50 results about "Ecotope" patented technology

The invention relates to the technical field of ecological environment monitoring and geographic information, in particular to a coastal wetland soil sample point quality evaluation method and system based on multi-source environmental data. According to the method, remote sensing, climate, terrain, ocean and historical land coverage data are fused, and indexes are extracted and standardized; an environment similarity score (weighted Markov / neighbor weighted Euclidean), a historical consistency score (multi-temporal coverage + transfer penalty) and a source reliability score (metadata integrity + anomaly detection + NDVI-SOC residual) are constructed respectively; comprehensive scores are obtained through self-adaptive weight fusion, A / B / C grades are divided, and a report and a high-quality sample point set are output. The system comprises a data access module, a scoring engine module and a visualization module, and the precision and robustness of soil mapping and carbon storage evaluation can be remarkably improved.

The invention discloses an ecological vulnerability evaluation method based on road domain landscape pattern optimization, and the method comprises the steps: obtaining expressway road domain environment data as training data, and obtaining ecological environment data; calculating an ecological environment quality index of the ecological environment data, and obtaining landscape structure features in the target area; integrating the landscape pattern index into an ecological sensitive factor, and constructing an ecological vulnerability evaluation model by adopting an SRP structure; performing spatial autocorrelation analysis on space-time evolution of the ecological vulnerability of the road domain according to the ecological vulnerability evaluation index, establishing an ecological vulnerability multi-scene simulation model, performing overlay analysis on an ecological vulnerability evaluation result and a land utilization type, obtaining a specific restoration strategy, tracking space-time evolution characteristics of the ecological vulnerability, and performing road region ecological vulnerability evaluation. Ecological vulnerability influence factors are adjusted based on different scenes, future possible ecological vulnerability risks are simulated, specific restoration strategies are made according to different partition standards, and effective configuration and use efficiency of resources are ensured.

The invention belongs to the technical field of remote sensing technology and ecological environment monitoring, and particularly relates to a mine geological environment dynamic monitoring method based on unmanned aerial vehicle remote sensing. A mine geological environment dynamic monitoring method based on unmanned aerial vehicle remote sensing comprises the following steps: S10, acquiring a panoramic remote sensing image of a target area, identifying and marking a vehicle road network in the panoramic remote sensing image, and determining segmentation sizes of different positions in the panoramic remote sensing image according to the vehicle road network density, the segmentation size is inversely proportional to the vehicle road network density, and segmenting the panoramic remote sensing image into a plurality of remote sensing sub-images according to the segmentation sizes of different positions; and S20, obtaining color information of each pixel point in the remote sensing sub-image, and extracting pixel texture features in the remote sensing sub-image according to the color information of each pixel point. According to the scheme, the problem that misinformation is easily generated due to the fact that slag dumping and landslide are easily confused in an existing unmanned aerial vehicle remote sensing technology is solved.

The invention discloses a balance weight type ecological road shoulder retaining wall, and relates to the technical field of balance weight type road shoulder retaining walls, the balance weight type ecological road shoulder retaining wall comprises a retaining wall mechanism, the retaining wall mechanism comprises a soil filling layer, a stone wall is piled in the soil filling layer, and a plurality of tie rods are fixedly embedded in the stone wall; the other end of each tie rod is fixedly embedded in the soil filling layer, a first clay anti-seepage layer is laid in the soil filling layer, the left side face of the first clay anti-seepage layer makes contact with the right side face of the stone wall, and the left side face of the stone wall is fixedly connected with a fly side wall. The stored rainwater can be supplied to vegetation at the landscape ecological side slope through capillarity, so that the vegetation can obtain relatively sufficient water, normal growth of the vegetation around the landscape ecological side slope is guaranteed, the balance weight type ecological road shoulder retaining wall can better assist growth of the vegetation in the landscape ecological environment, and the landscape ecological side slope is protected. The landscape ecological environment maintaining effect of the balance weight type road shoulder retaining wall is improved to a certain degree.

The invention discloses a land stony desertification ecological risk evaluation method based on multi-source aerospace data, and relates to the technical field of ecological risk evaluation. Comprising the following steps of multi-source air and space data acquisition and space-time collaborative registration, multi-dimensional ecological environment factor dynamic extraction, stony desertification ecological risk three-dimensional index system construction, multi-source weight fusion and dynamic risk evaluation, space-time dynamic early warning and risk transfer simulation and differential ecological management adaptive optimization. The method can provide high-precision and multi-dimensional space-time consistent basic data for risk evaluation through multi-source space-time collaborative registration of space-time data and integration of remote sensing, meteorological and ground monitoring data, breaks through the limitation of single-dimensional evaluation through construction of a three-dimensional index system, can systematically reveal risk causes, and improves the risk evaluation efficiency. And subjective and objective combination weighting balances expert experience and data laws, so that the crossing from static evaluation to dynamic early warning is realized, and finally, optimization measures are treated and optimized in a differentiated manner through spatial layout and benefit cost optimization.

