317 results about "Vegetation cover" patented technology

The invention provides a green land carbon sink amount estimation method for ecological restoration planning, and the method comprises the steps: precisely collecting the vegetation coverage rate, species distribution, soil type and other data of a green land through integrating remote sensing images, unmanned aerial vehicle monitoring, a geographic information system and other technical means; the method comprises a vegetation carbon reserve model, a soil carbon reserve model and an environmental factor correction module, the vegetation carbon reserve is calculated by adopting an Allometric model, the soil carbon reserve is subjected to multi-layer estimation, and the carbon sink amount is corrected by utilizing meteorological conditions and topographic factors, so that the accuracy and applicability of estimation are improved, and the estimation accuracy is improved. According to the method, dynamic estimation of the carbon sink amount is realized through time sequence analysis and in combination with vegetation growth cycles and seasonal changes, and visual result display and decision support functions are provided. The method is widely applicable to various ecological environments such as urban green land, wet land and mountain land, and scientific basis is provided for ecological restoration planning and carbon sink monitoring.

The invention discloses a land degradation supervision method based on remote sensing monitoring, and relates to the technical field of land degradation monitoring. The method is used for solving the problems of hidden degradation risk identification and dynamic propagation simulation. According to a multi-temporal thermal infrared remote sensing image, daily variation characteristics of surface temperature are extracted through spectral analysis, a recessive salinization risk distribution map is constructed by combining measured data of soil salinity, and interference of vegetation coverage is overcome. And multi-source remote sensing and geographic data are fused, dominant driving factors significantly associated with the salting risk are screened, and the degeneration cause is clarified. And in combination with ecological restoration potential and treatment resource constraints, calculating an antagonism index of a driving factor and the restoration potential, and dividing degradation threat levels. And a natural hydrology and human activity dual-path propagation model is constructed, a risk space-time evolution process is simulated, and a future hotspot migration path and an optimal blocking window are predicted. According to the method, accurate early warning and active prevention and control of land degradation are realized through a technical chain of risk identification, driving analysis, threat grading and dynamic simulation.

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 provides a photovoltaic array layout method and system based on mountain topography, and relates to the field of photovoltaic array layout, and the method comprises the steps: obtaining the gradient, the slope direction, the vegetation coverage rate and the current sunshine duration corresponding to each sub-grid region; inputting the gradient, the slope direction, the vegetation coverage rate and the current sunshine duration corresponding to the sub-grid region to a preset photovoltaic installation preset model to obtain a layout expected value; determining the layout areas as expected layout areas, splicing all the expected layout areas with the adjacency relation to obtain all to-be-laid areas, and removing the to-be-laid areas with the area smaller than a preset area to obtain all removed areas; and by taking generation power maximization, shadow shielding loss minimization and photovoltaic module installation total cost minimization as objective functions, outputting a layout optimal solution by using a genetic algorithm, and performing photovoltaic array layout on the region after elimination by using the layout optimal solution. According to the method, the suitability of each sub-grid region is accurately evaluated, so that the accuracy of the photovoltaic array layout is improved.

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 provides an ecological environment evaluation method and device for a coal mine area and a mining area environment evaluation system. The method comprises the steps that a plurality of environmental indexes of a coal mine area are obtained, and the environmental indexes comprise one or more of soil quality, water quality index, vegetation coverage rate, air quality index, noise level, waste water discharge amount, waste gas discharge amount, biodiversity index, heavy metal content and greening coverage area; the relevancy between the environment indexes is obtained, and the relevancy is the changed relevancy degree between any two environment indexes; a first weight coefficient is determined according to the relevancy, and the first weight coefficient and the relevancy are in positive correlation; and performing weighted average at least according to the plurality of environment indexes and the first weight coefficients corresponding to the environment indexes to obtain an evaluation score. According to the scheme, the problem of low accuracy of the evaluation result of the coal mine environment in the prior art is solved.

The invention relates to the technical field of geophysical exploration, in particular to an exploration surveying and mapping method based on remote sensing and a surveying and mapping instrument thereof. The exploration surveying and mapping method based on remote sensing comprises the following steps: step 1, multi-platform collaborative data dynamic acquisition; step 2, multi-modal data fusion and feature enhancement: vegetation noise filtering is performed on the laser radar point cloud data, and a surface terrain model under vegetation coverage is reconstructed; seismic wave speed data and ground penetrating radar dielectric constant data are combined to construct an underground medium physical property combined distribution model; associating the reflectivity characteristics of the multispectral image with the underground physical property parameters, and identifying a geological abnormal region; and step 3, hidden geologic body dynamic modeling and risk assessment. By means of the method, real-time monitoring and risk assessment of the complex geologic body can be achieved, and the geological disaster prediction and prevention and control capacity is greatly improved.

