69 results about "Wetland vegetation" patented technology

The invention provides a wetland vegetation intelligent monitoring method and system based on multi-dimensional data fusion, and the method comprises the following steps: collecting a water area unmanned plane image of a wetland water area through a monitoring unmanned plane, and obtaining a water area remote sensing image of the wetland water area through a remote sensing satellite; the water area unmanned aerial vehicle image and the water area remote sensing image are fused into a water area fusion image, the submerged vegetation distribution condition is recognized, and a submerged vegetation monitoring route is planned; the underwater monitoring robot is controlled to continuously detect a wetland water area, and a submerged vegetation standard image and a submerged vegetation multispectral image are collected at the same time; performing image enhancement on the submerged vegetation standard image through a submerged vegetation identification model, and identifying and marking target submerged vegetation from the submerged vegetation enhanced image; selecting a target multispectral region containing target submerged vegetation from the submerged vegetation multispectral image; and vegetation feature data of the target submerged vegetation are calculated based on the target multispectral region. According to the invention, related data of submerged vegetation can be continuously and accurately monitored.

The invention provides a coastal salt marsh vegetation and sediment deposition comprehensive carbon sink assessment method and system. The system comprises a vegetation dynamic module, a water power module, a carbon dynamic module and a vegetation dynamic-water power-carbon dynamic coupling module. Output results are divided into vegetation-water and sediment-landform space-time dynamic and ecological system carbon exchange space-time dynamic, and the results are used for landform development and carbon sink dynamic evaluation of the salt marsh-light beach system. On the basis of development of a grid type process model, a vegetation dynamic model, a hydrodynamic model and a carbon dynamic model are coupled together, a biogeochemical coupling model integrating interaction among biological, hydrological and geomorphic processes is constructed, and a biogeochemical process of coastal salt marsh vegetation dynamic and sediment carbon sink is parameterized; and an effective evaluation technology can be provided for community development and carbon sink dynamics of coastal wetland vegetation.

The invention discloses a coastal wetland vegetation degradation dynamic monitoring method based on multi-modal transfer learning, and belongs to the technical field of ecological environment monitoring, and the method comprises the steps: data acquisition: collecting coastal wetland region data through a plurality of sensors, feature extraction and fusion: preprocessing multi-source data, extracting space, time series and physical parameter features, and carrying out feature fusion; and fusing the data features of different modalities. According to the method, all-around and high-precision perception of the coastal wetland ecological environment is realized, the spatial-temporal resolution of data acquisition is improved, the response capability to complex environmental factors is enhanced, the generalization capability and prediction precision of the model are effectively improved, key environmental factors such as soil salinity can be incorporated into an evaluation system, and the evaluation accuracy is improved. The scientificity and pertinence of ecological risk identification are further improved, the efficiency and response speed of coastal wetland ecological management are improved, and powerful support is provided for formulating scientific and reasonable ecological protection and restoration measures.

A method of creating a wetland in a hot, arid, location includes identifying or establishing a channel of flowing water at the arid location, and installing therein a mat containing seeds, and / or seedlings, and a super absorbent polymer (SAP). Water from the channel is applied to hydrate the SAP, and both edible and dam-constructing vegetation is allowed to grow and mature from the seeds and / or seedlings. Beavers are then introduced into the arid location, which eat the edible vegetation and use the dam-constructing vegetation to construct at least one dam across the channel of flowing water, thereby forming a wetland that further encourages both the vegetation and the beavers to propagate. A perforated, transparent or translucent cover sheet can be placed on or suspended above the mat. A water barrier can be placed below the mat. The wetland vegetation cools and humidifies the environment by transpiration of water.

A method of creating a wetland in a remote arid location includes identifying or establishing a channel of flowing water at the arid location, and installing therein a mat containing seeds, and / or seedlings, and a super absorbent polymer (SAP). Water is applied to the SAP, such that both edible and dam-constructing vegetation grows and matures from the mat. Beavers are then dropped into the arid location by parachute in containers that open upon landing. The beavers eat the edible vegetation and use the dam-constructing vegetation to construct at least one dam across the channel of flowing water, thereby forming a wetland that further encourages both the vegetation and the beavers to propagate. A perforated, transparent or translucent cover sheet can be placed on or suspended above the mat. A water barrier can be placed below the mat. The wetland vegetation cools and humidifies the environment by transpiration of water.

