206 results about "Vegetation cover" patented technology

The invention relates to the technical field of wetland carbon evaluation, and discloses a wetland carbon flux evaluation and management system based on three-dimensional digital twinning. The system comprises a three-dimensional modeling module, a flux monitoring module, a model optimization module and a twin updating module. The three-dimensional modeling module integrates wetland geographic space coordinates, an ecological parameter set and elevation, vegetation coverage density and soil type layering information, constructs a three-dimensional terrain grid model, and generates a three-dimensional digital twinborn body with a geographic mark; the flux monitoring module is used for collecting data such as atmospheric temperature gradient based on real-time environmental parameters, extracting carbon flux change characteristics through time sequence analysis and outputting a dynamic distribution state value; the model optimization module uses an adaptive evolutionary algorithm to adjust the parameter matching degree, iteratively updates constraint conditions, and generates an optimization parameter set; and the twin updating module recognizes abnormal grid units according to the abnormal grid units, corrects attributes by combining measured data, calibrates a topological relation, and outputs an updated evaluation model.

The invention relates to the technical field of geological monitoring, and discloses a side slope deformation monitoring method based on spaceborne synthetic aperture radar, which comprises the following steps: S1, data acquisition: acquiring multi-source spaceborne synthetic aperture radar (SAR) data of a side slope area, the multi-source spaceborne SAR data comprising C-band SAR data and L-band SAR data; s2, self-adaptive preprocessing: self-adaptive preprocessing is performed on the multi-source spaceborne SAR data according to a ground surface coverage scene of a slope area, and the ground surface coverage scene comprises a low vegetation area, a medium-high vegetation area, a flying dust interference area and a high and steep terrain area. According to the slope deformation monitoring method based on the spaceborne synthetic aperture radar, a self-adaptive wave band fusion strategy is adopted for different vegetation coverage scenes, a time sequence coherence enhancement algorithm is combined, the vegetation area monitoring precision is remarkably improved, and noise signals are effectively eliminated and interference errors are reduced through flying dust and construction interference dynamic identification and a multi-dimensional filtering algorithm.

The invention discloses a soil water and salt dynamic monitoring and quality evaluation method based on multispectral remote sensing, and relates to the field of geological monitoring, and the method comprises the steps: carrying out the scattering deviation correction and roughness correction of an observation spectrum through a satellite remote sensing image, an unmanned aerial vehicle multispectral image, a ground sample and meteorological driving data; the soil intrinsic reflectivity, the vegetation coverage component and the salt crusting component are obtained; a water-salt inversion model is established by combining thermal infrared and red edge wave band information, and multi-temporal soil volumetric moisture content and surface salinity index are inverted; by introducing meteorological conditions and vegetation dynamic characteristics, a water-salt coupling partial differential equation and a graph space-time constraint model are constructed, and continuous space-time distribution of soil water content and salinity is obtained; extracting salinity, moisture, vegetation response and soil health indexes, establishing a soil quality comprehensive evaluation model, and outputting high-risk plaques and a treatment priority sequence. The method realizes dynamic monitoring and quality grading evaluation of soil water and salt, and is suitable for saline-alkali soil treatment and ecological restoration.

The invention discloses an ecological environment detection method and system based on multispectral remote sensing fusion, and relates to remote sensing image processing. The method comprises the following steps: collecting multispectral remote sensing image data of a target area; performing multiband joint atmospheric correction processing on the multispectral remote sensing image according to the scattering coefficient, the atmospheric light value and the transmissivity of each band; performing foreground and background analysis on the corrected multispectral remote sensing image; fusing the vegetation area and the non-vegetation area of each wave band image by adopting different weight strategies to generate a multispectral fusion image; and extracting spectral features of the multispectral fusion image, constructing a standard vegetation spectral feature library, and identifying regions deviating from a standard vegetation spectrum through an anomaly detection algorithm according to the extracted spectral features to obtain various vegetation coverage rates. In view of low vegetation identification precision caused by direct foreground and background division of a multispectral remote sensing image under an atmospheric interference condition, vegetation division is performed after a clear image is obtained, so that the detection precision is improved.