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 relates to the technical field of computer aided design and intelligent optimization, in particular to a sponge park multi-objective collaborative optimization design method based on an LID technology, and the method comprises the steps: building an LID facility parameterized database through collecting the multi-source data of geographic space, hydro meteorology and the like; a multi-objective collaborative optimization model covering hydrological, ecological, economic and social benefits is established, a mixed intelligent optimization algorithm composed of an improved NSGA-II algorithm and an enhanced particle swarm optimization algorithm is used for solving, and a Pareto optimal solution set is generated; screening a comprehensive optimal scheme by means of an SWMM and GIS coupling technology and an improved TOPSIS method; an Internet of Things monitoring network and a digital twinborn system are deployed, and self-adaptive dynamic optimization of a design scheme is realized according to triggering conditions such as runoff coefficient deviation and vegetation coverage rate change. The method breaks through the limitation of a traditional single target, remarkably improves the comprehensive benefits of the sponge park through multi-target cooperation, intelligent algorithm optimization and dynamic adjustment, and guarantees the long-term stable operation of the sponge park in a complex environment.

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 sponge park engineering design, in particular to a sponge park low-impact development engineering design method based on multi-objective optimization, and the method comprises the steps: firstly determining rainwater management, ecological and economic objectives and weights, enabling the rainwater management objectives to cover the collection rate and the permeability, enabling the ecological objectives to comprise biodiversity and vegetation coverage, and enabling the economic objectives to comprise the vegetation coverage; the economic target relates to construction and maintenance cost; then collecting various data of the region and analyzing the current situation, constructing a multi-objective optimization model, and optimizing a design scheme through genetic or particle swarm optimization; then generating a plurality of schemes, evaluating the performance of the schemes on each target, screening an optimal scheme by adopting an analytic hierarchy process, and refining the design; and finally, establishing a spongy effect evaluation system, performing regular evaluation, and feeding back optimization according to a result. According to the method, multiple targets can be comprehensively optimized, the design scientificity and accuracy are improved, the park function and adaptability are enhanced, sustainable development is promoted, and effective support is provided for sponge park design.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

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 provides a drainage basin ecological environment evolution analysis method and system combined with a remote sensing image, and relates to the technical field of remote sensing. Firstly, a multi-temporal remote sensing image data set covering a target drainage basin and provided with time stamps is obtained, and then ecological feature extraction is carried out on the multi-temporal remote sensing image data set; spatial distribution features and time sequence features of drainage basin ecological elements are obtained, then ecological evolution mode analysis is executed based on the spatial distribution features and the time sequence features, and ecological state transition features of different time nodes are generated; the method comprises the following steps of: determining a drainage basin ecological environment evolution trend including stability, degeneration and restorability directions according to an ecological state transition characteristic, and finally generating a drainage basin ecological environment evolution analysis result containing a time node corresponding relation, so as to obtain a drainage basin ecological environment evolution analysis result. The method is used for indicating a historical evolution process and current state positioning information of a watershed ecological environment.

The invention relates to a landscaping coverage rate data statistical method. Comprising the steps of generating independent greening coverage rate data of each layer based on vegetation multi-dimensional stratified analysis of ecological characteristics, and obtaining an overall greening coverage rate through a superposition algorithm; calculating a dynamic coverage rate based on plant spectral characteristics, then calculating a green coverage rate actually participating in an ecological function based on an evaluation result, and adjusting coverage rate data in real time according to a plant health state to obtain the dynamic coverage rate; correcting coverage rate data by analyzing soil humidity and air temperature environmental factors in different time periods based on ecological influence weights of spatial and temporal changes; the ecological functional indexes are associated with the greening coverage rate; according to the method, the vegetation coverage rate and real-time environment data are coupled to construct a statistical model, and then adjusted data are combined with multispectral remote sensing data to form coverage rate evaluation; by introducing an ecological compensation mechanism, the dynamic process of landscaping change is simulated.