A method of creating a wetland in a hot, arid, location includes identifying or establishing a channel of flowing water at the arid location, and installing therein a mat containing seeds, and / or seedlings, and a super absorbent polymer (SAP). Water from the channel is applied to hydrate the SAP, and both edible and dam-constructing vegetation is allowed to grow and mature from the seeds and / or seedlings. Beavers are then introduced into the arid location, which eat the edible vegetation and use the dam-constructing vegetation to construct at least one dam across the channel of flowing water, thereby forming a wetland that further encourages both the vegetation and the beavers to propagate. A perforated, transparent or translucent cover sheet can be placed on or suspended above the mat. A water barrier can be placed below the mat. The wetland vegetation cools and humidifies the environment by transpiration of water.

A method of creating a wetland in a remote arid location includes identifying or establishing a channel of flowing water at the arid location, and installing therein a mat containing seeds, and / or seedlings, and a super absorbent polymer (SAP). Water is applied to the SAP, such that both edible and dam-constructing vegetation grows and matures from the mat. Beavers are then dropped into the arid location by parachute in containers that open upon landing. The beavers eat the edible vegetation and use the dam-constructing vegetation to construct at least one dam across the channel of flowing water, thereby forming a wetland that further encourages both the vegetation and the beavers to propagate. A perforated, transparent or translucent cover sheet can be placed on or suspended above the mat. A water barrier can be placed below the mat. The wetland vegetation cools and humidifies the environment by transpiration of water.

The invention discloses an emergent vegetation management method for increasing a biological carbon sequestration function, and belongs to the technical field of ecological system management and restoration, and the method comprises the following steps: in the stable growth period of emergent vegetation, discharging part of wetland moisture, and carrying out first mowing on overground parts of plants above the water surface; after the emergent vegetation further grows, the water level is restored to the end of the growth season, finally water is drained, secondary mowing is carried out, and all the emergent vegetation on the ground is harvested. According to the method, the overground biomass is increased through the plant photosynthetic carbon sequestration function by adjusting the appropriate harvesting time and mode of the wetland emergent vegetation, and therefore the biological carbon sequestration amount is increased. Compared with a traditional method for harvesting wetland vegetation at a time, the method has the advantages that the plant growth rate is remarkably increased, the overground biomass of the plants and the accumulation of organic carbon in surface soil are promoted, and the improvement of the wetland carbon sequestration function is facilitated.

The invention discloses a tidal wetland space-time evolution monitoring method based on Landsat, and the method comprises the following steps: S1, obtaining multi-temporal Landsat remote sensing image data of a target region, and carrying out the consistency preprocessing; s2, on the basis of the preprocessed multi-temporal Landsat remote sensing image data, constructing a spectral index time sequence including NDWI, NDVI, PSRI and NIRv; s3, generating a key period image based on the spectral index time sequence; s4, performing initial classification of tidal flat and wetland vegetation based on the image in the key period to obtain an initial classification map year by year; s5, based on the spectral index time sequence, performing segmentation by using a LandTrendr algorithm, and performing time sequence consistency optimization on the initial classification graph according to an obtained segmentation result to obtain an optimized classification result; and S6, performing post-processing on the optimization classification result to generate a tidal wetland year-by-year dynamic classification data set. According to the method, the high-quality data set capable of accurately reflecting year-by-year dynamic evolution of the tidal wetland can be generated.