The invention provides a blue space degradation diagnosis method and system, computer equipment and a medium, and belongs to the field of ecological environment monitoring, and the method comprises the steps: obtaining a remote sensing image, climate data and human activity data of a to-be-diagnosed blue space, and extracting water body images of the to-be-diagnosed blue space at a plurality of time points through the remote sensing image; calculating a multi-class landscape form index of each grid in the water body image; clustering the water body image based on the multi-class landscape form index of each grid to obtain a blue space combination mode corresponding to each grid; inputting the climate data, the human activity data and the landscape form index into a random forest model to obtain a contribution degree; and based on the contribution degree, screening from the climate data, the human activity data and the landscape form index to obtain a water body change driving factor, and determining a degradation diagnosis result of the blue space to be diagnosed. The blue space combination mode constructed by the method can reflect the structural difference of the blue space, and the accuracy of degradation diagnosis of the blue space is guaranteed.

The invention discloses a rural landscape pattern collaborative optimization method, device, equipment and medium based on dynamic pollution assessment and multi-target constraint, and the method comprises the steps: carrying out the multi-scale space assessment of the non-point source pollution risk of a target region through obtaining the source-sink landscape space data and dynamic pollution source strong parameters of the target region; pollution risk distribution information is generated; establishing a constraint rule base including an ecological environment target, a policy planning target and a landscape pattern target; and based on a historical landscape evolution rule, introducing the constraint rule base as a decision-making layer, carrying out multi-target comprehensive scoring and screening on state conversion of landscape cells, and simulating to generate a future landscape pattern scheme meeting the multi-target constraint. According to the method, dynamic and fine environmental impact assessment and active and multi-target spatial layout optimization can be deeply coupled, and transformation from assessment and planning separation to assessment and optimization integration is realized.

The application discloses a kind of based on function-morphology interaction's building group automatic layout method and system, including the following steps: the design boundary data of target block, road network data, ecological environment data and existing building data are collected, and three-dimensional space digital sand table is constructed;Collect the building area of several case blocks, surrounding road attribute, building storey and land function data, construct land function and space form gray comatose matrix;Factor analysis is carried out to obtain function-morphology factor loading matrix file data, generate function-morphology association model based on knowledge graph;Function-morphology dynamic interaction building group generation is carried out using deep deterministic policy gradient algorithm, and building group layout scheme is generated;Input upper planning, output 3D block building group model object set after screening in accordance with the requirements of upper planning;3D block building group model is superimposed on digital sand table by screening, and the final scheme is determined to be output.

The invention provides a watershed comprehensive treatment condition analysis system based on a water-city co-fusion concept. The system comprises a factor analysis and judgment module; the factor analysis and judgment module is composed of a site feature research and judgment sub-module, a key problem recognition sub-module, a function demand analysis sub-module and a water system positioning and judgment sub-module; and the water system positioning judgment sub-module is used for calculating a water system positioning result according to the water system scoring index. According to the analysis system provided by the invention, after the conditions of development background, upper planning, geographical location, ecological environment characteristics, cultural landscape elements, construction, management and the like of a drainage basin area are comprehensively considered, prominent characteristics, key problems, functional requirements and target positioning of a site are comprehensively analyzed, studied, judged and combed; corresponding countermeasures are combed according to the difference between the current situation and the target, the analysis system automatically outputs a seeking blueprint at a time, a project list and an implementation plan are formed, and the working efficiency of urban planning design with both urban construction and environmental protection is greatly improved.

The application provides a kind of method and system for intelligent management and control of national space planning based on multi-source data fusion, relating to spatial data processing technical field, the method comprises: obtaining remote sensing image data, geographic information vector data and ecological environment monitoring data of target area;The remote sensing image data and geographic information vector data are parsed, and surface cover elements and planning control boundaries are extracted;The intersection area of the surface cover element and the planning control boundary is calculated, and the spatial overlap area data is generated;The spatial overlap area data is executed kernel density estimation operation, and the element distribution density in continuous spatial domain is solved, to generate spatial density mapping result;The change trajectory of the spatial density mapping result on continuous time sequence is extracted.The application improves the accuracy of national space planning control.

The invention discloses an ecological environment quality evaluation method, system and device, and relates to the technical field of ecological protection, and the method comprises the steps: obtaining Sentinel-2A remote sensing data, landscape pattern indexes and various remote sensing ecological indexes of a to-be-detected region; classifying the Sentinel-2A remote sensing data by adopting a random forest supervised classification method, and determining a classification result of land utilization; based on the classification result of land utilization, constructing a land utilization transfer matrix, and obtaining land utilization change data through the land utilization transfer matrix; and according to the multiple types of remote sensing ecological indexes, constructing an ecological environment quality index RESI model, obtaining an initial ecological environment quality index RESI, adjusting the initial ecological environment quality index RESI through the land utilization change data and the landscape pattern index, and obtaining an ecological environment quality evaluation result of the to-be-detected area.

