467 results about "Revegetation" patented technology

The invention provides a water and soil loss dynamic monitoring method and system based on a remote sensing image, and the method comprises the steps: firstly obtaining a multi-temporal remote sensing image data set of a target region, which comprises a plurality of time period remote sensing image subsets and land surface coverage information, and then carrying out the land surface feature extraction of the multi-temporal remote sensing image data set, after vegetation coverage, terrain gradient and soil exposure features are obtained, a water and soil loss prediction model based on time-space correlation is constructed, the features are input for prediction, a water and soil loss grade distribution map is generated, a target loss risk area is identified according to the water and soil loss grade distribution map, and a treatment priority sequence and a vegetation recovery strategy are generated. And finally, the information is fed back to a monitoring platform to trigger regional governance task allocation operation, so that dynamic monitoring of water and soil loss is realized, and governance tasks are effectively planned.

The invention relates to a restoration method of a wetland ecosystem, and aims to improve the biodiversity of a wetland and restore and enhance the ecological function of the wetland through systematic measures. The method comprises the following steps: firstly, evaluating the current condition of the wetland, and identifying specific or endangered species and alien invasive species; secondly, by introducing or protecting specific animal and plant species, the natural habitat is recovered, and the biodiversity of the wetland is improved; thirdly, the water quality and soil conditions of the wetland are improved by adopting technologies such as hydrological regulation and control and vegetation restoration; fourthly, the connectivity of the interiors of the wetlands and surrounding habitats is enhanced, and species migration and gene exchange are promoted. By means of the measures, a damaged wetland ecosystem can be effectively restored, key functions such as water quality purification, flood regulation and carbon storage of the wetland ecosystem can be restored, meanwhile, endangered species are protected, and the ecological value and landscape aesthetics of the wetland are improved.

The invention provides a power grid water and soil conservation method and system based on three-dimensional simulation, and relates to the technical field of power grid water and soil, and the method comprises the steps: building a power grid project three-dimensional scene model based on terrain, soil, vegetation and hydro meteorological data, and simulating water and soil loss risk distribution. Then, a water and soil conservation facility layout scheme including intercepting and draining ditches, a grit chamber, a vegetation recovery zone, a retaining wall and the like is established; a multi-objective optimization algorithm is adopted, the minimum construction cost and the optimal water and soil conservation effect are taken as objectives, the position, specification and number of facilities are optimized, and a plurality of candidate schemes are obtained. And finally, simulating water and soil loss processes under different rainfall working conditions based on computational fluid mechanics, selecting a scheme with the highest comprehensive score as a final optimization scheme in combination with a fuzzy comprehensive evaluation method, and outputting a three-dimensional construction layout diagram and a technical parameter list. The water and soil loss risk in power grid engineering construction and operation can be effectively reduced, the engineering cost is saved, and the water and soil conservation effect is improved.

The invention discloses an artificial precipitation data acquisition system and evaluation method based on a remote sensing image, and relates to the technical field of ecological environment restoration and meteorological science. Comprising the following steps: acquiring remote sensing image data and rainfall data of meteorological stations in a region, performing geometric correction and radiation correction on the remote sensing image data based on ENVI software to obtain corrected remote sensing data, and calculating the rainfall data of the meteorological stations on the basis of the corrected remote sensing data and regional historical rainfall data. The rainfall change data and the vegetation change data in different time periods before and after artificial rainfall enhancement are respectively obtained through a regression analysis method and a pixel dichotomy method, the rainfall change data and the vegetation change data in different time periods before and after artificial rainfall enhancement are compared, the influence of rainfall enhancement on vegetation recovery is quantitatively analyzed, and the rainfall enhancement effect is analyzed by utilizing spatial-temporal dynamic change. According to the method, the influence of rainfall enhancement on the ecological environment can be evaluated more comprehensively and accurately, and a new scientific basis is provided for ecological restoration of arid regions.