The embodiment of the invention discloses a method for inverting satellite image wetland biomass based on unmanned aerial vehicle data, and relates to the technical field of remote sensing information processing, and the method comprises the steps: obtaining a satellite image of a target research region, and carrying out the preprocessing of the satellite image, calculating broadband vegetation index distribution of the satellite image based on the preprocessed satellite image, inputting the broadband vegetation index distribution into the trained wetland biomass inversion model, and performing inversion based on the broadband vegetation index of each pixel in the satellite image to obtain the wet biomass of the corresponding pixel; and outputting a wet biomass distribution diagram of the target research area. According to the method, the multi-variable-based wetland biomass inversion model is established by combining the high-resolution satellite data, so that the precision of directly inverting the vegetation biomass through the satellite image is improved, the precision of the data obtained by monitoring the wetland vegetation biomass can be improved, and data support can be provided for wetland vegetation parameter inversion, environment monitoring and carbon sink research.

The invention provides a wetland vegetation terrain inversion method and system based on unmanned aerial vehicle data and machine learning fusion, and the method comprises the steps: obtaining an unmanned aerial vehicle multispectral image and laser radar point cloud data of a target wetland area, and generating a vegetation coverage area multidimensional data set through combining with RTK actual measurement ground elevation sampling points; the feature parameters and the terrain correlation parameters are stored in a vegetation feature set and a terrain correlation parameter set; forming a training sample set by the vegetation characteristic parameters, the terrain correlation parameters and RTK actual measurement ground elevation, constructing a terrain inversion model, and calculating a mapping relation between the vegetation characteristic parameters and the terrain correlation parameters and the ground elevation; calculating the feature correlation degree between the vegetation feature parameters and the terrain correlation parameters in the training sample set and the ground elevation, and the cross-modal coupling degree between the parameters; calculating a terrain inversion confidence coefficient according to the feature correlation degree, the cross-modal coupling degree and the parameter weight; and generating a ground elevation inversion result. According to the invention, the precision and reliability of terrain inversion of the vegetation-covered area can be improved.

The invention provides an arid region salt marsh grassland wetland water supplement regulation and control method and a related device, and the method comprises the steps: determining the ecological water demand and deficiency corresponding to a target region according to the wetland vegetation evapotranspiration, precipitation and underground water-soil water exchange flux of the target region in a target time period, the target area is any area in the salt marsh grassland wetland in the arid area; determining a water quantity adaptive gap corresponding to the target area according to the earth surface water supplementing quantity and the ecological water demand deficit quantity of the target area in the target time period; and performing water supplementing regulation and control on the target area according to the water quantity adaptive gap. According to the accurate evaluation result of the water volume adaptation gap, a refined drip irrigation technology is adopted to carry out ecological water supplementation on the salt marsh grassland wetland, the requirements of plants for water in all stages of the whole life cycle are ensured, and the stability and adaptability of a wetland ecological system are improved; and multi-target collaborative development of hydrological communication, biodiversity improvement, habitat optimization and the like of the wetland ecosystem is realized.

The invention relates to a wetland vegetation extraction method and system based on spatial-temporal feature fusion, and belongs to the field of wetland remote sensing intelligent interpretation. The problems that an existing wetland vegetation classification method does not make full use of remote sensing data time sequence features, and the wetland vegetation extraction precision is insufficient are solved. According to the technical scheme, a single optical multi-temporal remote sensing image is used as input, frequency domain decomposition and convolution long and short time memory network modeling long-term phenology and short-term fluctuation are carried out through a time-frequency enhancement time sequence branch, and spectral grouping of a spectral space branch and cavity convolution multi-scale feature extraction are combined; and a cross-domain cross attention fusion module is utilized to realize time sequence spectral space three-dimensional feature deep fusion, and finally a wetland vegetation community classification map is output. On the premise of not depending on multi-source data, the time-frequency enhanced double-branch space-time model is innovatively provided, the multi-temporal remote sensing data time sequence feature self-adaptive extraction capacity can be effectively improved, the classification stability and robustness are improved, and finally the remote sensing monitoring precision of a wetland ecosystem is improved.

