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43 results about "Tree canopy" patented technology

In biology, the canopy is the aboveground portion of a plant community or crop, formed by the collection of individual plant crowns. In forest ecology, canopy also refers to the upper layer or habitat zone, formed by mature tree crowns and including other biological organisms (epiphytes, lianas, arboreal animals, etc.).

Method for extracting point cloud data of tree height based on space three-dimensional template

The invention relates to a method for extracting point cloud data of tree height based on a space three-dimensional template, which comprises the following steps: classifying original point cloud data to generate a digital elevation model (DEM), a digital surface model (DSM) and a tree canopy model (CHM) of a domain to be extracted; respectively computing the related coefficients of subdomains ofthe CHM and the template by introducing the space three-dimensional template; then marking the subdomains meeting requirements by utilizing a threshold distinguishing method; and finally performing adjacent superposition analysis in the marked candidate domain and merging the adjacent domains with over-high overlapping degree to generate tree height information. When ensuring the extracting precision of tree heights, the method effectively solves the problem of tree height judgment ambiguity of adjacent domains so that the extracted tree height information has higher quality and larger practical value, wherein the problem of tree height judgment ambiguity is caused by the phenomenon of tree superposition.
Owner:WUHAN UNIV

Method for measuring tree canopy height through satellite remote sensing

The invention discloses a method for measuring the tree canopy height through satellite remote sensing, wherein the method has the advantages of being wide in coverage range, short in data obtaining period and low in data obtaining cost. The method is realized through the following calculation scheme: extracting target forest regions in different directions from an overlapping region in acquired satellite three-dimensional relative image data by adopting a deep neural network model and an object-oriented remote sensing image classification technology; obtaining satellite stereo relative image data and a ground control point file of a target forest area according to the satellite stereo relative image data and the target forest area extracted by superposing an RPB file and the ground control point file; calculating canopy structure characteristic parameters of the target forest area, and generating a digital surface model DSM and a digital elevation model DEM of the target forest area; and in combination with image calculation of raster data, subtracting the obtained digital elevation model from the obtained digital surface model to obtain a canopy height DHM, and calculating the tree canopy height from a three-dimensional angle to realize measurement of the tree canopy height.
Owner:四川天奥空天信息技术有限公司

System and method for unmanned aerial vehicle-based magnetic survey

There are approximately 35,000 abandoned and unplugged oil and gas wells in New York with no known location. Unplugged wells emit methane, a strong greenhouse gas, which has the potential to significantly contribute to global climate change and act as a pollutant chemical. A long-range UAV equipped with methane sensors, MagPike (atomic magnetometer), and LiDAR sensors successfully detected unmarked well sites using characteristic magnetic signals generated by vertical metal piping preserved in the ground. The optimal flight altitude and transect spacing was determined for detection driven by the total field strength of the Earth's magnetic field and the height of tree canopies determined by LiDAR. Traditional methods of identifying oil and gas wells are costly and less powerful in acquisition of data such as using large magnetometers attached to helicopters.
Owner:THE RES FOUND OF STATE UNIV OF NEW YORK

Computer vision systems and methods for geospatial property feature detection and extraction from digital images

Systems and methods for property feature detection and extraction using digital images. The image sources could include aerial imagery, satellite imagery, ground-based imagery, imagery taken from unmanned aerial vehicles (UAVs), mobile device imagery, etc. The detected geometric property features could include tree canopy, pools and other bodies of water, concrete flatwork, landscaping classifications (gravel, grass, concrete, asphalt, etc.), trampolines, property structural features (structures, buildings, pergolas, gazebos, terraces, retaining walls, and fences), and sports courts. The system can automatically extract these features from images and can then project them into world coordinates relative to a known surface in world coordinates (e.g., from a digital terrain model).
Owner:GEOMNI INC

Picking point detection model construction method and picking point positioning method based on machine vision