The invention relates to the technical field of image discrimination, and further relates to a restoration supervision evaluation method based on mine ecological image discrimination, and the method comprises the steps: 1, carrying out the preprocessing of an obtained remote sensing multispectral image of a target mine region, and obtaining a preprocessed image; fusing the standard vegetation index, the bare soil area and the reflectivity ratio to obtain a vegetation recovery index; 2, dividing the preprocessed image into a plurality of ecological patches by using an image segmentation algorithm; calculating to obtain a slope stability index in combination with the crushing degree; 3, evaluating a hydrological recovery index corresponding to the water body area in the preprocessed image through the combination of short-wave infrared and near-infrared bands; and calculating a comprehensive restoration index of the target mine area in combination with the vegetation restoration index, the slope stability index and the hydrological restoration index. The method has the advantages of being high in adaptability, wide in monitoring range and the like, and the supervision efficiency and scientificity of mine repair engineering can be remarkably improved.

The invention relates to the technical field of forestry, and discloses an earth-rock mountainous area drought and barren difficult site partition coupling vegetation recovery method. According to the method, a composite fuzzy matter element-entropy weight method is adopted for calculation, and vegetation growth influence indexes on subdivided land parcels serve as independent variables; a similar drought and barren difficult site of a formed stable vegetation community area is used as a reference system, so that the type of an apical community formed by a certain subarea after vegetation is fully recovered is judged, and the European fitting degree is obtained when the plant biomass on a subdivided plot of the formed stable vegetation community area is used as a dependent variable; and measuring potential plant biomass of different partitions of the difficult site according to the Euclidean fitting degree. And judging which plants are suitable for growing in the partition according to the type of the apical community, and formulating a manual intervention means in a targeted manner, so as to ensure that the manual intervention means are suitable at each position. And then a specific plant combination and mixing mode is adopted to ensure that the mode of adopting different manual intervention means in different subareas is feasible in actual operation and mutual promotion among the subareas is realized.

The invention discloses an alpine grassland no-tillage restoration suitability evaluation method based on a 3S technology, and particularly relates to the technical field of data processing. Through the combination of multi-temporal satellite images and global positioning system data, the spatial dynamic change of the frozen soil layer of the alpine grassland and the long-term influence of the spatial dynamic change on vegetation growth are accurately obtained, and a frozen soil layer depth and distribution dynamic monitoring model is constructed based on multi-source remote sensing data and historical weather and soil temperature and humidity data. Analyzing the influence of freezing and thawing alternation on plant root growth; establishing a vegetation recovery potential index and a soil moisture supply index by combining the vegetation coverage and the dynamic change of the frozen soil layer, and generating a suitability partition map through a GIS spatial analysis and analytic hierarchy process; through field sampling and long-term vegetation growth monitoring data verification and model optimization, the accuracy of no-tillage restoration suitability evaluation is remarkably improved, and scientific and accurate decision support is provided for ecological restoration of alpine grassland.

The invention discloses a vegetation coverage prediction method and system based on multi-source data fusion, and relates to the technical field of vegetation coverage prediction, and the method comprises the following steps: obtaining historical vegetation coverage data and land utilization type data, and obtaining a matching time sequence of land utilization transformation and vegetation recovery lag; frequency band extraction is carried out on the matching time sequence based on Fourier transform, and the initial change frequency of the matching degree is obtained; performing random disturbance on the initial change frequency of the matching degree based on a preset first constraint condition to obtain a plurality of different matching degree change frequencies; obtaining vegetation coverage degradation influence data and ecological restoration potential data corresponding to different matching degree change frequencies, and constructing an evaluation model; and according to the data output by the evaluation model, the vegetation coverage prediction value of the preset first prediction model is corrected. The problem that the vegetation coverage prediction is inaccurate due to the fact that the relation fluctuation between the land utilization type conversion speed and the vegetation recovery lag degree is not considered is solved.

