53 results about "Vegetation height" patented technology

A system and method for detecting an obstacle comprises determining a vegetation height of a vegetation canopy at corresponding coordinates within a field. An object height is detected, where the object height of a object exceeds the vegetation height. A range of the object is estimated. The range of the object may be references to a vehicle location, a reference location, or absolute coordinates. Dimensions associated with the object are estimated. An obstacle avoidance zone is established for the vehicle based on the estimated range and dimensions.

The disclosed terrain model is a generative, probabilistic approach to modeling terrain that exploits the 3D spatial structure inherent in outdoor domains and an array of noisy but abundant sensor data to simultaneously estimate ground height, vegetation height and classify obstacles and other areas of interest, even in dense non-penetrable vegetation. Joint inference of ground height, class height and class identity over the whole model results in more accurate estimation of each quantity. Vertical spatial constraints are imposed on voxels within a column via a hidden semi-Markov model. Horizontal spatial constraints are enforced on neighboring columns of voxels via two interacting Markov random fields and a latent variable. Because of the rules governing abstracts, this abstract should not be used to construe the claims.

A method of controlling application of a substance to vegetation using data obtained via a mobile machine is provided. A height of the vegetation is measured during a scheduled task of the mobile machine. The measured height of the vegetation is compared with a calculated height of the vegetation. Then, an amount of the substance applied by an irrigation system to an area containing the vegetation is adjusted based on a difference between the measured height of the vegetation and the calculated height of the vegetation.

The invention relates to application of microwave remote sensing in the field of forests and discloses a polarimetric synthetic aperture radar interferometry (POLInSAR) vegetation height inversion method based on complex field adjustment theory. The complex field adjustment theory and a physical model for POLInSAR vegetation height inversion are organically combined by the method. The method comprises the following steps of: I, performing registration on obtained complete polarization data of N scenes to obtain M baseline interference pairs; II, performing polarized interference on the M baseline interference pair to obtain M*P interference fringe patterns, and estimating corresponding complex coherences of the M*P interference fringe patterns; and III, working out a vegetation height hv based on complex field adjustment computation. The POLInSAR vegetation height inversion method based on the complex field adjustment theory is visual in principle, is easy to realize programming and extension, is a steady and feasible vegetation height inversion method, and can be widely applied to the POLInSAR technology to measure the vegetation height within a large-scale area and even a global scale.

The invention provides forest complex terrain correction and forest height inversion methods and systems with backscattering optimization. The terrain correction comprises: constructing a two-layer-structure coherent model aiming to polarized interference SAR images of a forest scene and according to the characteristics of two-layer scattering of the forest scene, and correcting parameter changes caused by the terrain; establishing a quantitative description relation between vegetation and the terrain with the combination of terrain simulation and vegetation simulation; and finally performing correction with the combination of the range-Doppler geometric correction mode and normalized radiation correction mode. The forest height inversion comprises bringing forward tree species diversity factors aiming to structures of different tree species and distribution difference, the vegetation heights of different tree species are respectively estimated, and the forest height inversion result of the whole forest scene is obtained. By adopting the methods and the systems, terrain effect analysis and compensation of forest complex scenes can be effectively realized; besides, the inversion precision of vegetation height is improved with the combination of the tree species diversity factors.

A method of controlling application of a substance to vegetation using data obtained via a mobile machine is provided. A height of the vegetation is measured during a scheduled task of the mobile machine. The measured height of the vegetation is compared with a calculated height of the vegetation. Then, an amount of the substance applied by an irrigation system to an area containing the vegetation is adjusted based on a difference between the measured height of the vegetation and the calculated height of the vegetation.

The invention relates to a method for acquiring man-made target information by a target parameter inverse model covered by a forest, which belongs to the field of microwave remote sensing. The method solves the problem that the prior PolInSAR image parameter inversion can only acquire target information of natural scene, and can not acquire man-made target related information. The method can acquire optimized coherent coefficient through performing polarized interfere coherent optimized processing on PolInSAR image data, utilize the known data to establish a scattering model of a man-made target covered by the forest, and acquire related parameters of natural target information and the man-made target information such as vegetation height, extinction coefficient, as well as phase, man-made target height and target amplitude ratio and so on which are related to terrain in the inputted PolInSAR image data through the model. The acquired information can provide basic data for further analysis on a researched area. The method widens the application range of the PolInSAR technology, and can be applied in the fields of forest ecologic parameter detection and man-made target detection.

