130 results about "Vegetation cover" patented technology

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

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

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

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

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

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

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

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

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

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

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

The invention discloses a coastal salt marsh wetland non-photosynthetic vegetation coverage inversion method, which comprises the following steps: S1, obtaining hyperspectral reflection curves of soil, non-photosynthetic vegetation and photosynthetic vegetation of the coastal salt marsh wetland of the Yellow River Delta, simulating and measuring spectral characteristics of samples under different moisture contents (dry, low humidity, medium humidity and saturation) in a laboratory, and calculating the coverage of the non-photosynthetic vegetation in the coastal salt marsh wetland; key wave bands of non-photosynthetic vegetation and other ground features are screened and distinguished; s2, constructing a moisture-insensitive hyperspectral NPV index (MINI), and determining an optimal wave band combination through wave band traversal; and S3, constructing mixed data of soil, non-photosynthetic vegetation and photosynthetic vegetation under different moisture conditions in a laboratory, and evaluating inversion precision and stability of MINI under different moisture conditions. S4, acquiring a coastal salt marsh wetland hyperspectral image, and calculating an NDVI value and an MINI index value based on the processed image; and S5, performing spectral unmixing on the mixed pixels based on a triangular space method, and inverting the non-photosynthetic vegetation, photosynthetic vegetation and soil coverage of the research area. The method provided by the invention solves the technical problems of low precision and poor stability of the traditional NPV index inversion coverage under the condition that the coastal salt marsh wetland is influenced by tides and the moisture change is obvious.

The present application relates to the field of botany and ecological measurement technology, and discloses a vegetation cover instrument calibration method and device, comprising: determining the position and area of the sample plot actually needed to be photographed, and taking a photo of the sample plot to obtain a sample plot photo; preprocessing the sample plot photo to obtain a processed photo; selecting several main vegetation colors in the processed photo as vegetation pixel colors, and selecting several main soil colors as soil pixel colors; setting a display screen; filling the display screen based on the selected vegetation pixel colors and soil pixel colors to form a training combination of the current color vegetation area ratio; comparing the similarity between the standardized vegetation map of the current color vegetation area ratio and the training combination to obtain a difference value; and calibrating the vegetation cover instrument based on the difference value. The present application can solve the problems of the existing vegetation cover instrument, such as the lack of measurement standards, large data deviation, and strong subjectivity of measurement results.

The application provides a loess hilly vegetation disease and pest remote sensing monitoring and evaluation method and device, relates to the technical field of remote sensing monitoring and evaluation methods, and comprises the following steps: calculating the coverage of vegetation by using a double threshold plane method, taking the coverage of vegetation of each grid area as a correction term of ground surface temperature; constructing a temperature difference anomaly index of each grid area; based on the temperature difference anomaly index and transpiration efficiency index of each grid area, calculating the transpiration efficiency index of each grid area by using a vegetation temperature difference method, constructing a vegetation classification model by using a logistic regression method, and classifying each grid area according to a preset threshold value to distinguish a risk grid area and a normal grid area. A prediction model is constructed through the statistical relationship between the vegetation index and the ground surface temperature, the temperature difference anomaly index is quantified, early stress signals of vegetation that are difficult to find can be recognized, the transpiration efficiency is introduced to comprehensively evaluate the water utilization of vegetation, and through a dynamic threshold value and a statistical model, potential risk grids can be recognized before the outbreak of diseases and pests.

The invention discloses an electrode parallel split type frozen soil electrical method detection device, and relates to a frozen soil electrical method detection device. The invention aims to solve the technical problems that the existing frozen soil electrical method detection is limited in layout, inconvenient to operate, insufficient in imaging capability and difficult to meet the rapid, reliable and non-destructive detection requirements of frozen soil below a road in a road scene. A split type electrode control structure and a wireless communication mode are adopted, a cable straight line pole arrangement mode of a traditional electrical method is not depended on, flexible arrangement can be achieved in complex road environments with road surfaces, guardrails, side ditches, slope surfaces, gravel or vegetation coverage and the like, and therefore the limitation that traditional electrical method equipment is seriously limited by terrains, and measuring lines are difficult to be completely arranged along a road is broken through; the device gets rid of the constraint of a traditional cable, and can be flexibly arranged under a complex road terrain; the system can directly cover the area under the road, and effective detection of the frozen soil structure of the road is achieved.