The invention relates to the technical field of ecological environment protection and restoration, and provides a karst area lakeside wetland vegetation pollution reduction and carbon sequestration method, and a vegetation combination comprises Acorus calamus (Acorus calamus), Nymphaea tetragona (Nymphaea tetragona (Nymphaea tetragona) and Myriophyllum sphaeroides (Myriophyllum sphaeroides). According to the vegetation combination, special environmental conditions of the karst area are fully considered, the carbon sink capacity of the lakeside wetland of the karst area can be effectively improved, water pollution is reduced, and the dual effects of pollution reduction and carbon sequestration are achieved; and the planting success rate of the aquatic plants in the karst lakeside wetland can be increased, the pollution reduction and carbon sequestration capabilities of the aquatic plants are enhanced, the restoration and stability of the ecological system of the karst lakeside wetland are promoted, and technical support is provided for the karst aquatic ecological system to cope with climate change, water pollution control and carbon sequestration and sink increase.

The invention discloses a wetland vegetation phenology monitoring method based on cooperation of ground observation and satellite remote sensing. The method comprises the following steps: arranging sample points in the field to obtain wetland vegetation ground observation phenology data; preprocessing the high / low resolution remote sensing data and generating dense EVI time sequence data by adopting a multi-source remote sensing image space-time fusion algorithm; carrying out smooth denoising on the time sequence EVI data based on an SG filtering algorithm; performing inversion based on a dynamic threshold method to obtain wetland vegetation satellite remote sensing phenological data; the relationship between ground observation phenological data and satellite remote sensing phenological inversion data is analyzed based on a linear regression method, a collaborative inversion model is constructed, and the wetland vegetation phenological inversion precision is improved. According to the method, the problem of scale errors caused by different observation scales of ground observation and remote sensing inversion data modeling is solved through cooperation of ground observation and remote sensing inversion data modeling, the wetland vegetation phenology inversion precision and robustness are remarkably improved, large-scale wetland vegetation phenology remote sensing inversion is achieved, and theoretical and technical supports are provided for health assessment of a wetland ecosystem.

The present application discloses a wetland vegetation carbon sequestration potential prediction method and system under the influence of future climate change, belongs to the technical field of wetland vegetation carbon sequestration potential prediction, and comprises the following steps: obtaining the net primary productivity of vegetation, the vegetation coverage, the monthly temperature, the precipitation and the atmospheric carbon dioxide concentration in the historical period and the future period; calculating the annual average net primary productivity of vegetation, the coverage and the multi-year average vegetation coverage; calculating the annual average temperature, the precipitation and the carbon dioxide concentration; extracting the wetland vegetation pixel distribution as the research area range; calculating the ratio of the annual average net primary productivity to the vegetation coverage to obtain the wetland vegetation carbon sequestration potential value in the historical period; adopting the multiple stepwise regression analysis method to build a per-pixel wetland vegetation carbon sequestration potential estimation model; and utilizing the annual temperature, the precipitation and the carbon dioxide concentration in the future period to realize the accurate prediction of the wetland vegetation carbon sequestration potential in the research area range in the future period.

The invention discloses a method for estimating the photosynthetic efficiency of wetland vegetation under the influence of climate change, relates to the technical field of agricultural remote sensing, and aims to solve the problems that the photosynthetic efficiency of the wetland vegetation is inaccurately estimated and the future cannot be predicted in the conventional method. The method comprises the steps of 1, obtaining and preprocessing a data set; 2, collecting the month-by-month data into a growth season data set; 3, calculating to obtain a multi-year average LAI value in the research time period; 4, obtaining wetland vegetation distribution as a research area range; 5, obtaining a pixel-by-pixel growth season SIF value, a pixel-by-pixel growth season LAI value, a pixel-by-pixel growth season historical meteorological element value and a pixel-by-pixel growth season future meteorological element value in the research area range; 6, calculating the photosynthetic efficiency value of the wetland vegetation pixel by pixel in the range of the research area; 7, constructing a pixel-by-pixel wetland vegetation photosynthetic efficiency estimation model under the influence of climate change; and 8, predicting the photosynthetic efficiency of the future wetland vegetation in the range of the research area. According to the method, the future wetland vegetation photosynthetic efficiency can be quickly and accurately estimated and predicted on the regional scale.