The invention discloses an improved polarimetric interferometry SAR vegetation height combined inversion method. The method includes following steps: step 1, inputting a polarimetric interferometry SAR image, pre-processing the image, and obtaining a preprocessed polarimetric interferometry SAR image; step 2, performing surface phase extraction on the pre-processed polarimetric interferometry SAR image by employing a three-stage algorithm based on phase separation and coherence optimization; step 3, performing polarimetric target decomposition on the pre-processed polarimetric interferometry SAR image based on an Antropov volume scattering model, obtaining a volume scattering component, and extracting a canopy phase; step 4, preliminarily estimating the vegetation height by employing the phase diversity of the surface phase obtained in step 2 and the canopy phase obtained in step 3 according to a phase diversity method; and step 5, compensating the height obtained in step 4 by employing a coherence amplitude method, and realizing the estimation of the vegetation height of the polarimetric interferometry SAR image. According to the method, the problem of fuzzy estimation of the surface phase and the canopy phase is solved, and the inversion precision of the polarimetric interferometry SAR vegetation height is improved.

The invention discloses a line mountain fire disaster assessment method without the real-time acquisition of field information. The method comprises the steps of determining a vegetation type and a vegetation height, judging fire scene fire behavior type, obtaining alarm transmission line information, obtaining meteorological data of a mountain fire position, calculating mountain fire flame zone, ion zone and smoke zone heights, calculating flame zone breakdown voltage, calculating ion zone breakdown voltage, calculating smoke zone breakdown voltage, calculating transmission line trip probability, and evaluating a mountain fire level. The invention also provides a line mountain fire disaster assessment system without the real-time acquisition of field information. The method and the system have the advantages that a bearing body transmission line parameter, a mountain fire internal fire behavior characteristic and external environment conditions are considered, an accurate line fault probability model is established, use data is obtained based on a forestry database and a meteorological data value calculation result, the field acquisition is not needed, the probability quantitative calculation of transmission line trip caused by mountain fire is realized, the adaptability is high, and the mountain fire disaster resistance ability of a grid is improved.

The invention discloses a three-dimensional visualization device and a three-dimensional visualization method for describing a wetland vegetation eco-hydrology response. The device comprises a database, an input module, a texture editing module, an eco-hydrological model control module, a three-dimensional visualization module and a display module, wherein the database is connected with the inputmodule and receives and stores ground feature distribution data; the texture editing module and the eco-hydrological model control module are respectively connected with the database for receiving and storing the ground feature distribution data into the three-dimensional visualization computing module, and generating and outputting vegetation texture data; the eco-hydrological model control module receives an eco-hydrological model, and generates and outputs eco-hydrological model data; the database receives the vegetation texture data and the eco-hydrological model data, and establishes data information of the vegetation texture and the eco-hydrological model; the three-dimensional visualization computing module is connected with the database, receives the data information of the vegetation texture and the eco-hydrological model, performs grid computing, and generates and outputs a vegetation form, vegetation height and vegetation density of a coenosium of each grid node; and the display module is connected with the three-dimensional visualization computing module, and performs the three-dimensional visualization on the vegetation form, the vegetation height and the vegetation density of the coenosium.

The invention discloses a construction and inversion method for a vegetation height inversion model based on a second-order Fourier-Legendre polynomial. According to the construction method, first, anSAR image of a vegetation coverage vertical structure is acquired, polarization interference processing is performed, and a polarization multiple correlation coefficient gamma(omega) is generated; second, the vegetation coverage vertical structure corresponding to the SAR image is expressed into the second-order Fourier-Legendre polynomial; and last, the polarization multiple correlation coefficient gamma(omega) is used as an observation value to establish the vegetation height inversion model based on the second-order Fourier-Legendre polynomial on the basis of Fourier-Legendre coefficientsa<00>, a<10> and a<20>, vegetation height h<v> and surface elevation h<g>. According to the vegetation height inversion model in the scheme, vegetation height, surface elevation and the Fourier-Legendre coefficients used for expressing the vegetation coverage vertical structure are organically combined into the same function equation to serve as model parameters, and the vegetation height inversion model is established, so that the modeling process is simple and clear, and implementation is easy.

The invention discloses a numerical simulation method for simulating a wind field of a complex terrain. Parametric modeling is achieved; an actual terrain CFD model is built, and terrain roughness length data are processed through a UDF; a series of random points distributed on a contour line are converted into regular ground vegetation height data; then a relationship between the vegetation height and a resistance coefficient of a wind field is fitted through a function, and resistance coefficients at different vegetation heights of the complex terrain are obtained; and finally, the wind field of the simulated complex terrain is calculated and obtained by using Fluent to compile and execute a UDF program. The numerical simulation method for simulating the wind field of the complex terrainprovided by the invention solves the technical problem that an existing influence method for simulating a rough area convection field has an actual measurement result inconsistent with a test result.