The invention relates to the technical field of desert vegetation recovery planning and monitoring systems, in particular to an intelligent desert vegetation recovery planning and monitoring system and method. And the planning optimization module is used for comparing and analyzing the image data of each time node in the data set to obtain the current ecological situation, carrying out simulation experiments based on different vegetation restoration schemes, and planning and designing vegetation restoration according to simulation experiment results. Obtaining a planning design scheme including a vegetation recovery type, a vegetation recovery region, different plant configuration, regional environment simulation and regional water system simulation; the monitoring module is used for monitoring the planning and design scheme, obtaining a vegetation image through an infrared sensor, and processing the vegetation image to obtain vegetation parameters; the service layer carries an artificial intelligence engine, undertakes core algorithm functions of data processing, change detection, growth prediction and the like, and provides an intelligent brain for scheme generation and problem diagnosis.

The invention discloses a bacillus microbial agent and application thereof in artificial improvement of deteriorated grassland, the microbial agent can improve soil and improve plant productivity so as to promote vegetation recovery and deteriorated grassland restoration, especially restoration of deteriorated grassland in alpine regions, and has the characteristics of high efficiency, environmental protection, economy, practicability and the like.

The invention discloses an ecological management method for an eroded gully in a high and cold wet steppe area, which comprises the following steps: firstly, cleaning sundries in the eroded gully, and then performing slope cutting treatment on the gully bottom and gully slope of the eroded gully; pine piles or gabion protection feet are arranged at the bottom of a ditch slope of the erosion ditch; gabion check dams and / or raft pile dams are arranged in the extending direction of the channel of the erosion gully at intervals; vegetation is planted on a ditch slope of the erosion ditch, and an ecological intercepting ditch is formed in the top of the ditch slope; the comprehensive protection system is constructed through the measures of the channel stepped gabion check dam, the log raft piles, the channel slope stabilizing structure, the ecological revetment, soil protection, vegetation recovery and the like, extension and expansion of the erosion gabion are prevented, the stable state of the gabion bank is kept, ecological balance is promoted through vegetation recovery, the anti-scouring, stability and ecological function of the erosion gabion bank are enhanced, and the ecological protection effect of the erosion gabion bank is improved. The problems existing in the prior art are solved, and the purpose of long-term effective ecological treatment of the erosion gully is achieved.

The invention discloses a power grid tower footing area vegetation restoration method based on biological source humic acid and application of the power grid tower footing area vegetation restoration method, and belongs to the technical field of ecological restoration and soil treatment. The technology aims at solving the problems of soil erosion and loss caused by environmental disturbance conditions such as vegetation damage in power grid construction, and the technical scheme mainly comprises the steps of adopting a soil improvement technology based on HFA or combining the HFA with other bio-fertilizers for use, and configuring a formula for plants suitable for planting and a vegetation management strategy. The method mainly comprises the following steps: measuring various physical and chemical factors of a soil sample around a tower footing, comparing the physical and chemical factors with an average (normal) value of local soil, and formulating the HFA use amount and concentration according to the results; investigating site conditions such as local weather, terrain, soil properties and the like, native plants and suitable plants, and formulating a plant planting formula and a comprehensive vegetation management scheme capable of iteratively growing in different seasons. According to the method, the vegetation restoration speed and environmental protection are both considered, and vegetation restoration and ecological environment improvement can be rapidly achieved.

The present invention relates to the technical field of ecological concrete slurry, and specifically to an ecological seed-carrying slurry for the slope of a mine dump, a preparation method and its application. Aiming at the special environmental characteristics of the Inner Mongolia mining area, the present invention prepares a new type of artificial aggregate containing growth domains and seeds, which is composed of a three-layer structure, each layer having a specific function, so as to achieve the purpose of promoting the germination of multi-source species, plant growth, providing nutrition and improving the soil environment. The slurry can not only effectively utilize solid waste and reduce costs, but also adopts in-situ point-type layered hole sowing to shorten the vegetation restoration cycle in the ecological restoration of the slope, greatly improve the survival rate of tree and shrub seed sources, reduce the number of watering times, save restoration costs, and reduce the workload of management. While effectively promoting vegetation restoration, it strengthens the stability of the slope, prevents soil and water loss, slows down runoff and consolidates the soil, providing an efficient and sustainable solution for the ecological restoration of green mines in Inner Mongolia.