The invention relates to a multi-factor-driven coastal salt marsh wetland blue carbon potential evaluation method, which comprises the following steps: acquiring coastal salt marsh wetland area data, and preprocessing; evaluating the dynamic change trend of the coastal salt marsh wetland by using a PLUS model; predicting the appropriate distribution probability of different salt marsh wetland vegetation by using a Maxent model, and obtaining the spatial distribution result of different salt marsh wetland vegetation in the future; evaluating the blue carbon potential of the coastal salt marsh wetland by using an InVEST model to obtain the blue carbon potential of each vegetation of the coastal salt marsh wetland; and carrying out weighted stacking on the blue carbon potential of different salt marsh wetland vegetation of the coastal salt marsh wetland. The method has the beneficial effects that efficient and accurate evaluation of the blue carbon potential of the coastal salt marsh wetland is realized through multi-model collaboration and data driving.

A method for improving the germination of *Carex lumbricoides* seeds based on nano-zinc oxide initiation belongs to the field of wetland ecological engineering technology. The invention includes the following steps: First, nano-zinc oxide particles with a particle size of 30±10 nm are dispersed in deionized water by ultrasonic oscillation to prepare a suspension of 12.5-200 mg / L; second, collected *Carex lumbricoides* seeds are float-screened, and plump seeds that sink to the bottom are selected and subjected to surface sterilization; subsequently, the sterilized seeds are immersed in the nano-zinc oxide suspension and initiated by agitation under light-proof conditions for 6 or 24 hours, followed by air drying to restore the initial moisture content; finally, the initiated seeds are placed in an artificial climate incubator for germination culture under specific variable temperature and light conditions. This invention utilizes the biocompatibility of nano-zinc oxide and effectively solves the problems of long germination cycles and low germination rates of *Carex lumbricoides* seeds by precisely controlling the initiation concentration and time. This invention has the advantages of simple operation, low cost, and environmental friendliness, and can significantly improve the germination rate and germination percentage, providing high-quality seedlings for the restoration of degraded wetland vegetation.

The invention provides a method, a device and equipment for predicting influence of marsh vegetation change on surface temperature, and belongs to the technical field of ecological remote sensing and climate effect evaluation. The method comprises the following steps: firstly, determining vegetation pixel distribution as a research area range in an unchanged marsh wetland distribution range; a year-by-year and multi-year average growth season data set is constructed through a maximum value synthesis and arithmetic mean method; in the grid units, the pixels are divided into a high value group and a low value group according to the multi-year average growth season leaf area indexes, the difference value between the multi-year average growth season leaf area indexes of all the pixels in the high value group and the low value group and the average surface temperature value is calculated, and then the surface temperature change degree caused by the marsh wetland vegetation coverage change is quantified; and finally, realizing accurate prediction of future surface temperature influence in combination with a vegetation change trend on a pixel scale.

The application relates to a drought area salt water lake shore wetland stress-resistant vegetation configuration repair method, and belongs to the technical field of wetland ecological repair, and specifically relates to a drought area salt water lake shore wetland stress-resistant vegetation configuration repair method. The method solves the problem that the existing lake shore wetland vegetation repair technology cannot adapt to the extreme compound stress habitat of the inland closed salt water lake in the drought area, that is, no external fresh water supply, high mineralized water body, heavy saline soil and strong wind erosion, and overcomes the technical bottlenecks in the application of traditional technology in the region, such as low vegetation survival rate, poor community structure stability, insufficient directional conservation of local halophytes, secondary degradation after repair and the like. The method comprises the following steps: dividing the drought area salt water lake shore wetland into four functional repair regions according to four stress factors as quantitative partition basis; configuring stress-resistant vegetation for the four functional repair regions; and performing auxiliary repair measures for the four functional repair regions.

The application discloses a Landsat-based tidal wetland spatio-temporal evolution monitoring method, which comprises the following steps: S1, acquiring multi-temporal Landsat remote sensing image data of a target region and performing consistency preprocessing; S2, constructing a spectral index time sequence comprising NDWI, NDVI, PSRI and NIRv based on the preprocessed multi-temporal Landsat remote sensing image data; S3, generating key period images based on the spectral index time sequence; S4, performing initial classification of tidal flats and wetland vegetation based on the key period images to obtain initial classification maps year by year; S5, performing segmentation by using a LandTrendr algorithm based on the spectral index time sequence, and performing time sequence consistency optimization on the initial classification maps according to the obtained segmentation results to obtain optimized classification results; and S6, performing post-processing on the optimized classification results to generate a tidal wetland year-by-year dynamic classification data set. The application can generate a high-quality data set accurately reflecting the year-by-year dynamic evolution of a tidal wetland.