The invention discloses a picking point detection model construction method and a picking point positioning method based on machine vision, and belongs to the technical field of artificial intelligence detection. Collecting a multi-angle RGB image and a depth image of a picking target, generating a first point cloud set of the picking target through visual angle mapping, and cooperating with the first point cloud set as a training set; a three-dimensional reconstruction method is adopted to reconstruct a second point cloud set of a picking body tree canopy in real time to cooperate as a verification set and a test set, and a picking point detection model Alpha-VoteNet is trained. During picking, a third point cloud set of a picking object tree canopy layer is subjected to three-dimensional reconstruction in real time by adopting a three-dimensional reconstruction method, picking area marking frames of all picking targets of the picking object tree canopy layer are obtained by utilizing the picking point detection model, and the bottom surface center is calculated according to the top points of the bottom surfaces of the marking frames to obtain the three-dimensional coordinates of the picking points. The method overcomes the problems that in a traditional method, three-dimensional information of a picking target cannot be obtained, and the recognition precision is not high due to obstacle shielding, and has the advantages of being high in detection precision, high in recognition speed, high in generalization ability and the like.
Owner:ANHUI AGRICULTURAL UNIVERSITY

Tree canopy thickness detection method based on ultrasonic echo signals

The invention relates to a tree canopy thickness detection method based on ultrasonic echo signals, and belongs to the technical field of agricultural machinery information sensing detection. According to the method, the first effective wave crest and the last effective wave crest of the ultrasonic echo signal are analyzed and judged, the first effective wave crest time and the last effective wavecrest time are obtained, and the tree canopy thickness is obtained according to the provided calculation formula, so that direct detection of the tree canopy thickness is realized. The method has thecharacteristics of high precision, wide application range and the like, and is suitable for the field of tree canopy thickness detection in the industries of agricultural machinery, forestry machinery and the like.
Owner:JIANGSU UNIV

Profiling variable sprayer based on phenotypic characteristics of crowns, and self-adaptive control method

The invention discloses a profiling variable sprayer based on phenotypic characteristics of crowns, and a self-adaptive control method. The profiling variable sprayer comprises a profiling mechanism module A, a profiling mechanism module B, a lifting and sliding module, a profiling bracket module, a liquid supply system, an electrical box and a detection module; on the basis of function and mechanism division of the profiling sprayer, modular and lightweight design is adopted; and the whole machine has the characteristics of being compact in structure, light, flexible, easy to manufacture andmaintain and the like. The self-adaptive control method of the profiling variable sprayer is as follows: ultrasonic echo signals are automatically acquired and processed, so that phenotypic characteristic information of a tree canopy is obtained; then, the air volume is calculated according to the volume of the canopy and phenotypic characteristic parameters of the canopy density; and the spray quantity is calculated according to the volume of the canopy and the phenotypic characteristic parameters of the canopy leaf area density. A profiling mechanism is driven to profile according to the profiling control amount calculated through ultrasonic ranging information; automatic profiling on the profile of a crown is realized; and the profiling variable sprayer is high in profiling precision, precise and high-efficiency to spray, pesticide-saving, environment-friendly, and simple and convenient to operate.
Owner:NANJING FORESTRY UNIV

Forest carbon flux metering system and method

PendingCN111257505AGood for widespread applicationRepresents the spatio-temporal distribution characteristicsGas analyser construction detailsWireless dataData acquisition
The invention discloses a forest carbon flux metering system and method. The system comprises a data processing terminal and a data acquisition device, wherein the data acquisition device comprises awireless data forwarding module and a plurality of data acquisition modules located at different heights in a tree canopy, the data acquisition module comprises a temperature sensor, a humidity sensor, an illumination sensor, a carbon dioxide sensor and a wireless communication module, the wireless communication module is electrically connected with the temperature sensor, the humidity sensor, theillumination sensor and the carbon dioxide sensor, the wireless communication module is wirelessly connected with the wireless data forwarding module through a wireless network, and the wireless dataforwarding module is wirelessly connected with the data processing terminal through the wireless network. The system is advantaged in that the data acquisition modules are arranged at different canopy positions of a forest to acquire temperature data, humidity data, illumination data and CO2 concentration data, a carbon flux value in the measurement area is calculated, and the space-time distribution characteristics of the carbon flux in the measurement area can be well expressed.
Owner:ZHEJIANG FORESTRY UNIVERSITY

Stable regression method for remote sensing individual tree canopy and forest diameter