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 a method for regreening gobi deserts by utilizing microalgae crust and application, and belongs to the technical field of ecological restoration. The method mainly adopts a mode of combining microalgae spraying liquid with an engineering remediation method. When the microalgae spraying liquid is prepared, indigenous microalgae and known domesticated desert algae are mixed and co-cultured to prepare a spraying agent, and then soil bacillus is added before spraying. The engineering regulation method mainly comprises the following steps: forming a concave-convex structure by piling up soil mound bags and digging ditches, increasing the specific surface area of the growth of the microalgae spraying liquid by using the uneven land surface layer, and reducing the evaporation speed of the moisture of the microalgae spraying liquid by using the concave land, thereby promoting the growth rate and adaptability of the microalgae and improving the skinning efficiency. In addition, nutritional functional organic fertilizers and / or nano conditioners need to be added into the soil to be remediated in advance. According to the method, the vegetation coverage rate can be increased to about 60% from the initial nearly zero, the gobi desert ecological environment can be obviously improved, the soil salinity and alkalinity can be obviously reduced, and the soil water retention capacity is enhanced.

The invention discloses a vegetation coverage and management measure remote sensing inversion method combining multi-angle remote sensing data and layered vertical vegetation coverage, and the method comprises the following steps: (1), obtaining a multi-angle remote sensing data set, and carrying out the preprocessing of the multi-angle remote sensing data set; (2) selecting an optimal wave band through Borson correlation analysis and XGBoost feature screening; (3) estimating a C factor and a structured vegetation index S-Cs; (4) simulation of leaf reflectivity and transmissivity is carried out, and then vegetation canopy reflectivity is simulated; (5) converting the high spectral reflectivity of the vegetation canopy into equivalent remote sensing reflectivity of a satellite wave band, calculating vegetation indexes, and selecting the vegetation index with the highest correlation to participate in inversion and modeling of a leaf area index LAI; (6) determining an optimal angle combination and evaluating an inversion result of LAI; (7) establishing a novel quantitative coupling relation model between the multi-angle LAI and the SCs and between the SCs and the C factor, and then inverting the C factor; the invention provides a technical means with high practicability for monitoring the dynamic change and expansion process of soil erosion.

The invention discloses a thick vegetation coverage area point cloud filtering method and system based on implicit neural representation, and belongs to the technical field of point cloud filtering, and the method comprises the steps: obtaining point cloud data, building a self-adaptive irregular grid according to the point cloud data, segmenting the point cloud data based on the self-adaptive irregular grid, and obtaining the point cloud data of a plurality of sub-regions; inputting the point cloud data of each sub-region into an up-sampling framework based on an implicit neural network to obtain global point cloud data; and carrying out filtering processing on the global point cloud data based on a multi-scale feature point cloud filtering algorithm, and outputting a global point cloud ground point set. By setting an adaptive irregular grid, the density of the grid is automatically adjusted, so that the fine segmentation of the point cloud data of the thick vegetation coverage area is realized; an upsampling framework based on an implicit neural network is adopted to solve the sparsity of the point cloud; a multi-scale feature point cloud filtering algorithm is used for filtering global point cloud data, and the filtering effect on ground objects and vegetation at all levels is improved.

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 discloses a river health evaluation method suitable for northern water-deficient cities, and relates to the technical field of environmental science and engineering.The system comprises the following steps that the pH value, the dissolved oxygen concentration and the total electrolyte amount are monitored through a pH sensor, a dissolved oxygen sensor and a conductivity sensor, the river water surface, the river channel and the surrounding environment are monitored through a GIS, and the river health evaluation result is obtained. Comprising a land utilization type, a vegetation coverage rate and a river bank erosion condition, collecting environmental problems uploaded by the public through a mobile phone APP, and investigating the satisfaction degree of the public to the environment; a river health evaluation system is constructed, the trend of river health is predicted, and potential factors affecting river health are identified; and according to a prediction result, configuring a decision support system to assist in making a management strategy, and regularly reviewing and evaluating system effectiveness. The river health evaluation method and management system are continuously optimized by dynamically adjusting river management and protection work according to a dynamic adjustment result, and the river ecological system of northern water-deficient cities is effectively protected for a long time.

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.