The invention provides modified biochar, a seed coating agent and a seed coating method for wetland vegetation restoration, and belongs to the technical field of wetland vegetation restoration, the modified biochar for seed coating comprises biochar, a microbial agent, a plant growth regulator and chitosan oligosaccharide; the mass ratio of the biochar to the microbial agent to the plant growth regulator to the chitosan oligosaccharide is (10-25): (0.1-0.5): (1-3): (5-10). The invention also provides a seed coating agent for wetland vegetation restoration. The seed coating agent comprises the modified charcoal, a binder and a filler, the mass ratio of the modified charcoal to the binder to the filler is (20-40): (5-15): (50-80). Pelleted seeds prepared by the seed coating agent provided by the invention can overcome high-strength water and sand dynamic changes of wetlands, especially coastal wetlands, and the seed germination rate and the plant stress resistance are improved.

A sea water desalination device and method based on coastal wetland vegetation transpiration belong to the technical field of ecology and water resource treatment crossing, and comprise a fresh water collection system, a fresh water storage system, and an auxiliary regulation and display system. According to the method, sea water desalination is achieved through the natural transpiration effect of coastal wetland vegetation (such as mangrove forests), condensed fresh water is collected through a transparent air chamber / ceiling, and operation is guaranteed by combining solar power supply and environment regulation and control. Compared with a traditional seawater desalination technology, the method is wide in application range, easy to manufacture and extremely low in energy consumption, the efficiency and sustainability of obtaining fresh water in the coastal area are improved, meanwhile, ecological protection is considered, a stable water supply solution is provided for coastal and island areas lacking fresh water resources, and technical support is provided for related resource utilization and ecological restoration research.

The invention provides a baffling wetland filter tank and lateral subsurface flow wetland bed sewage treatment system and method, and relates to the field of sewage treatment. The sewage treatment system comprises one-stage or multi-stage subsurface flow wetland beds, a sand soil layer, a ceramsite layer, a microbial decomposition layer, a soil loosening layer and a water locking layer are sequentially arranged in each stage of subsurface flow wetland bed from bottom to top, and wetland vegetation is planted in the soil loosening layer and the water locking layer; a connecting pipeline is arranged on one side of the subsurface flow wetland bed, a screening net is arranged in the connecting pipeline, the subsurface flow wetland bed is connected with a wetland filter tank through the connecting pipeline, and submerged plants and emergent aquatic plants are arranged in the wetland filter tank. By combining the constructed wetland treatment system and the aquatic plant system, nitrogen and phosphorus in sewage can be effectively removed, the utilization rate of filler in the sewage treatment system is increased, and the sewage can be effectively purified.

The utility model discloses a miniature wetland device for rural domestic sewage treatment, which comprises a wetland groove, a water inlet pipe, a water outlet pipe, wetland vegetation and a filter layer, the water inlet pipe is arranged at the upper end of the wetland groove, the water outlet pipe is arranged at the bottom of the wetland groove, and the wetland vegetation and the filter layer are sequentially arranged in the wetland groove from top to bottom. The filtering layer internally comprises a hydrotalcite-like layer; the water inlet pipe is connected with a water inlet diversion pipe arranged at the upper part in the wetland tank, uniform water flowing holes are respectively formed in two sides of the water inlet diversion pipe, and long water flowing tanks and short water flowing tanks are respectively mounted on the water flowing holes at intervals. The miniature wetland device disclosed by the utility model can effectively solve the problem of rural decentralized sewage treatment, so that the purpose of deep phosphorus removal can be achieved while sewage is treated through the wetland vegetation and the filter layer, the water inlet pipe uniformly discharges the entering sewage to the wetland vegetation and the filter layer at the top in the wetland groove in a shunting manner, and the sewage treatment efficiency is improved. The entering sewage is prevented from washing and damaging vegetation and soil on the surface of the micro wetland.