The invention relates to a land second ploughing comprehensive evaluation and analysis method, a storage medium and a system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the soil data of a to-be-evaluated land; constructing a soil quality dynamic evaluation index mathematical model according to the soil data, and calculating a soil quality dynamic evaluation index of the land; establishing a vegetation recovery condition evaluation mathematical model according to the soil data, and calculating a vegetation recovery index of the land; constructing a landform recovery degree quantitative mathematical model according to the soil data, and calculating a landform recovery index of the land; establishing a comprehensive evaluation index calculation model, and performing comprehensive evaluation by fusing the soil quality dynamic evaluation index, the vegetation recovery index and the landform recovery index of the land to obtain a comprehensive evaluation index of the land; and based on the comprehensive evaluation index, performing evaluation result grading on land second ploughing and implementing dynamic early warning. According to the invention, the accuracy of land second ploughing comprehensive evaluation can be improved.

The invention discloses a quantitative prediction method for vegetation recovery duration under the influence of a drought event. The method comprises the following steps: extracting a time sequence of a vegetation state index and a soil water content of each grid point weekly scale in a research area; according to the vegetation state index time sequence, obtaining a lattice-by-lattice vegetation abnormal condition; identifying a soil drought event of the research area based on a soil moisture digit method, and extracting lattice-by-lattice drought typical features; in combination with the drought event and the corresponding vegetation abnormal condition, a vegetation accumulation horizontal curve is drawn, and the vegetation recovery duration is quantified by identifying the interval between the starting moment and the ending moment of vegetation recovery; and introducing an extreme gradient lifting tree model, and training and predicting the vegetation recovery duration after drought occurs at a future moment. According to the method, a new way is provided for quantifying the vegetation recovery duration, the method for predicting the vegetation recovery duration under the drought influence is established based on the machine learning algorithm, and technical support is provided for evaluating the response of an ecological system to drought.

The invention discloses a vegetation greening structure for a rock-soil side slope and a vegetation restoration method.The vegetation greening structure for the rock-soil side slope comprises a side slope, a vegetation plate frame and a partition plate set, the vegetation plate frame is used for containing whole vegetation, the partition plate set is used for orderly separating the vegetation, and two sliding grooves are formed in the vegetation plate frame. The vegetation recovery method for the rock-soil side slope comprises the following steps that S1, a pit slot of the side slope is embedded and fixed; s2, implanting and anchoring the anchoring part; s3, the rocker is driven to be unfolded; s4, the limiting device is clamped and locked; s5, planting the vegetation in different areas; s6, soil collection warning debugging; and S7, pouring concrete and sowing. The vegetation plate frame is installed and limited by nailing the installation assembly into the lower soil, and then the stabilizing part is nailed into the lateral soil, so that the stabilizing part extends deep in the soil, the connection strength of the vegetation plate frame and the slope is enhanced, the greening structure is effectively prevented from integrally sliding or displacing, and the vegetation plate frame is installed more stably.

The invention discloses an ecological restoration method for a subalpine meadow side slope after engineering disturbance, and the method comprises the steps: transplanting local native turf to a specific position of the side slope in a chessboard type layout mode, and stripping and filling the soil of the native turf into an unoccupied area except the transplanted turf, so that a local ecological system can be quickly restored, and the ecological restoration of the subalpine meadow side slope is facilitated. Meanwhile, the balance of a local ecological system is maintained, and the service function of the local ecological system is restored. According to the method, the local native turf is transplanted in a chessboard type layout mode, manpower and material resources are effectively saved, meanwhile, half of the native turf is transplanted to drive an original seed bank in soil to grow, vegetation coverage of the whole restoration area is promoted to be rapidly achieved, native vegetation is used for restoration, harm caused by using alien species is avoided, and the method is suitable for large-scale popularization and application. Meanwhile, the method has the advantages of low cost, high recovery speed, high survival rate and the like, and the purposes of recovering an ecological system by using local species and seed banks and recovering nature in a natural manner are achieved.