The invention provides an installation position recommendation method of a courtyard intelligent sprinkler and a mower control method, and relates to the technical field of sprinklers. The method comprises the following steps: acquiring information of a vegetation coverage area, a movement limited area and a non-movement limited area based on a courtyard map, and performing quantitative judgment on geometric features of the movement limited area to realize accurate identification of a narrow traffic area; when the recommended installation position is determined, the range of the inner side of the movement limited area is excluded, and meanwhile the effective spraying area which can be covered by the installation position of the sprinkler can be maximized. According to the technical scheme, hindering of installation of the sprinkler on a mower or a user passing path can be avoided, and reasonable distribution of water resources can be guaranteed; meanwhile, in combination with the sprinkling irrigation coverage range and lawn mower path planning, cooperative operation of the courtyard intelligent sprinkling irrigation system and the lawn mower is achieved, and the overall efficiency and the intelligent degree of courtyard automation equipment in the operation process are improved.

The invention relates to the technical field of environmental assessment, and provides a plateau region soil erosion attribution method, system, medium and equipment, and the method comprises the steps: calculating the soil erosion rate of each calculation unit in a research region through a soil erosion model based on multi-source geographic space data; the soil erosion rate is a product of a rainfall erosivity factor, a soil erodibility factor, a slope length gradient factor, a vegetation coverage management factor and a water and soil conservation measure factor; a rainfall erosivity factor, a soil erodibility factor, a slope length and gradient factor, a vegetation coverage management factor and / or a water and soil conservation measure factor are used as key driving factors, and the control degree of the key driving factors on the soil erosion rate change is calculated by adopting a logarithmic mean Dewei index method; wherein the control degree sets a weighting coefficient for each calculation unit in the calculation process, and the weighting coefficient is constructed based on the difference between each calculation unit and the preset reference region. And the independent contribution of each factor to the erosion change can be accurately separated.

The invention discloses an ecological restoration area carbon sink increment real-time prediction method and system based on artificial intelligence, and the method comprises the following steps: multi-source data collection: obtaining a monthly vegetation coverage image through a satellite remote sensing platform, collecting the sensor data of soil temperature and humidity, air CO2 concentration and the like through a laid ground sensor network, and carrying out the real-time prediction of the carbon sink increment of an ecological restoration area; adopting an unmanned aerial vehicle laser radar to obtain vegetation canopy point cloud data according to a preset period, and collecting biomass actual measurement data of a restoration area in a historical preset age limit; preprocessing data, performing radiometric calibration, atmospheric correction and cutting splicing on a monthly vegetation coverage image acquired by a satellite remote sensing platform, and extracting a vegetation coverage and vegetation index time sequence; denoising, ground point separation and single tree canopy segmentation are carried out on vegetation canopy point cloud data acquired by the unmanned aerial vehicle laser radar, and the height and crown breadth of single plant vegetation are calculated. According to the invention, carbon sink increment prediction can be realized more accurately.

The invention relates to a soil erosion amount dynamic monitoring method and system based on multi-source remote sensing data fusion. The method comprises the following steps: acquiring multi-source remote sensing data and auxiliary data, and performing geometric fine correction and atmospheric correction on an image based on high-resolution digital elevation data to obtain a data set with consistent space; performing inversion based on the data set to obtain a corrected terrain factor and a water and soil conservation measure factor; generating a time sequence rainfall erosivity factor and a time sequence vegetation coverage factor in combination with the multi-temporal satellite rainfall data; and calculating a preliminary soil erosion modulus in combination with the soil type map, and correcting by using multi-stage high-resolution digital elevation data to obtain a dynamic monitoring result of the soil erosion amount. By adopting the method, the problem of multi-source data fusion matching can be solved, and the factor inversion precision is improved, so that the accuracy of a dynamic monitoring result of the soil erosion amount is improved.