The invention provides a stable regression method for a remote sensing individual tree canopy and a forest diameter, and belongs to the technical field of the computer program and measurement. The method comprises the following steps: obtaining relevant data of the canopy and the forest diameter; establishing a stable regression model; carrying out an iterative determination on a stable regression model parameter of the individual tree canopy and the forest diameter. In a typical north east mid-temperature zone coniferous and broad-leaved mixed forest, based on extracting an individual tree canopy image of the high spatial resolution, by utilizing the Huber, an M- estimation method is proposed for solving the 'defect' that the traditional least square method is over sensitive for the data of the 'abnormal point', and the stable regression model of a remote sensing image individual tree canopy and the forest diameter is successfully established. The weighting factor distribution of an objective function is introduced through the M- estimation method, so that the 'defect' of the equivalent weighting of various samples (including the abnormal point) in the traditional least square method is changed. A menu program module of the stable regression model has the independence, the completeness, and the good portability.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY

System and method for a global digital elevation model

According to various embodiments, a neural network for performing vertical error regression analysis is disclosed. The neural network includes an input layer including input data related to a target pixel, a target location, a slope at the target location, population density at the target location, tree canopy height at the target location, vegetation density at the target location, and an Ice, Cloud, and Land Satellite (ICESat) differential map at the target location. The neural network further includes a plurality of hidden layers connected to the input layer, where the plurality of hidden layers is configured to iteratively analyze the input data. The neural network also includes an output layer connected to the plurality of hidden layers, where the output layer is configured to output a predicted vertical error based on the analysis of the input data.
Owner:CLIMATE CENT

System and method for harvesting fruit

A three-dimensional stereo vision camera communicates the location of a targeted fruit (preferably an apple) to a controller. The controller directs a vacuum selection tube to the location of the targeted apple. The selection tube has a gripping orifice that has a smaller diameter than the apple so that the vacuum suction from the selection tube grips the apple. The selected fruit is then rotated and pulled away from the tree canopy by the selection tube until the apple detaches from the canopy. The detached apple is then gently placed in a collection bin for later sorting and processing.
Owner:US SEC AGRI +1

Profiling variable spraying machine based on crown phenotypic characteristics and profiling control method

The invention discloses a profiling variable spraying machine based on crown phenotypic characteristics and a profiling control method. The profiling variable spraying machine comprises a profiling mechanism module A, a profiling mechanism module B, a lifting sliding module, a profiling support module, a liquid supply system, an electric box and a detection module. On the basis of function and mechanism division of the profiling variable spraying machine, modular and lightweight design is adopted, and the whole machine has the advantages of being compact in structure, light, flexible, easy tomanufacture and maintain and the like. The self-adaptive profiling control method of the profiling variable sprayer comprises the steps that ultrasonic echo signals are automatically collected and processed to obtain tree canopy phenotypic characteristic information, and then the spraying amount is calculated according to canopy volume and canopy leaf area density phenotypic characteristic parameters; the profiling control quantity is calculated through the ultrasonic ranging information, the profiling mechanism is driven to conduct profiling, automatic profiling of the crown outline is achieved, the profiling precision is high, spraying is accurate and efficient, pesticide is saved, the environment is protected, and operation is easy and convenient.
Owner:NANJING FORESTRY UNIV

Irrigation bag and bag assembly for irrigation of primarily fully-grown, mature and veteran trees and method of tree irrigation

Irrigation bag for irrigation of primarily fully-grown, mature and collection trees, which contains at least one non-pressurized filling opening (3) and / or at least one filling opening (4) with pressure filling fitting, and it also contains in the lower part simple openings (21) for discharging liquid and / or waterproof seams and / or dripper (22) and / or connecting piece (23) with dripping hose connection (24), and the volume of the bag is up to 4000 litres. Irrigation bag assembly, where at least one bag (1) contains at least one non-pressurized filling opening (3) and / or at least one filling opening (4) with pressure filling fitting, and the bags (1) are connected via a connecting hose (51) connected with openings (4) and / or connected with connecting elements (5). Tree irrigation method using bags or bag assembly where the bag (1) or bag assembly (1) is placed as close to the tree canopy dripline (103) at least partly on permeable subsoil (104).
Owner:TUSER MARTIN +1