According to the integrated system and method for monitoring the water and soil loss and managing the vegetation recovery, the three-dimensional laser scanning module, the multiband LED light source module and the spectrum sensing module are integrated, and the system achieves an intelligent and accurate solution for monitoring the water and soil loss and managing the vegetation recovery during engineering construction. In the system, a three-dimensional laser scanning module is used for collecting three-dimensional data of the earth surface, analyzing the soil height change and calculating the water and soil loss amount; the multi-band LED light source module provides illumination of different wavelengths according to the growth stage of the vegetation to assist the rapid recovery of the vegetation; and the spectrum identification module analyzes the surface reflected light and evaluates the coverage and health condition of vegetation. Through remote data transmission and intelligent analysis, the system can automatically inform a user when vegetation recovery is completed, and the efficiency and accuracy of water and soil conservation work are greatly improved.

The invention provides an arid valley collapse body vegetation restoration method and device, and belongs to the technical field of ecological governance, the arid valley collapse body vegetation restoration method comprises the following steps: obtaining environmental data of a collapse body, determining candidate plant species based on the data, and generating a plurality of candidate restoration schemes; plant combinations of different ages are covered, long-term ecological benefits are ensured, water resource changes are dynamically simulated through a water balance model, water resource data in a collapsed body can be updated in real time, the long-term water resource changes can be predicted, and the adaptability index is determined in combination with water demand data of the plants at the current age. According to the method, the performance of the plant in the restoration scheme can be accurately evaluated, and then the most suitable scheme is selected from the plurality of candidate restoration schemes, so that the restoration plant can adapt to the environmental condition of the collapse body, and the long-term stability and the restoration effect of vegetation are improved.

The invention discloses a soil wind erosion treatment device which comprises a wavy grid structure, and the wavy grid structure is of a wavy three-dimensional structure formed by plastic sheets and is composed of a plurality of wave crest parts, a plurality of wave trough parts and grid units evenly distributed between the wave crest parts and the wave trough parts. A biomass rope is wound on the outer side of the trough part; the whole wavy grid structure is made of a plastic material with heat conductivity and an electrostatic adsorption function; the wave-shaped grid structure is fixed to the ground through anchoring inhaul cables. The whole soil wind erosion treatment device can be laid in a modularized mode, the wave crest arrangement direction and the anchoring point density are optimized according to the wind erosion terrain and the wind direction, and the soil wind erosion treatment device is suitable for wind erosion sensitive areas in arid and semi-arid areas. In practical application, the device can effectively relieve direct scouring of strong wind to surface sand grains, meanwhile, condensation, water catchment and sand stabilization are induced through the structure of the device, the ecological vegetation restoration process is gradually introduced, and the device has the ecological property and engineering property.

The invention discloses a forestry restoration vegetation state identification method and system based on image identification. The method comprises the following steps: obtaining a standard image sequence; segmenting the visible light image through an improved SegFormer network to obtain vegetation areas of different scales, and calculating vegetation canopy temperature distribution characteristics based on the thermal infrared image; extracting vegetation index features based on the multispectral image to obtain multi-scale feature data; according to the multi-scale feature data, utilizing an improved GAT model to process a vegetation spatial relationship graph, learning a spatial dependency relationship between vegetation areas through a multi-head attention mechanism, and generating a vegetation feature vector containing spatial information; and classifying the vegetation states by using an improved multi-scale fusion classifier in combination with the vegetation feature vectors, outputting a vegetation recovery index, and classifying the forestry restoration vegetation states according to the vegetation recovery index. The whole forestry restoration monitoring process is automatic, the monitoring efficiency is improved, and the labor cost is greatly reduced.

The invention discloses a slope vegetation coverage monitoring method based on unmanned aerial vehicle remote sensing. The method comprises the following steps: firstly, acquiring and smoothing a slope topographic data set, and extracting an inclination angle distribution diagram; and analyzing the vegetation coverage condition in combination with the orthoimage to obtain coverage distribution data. And analyzing the relevance between the vegetation coverage and the inclination angle, and calculating vegetation growth difference distribution. And utilizing deep learning to optimize inclination angle features, and if the relevance is lower than a threshold value, introducing micro-topographic feature correction. And finally, generating a microtopography guidance map, determining a vegetation optimization layout, and completing monitoring analysis. According to the invention, accurate monitoring and optimized layout guidance of the slope vegetation restoration condition are realized, and scientific basis and technical support are provided for slope ecological restoration.