The invention discloses a land subsidence monitoring system based on an INSAR technology, relates to the technical field of land subsidence monitoring, and solves the technical problems that the analysis of collected data is inaccurate and the overall analysis result is affected due to the fact that massive data are not discriminated. For precise settlement monitoring compaction data foundation, a difference screening system based on vegetation coverage indexes is constructed, EVI values of a current regional image and a historical image are compared, and the image with the minimum difference value is selected as a matching image, so that the defect of traditional rough matching is overcome, a reliable time sequence reference is embedded for settlement analysis, the long-term rule of settlement is favorably informed, and the accuracy of settlement analysis is improved. Based on cross correlation coefficient fine calculation and threshold judgment, an analysis window and a search area are flexibly selected according to area ground object resolution and features, multi-pixel sequences are accurately compared, homonymy points are locked, the interference pattern generation quality is improved, and settlement monitoring precision and source reliability are guaranteed.

The invention relates to the technical field of semantic comprehension, in particular to a water and soil conservation facility acceptance report auxiliary auditing system based on semantic comprehension, which comprises a text analysis module, an image-text comparison module, a facility scoring module, an auditing verification module and an abnormity prompting module. According to the method, the data structuring level is improved by collecting facility description statement extraction types, sizes and engineering quantities for classification, report pictures are analyzed, the vegetation coverage rate, the drainage facility positions and the regional area are extracted, the image-text corresponding relation is established, and information deviation is avoided; the facility area error rate, the drainage position deviation and the transverse-longitudinal ratio offset are analyzed, a scoring result is formed, the facility accuracy is quantified, and the auditing precision is improved; through cross checking of comprehensive scores and text auditing elements, checking area, project amount, size and type consistency and labeling abnormity, full-link auditing is carried out, potential abnormity is accurately positioned, auditing efficiency and result reliability are enhanced, and high efficiency and accuracy of auditing work are ensured.

The application provides a kind of side slope subsidence monitoring method and system, it is related to side slope monitoring technical field, first acquire the multi-source cause information of side slope area, including side slope surface soil disturbance, underground rock-soil stress change, surrounding water body penetration and vegetation cover change information, then based on multi-source cause information constructs side slope subsidence cause conduction chain, embodies the subsidence influence conduction relationship between causes, again according to side slope subsidence cause conduction chain generates cause conduction tracking sequence, records conduction order and state change information, then according to cause conduction tracking sequence determines the key conduction node of side slope subsidence, finally based on the position and state change information of key conduction node, generates the monitoring resource directional deployment scheme containing monitoring equipment deployment position and monitoring frequency setting, can thus comprehensively, accurately monitor side slope subsidence, improves monitoring efficiency and accuracy.

The utility model discloses a kind of seed integrated erosion-preventing vegetation mat structures, including fixed net component, seed layer component, seed cover plate, containing groove and matrix material layer;Seed cover plate is equipped with containing groove, containing groove is provided with carrier layer, storage hole is equipped on carrier layer, lower surface of carrier layer is provided with lower diaphragm, and lower surface of lower diaphragm is provided with amendment layer;The utility model is designed with the vegetation mat structure of seed integration, vegetation cover plate integrates seed, soil amendment material and matrix material of breathable and water-retaining, to promote the rapid establishment of vegetation, and provide physical support in initial stage through fixed net component, prevent water and soil loss, while allowing root system to penetrate growth, and non-degradable upper fixed net is used for long-term stable protection requirement, while degradable support net will be naturally decomposed after vegetation establishment, and further fixed fixed net through soil nail, prevent its sliding or collapse, improve the erosion-preventing capacity.