The utility model relates to the technical field of forest land wetland plant cleaning, in particular to a forest land wetland plant cleaning device which comprises an obliquely arranged conveying belt and further comprises a collecting box arranged on the lower side of the conveying belt and used for collecting cleaned plants; a plurality of evenly-distributed scraping rods are fixedly arranged on the conveying belt, side baffles are fixedly arranged on the two sides of the conveying belt, and the lower ends of the side baffles are fixedly connected with the two sides of the collecting box. The stripping mechanism comprises a stripping plate, is arranged between the upper side of the collecting box and the conveying belt and is used for scraping the plants between the scraping rods; the squeezing mechanism comprises a squeezing plate and a reciprocating unit, the squeezing plate is arranged in the collecting box, and the reciprocating unit is arranged between the squeezing plate and the collecting box and used for squeezing the collected plants. According to the plant collecting box, the collected plants can be automatically extruded while the plants are cleaned, and the space utilization rate of the collecting box is increased.

The invention provides a karst wetland vegetation nutrient element spectral mechanism analysis method. The method comprises the steps of in-situ hyperspectral measurement of karst wetland vegetation leaves, determination of nutrient elements of the karst wetland vegetation leaves, continuous wavelet decomposition and morphological characteristic calculation of the in-situ hyperspectral, and quantification of spectral heterogeneity among different karst wetland vegetation communities. And mining potential correlation between the leaf nutrient elements and the spectral response mechanism based on a dynamically enhanced wavelet two-dimensional correlation spectrum technology, and the like. According to the method, subtle spectral heterogeneity among different karst wetland vegetation communities can be accurately captured by using improved continuous wavelet information divergence, the internal relation between leaf nutrient elements and a spectral mechanism can be excavated by using a dynamically enhanced wavelet two-dimensional correlation spectrum technology, and sensitive wavebands of different karst wetland vegetation leaf nutrient elements are obtained; and a spectral mechanism of karst wetland vegetation community nutrient elements is depicted finely.

The invention discloses a method for estimating the surface coverage capability of wetland vegetation under the influence of extreme climate, relates to the technical field of agricultural remote sensing, and aims to solve the problem that the surface coverage capability of wetland vegetation in high vegetation coverage and low vegetation coverage areas cannot be accurately reflected by the conventional method. The method comprises the following steps of: 1, acquiring a data set and preprocessing; 2, obtaining a year-by-year data set corresponding to the research time period; 3, obtaining a year-by-year historical and future extreme climate space distribution data set; 4, determining a research area range; 5, obtaining a year-by-year FVC value, an LAI value, a historical extreme climate value and a future extreme climate value of pixel-by-pixel in the range of the research area; 6, calculating a pixel-by-pixel year-by-year wetland vegetation earth surface covering capability value in the research area range; 7, constructing a pixel-by-pixel wetland vegetation coverage earth surface capability estimation model under the influence of the extreme climate change; and 8, predicting the earth surface covering capability of the future wetland vegetation in the research area range. The method is used for estimating the surface covering capability of the wetland vegetation under the influence of the extreme climate.

The invention relates to the technical field of wetland monitoring, and particularly discloses a wetland biological environment collaborative online monitoring system and a wetland biological environment collaborative online monitoring method, which respectively use a color histogram and a direction gradient histogram to extract color features and HOG features of wetland image data, and introduce a deep learning algorithm to obtain a wetland biological environment collaborative online monitoring result. The color features and the HOG features of the wetland image are subjected to principal component analysis and compensation type interactive fusion between cross-domain features, so that accurate recognition of vegetation features in the wetland image and intelligent estimation of the vegetation coverage rate are achieved, and then correlation response analysis between wetland organisms and environmental factors is conducted on the basis. Through the mode, the identification precision of wetland vegetation features can be improved, and the adaptability of the model to different illumination conditions and complex backgrounds is enhanced, so that more reliable data support can be provided for wetland protection and management.