The invention discloses a shrub and grass combined vegetation restoration and reconstruction method for a photovoltaic power station in a high-cold and high-altitude area, relates to the technical field of vegetation restoration and reconstruction, and aims to solve the problem that shrub and grass growth is not facilitated when the prior art is applied to the high-cold and high-altitude area. The method comprises the following steps; the method comprises the following steps: S1, soil improvement: improving the soil of a photovoltaic power station area in a high-cold and high-altitude area; s2, shrub and grass vegetation selection: selecting and using potentilla fruticosa and potentilla glauca to alternately plant in a vacant area between the photovoltaic panels according to the line spacing of 2m and the plant spacing of 1.5 m, then selecting and using elymus nutans and siberian wildrye, mixing the elymus nutans and the siberian wildrye according to the seed mass ratio of 1: 1, sowing in line in the shrub lines and the area below the photovoltaic panels, and the sowing rate per mu being 15-20kg; s3, later-stage maintenance management, wherein the planted shrub and grass vegetation is subjected to maintenance management. The method has the advantage of guaranteeing the growth and survival of shrub and grass vegetation.

A plateau permafrost region sand dune treatment system relates to the technical field of sand dune treatment and comprises a first treatment unit, a second treatment unit and a third treatment unit. The first treatment unit comprises a first treatment bottom layer and a first treatment top layer, and the first treatment bottom layer and the first treatment top layer are arranged in the height direction of the first sand dune; the first treatment top layer comprises a first coal gangue soil layer and a first vegetation layer, and the first vegetation layer is planted in the first coal gangue soil layer; the second treatment unit comprises a second treatment bottom layer and a second treatment top layer, and the second treatment bottom layer and the second treatment top layer are arranged in the height direction of the second sand dune; the second treatment top layer comprises a second coal gangue soil layer and a second vegetation layer, and the second vegetation layer is planted in the second coal gangue soil layer; and the third treatment unit is arranged in an area corresponding to the tuyere. Solid waste recycling and ecological restoration are deeply fused, the problem that a traditional sand stabilization material lacks ecological functions is effectively solved, and the sand stabilization material has the sand stabilization function and the vegetation restoration function.

The invention discloses an abandoned mining area vegetation recovery method based on a community succession law, and belongs to the field of abandoned mining area vegetation recovery. Comprising the steps of initial environment data intelligent collection and soil stress evaluation, succession pioneer community big data intelligent screening and matching, multilevel planting scheme optimization based on a self-adaptive genetic algorithm, intelligent soil improvement agent directional putting and whole-process dynamic monitoring and self-adaptive feedback regulation and control. Multi-dimensional environment data are obtained through means such as remote sensing and a sensing network, local dominant species are recommended and configured in a partitioned and staged mode by applying intelligent models such as multi-factor stress clustering, collaborative interaction succession adaptation and a genetic algorithm, and soil microorganism interaction is combined to optimize recovery measures. Vegetation and soil evolution is monitored in real time, dynamic adjustment and optimal succession driving are achieved, and scientificity, efficiency and sustainability of ecological restoration of the abandoned mining area are effectively improved.

The invention relates to the technical field of ecological concrete slurry, in particular to ecological seed-carrying slurry for a mine dump slope as well as a preparation method and application of the ecological seed-carrying slurry. Aiming at the special environment characteristics of an Inner Mongolia mining area, the novel growth domain-containing seed-carrying artificial aggregate is prepared, the aggregate is composed of three layers of structures, each layer has a specific function, and the purposes of promoting multi-source seed germination and plant growth, providing nutrition and improving the soil environment are achieved. The slurry not only can effectively utilize solid wastes and reduce the cost, but also adopts in-situ point type layered hole sowing, shortens the vegetation recovery period in slope ecological restoration, greatly improves the survival rate of arbor and shrub seed sources, reduces the watering frequency, saves the restoration cost, reduces the treatment workload, and improves the slope ecological restoration efficiency. While vegetation recovery is effectively promoted, slope stability is enhanced, water and soil loss is prevented and controlled, runoff is slowed down, soil is solidified, and an efficient and sustainable solution is provided for ecological restoration work of an Inner Mongolia green mine.