The invention discloses an image data acquisition method and device based on an unattended intelligent airport, and relates to the technical field of image data processing.The method comprises the steps that forest image data are acquired based on the unattended intelligent airport, the unattended intelligent airport selects a forest area meeting preset mountain forest conditions, and the selected forest area is selected as a forest area; the unattended intelligent airport is used for taking off, landing and parking a predetermined type of unmanned aerial vehicle, and the predetermined mountain forest conditions comprise that the height fall of a mountain land is greater than a preset fall threshold value, the forest vegetation coverage rate is higher than a preset coverage rate threshold value, and the number of roads in a forest is lower than a preset number threshold value; and analyzing the preprocessed forest image data by adopting a pre-trained machine learning model, identifying a forest resource state, and displaying the forest resource state on a terminal screen. The technical problems that image resource analysis is difficult to carry out on an unattended intelligent airport system in a severe environment and the operation efficiency is low in the prior art are solved.

The utility model discloses a vegetation covering support for water and soil conservation, and relates to the technical field of water and soil conservation. The device comprises two supports, connecting blocks are fixedly connected to the left sides and the right sides of the two supports, two adjusting assemblies are arranged on the corresponding sides of the two supports, the two adjusting assemblies are arranged on the left sides and the right sides of the supports respectively, each adjusting assembly comprises an outer rod, the interior of each outer rod is provided with a cavity, and the inner side of each outer rod is provided with a clamping groove. And an inner rod is slidably connected into the outer rod. According to the utility model, the adjusting assembly is arranged, specifically, the positioning rod is pulled upwards, and after the raised line moves to the position above the fixed column, the positioning rod is rotated, so that the raised line limits the positioning rod at the position above the fixed column, the brackets can be pulled, and the inner rod slides in the outer rod, so that the distance between the two brackets is adjusted; and by adjusting the positions of the two supports, the device can be suitable for various different land areas, and the influence of the size on installation is avoided.

This invention discloses a method for assessing ecosystem service losses due to regional climate change. The region includes counties, cities, or important ecological function zones. The steps are as follows: S1. Collect remote sensing data and preprocess the data through band combination, geometric correction, and projection transformation. Select a standard color composite scheme, establish interpretation markers, and perform visual interpretation. S2. Calculate and statistically analyze the unit area yield value and equivalent factor of grain crops. The equivalent factor is 1 / 7 of the average market value of grain in the current year. S3. Statistically analyze land use types, calculate the magnitude of land use change, reflecting the changes in the total amount of different land use types and the overall trend of land use type changes. S4. Select vegetation cover as an indicator, and adjust the ecosystem service value based on two parameters: net primary productivity and vegetation cover. This invention is of great significance for formulating ecosystem management strategies under the background of future climate change.

The utility model discloses water and soil loss prevention equipment for comprehensive land improvement, which comprises a wrapping layer, grass seeds are filled in the wrapping layer, a stabilizing layer is arranged at the top of the wrapping layer, a plurality of inserting rods are uniformly inserted in the wrapping layer and the stabilizing layer, and the tops of the inserting rods are jointly and fixedly connected with a baffle. By means of the structure, when the wrapping layer and the stabilizing layer are stabilized through the baffles and the inserting rods, the effects of blocking water flow and reducing water and soil loss are achieved. After the grass seeds grow to form a vegetation covering layer, water and soil loss can be further effectively prevented, the problem that water and soil cannot be well protected in the grass seed production period is solved, effective protection on the land is achieved, and the risk of water and soil loss is reduced.

The invention discloses a vegetation coverage quantitative analysis method based on GIS and unmanned aerial vehicle surveying and mapping, relates to the technical field of image data processing, and can solve the problems of splicing boundary blurring and detail loss caused by uneven illumination and shadow shielding in batch surveying and mapping of unmanned aerial vehicle hyperspectral images at the present stage. The method comprises the following steps: acquiring a plurality of hyperspectral images and GIS data of a target area; constructing an edge consistency constraint item; according to the plurality of hyperspectral images of the target area, carrying out area division on the target area and distributing an adaptive denoising weight; constructing a low-rank decomposition model according to the edge consistency constraint term and the adaptive denoising weight, and solving according to the low-rank decomposition model to obtain a plurality of denoised hyperspectral images; and carrying out registration and fusion on the plurality of denoised hyperspectral images and GIS data to generate a high-precision orthoimage of the target area, and carrying out inversion calculation on the vegetation coverage based on the orthoimage.