The invention provides a three-dimensional evaluation method for an ecological restoration effect, and belongs to the technical field of ecological restoration evaluation.The method comprises the steps that a multi-point monitoring network is arranged in a target restoration area to obtain comprehensive basic ecological parameters, and a dynamic threshold ecological early warning algorithm system is constructed to achieve abnormal mode intelligent recognition and automatic early warning triggering; a multi-parameter coupling analysis mechanism is established to dynamically adjust the monitoring processing frequency according to the vegetation coverage value, and a characteristic value sensitivity analysis mechanism is designed to adjust the restoration control strategy according to the characteristic value change rate of the adjacent matrix; an ecological succession trend prediction model based on a time sequence diagram convolutional network is constructed, key succession features are extracted by using a multi-head attention mechanism to predict a future evolution trend, a three-dimensional display system before and after restoration is established in combination with a 360-degree panoramic technology to generate a comprehensive evaluation report, and the technical problem that ecological restoration effect evaluation is not accurate enough is solved.

The invention provides a surface water heat flux integrated estimation method, system and equipment, and relates to the technical field of hydro meteorological remote sensing, and the method comprises the steps: according to the target surface temperature data, target net radiation data, target air temperature data, target vegetation coverage data and target soil moisture data of a target region, calculating the target surface temperature data; constructing to obtain target surface environment key parameters corresponding to the target region; and inputting the target earth surface environment key parameters into the surface water heat flux integrated estimation model to obtain target earth surface sensible heat, latent heat and soil heat flux estimation values which are simultaneously output by the surface water heat flux integrated estimation model and correspond to the intra-day time scale of the target region, the surface water heat flux integrated estimation model is obtained by training a physical information neural network machine learning model based on the sample surface water heat flux observation data corresponding to the sample surface water heat flux key parameters and the sample surface water heat flux key parameters. According to the method, the surface water heat flux estimation accuracy is improved.

The invention discloses a forestry surveying and mapping method based on remote sensing big data, and relates to the technical field of image processing, and the method comprises the following steps: S1, obtaining an initial remote sensing image of a to-be-surveyed area, and carrying out the processing through a feature extraction model, and obtaining a standard remote sensing image; s2, generating a global matrix for the to-be-mapped area according to feature row vectors extracted from the initial remote sensing image and the standard remote sensing image; and S3, determining a final vegetation coverage rate according to the global matrix of the to-be-mapped area. According to the method, the concentration ratio of the vegetation features is analyzed and quantified through the feature values of the global matrix, interference of isolated pseudo vegetation pixels is avoided, the stability of a coverage calculation result is improved, and the method is suitable for large-scale and normalized forestry surveying and mapping scenes.

The invention provides a soil lead element distribution monitoring method and system, and the method comprises the steps: obtaining topographic feature variables, remote sensing index variables, human activity intensity variables and geological feature variables of a plurality of sampling points of a target monitoring region in a specified current monitoring period in a preset variable database, constructing a lead migration potential index, an enhanced vegetation coverage dynamic index and a soil erosion-lead migration coupling index, and obtaining an actual soil lead spatial distribution probability based on a preset soil lead element distribution monitoring model; according to the actual soil lead space distribution probability, based on a preset lead element early warning grading rule, carrying out early warning grading on the sampling points; and according to the early warning level of the sampling point, generating a corresponding lead element early warning instruction and transmitting the lead element early warning instruction to early warning equipment, so that the soil lead element distribution monitoring efficiency can be improved.

The invention provides a simulation system and method for a typhoon rainstorm induced combined flow-slip disaster, and the system comprises a side slope simulation box which is used for simulating a side slope covered by vegetation; the wind load control system is used for simulating a wind load applied to the slope simulation box and controlling a wind load time history according to a set typhoon level; the rainfall control system comprises a variable-frequency water pump and is used for determining the rainfall intensity according to the set typhoon level, determining the target power of the variable-frequency water pump according to the rainfall intensity, simulating rainfall and controlling the rainfall time history; and the spatial three-dimensional visual data acquisition system is used for acquiring multi-section visual three-dimensional data of the three-mechanism coupling catastrophe simulation process of the slope model in real time under the action of the wind load, rainfall and the plant model. Through the application, the three-mechanism coupling catastrophe process of the slope model under the action of wind load, rainfall and the plant model is accurately simulated, the three-mechanism coupling catastrophe mechanism in the soil body is disclosed, and dynamic three-dimensional analysis of engineering is realized.