Watershed canopy automatic segmentation method combined with forest region three-dimensional morphological filtering

The invention discloses a watershed canopy automatic segmentation method combined with forest region three-dimensional morphological filtering. The method comprises the steps of adopting topographic information and vegetation information to construct a three-dimensional morphological filtering operator; according to the three-dimensional morphological filtering operator, performing mask processingon the forest region multispectral image, and extracting a region of interest; constructing an open-close combination form filtering operator according to the forest region sample plot information, and performing operation on the region of interest to obtain a forest region significant optimization canopy map; extracting a gradient operator according to the significant optimization canopy graph,and generating a mark graph; and carrying out automatic segmentation on the mark map through a mark watershed segmentation algorithm to obtain a segmented forest area single-tree canopy structure. Themethod can effectively solve the problems of high labor intensity, hard working conditions, low efficiency, high routing inspection data error rate and the like when tree investigation is carried outthrough manual routing inspection under a traditional power transmission line channel; and the problem of fuzzy boundaries between different canopy layers is effectively solved, the closed single-tree canopy layer contour is obtained through segmentation, and the power line patrol efficiency can be greatly improved.
Owner:BEIJING FORESTRY UNIVERSITY

A rapid extraction method for the height of tree obstacles in power grid transmission lines

ActiveCN113989670BGood application effectSolve the problem of high extraction accuracy out of controlData processing applicationsScene recognitionPoint cloudSatellite image
The invention discloses a method for quickly extracting the height of tree obstacles in power grid transmission lines, which adopts sub-meter high-resolution optical stereo image and RPC files, combined with high-precision control points collected on the ground, and extracts high-precision surface DSM and points through processing. Cloud data; on this basis, the filter classification technology is used to classify the point cloud data, and the ground points in the classification result are corrected by integrating the features of the ground objects in the satellite image, and the DEM is generated by interpolation; finally, the spatial difference based on DSM and DEM is established. The model's tree canopy height extraction method is used to verify the accuracy of the method through field collection points. The invention solves the problem that the height extraction precision is out of control due to DEM in the original spatial difference calculation model.
Owner:北京四象爱数科技有限公司

A Tree Crown Extraction Method Based on UAV Multi-source Remote Sensing

The invention discloses a tree crown extraction method based on multi-source remote sensing of UAV, which includes obtaining visible light image and laser radar point cloud, taking the visible light orthophoto image of UAV and laser radar point cloud as data sources, adopting watershed segmentation and oriented The method of combining object multi-scale segmentation to extract single tree canopy information under different canopy density. First, the object-oriented multi-scale segmentation method is used to extract the canopy and non-canopy areas of UAV visible light images, and the canopy distribution range is extracted using the canopy area as a mask; Based on the CHM constructed by UAV lidar, the watershed segmentation method is used to obtain the preliminary segmentation results of the single tree canopy; based on the canopy boundary of the watershed segmentation, and the brightness value of the visible light orthophoto image is characterized, the canopy area of ​​the visible light orthophoto image is binary. Subdivided to obtain the optimized single tree canopy boundary information, which greatly increases the accuracy of remote sensing canopy extraction.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY

DBI tree vertex detection method for airborne lidar point cloud data chm

The invention relates to the field of laser radar data processing, discloses a DBI tree vertex detection method for a canopy height model of airborne laser radar point cloud data, and invents a method for detecting a tree vertex based on a DBI control foreground pixel of a canopy height canopy model , including: 1. Standardize the marker pixel generation conditions of the canopy height model; 2. Use the gray level change characteristics of the height canopy model to filter and eliminate pseudo foreground pixels; 3. Introduce the similarity judgment factor DBI to filter the tree canopy with DBI-K vertex. The invention provides a tree top position detection method for a canopy height model of airborne lidar point cloud data, which can effectively solve the threshold dependence problem of the traditional window detection tree top method and improve the recognition accuracy of the tree top.
Owner:GUILIN UNIVERSITY OF TECHNOLOGY

Point cloud tree monomer segmentation method and device, electronic equipment and storage medium