This invention relates to the field of remote sensing image processing technology, specifically to a method and system for wetland information extraction based on multi-source remote sensing data fusion. The method includes the following steps: acquiring and fusing wetland optical radar images and water level time-series data; extracting near-infrared and backscattering multi-source feature parameters to distinguish water body pixels; statistically aggregating spatial connectivity to generate water body patch boundaries; calculating a comprehensive model of area, perimeter, and shape index to classify wetland types; adjusting mismatched labels by combining vegetation cover and soil moisture; and forming a wetland information extraction result map. In this invention, the differences in water bodies are enhanced through joint reflection and scattering features; the differences between water bodies and their surroundings are enhanced through joint reflection and scattering characterization; boundary aliasing is suppressed through bidirectional threshold constraints; patch spatial integrity is restored through connectivity analysis; the sensitivity of type classification is enhanced through morphological parameter combinations; and the accuracy and type stability of wetland representation are improved through ecological attribute consistency correction.

The invention discloses a remote sensing moisture index construction method combining surface temperature and short wave infrared information. The method comprises the following steps: step 1, collecting satellite remote sensing data in a research area; step 2, meteorological radiation data collection and spatial interpolation of a research area; 3, performing remote sensing inversion on the surface biophysical parameters; step 4, calculating surface net radiation and soil heat flux; step 5, constructing a remote sensing moisture index combined with the surface temperature and the short wave infrared information; and step 6, performing space-time reconstruction on the remote sensing moisture index. The remote sensing moisture index combining the surface temperature and the short-wave infrared information is constructed, the key defect that a traditional moisture index based on the surface temperature information is greatly influenced by albedo is overcome, and the supersaturation effect of the moisture index based on the short-wave infrared information in a high vegetation coverage area is optimized; satellite thermal infrared and short wave infrared observation information can be fully utilized, and large-range, data-area-free, complex and non-uniform underlying surface moisture index calculation is achieved.

The present application provides a kind of ecological restoration effect stereoscopic evaluation method, belong to ecological restoration evaluation technical field, the present application is obtained by being laid out in target repair area multi-point monitoring network comprehensive basic ecological parameters, constructs dynamic threshold value ecological early warning algorithm system to realize abnormal mode intelligent identification and automatic early warning trigger, establishes multi-parameter coupling analysis mechanism and according to the dynamic adjustment monitoring processing frequency of vegetation cover value, designs eigenvalue sensitivity analysis mechanism and according to the repair control strategy of the change rate of adjacent matrix eigenvalue, constructs ecological succession trend prediction model based on time series graph convolution network, extracts key succession features using multi-head attention mechanism to predict future evolution trend, combined with 360 degree panoramic technology to establish stereoscopic display system before and after repair to generate comprehensive evaluation report, solve the technical problem that ecological restoration effect evaluation is not accurate enough.

The invention relates to the technical field of image processing, and discloses a quarrying pit ecological restoration method and system. The method comprises the following steps: enhancing a quarrying pit RGB image through adaptive histogram equalization and shadow detection processing; a fourth P2 detection layer is additionally arranged on the basis of the YOLOv5 network and is specially used for detecting small target vegetation, and a spatial attention mechanism is used for improving vegetation features and inhibiting background interference; screening a detection frame through a non-maximum suppression algorithm, and correcting a detection area in combination with a terrain slope correction factor; and calculating a vegetation coverage index and an ecological diversity index based on the detection data, and analyzing a vegetation change trend through Mann-Kendall trend inspection. The technical problems of small target vegetation accurate detection and ecological restoration dynamic evaluation in a quarrying pit complex environment are solved, and the automation degree and the detection precision of quarrying pit ecological monitoring are improved.