The invention discloses a turbulence correction and verification method based on a wind lidar. The method comprises the following steps: S1, constructing grid data of a test area based on DEM data with 30m resolution and a vegetation coverage map with 30m resolution of the test area; s2, on the basis of the grid data of the test area, fluid simulation parameters, simulation reference wind speed and reconstructed wind speed of the test area are obtained through fluid simulation calculation, so that a wind speed correction coefficient is obtained; parameters of fluid simulation comprise a turbulence model, an inlet inflow broad line and roughness; s3, real-time wind speed and real-time wind direction are obtained based on the test area foundation wind measurement laser radar, and real-time turbulence is obtained through calculation; compared with the prior art, the virtual anemometer tower is constructed on the basis of a plurality of three-dimensional laser anemometer radars, point location measurement of a traditional anemometer tower is replaced by point location measurement of the virtual anemometer tower, and a convenient, real-time and reliable data source is provided for turbulence correction and verification of the foundation anemometer laser radars. And the accuracy of actual measurement of turbulence based on the ground-based anemometry laser radar is improved.

The invention discloses a municipal green belt vegetation coverage rate automatic measurement and calculation method based on image extraction, and relates to the technical field of intelligent environment assessment, and the method comprises the following steps: building a rainfall time recording sequence in the vegetation coverage rate automatic measurement and calculation process, synchronously recording environment illumination intensity change information during image collection, and recording the rainfall time recording sequence; and marking a post-rain high reflection risk state at a corresponding time node of the rainfall time recording sequence. According to the invention, the rainfall time record sequence is established and the illumination change information is combined, so that the dynamic identification and hierarchical management of the post-rain reflection risk are realized; through credible vegetation reference area constraint and brightness rhythm line regulation and control, a reflective area gradually returns to a normal identification range, so that post-rain misjudgment and coverage rate sudden drop are avoided, and a measurement result is ensured to be continuous and stable and truly reflect a greening condition.

The invention provides a drainage basin water and soil conservation vegetation synergy layout method and system and electronic equipment, and the method comprises the steps: calculating a sediment connectivity index for a target drainage basin in a grid-by-grid manner based on a preset sediment connectivity index model, and combining the sediment connectivity indexes of all the vegetation coverage grids to form a sediment connectivity index spatial distribution diagram of the vegetation coverage of the drainage basin, and spatially superposing the sediment connectivity index spatial distribution diagram with the sediment connectivity index spatial distribution diagram under the bare land scene of the drainage basin to generate a sediment connectivity index difference distribution diagram. According to the difference value of the sediment connectivity indexes, the vegetation configuration priority order of each grid is determined, and vegetation is arranged according to the vegetation configuration priority order of the grids, so that under the condition that the total number of vegetation configuration is the same or the existing vegetation coverage number of a watershed is not changed, the vegetation can be quickly and accurately configured, and the vegetation can be quickly and accurately distributed. And the drainage basin water and soil conservation function is improved.

The invention discloses a vegetation coverage index algorithm and system based on an unmanned aerial vehicle. The algorithm comprises the following steps: S1, data acquisition and multi-source data preprocessing; s2, dynamic environment correction and multi-source data fusion; s3, red edge enhanced vegetation index calculation and terrain correction; s4, vegetation coverage intelligent prediction and precision verification; and S5, result visualization and decision support: generating a vegetation coverage spatial distribution map and a statistical report, and supporting a resource management decision. By integrating the unmanned aerial vehicle, the multispectral imaging sensor, the dynamic environment correction model and the data fusion algorithm, efficient and high-precision technical support is provided for precision agriculture, ecological resource management and disaster monitoring.

The present application relates to the technical field of ecological remote sensing monitoring, in particular to a method and system for calculating vegetation coverage index based on a double dynamic cloud optimization mechanism, which comprises the following steps: obtaining an NDVI original time series dataset of a target region, dynamically analyzing the cloud coverage degree of different time series based on a cloud coverage dynamic analysis mechanism and the NDVI original time series dataset to obtain cloud coverage grading results of different time series; processing the NDVI original time series dataset through a filtering processing model to obtain filtered NDVI time series data of different time series; setting an NDVI time series data adaptive optimization mechanism based on cloud coverage grading, correcting the NDVI time series data of different time series based on the adaptive optimization mechanism and the cloud coverage grading results to obtain a target NDVI time series dataset; analyzing the vegetation coverage index of the target region according to the target NDVI time series dataset to obtain vegetation coverage index analysis results, thereby realizing real-time dynamic monitoring of the vegetation coverage of the target region.