The utility model relates to the technical field of enclosures, in particular to a vegetation recovery enclosure device which comprises a vertical rod installation structure. A transverse rod mounting structure is mounted on the vertical rod mounting structure in an angle-adjustable mode, a plurality of angle adjusting butt joint structures are mounted on the vertical rod mounting structure and the transverse rod mounting structure, and an enclosure telescopic stop rod structure is mounted between the two angle adjusting butt joint structures. The vertical rod mounting structure ensures that the enclosure device can be stably mounted on a flat ground or an uneven soil slope under various topographic conditions, the enclosure device is not prone to displacement or toppling in the using process, the reliability of long-term use is ensured, and the angle adjusting butt joint structure and the enclosure telescopic stop lever structure are convenient to use. The device shows excellent flexibility and adaptability, the device can be flexibly installed and adjusted according to actual requirements no matter in soil slopes, mountainous regions or forest lands with different heights, the installation process can be simplified, and the working efficiency is further improved.

The invention discloses a method for evaluating the recoverability of vegetation in an engineering disturbance area. The current vegetation restoration engineering has many problems in practice. Eight key environmental indexes including monthly precipitation, monthly average temperature, soil utilization type, soil moisture content, soil freeze-thaw days, altitude, gradient and vegetation coverage are selected to assess regional ecological conditions, standardized processing and multi-factor overlay analysis are adopted, grid algebraic operation is combined, processed data are substituted into a vegetation recoverability assessment model, and a vegetation recoverability assessment model is established. Results are visualized through a GIS spatial analysis technology, an evaluation chart is generated, and comprehensive evaluation of vegetation restorability is achieved; and a geographic detector model is further utilized to detect and analyze key factors influencing the vegetation restorability and the interaction of the key factors. According to the method, the problem of low vegetation restoration efficiency or failure caused by lack of scientific evaluation in the existing vegetation restoration project is solved.

The invention relates to the technical field of water and soil conservation and ecological restoration, in particular to a rapid restoration method for native landforms and vegetation in a northwest construction disturbance area. The method comprises the following steps: before construction, performing investigation and sampling analysis on vegetation types and soil layers of a to-be-disturbed area, and acquiring topographic and geomorphic information of the construction disturbed area by adopting an unmanned aerial vehicle; in the construction process, shrubs in a construction disturbance area are numbered and transplanted, and turfs and soil of all layers are stripped in a layered mode; after construction is finished, soil backfilling maintenance is conducted according to the soil profile hierarchical configuration; shrub plants are transplanted, herbaceous plants are sown, and meanwhile vegetation in the construction disturbance area is managed and maintained. According to the method, the steps are clear, a complete system is formed through a series of operations including vegetation and soil investigation, transplanting, stripping, backfilling, sowing, maintenance and the like, all the steps are closely connected, operation confusion and repeated labor are avoided, and the efficiency and effect of landform disturbance and vegetation recovery work are improved.

The invention discloses an automatic monitoring system for water and soil conservation of a runoff plot. The automatic monitoring system comprises a multi-dimensional sensor network, an edge intelligent processing node and a cloud collaborative analysis platform. The invention relates to the technical field of water and soil conservation monitoring, in particular to an automatic monitoring system for water and soil conservation of a runoff plot, which integrates total factor data of vegetation, soil, runoff and the like through a multi-dimensional sensor network and breaks through the limitation of traditional single-parameter monitoring. The edge intelligent processing node realizes data real-time analysis and abnormal early warning, and solves the delay problem of cloud dependence; low-power-consumption communication and an energy strategy guarantee long-term stable operation in a complex environment; the cloud collaboration platform deeply analyzes a water and soil loss rule based on a fusion model and GIS visualization, provides quantitative decision support for measures such as vegetation recovery and engineering soil fixation, constructs a complete closed loop of collection-processing-analysis-decision, and comprehensively improves the accuracy and intelligent level of water and soil conservation monitoring.