The invention provides a point cloud tree monomer segmentation method and device, electronic equipment and a storage medium. The method comprises the following steps: dividing original tree point cloud data into a first point set and a second point set according to a preset height, wherein the z coordinate value of a point in the first point set is greater than the preset height, and the z coordinate value of a point in the second point set is smaller than the preset height; processing the second point set by adopting a preset clustering algorithm to obtain n clustering point sets; and comparing the first points in each clustering point set with the points in the first point set, and dividing the points in the first point set according to a comparison result to obtain n target segmentation results. Through the above steps, the points on the tree trunk can be firstly aggregated and classified, and then the point cloud data of the tree canopy is segmented according to the clustering set of the points on the tree trunk, so that the growth characteristics of the tree can be fully adapted, the classification of the points is accurate enough, and the result of point cloud tree monomer segmentation is more accurate.
Owner:GUANGDONG SOUTH DIGITAL TECH

A method for obtaining forest canopy parameters of plantation forests using two-dimensional images

The invention discloses a method for obtaining forest canopy parameters of artificial forests by using two-dimensional images, which is suitable for the investigation of artificial forest resources and belongs to the technical field of photogrammetry in forestry applications. The key technical points include: 1. Extracting the tree point cloud model Useful information; 2. Use a specific method to extract information about the relative relationship between trees; 3. Use a specific estimation method to calculate the tree canopy parameters in the target area. The key problems to be solved include: 1. Only need to take pictures of the forest land to obtain the sample plot information, reduce the workload of the ground survey and improve the survey efficiency; 2. Solve the problem that close-range photogrammetry cannot obtain high-density forest environment forest canopy due to the occlusion of forest branches and leaves information problem. The invention is suitable for plantations in high-density forest environments, and it is the first time to use the method of combining photogrammetry technology and crown width estimation method to extract single-tree canopy information of high-density forest environment plantation forests. The results can provide basic data basis for rapid and accurate investigation of plantation forest resources.
Owner:BEIJING FORESTRY UNIVERSITY

A secondary docking cultivation method for preventing and controlling passion fruit stem rot

The invention discloses a secondary inarching cultivation method for controlling passion fruit stem base rot. The method comprises the following steps of (1) selection of an anti-stem base rot virus-free grafting seedling, (2) selection of an inarching variety, (3) soil preparation and ground under tree canopy arrangement, (4) planting, (5) vine guiding, pinching and topping, (6) primary inarching, (7) secondary inarching and (8) cutting of a stem base rot occurrence part. Influences of the passion fruit stem base rot can be controlled; three anti-stem base rot main branches provide nutrientsfor each fruit-bearing plant, the plant growth is promoted significantly, the yield is improved, if one branch is infected with the stem base rot, the stem of the infected part needs to be timely cutoff, the planted plant can be ensured not to die due to infection of the stem base rot within one year, the purposes of high quality, high efficiency and high yield of passion fruits can be realized,and the practical significance in production is achieved.
Owner:GUANGXI ZHUANG AUTONOMOUS REGION ACAD OF AGRI SCI

Tree canopy spray collection and treatment system and method

ActiveCN111650101BImprove the accuracy of evaluation analysisAvoid inaccurate measurement analysisProgramme control in sequence/logic controllersMaterial analysisEngineeringMechanical engineering
The embodiment of the invention discloses a tree canopy spray collecting and processing system and method. The system comprises a spraying monitoring device, at least two fog drop collecting devices and a server; the spraying monitoring device is configured to send a fog drop collecting starting instruction to the fog drop collecting devices if it is monitored that spraying operation equipment reaches a target spraying area of a target tree canopy to start spraying operation; the fog drop collecting devices are configured to respond to the fog drop collecting starting instruction and effectively collect fog drops at the corresponding canopy part, and shooting to obtain a target fog drop image under the condition that fog drop collecting is stopped; and the server is configured to analyze the deposition coverage rate and the deposition density of the fog drops in the target fog drop image, determine the effective fog drop collecting duration of the fog drop collecting devices at the corresponding canopy part, and determine the unit time deposition coverage rate and the unit time deposition density of the corresponding canopy part for evaluating the spraying effect of the target treecanopy. By the adoption of the scheme, effective fog drops can be collected at all canopy positions, and inaccurate measurement and analysis caused by too many collected fog drops are avoided.
Owner:NANJING AGRI MECHANIZATION INST MIN OF AGRI