The invention relates to the technical field of carbon flux monitoring, and particularly discloses a carbon flux monitoring method and system based on soil drought remote sensing data, and the method comprises the steps: respectively collecting soil humidity remote sensing data and a soil vegetation coverage remote sensing image through a microwave sensor and an optical remote sensing sensor; performing resampling on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image to realize spatial resolution alignment, and performing spatial distribution feature extraction on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image after spatial alignment by adopting a deep learning algorithm; and pixel-level significance enhancement and fusion processing are carried out on the captured soil humidity distribution characteristics and vegetation distribution characteristics, so that nonlinear modeling of a dynamic influence mechanism of the soil drought degree on the vegetation growth state is realized, and intelligent estimation of the carbon flux is realized on the basis. In this way, the nonlinear regulation and control effect of soil drought stress on vegetation respiration and photosynthesis can be effectively described, and the efficiency and coverage range of carbon flux monitoring are improved.

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 relates to the technical field of agriculture, and discloses an intelligent forest and grass planting and reseeding method which comprises the following steps: S1, collecting multi-modal data of vegetation, soil and weather through remote sensing of an unmanned aerial vehicle and a ground sensor, and generating a comprehensive monitoring report by using a multi-modal data fusion algorithm; s2, analyzing a vegetation health state based on the fused data, delimiting a reseeding priority region, and generating a reseeding map and path planning; s3, performing reseeding on the target area according to the planned path by adopting modular intelligent seeding equipment, and dynamically adjusting seeding parameters; and S4, regularly monitoring the reseeding area, generating a reseeding effect evaluation report, and optimizing a secondary reseeding scheme according to an evaluation result. According to the invention, multi-dimensional data such as vegetation coverage rate, health index, soil humidity, temperature, nutrient content and the like are comprehensively acquired through the multi-modal data acquisition module by using a multi-spectral camera carried by the unmanned aerial vehicle, a thermal infrared sensor and a ground sensor network.

The invention relates to the technical field of remote sensing technology application, in particular to a cold highland area runoff analysis method based on a remote sensing technology, which comprises the following steps of: constructing a time sequence data set based on remote sensing and laser radar data, and extracting gradient, soil permeability and vegetation coverage to form a landform factor set; calculating a parameter contribution ratio through a topographic index hydrological model to generate a path influence value, extracting layer features to generate a runoff path diagram, outputting water volume change data by combining a standardized rainfall index and a Muskingum model, performing conjoint analysis to remove paths which do not meet conditions, and generating an updated runoff path diagram. According to the method, a time sequence data set is constructed through remote sensing and laser radar data of the cold and cold mountainous area, a terrain index hydrological model is input to quantify contribution, a path influence value is dynamically adjusted, a runoff path line segment sequence is generated, hydrodynamic simulation is performed in combination with a rainfall index, a water volume change record is obtained, and runoff dynamic monitoring is performed. And the path judgment precision and simulation reliability of the cold-cold mountain area are improved.

The invention discloses a grass planting method under a grazing-light complementary grassland slope photovoltaic module, relates to the technical field of photovoltaic power generation and ecological restoration, and aims to solve the problem that in the prior art, normal growth of grass seeds in the area is difficult to guarantee by common spray-seeding density. The method comprises the following steps: S1, pretreating a side slope, cleaning sundries on the side slope below a photovoltaic module mounting area, and digging steps in an area with the gradient being greater than 30 degrees, so that the distance between the step layout and a photovoltaic module array is kept at a safe distance of 0.5-1m; s2, soil improvement: soil shielded by the photovoltaic module is detected, lime is added into the detected acid soil to adjust the PH value to 6.5-7.5, and when 10-15 kg of decomposed cattle and sheep manure is mixed in each square meter, the range of 50 cm of a module foundation embedded part needs to be avoided; s3, grass seed selection and treatment, wherein grass seeds with the proper shade-tolerant adaptation degree are selected. The method has the advantages that the problem that the germination rate of grass seeds is low in a weak light environment is solved, and the slope vegetation coverage rate is effectively guaranteed.

The invention discloses a restoration method for improving salinized grassland, and relates to the technical field of ecological environment restoration. Physically, a laser land leveling instrument is combined with topographic surveying and mapping to control the land flatness, and an intelligent irrigation and drainage system is constructed; chemically, a novel composite modifier is prepared to regulate soil; biologically, saline-alkaline tolerant grass seeds are treated to construct communities, and microbial agents are applied. And meanwhile, a monitoring network is constructed for precise monitoring and regulation, the cost is reduced by utilizing agricultural wastes and local materials, and sustainable development is realized. The method can effectively reduce the soil salinity, adjust the pH value, improve the vegetation coverage rate, increase the number of soil organic matters and microorganisms, and realize saline-alkali grassland soil improvement, vegetation recovery and ecological sustainable development.