This invention discloses an artificial intelligence-based method for monitoring soil erosion risk. To address the problems of untimely identification of soil erosion risk, difficulty in quantifying disturbance information, and insufficient early warning accuracy within the responsibility area of ​​production and construction projects, this invention acquires high-resolution remote sensing images and divides the responsibility areas into prevention and control units. It utilizes a disturbance identification model to identify pixel-level engineering disturbances and extract disturbance features such as disturbance area ratio, disturbance morphology, and spatial relationship between disturbances and drainage channels. Combining rainfall, topography, soil, vegetation, and soil and water conservation measures data, it calculates key factors such as rainfall erosivity, vegetation cover management, slope length and gradient, soil erodibility, and measure factors. These factors are then substituted into a modified general soil loss equation to obtain baseline soil erosion. The baseline soil erosion, disturbance features, key factors, and rainfall forecast are input into a deep residual network model to obtain target soil erosion risk indicators. Finally, based on risk classification thresholds, the risk level of each prevention and control responsibility unit is output, achieving the technical effect of unit-scale soil erosion risk monitoring and early warning.

The invention discloses a method for carrying out mine and ecology integrated restoration by using a specific microbial community. The method comprises the following steps: step 1, directional construction of the microbial community; step 2, preparation of a restoration matrix; step 3, construction of a ternary interaction system; through the synergistic effect of the compound microbial community, the soil pH adjusting period is effectively shortened, the bio-availability of heavy metals is synchronously reduced, the vegetation coverage rate and the organic matter content of a remediation area are both increased through the microorganism-plant-matrix ternary interaction, a stable and balanced ecological system is formed, and the remediation effect is improved. And meanwhile, the manual intervention frequency is reduced through the dynamic regulation and control system, the intelligent degree is high, the integrated restoration cost is greatly reduced, and the system has the characteristics of high efficiency, sustainability and intelligence and is suitable for ecological restoration of various mining wastelands.

The invention belongs to the technical field of cultural relic protection and building information models, and discloses an ancient city wall daily management and disease management and control system and method based on BIM scene construction. An existing disease management and control system has the problems that the urban wall occurrence environment and the repair history are difficult to comprehensively consider, and multi-disease collaborative analysis is lacked. According to the method, non-structural nodes are introduced, environmental factors such as a drainage system, vegetation coverage, underground facilities and an internal space are incorporated into a city wall management system, and collaborative expression of a city wall structure and an occurrence environment is realized on the basis of structural partitioning. According to the system, urban wall block numbers serve as a unified index, monitoring data, disease information and repair records are fused, spatial visualization and information linkage are achieved based on a BIM scene, meanwhile, a threshold value management mechanism is set, when state parameters of non-structural nodes reach a threshold value, a corresponding maintenance protection scheme is triggered, and the maintenance and protection efficiency is improved. And urban wall information management, disease dynamic monitoring and scientific repair decision making are realized.

The utility model discloses a water and soil conservation vegetation cover support technical field's water and soil conservation vegetation cover support, including vegetation cover framework, vegetation cover framework is by multiple green planting unit, and green planting unit includes hexagonal base, and the middle part of hexagonal base is provided with soil filling cylinder, and both sides of hexagonal base all are installed with positioning clamping plate, and the both sides of hexagonal base away from positioning clamping plate are set up with positioning clamping groove respectively, and the structure design of the scheme can be assembled and form adjustment according to the relief and irregular characteristics of desertification land flexibly through the clamping cooperation between positioning clamping groove and positioning clamping plate, realizes the quick construction of whole vegetation cover framework, and this kind of flexible splicing mode not only has improved the adaptability of vegetation cover support to complex landform, has guaranteed sand -fixing green plant to be able to grow stably under various topographic conditions, but also has strengthened the effect of wind -proof sand -fixing, has solved the limitation that traditional integration net -like support is difficult to match irregular topography.