Profile variable sprayer and adaptive control method based on plant canopy phenotype

The invention discloses a profiling variable sprayer based on plant canopy phenotype and an adaptive control method. The profiling variable sprayer includes a profiling mechanism module A, a profiling mechanism module B, a lifting and sliding module, a profiling bracket module, Liquid supply system, electrical box and detection module; on the basis of dividing the function and mechanism of the profiling sprayer, it adopts a modular and lightweight design. The whole machine has the characteristics of compact structure, lightness and flexibility, easy manufacture and easy maintenance. . The adaptive control method of the profiling variable sprayer automatically collects the ultrasonic echo signal and processes it to obtain the characteristic information of the tree canopy, and then calculates the air volume according to the canopy volume and canopy density phenotype characteristic parameters, The spray volume is calculated by the leaf area density phenotypic characteristic parameters; the profiling control amount calculated by the ultrasonic distance measurement information drives the profiling mechanism to profil, and realizes the automatic profiling of the crown contour, with high profiling accuracy, accurate and efficient spraying, Save medicine and environmental protection, easy to operate.
Owner:NANJING FORESTRY UNIV

An air-assisted orchard spraying device

The invention discloses an air-assisted orchard spraying device, which comprises a plurality of spray heads, a blower and a liquid medicine tank; all the spray heads are arranged in an orderly manner; each spray head has an air chamber and Atomizer; the air chamber and the atomizer are respectively connected to the blower and the liquid medicine tank, and a liquid delivery pump is connected between the liquid medicine tank and the atomizer; the atomizer The atomizer is placed inside the air chamber, and the direction of the mist outlet of the atomizer is consistent with the direction of the air outlet of the air chamber. The air-assisted orchard spraying device of the present invention is provided with an air-assisted spray head and a blower, so that the airflow provided by the blower can engulf the medicine mist and spray through the spray head, so that the medicine mist can be sprayed to a higher crown sprayer. The powerful airflow of the nozzle blows the mist to all parts of the plant canopy. The airflow helps to increase the range of the orchard sprayer, assists the mist to penetrate the dense canopy, and promotes the turning of the leaves to increase the attachment rate of the leaves.
Owner:NANJING FORESTRY UNIV

Red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agronomic knowledge

The invention discloses a red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agronomic knowledge, wherein the method comprises the steps: distinguishing canopies of different levels, carrying out distinguishing through labels, and reminding a worker through remarks on the labels, so as to prevent the worker from deviating when inputting data; meanwhile, calculating the optimal vertical distribution state of canopy leaf nitrogen at different levels, so as to effectively improve the production strength; and distinguishing the data after agronomic knowledge analysis, integrating the data belonging to vertical distribution of leaf nitrogen of different levels of canopies, and making the integrated data into a statistical chart which can be intuitively expressed, such as a broken line chart or a histogram and the like.
Owner:TARIM UNIV

Tree number measuring device based on visible light remote sensing of unmanned aerial vehicle and measuring method of tree number measuring device

PendingCN114092730AAutomate statistical calculationsEasy to cleanImage enhancementImage analysisForest industryImaging quality
The invention discloses a tree number measuring device based on unmanned aerial vehicle visible light remote sensing and a measuring method of the tree number measuring device. The device comprises an unmanned aerial vehicle body and a ground control terminal. According to the method, a forest image obtained based on unmanned aerial vehicle visible light remote sensing is taken as data, automatic statistical calculation of the number of forest trees is realized, channel selection, balance processing and smoothing processing are performed on the forest image, the forest image cleaning degree is improved, and the problem of low image quality can be eliminated; through carrying out image transformation, image segmentation and tree canopy center point position extraction on the forest image, the problem that the tree canopy spacing in the image is too small is solved, the effect of accurately measuring the number of trees is achieved, the problems that a traditional radar or satellite remote sensing measurement mode is high in cost, low in efficiency, low in timeliness and high in cost and labor consumption are solved, the requirements of modern forestry development can be met, and effective help is provided for dynamic monitoring of forest succession, quantitative analysis of forest structures and biomass estimation.
Owner:四川省自然资源科学研究院

