271 results about "Vegetation cover" patented technology

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 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 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 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 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 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.

The invention relates to the technical field of geological environment monitoring, in particular to a stability monitoring method for ecological slope protection of an expressway. The method comprises the following steps: acquiring remote sensing data of an expressway monitoring area; performing water and soil loss area detection according to the remote sensing data of the highway monitoring area to obtain water and soil loss area data; performing erosion intensity analysis according to the water and soil loss area data to obtain erosion intensity data; extracting vegetation coverage data of the water and soil loss area data; performing drainage clogging analysis according to the vegetation coverage data and the erosion intensity data to obtain drainage clogging data; performing soil stability analysis based on the drainage clogging data to obtain soil stability data; and detecting the soil compaction degree according to the soil stability data. Based on the geological environment monitoring technology, the detection and prediction precision of water and soil loss, soil stability and ecological slope protection stability of the highway monitoring area is improved, and the landslide prevention and ecological protection efficiency is improved.

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 improvement effect evaluation system and method based on soil corrosion prevention, soil moisture conservation and fertility improvement, and relates to the technical field of soil optimization. A soil corrosion prevention index is generated based on a soil loss rate, a soil stability index and a vegetation coverage rate; generating a soil moisture preservation index based on the water holding rate, porosity and evaporation water loss of the soil sample; according to the method, a soil fertility improvement index is generated by measuring the total content of organic matters, nitrogen phosphorus and potassium and the pH value, and further sampling and normalization are carried out on each index in a secondary test area to generate a comprehensive evaluation index, so that scientific quantitative evaluation is carried out on the soil improvement effect, and a decision basis is provided for soil protection and agricultural sustainable development.

The invention provides a remote sensing estimation method for high spatial-temporal resolution crop evapotranspiration in an arid and semi-arid region, which comprises the following steps of: acquiring cloudless or less-cloudless high spatial resolution optical remote sensing data of a crop growing season in a research region, and calculating or inverting remote sensing earth surface parameters required by high spatial resolution evapotranspiration; comprising a vegetation index NDVI, a leaf area index LAI, a vegetation coverage FVC, a surface water index LSWI and a surface albedo; the method comprises the following steps: acquiring meteorological reanalysis data of daily scales ERA5-Land and GLADAS of a research area, wherein the meteorological reanalysis data comprises relative humidity RH, average temperature Ta, air pressure Pa, solar short-wave radiation # imgabs0 #, downward long-wave radiation # imgabs1 # and upward long-wave radiation # imgabs2 #; according to the technical scheme, multi-source remote sensing data, an evapotranspiration physical model and a space-time fusion technology based on evapotranspiration characteristics are utilized, and estimation of high space-time resolution evapotranspiration of the arid and semi-arid agricultural areas is achieved.

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.