A method of controlling application of a substance to vegetation using data obtained via a mobile machine is provided. A height of the vegetation is measured during a scheduled task of the mobile machine. The measured height of the vegetation is compared with a calculated height of the vegetation. Then, an amount of the substance applied by an irrigation system to an area containing the vegetation is adjusted based on a difference between the measured height of the vegetation and the calculated height of the vegetation.

The invention discloses a vegetation height analysis method and system based on a satellite remote sensing stereo imaging pair. A vegetation height model is rapidly and efficiently obtained through a vegetation information layer extracted by superposing a height model which is generated by differential operation of DSM and DEM and covers all surface features. Firstly, a DSM is generated through matching of a high-resolution satellite stereo image pair, then the DSM generated through matching is registered with a laser radar DEM, then vegetation information is extracted through a satellite image, and finally the vegetation height model is extracted. According to the method, the height information of the vegetation can be efficiently, quickly and accurately extracted in a large-area range through the steps, the influence of weather and airspace is small, data updating is convenient, and the method has high timeliness.

The invention discloses a method for measuring the ecological water demand of a degraded wetland based on water level gradients, and the method comprises the steps: collecting the raw data of a predetermined area, wherein the raw data comprises terrain data, a land use type map and meteorological data, and the meteorological data includes temperature, air pressure, wind speed and total surface radiation quantity data; setting sample sites under different water level gradients, selecting targets species, measuring vegetation data, carrying out sample survey to obtain vegetation parameters, wherein the vegetation parameters includes a vegetation height, vegetation coverage and a leaf area index; carrying out the linear interpolating of the measured vegetation parameters to obtain annual vegetation parameter data; determining a water level threshold suitable for vegetation growth under different water level gradient conditions based on vegetation parameter data and the plant; obtaining the vegetation distribution data under different water level gradient conditions based on the water level threshold and the topographic data and land use type map of the predetermined area, measuring the annual potential evapotranspiration, and obtaining the ecological water demand of the degraded wetland based on water level gradients.

A movable type water-level-fluctuating zone water and soil conservation wave partitioning device is characterized in that a plurality of parallel sliding rails are arranged along a water-level-fluctuating zone slope. Wave partitioning plate devices are arranged on the sliding rails. The sliding rails are fixed on the water-level-fluctuating zone slope through anchor rods. The elevation of the sliding rails is larger than the height of plants on the water-level-fluctuating zone slope. In the wave partitioning plate devices, float bowls are arranged on the reverse sides of arc-shaped plates, connecting parts are arranged at two ends of the arc-shaped plates, and guiding slots which are matched with the connecting parts in a sliding mode are correspondingly formed in two sides of the sliding rails. The wave partitioning plate devices which are installed among the sliding rails have the function of blocking and buffering surges, the surges return due to deflecting flow of the arc-shaped plates and have the function of subducting rising surges, so that erosion of the surges on soil on a bank slope is reduced, and water and soil loss on the surface of the water-level-fluctuating zone slope is reduced.

The invention discloses a remote-sensing-technology-based vegetation danger early warning system and method of transmission line. The system includes a vegetation growth prediction module, a vegetation height extraction module, a power line elevation extraction module, a relative distance calculation module, and a vegetation risk early warning module. According to the invention, the safe distanceassessment of the vegetation risk section can be realized by combining the spaceborne remote sensing technology with the airborne remote sensing technology; and plants growing too high are felled timely. A reasonable inspection plan can be formulated to reduce the number of manual inspection, so that the safety of transmission lines is ensured and the consumption of human and material resources isreduced.

The invention discloses a system and method for extracting plant height based on an unmanned aerial vehicle image DSM. According to the method, based on the DSM (Digital Surface Model) extraction technology of unmanned aerial vehicle photography images, the vegetation height data can be accurately obtained by utilizing digital elevation model extraction of vegetation filtering and vegetation crowntype automatic identification based on computer deep learning, and compared with a laser radar remote measurement mode, the measurement cost is greatly reduced.