An air-ground integrated mangrove monitoring system and control method

The invention belongs to the technical field of monitoring systems, and discloses an air-ground integrated mangrove monitoring system and a control method, which obtain high-resolution aerial images of statistical target areas through unmanned aerial vehicles or other aerial photography means, and analyze the structural distribution of mangroves; Collect hydrological and meteorological environmental factors to conduct meteorological and hydrological detection in the area; according to the data detected in step 1, open the image with high-resolution image tree crown extraction software for processing, and compare it with the original image to determine the number of mangroves; detect according to step 1 Combined with image spectrum and texture features, the pest status of mangroves is estimated; statistical system sampling principle is used to count the species of mangroves in a single area, and according to the number of detected animal species, the overall mangroves The type of action in the woods is evaluated to derive the type of animal. The invention adopts remote sensing information technology to monitor mangroves and transmit information, thereby improving the quality and efficiency of monitoring.
Owner:海南省林业科学研究所

Forest single tree height estimation method based on lidar point cloud and synchronous remote sensing images

The invention relates to a method for estimating the height of a single tree in a forest by combining LiDAR point clouds and synchronous remote sensing images: obtaining low-density airborne LiDAR point cloud data and synchronous high-resolution aerial remote sensing images in forest areas. By mosaicing and orthorectifying the synchronous aerial remote sensing images of the target area, the digital orthophoto map DOM of the target area is obtained; the single tree canopy position, canopy boundary information and single tree canopy information are obtained from the digital orthophoto map; The airborne LiDAR point cloud data is processed, combined with the obtained single tree canopy information to obtain the point cloud data corresponding to the single tree canopy; based on the above results, a three-dimensional tree height model is constructed; according to the number of laser points in the single tree canopy is greater than 1 , equal to 1 and no laser point to optimize and reconstruct the three-dimensional tree model, so as to calculate the height value of the corresponding forest canopy vertex. Raise the tree height estimation level to the single tree level, and effectively improve the accuracy of forest stand single tree height estimation.
Owner:FUZHOU UNIV

A method for accurate extraction of tree canopy temperature based on infrared thermal images

The invention discloses a method for precisely extracting tree canopy temperature based on infrared thermal images. The method comprises the following steps: detecting and obtaining infrared thermal image data of a tree to be detected; extracting all pixel point temperature values in the infrared thermal image data; according to the pixel point temperature values, converting infrared thermal images from color images into grayscale images; according to canopy structure features, determining area range of an irregular tree canopy through corresponding area shapes; and within the area range of the tree canopy, and according to gray values in the grayscale images, extracting corresponding number of pixel points, and obtaining distribution state of the tree canopy temperature. The method can reduce interference of redundant data, especially interference of soil background, and the extracted pixel points can accurately reflect the tree canopy temperature. Therefore, the method for preciselyextracting tree canopy temperature based on the infrared thermal images can accurately extract the tree canopy temperature.
Owner:INST OF FORESTRY CHINESE ACAD OF FORESTRY

A small-scale landscape tree canopy dust removal equipment

The invention discloses small landscape tree crown dust removing equipment. The small landscape tree crown dust removing equipment comprises a dust removing box. A dust removing cavity with a downwardopening is formed in the dust removing box. An annular wrapping airbag is fixedly arranged on the inner wall of the dust removing cavity. The left side of the wrapping airbag is higher than the lowerside of the wrapping airbag. An annular cavity is formed in the dust removing box and communicates with a dust collector through a communicating pipe. The dust collector is activated to inflate the wrapping airbag so as to wrap a trunk. By means of the small landscape tree crown dust removing equipment, a tree crown of a landscape tree can be wrapped. Air can be blown to the crown to separate dust accumulated on leaves from the leaves, and the dust separated from the leaves is absorbed by a dust suction mechanism, so that the dust on the crown can be cleaned. When the dust is large in quantity and difficult to clean, after dust cleaning is completed by the small landscape tree crown dust removing equipment, the crown can be washed with a small amount of water, and the water is guided intoa flowerpot so as to be utilized and prevented from sputtering all around.
Owner:ANHUI LINHAI LANDSCAPING CO LTD
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