and a first pressing touch switch is fixedly installed on the sliding plate. Through the arrangement of the insertion strip and the insertion assembly, the device can be inserted into the ground, and due to the fact that the device can be inserted into the ground, the device is not prone to toppling over when being soaked in water and impacted by flowing, and the device is not prone to toppling over and is more stable when used.

The invention belongs to the field of degraded grassland restoration evaluation research, and discloses a degraded grassland restoration evaluation research method based on multivariate remote sensing data, and the method comprises the steps: carrying out the observation through employing a FragMap unmanned aerial vehicle aerial photography analysis system, and carrying out the preprocessing through employing Pixel Base Management Classifier software; collecting grassland above-ground biomass data; acquiring and preprocessing remote sensing data; constructing a grassland coverage and aboveground biomass remote sensing estimation model, and performing precision verification; analyzing grassland coverage and biomass space difference before and after restoration of the degraded grassland; and analyzing space-time dynamic changes of grassland coverage and biomass. According to the method, a high-temporal-spatial-resolution NDVI data set of a research area is constructed by combining a high-temporal-spatial-resolution data fusion algorithm, a grassland coverage and aboveground biomass remote sensing estimation model is constructed by combining ground survey and unmanned aerial vehicle aerial photography, and the grassland coverage and aboveground biomass change conditions before and after a degraded grassland restoration measure is implemented are systematically evaluated. And the restoration effects of different restoration measures on the degraded grassland are evaluated.

The invention relates to the field of multi-source data analysis, in particular to a land resource asset checking method and system based on multi-source data analysis. The method comprises the steps that boundary data and checking rules are acquired, asset unit segmentation and data source capability matching are carried out, and acquisition configuration is generated; ground survey data and historical data are collected according to configuration, coordinate and timestamp unified processing is carried out, and a multi-source fragment evidence packet is generated; constructing geometric, time sequence and semantic consistency vectors based on the evidence packet to form a consistency conflict graph structure; and finally, through fusion of constraint rule loading and evidence priority ranking, a closed-loop collection session configuration is generated to realize continuous checking. According to the invention, through consistency fusion and conflict graph analysis of multi-source data, the automatic processing capability, traceability and decision reliability of the checking result are significantly improved.

The invention relates to the technical field of ecological restoration, in particular to a caragana microphylla laying ecological restoration method based on remote sensing and intelligent monitoring. The method comprises the following steps: acquiring a multispectral remote sensing image and ground survey data of a target grassland, and extracting vegetation coverage, soil wind erosion intensity and surface roughness; evaluating the degradation degree of the target grassland according to the vegetation coverage, the soil wind erosion intensity and the surface roughness, and determining a grassland degradation partition map; caragana microphylla laying parameters are determined based on the grassland degradation partition map; leveling and cleaning the target grassland; laying caragana microphylla on the surface of the preprocessed target grassland according to the caragana microphylla laying parameters, and collecting a monitoring image of a laying area in the target grassland according to a preset period by using the unmanned aerial vehicle. The grassland degradation grade and spatial difference can be accurately identified, so that scientific and reasonable parameter setting is provided for caragana microphylla laying, the pertinence and effectiveness of restoration measures are remarkably improved, and the resource utilization efficiency is optimized.

The present application relates to the field of telemetry technology, in particular to a method for obtaining cotton boll index and estimating cotton yield by using unmanned aerial vehicle remote sensing image. The present application proposes a more reasonable method to realize clear yield estimation, including the following three parts: 1, developing an index that can intuitively reflect the characteristics of cotton bolls. 2, using threshold segmentation method to extract cotton boll information according to ground survey data. 3, considering cotton boll information for cotton yield estimation test. The present application aims to develop a new spectral index, which emphasizes the spectral characteristics of cotton bolls, in order to improve the accuracy of yield modeling. The index deeply considers the spectral difference between cotton bolls and other field targets, which can support the use of simple models to realize yield estimation, or as an input layer to participate in deep learning models to realize cotton yield estimation.

This seabed ground survey system comprises: a device that holds a weight at a predetermined height from the seabed and that separates and drops the weight by remote control; and a vibration receiver that is disposed in the vicinity of the device and measures the vibration of the seabed.

The application discloses a kind of based on unmanned aerial vehicle image artificial forest thinning operation design method, belong to artificial forest thinning operation design method field.The present application first collects target area unmanned aerial vehicle image and reconstructs image generation DOM and DSM data, then using computer image processing method is carried out single tree recognition and crown information extraction, then calculate unit grid forest attribute and carry out hot spot analysis, finally determine thinning area and thinning intensity.Adopt this method to carry out artificial forest thinning operation design, have three aspects of advantages:(1) make up the deficiency of traditional ground survey in the whole range single tree coordinate and stand spatial information;(2) grid subdivision is carried out to whole forest, the spatial heterogeneity in stand is fully considered, and the fine level of thinning design is improved;(3) provide the priority order determination scheme of tree thinning, reduce the subjectivity of thinning process, improve the scientific nature of object wood selection.