The invention discloses a multi-baseline vegetation height inversion method and device considering geometric constraints, and the method comprises the steps: obtaining a multi-scene SAR image for preprocessing, and obtaining various polarization complex coherence coefficients of a plurality of interference pairs; specifying a main interference pair and a geometric constraint interference pair; specifying an RVoG model as a vegetation height inversion model, constructing an observation equation set by utilizing the polarization complex coherence coefficient of the main interference pair, and calculating a multi-parameter initial value by adopting a three-stage vegetation height inversion algorithm; carrying out linear fitting on the polarization complex coherence coefficient of the geometric constraint interference pair, and constructing geometric constraint conditions related to the vegetation height and the extinction coefficient; and solving unknown parameters including the vegetation height in the observation equation set by using the initial values of the parameters and the geometric constraint conditions and adopting a nonlinear iterative algorithm. According to the method, under the condition that multi-scene SAR images exist, the relation between vegetation parameters and data is converted into geometric constraint conditions, and the vegetation height inversion effect is good.

The invention discloses a vegetation diversity detection method based on a consumer-level unmanned aerial vehicle, and is applicable to the field of land cover detection. A digital orthoimage, a digital ground surface model image and a digital terrain model image of a research area are obtained through the consumer-level unmanned aerial vehicle, a vegetation greenness index distribution diagram of the area is obtained through calculation of the digital orthoimage, and vegetation types are divided according to colors; the vegetation height is calculated by using the digital surface model image and the digital terrain model image, the vegetation type is divided according to the height, finally the vegetation type is divided according to the vegetation color and height, the research area is divided into a plurality of units, and the vegetation diversity distribution condition in the region is calculated according to the vegetation type and the coverage of each unit, so that vegetation diversity detection is achieved. The method is simple in steps and convenient to use, vegetation diversity in a large area can be rapidly obtained, and vegetation community monitoring and evaluation are met.

The invention relates to a vegetation gross primary productivity estimation method based on satellite passive microwave remote sensing. The method comprises the following steps: acquiring satellite microwave vegetation water content index data, vegetation type data, vegetation height data, potential vegetation light energy utilization rate lookup table data and meteorological data; performing data preprocessing; calculating a normalized satellite microwave vegetation water content index, and determining photosynthetically active radiation absorbed by the vegetation in combination with solar radiation data; determining environment and biological constraint factors , and determining the actual vegetation light energy utilization rate in combination with the potential vegetation light energy utilization rate; and calculating the total primary productivity GPP of the vegetation. According to the method, the daily vegetation gross primary productivity can be inverted only by using satellite passive microwave observation and meteorological data in combination with the light energy utilization rate model, and the method can be directly applied to clear sky and cloudy day conditions, thereby playing a role in promoting inversion of the vegetation gross primary productivity in clouded areas by using satellite microwaves.

The invention discloses an earthwork calculation method and system based on unmanned aerial vehicle oblique photography and a storage medium, and relates to the technical field of unmanned aerial vehicle surveying and mapping, and the method comprises the following steps: building a ground surface model based on obtained aerial photography information; identifying a vegetation cluster area in the earth surface model; dividing each vegetation cluster area into an edge area and an internal area based on a preset division rule, and obtaining an edge vegetation height; matching each internal area with an adjacent edge area with the same vegetation type; executing different preset methods to obtain the regional vegetation height of the corresponding internal region; removing a vegetation cluster area on the ground surface model to form a ground surface model; and calculating the earthwork volume according to the ground model. The vegetation height of the internal area can be calculated according to the rule by calculating the vegetation height of the edge area, the vegetation interference of the vegetation cluster area is removed by the obtained vegetation height, the real landform can be restored more completely, and the finally calculated earth-rock volume is more accurate.

The invention belongs to the technical field of electronic information and specifically refers to a spaceborne synthetic aperture radar polarized system parameter design method. The invention puts forward the polarized system parameter design method which is aimed at four terminal applications that are respectively polarization object decomposition, land surface classification, military object detection and vegetation height inversion. Polarization system parameters comprise one or more of polarization crosstalk, channel imbalance and system noise. The design method is to establish a correlation model between a terminal application evaluation index and the polarization system parameters. The correlation model includes theoretical model formulas or numerical value transfer relationships. According to the correlation model, polarization system parameter design requirements of corresponding terminal applications can be put forward. The invention provides the polarized system parameter design method for a spaceborne synthetic aperture radar system designer, and that a designed synthetic aperture radar system can provide data service according to application requirements can be ensured.