The utility model relates to the technical field of ecological environment-friendly tools, in particular to an ecological environment-friendly slope protection frame and mold, which comprises a plurality of slope protection frame shells, the slope protection frame shells are sequentially spliced and laid on slope edges, two inner cavities are arranged in the slope protection frame shells, and an upper planting area and a lower planting area are arranged in the inner cavities. The upper planting groove and the lower planting groove are the same in structure, and an anti-skid layer is arranged on the inner wall of the upper planting groove. In the ecological environment-friendly slope protection frame and the mold, the upper-layer planting area and the lower-layer planting area are arranged in the slope protection frame shell, compared with a traditional single-layer planting area, the plant growth space is remarkably enlarged, more types and numbers of plants can be planted, more dense vegetation coverage is formed, and the ecological restoration function of the slope protection is enhanced. Meanwhile, the anti-skid layer on the inner wall of the upper-layer planting groove can effectively prevent soil from slipping off after plants are planted, and the stable growth environment of the plants is guaranteed; the bottom water leakage holes facilitate water drainage, and water accumulation is prevented from affecting plant root growth.

The invention discloses a construction method of an unmanned aerial vehicle multi-spectral remote sensing basic model based on agricultural application, and relates to the technical field of intelligent agricultural equipment, and the method comprises the following steps: S1, collecting a multi-band remote sensing image of a rice region through a multi-spectral camera carried by an unmanned aerial vehicle; s2, calculating an anti-flooding vegetation index, and generating a vegetation coverage rate initial value according to the anti-flooding vegetation index; s3, extracting a rice plant area image, and inputting the rice plant area image into the trained rice state recognition model; s4, judging whether the flooding stress probability is greater than a flooding threshold value or not; and S5, determining the rice growth potential grade based on the vegetation coverage rate initial value or the corrected vegetation coverage rate. According to the method, through the anti-flooding vegetation index and the self-adaptive calculation algorithm in the turbid water body, the strong absorption interference of the water body in the near-infrared band is effectively stripped, so that the initial value of the vegetation coverage rate can truly reflect the survival state of underwater vegetation, and the situation that part of flooded healthy rice is misjudged as poor growth or death is fundamentally avoided.

This invention discloses a soil and water conservation monitoring method based on automatic positioning and orientation technology, belonging to the field of soil and water conservation monitoring technology. Utilizing automatic positioning and orientation technology and a data acquisition module, it collects relevant monitoring data on rainfall, elevation, equipment tilt, vegetation cover, soil yield, and soil erosion in the currently monitored soil area. Using a data processing module, it calculates and outputs the soil erosion rate TQS, the soil and water conservation measure effectiveness value SBX, and the comprehensive soil and water conservation benefit value SBZ. Based on the comprehensive soil and water conservation benefit value SBZ, a monitoring and early warning module provides real-time monitoring and early warning, guiding the formulation of soil and water conservation measures. This algorithm unit, through comprehensive data collection, real-time monitoring, early warning and feedback, cost reduction, and scientific optimization strategies using automatic positioning and orientation technology, provides a more accurate, efficient, and scientific solution for soil and water conservation work.

The invention discloses an ecological slope protection method based on concrete hexagonal blocks, which realizes the double targets of slope stability and ecological restoration through a five-in-one technical system of grouted rubble footing, original soil compaction, nutritional non-woven fabric laying, concrete hexagonal block construction and a vegetation restoration system. And quality control and acceptance: regularly checking footing settlement, non-woven fabric lap joint, hexagonal block flatness and the like, monitoring the vegetation recovery effect by aerial photography of an unmanned aerial vehicle, detecting the structural stability, evaluating the vegetation coverage rate and the like. According to the method, standard hexagonal block prefabricated parts are spliced to form a grid framework, nutrient soil is filled in the grid framework, turf or aquatic plants are planted in the grid framework, a double-reinforcing structure of a grouted rubble coping and footings is matched, water and soil loss is effectively prevented, nutritional non-woven fabric is innovatively adopted as an ecological transition layer, the functions of water retention, fertilizer retention and scouring prevention are achieved, and the ecological effect is good. The in-situ soil compaction technology is matched to improve the bearing capacity of the base, the vegetation survival rate is high, and the method is suitable for various slope treatment projects such as rivers, reservoirs and roads.