The invention discloses a portable measuring instrument and a measuring method capable of simultaneously measuring vegetation coverage and height. The measuring instrument can simultaneously and real-timely obtain the vegetation height and coverage information, has simple structure and is convenient to carry. The measuring instrument comprises a cantilever beam frame, an image acquisition and transmission device, a binary coding disk and a hand-held terminal, wherein the binary coding disk is vertical to the horizontal plane and is arranged within the image acquisition range of the image acquisition and transmission device, and the lower end face of the binary coding disk is in touch with the ground surface; the image acquisition and transmission device collects images of an area to be measured including the binary coding disk and wirelessly transfers the image information to the hand-held terminal; the hand-held terminal extracts image information from the binary coding disk to calculate the vegetation height, and extracts pixel information from the images in combination with the vegetation height to calculate the coverage.

The invention relates to the field of aviation plant protection, and discloses an aviation pesticide application system and method. The system comprises a horizontal cloud deck and a height measurement system, wherein the horizontal cloud deck is rotatably mounted on an airplane for pesticide application and can keep a horizontal state; and the height measurement system is arranged on the horizontal cloud deck and comprises a laser ranging module and a microwave radar ranging module. According to the aviation pesticide application system and method provided by the invention, comprehensive detection can be carried out to obtain parameters such as airborne relative heights, airborne reference heights, vegetation heights, vegetation areas and vegetation coverages, the parameters can be synthesized to carry out pesticide application control and adjustment so as to ensure that the pesticide application is adapted to different airborne relative heights and supports different land vegetationtypes, and pesticide application can be accurately carried out on the vegetation areas to be adapted to different vegetation coverages, so as to realize accurate and uniform pesticide application.

The invention discloses a hyperspectrum and laser radar-based method for extracting vertical distribution of leaf area. The hyperspectrum and laser radar-based method mainly comprises the steps of 1, classifying point cloud data of an airborne laser radar, and extracting vegetation structure parameters; 2, acquiring distribution of region leaf area indexes by virtue of a geometrical optical model on the basis of hyperspectrum data and the extracted vegetation structure parameters; 3, calculating the percentage of vegetation laser points above the ground on each height layer, thus obtaining a height profile of a corresponding vegetation canopy; and 4, on the basis of extracting the vegetation leaf area indexes and the height profile of the canopy, distributing the vegetation leaf area indexes according to the height profile of the canopy to obtain a vegetation leaf area index of each layer and vegetation leaf area indexes accumulated along with the height. According to the hyperspectrum and laser radar-based method, horizontal information of the hyperspectrum data and response of the laser radar to vegetation height information are comprehensively utilized, the vertical distribution of the region leaf area indexes is extracted, and more accurate parameter input is provided for a physical model-based vegetation radiation transmission model.

The invention provides a vegetation height measurement method, device and system and a storage medium. The method comprises the steps of obtaining a radar echo signal; respectively identifying data of echo sampling points obtained by vegetation reflection and data of echo sampling points obtained by ground reflection in the data of the target signal at each scanning point; by means of the data of each echo sampling point obtained through vegetation reflection, assigning the occurrence moment of the maximum gradient value in the data of the echo sampling points obtained through vegetation reflection to be a first numerical value, assigning the other moments to be second numerical values, and aiming at each echo sampling point data obtained through ground reflection, assigning the moment corresponding to the ground height in the data belonging to the echo sampling point obtained by ground reflection as a first numerical value and assigning the other moments as second numerical values to obtain a vegetation height curve. Therefore, a vegetation height curve is obtained, and the purpose of measuring the vegetation height is achieved.

The invention relates to a method for measuring and calculating overground biomass of a plant. The method comprises the following steps: S1, acquiring visible light image data and ground measured vegetation aboveground biomass; S2, establishing a three-dimensional realistic picture; S3, extracting a ground object elevation map and a ground object distribution map from the three-dimensional realistic picture, and obtaining geographic position information of the two maps to be consistent; S4, dividing the ground object distribution map into vegetation and non-vegetation distribution map areas, and calculating spectral indexes and texture characteristic quantities of visible light of the vegetation distribution map areas; extracting a corresponding non-vegetation elevation map area from the ground object elevation map; S5, performing data interpolation on a blank area in the non-vegetation elevation map area to obtain a ground elevation map; S6, subtracting the ground object elevation maps in S3 and S5 to obtain vegetation height data distribution; S7, acquiring canopy height data of vegetation, and performing regional statistics on spectral indexes, texture characteristic quantities,canopy heights and the like of visible light to obtain related characteristic quantities; and S8, screening the characteristic quantity, and calculating the vegetation aboveground biomass by combining with the actually measured vegetation aboveground biomass on the ground.