The invention relates to the technical field of soil desertification treatment, and particularly provides a biological soil crust growth method suitable for desertification land, which specifically comprises the following steps: step 1, adopting local clay with specific clay content, airing, crushing, preparing slurry, and preparing a clay sand barrier unit; step 2, screening suitable sand-fixing plant seeds, performing disinfection and germination accelerating treatment, and sowing the seeds in a specific mode in a sand barrier in a suitable season; 3, by means of the synergistic effect of the clay sand barrier and the sand stabilization plants, later complex management and protection are not needed, biological soil crust can be rapidly formed within 3-4 years, sand barrier self-maintenance and plant self-maintenance growth are achieved, the sand control cost and labor intensity are effectively reduced, water and soil loss is reduced, the vegetation coverage rate and the ecological system stability are improved, and the method is suitable for large-scale popularization and application. The problem of traditional desertification control is precisely solved, and efficient treatment and sustainable ecological restoration of desertified land are promoted.

The invention provides an avalanche potential hazard area identification method and system based on multi-factor terrain constraints, and belongs to the technical field of avalanche prevention and control. According to the method, on the basis of a digital elevation model, a plurality of terrain factors such as gradient, curvature and roughness are synthesized, and a candidate area with avalanche starting basic conditions is obtained through multi-factor combined screening; in combination with vegetation coverage data, a vegetation zone with an obvious anti-sliding effect is removed; further performing geometric cutting and structural decomposition on the candidate region by using connected domain analysis, ridge structure identification, slope direction consistency judgment and region internal height difference analysis to obtain a small-scale slope unit which is more in line with an avalanche starting form; and finally, setting scale constraints according to avalanche development characteristics, and generating an avalanche potential hazard area map. According to the method, the avalanche hidden danger area in the large-range mountain area can be extracted, the avalanche hidden danger recognition precision is remarkably improved, and a reliable data basis is provided for avalanche dynamics simulation, risk assessment and protective engineering design.

The invention discloses a grassland insurance grade evaluation method and system based on a multi-source time sequence. Based on PCA information entropy, fusing long-time sequence grassland insurance indexes (a meteorological drought index, a vegetation drought index, a soil drought index, a soil-vegetation drought index, a fire index, a flood index, a grassland comprehensive vegetation coverage, a grassland grass yield and a grassland greenness index); the grassland vegetation change condition is detected, the grassland insurance index main feature information limiting the grassland vegetation condition in each time period is extracted, the grassland insurance grade is obtained by using FCM clustering, manual ground patrol and verification work is greatly reduced, the grassland insurance grade condition of a target area can be quickly and accurately mastered, and the loss caused by natural disasters is greatly reduced.

The utility model relates to the technical field of coast comprehensive protection, in particular to a marine ecological bank protection structure which comprises a bank protection body, bank steps are arranged on the upper surface of the bank protection body, and an ecological protection mechanism facilitating bank protection through ecological plants is arranged on the bank protection body. A fixing mechanism facilitating fixation of the ecological protection mechanism is arranged between the revetment body and the ecological protection mechanism, the vegetation bags are arranged on the upper surfaces of the bank steps, the ecological overflow bricks are arranged on the upper surfaces of the bank steps, the hollow retaining wall is arranged on the upper surface of the first-stage bank step, and the second-stage bank step is arranged on the upper surface of the second-stage bank step. And the four-foot hollow square brick is arranged at the edge of the front end of the revetment main body. According to the marine ecological bank protection structure, the bank steps are arranged on the upper surface of the bank protection main body, the vegetation bags and the ecological overflow bricks are placed on the bank steps in a staggered mode, and the hollow retaining walls and the four-foot hollow square bricks are arranged at the first step of the bank steps and the foremost end of the bank protection main body correspondingly, so that the vegetation coverage rate is increased, and the bank line ecologicalization level is improved.