The invention relates to the technical field of remote sensing image processing, and particularly discloses a dynamic multi-scale change detection method based on ground feature units and change tendency. The innovation point of the invention lies in that a dynamic adaptive scale mechanism of the ground feature unit and the change tendency is constructed, and the change tendency is judged through a three-level fusion mechanism of high-confidence region screening and area weighted statistics, multi-index collaborative judgment and multi-feature clustering. According to the method, the internal scale of a surface feature unit is modulated based on a surface feature unit scale modulation factor of the change tendency, parameters such as weights are dynamically adjusted based on the change tendency, and fine classification combining a multi-statistic threshold value and a hierarchical decision is used, so that the adaptability, classification precision and spatial integrity of change detection in multiple scenes are remarkably improved, and the accuracy of change detection is improved. The method can be widely applied to the fields of land utilization dynamic monitoring, ecological environment evaluation, urban expansion analysis and the like.

The application provides a source-sink landscape-based soil heavy metal remediation method and system, and relates to the field of ecological environment; the method generates target region small watershed space data by analyzing digital elevation model through GIS; on the other hand, the source-sink landscape type of the target region is determined according to satellite images and remote sensing images, and the pollution source intensity is determined by combining rainfall runoff and soil environment sampling monitoring to establish a source-sink landscape geographic information database; soil heavy metal monitoring and spatial evaluation are carried out by selecting typical landscape types, and a self-regression model is established by spatial autocorrelation analysis of soil heavy metal spatial distribution information and source-sink landscape types, and the best scheme of landscape space optimization is proposed based on the model; based on the optimal scheme, the landscape space pattern most conducive to the soil heavy metal self-repairing process is obtained; finally, physical, chemical and biological treatments are further carried out for different landscape types, and the source-sink landscape-based soil heavy metal remediation application is completed.

The application discloses a city ventilation corridor construction method and system based on CFD and circuit theory, and belongs to the technical field of city ecological environment planning. The method comprises data acquisition and preprocessing, including city wind speed background value and city terrain and building distribution data acquisition and processing; surface temperature inversion, surface temperature distribution data of a target region are acquired through surface temperature inversion of the target region; ventilation corridor construction suitability evaluation, a multi-factor comprehensive evaluation of ventilation corridor construction suitability of the target region is carried out; circuit simulation, current simulation of the target region is carried out by using a circuit theory tool; and ventilation corridor construction, a ventilation corridor system of the target region is constructed according to a current simulation diagram result. The application has the advantages that a city ventilation corridor identification model based on fluid dynamics and circuit theory is constructed by combining fluid motion rules and electronic random walk characteristics in a circuit; and a ventilation corridor system of a "wind source-corridor-repair area" is constructed, which is more helpful to identify city ventilation corridors and guide corridor construction practice.

The present application discloses a construction project site selection auxiliary analysis method, device, equipment, medium and product, which relate to the fields of surveying and mapping geographic information and environmental impact assessment. The method includes querying whether there is a national economic industry classification code to which the control requirement content belongs. If so, the national economic industry classification code to which the construction project belongs is compared with the national economic industry classification code to which the control requirement content belongs to determine the relationship category; if not, it is judged whether the construction project name and the control requirement content can be matched. If they can be matched, the method returns "the national economic industry classification code to which the construction project belongs is compared with the national economic industry classification code to which the control requirement content belongs to determine the relationship category"; if they cannot be matched, it is determined that the construction project is allowed to be constructed, and the effective information in the ecological environment zoning control system of this application is more clearly extracted and an intuitive correlation relationship is established.

The invention discloses a road influence domain division method, which comprises the following steps of S1, acquiring Landsat remote sensing image data of a research area, performing preprocessing, and extracting ecological indexes; s2, coupling the extracted ecological indexes by using a principal component analysis method, extracting a first principal component, and calculating a remote sensing ecological index; s3, dividing the ecological environment quality into different grades according to the remote sensing ecological index, performing reclassification, and constructing a cost grid map; s4, calculating the Euclidean distance from each pixel in the cost grid map to the nearest road and the cost distance considering the landscape resistance, and analyzing the change rule of the remote sensing ecological index along with the cost distance; s5, extracting abrupt change points by using the change rule of the remote sensing ecological index along with the cost distance, determining a road influence threshold value, and delimiting a road influence domain; according to the method, the road influence threshold value is determined by constructing the cost grid map and combining the Euclidean distance, the cost distance and mutation point detection, so that the road influence domain analysis is realized.

The present application provides a method for estimating the ground thermal state distribution in a regular grid-type frozen soil area and a related device. In this method, an electronic device obtains measured temperature information and predicted temperature information of a target frozen soil area, wherein the measured temperature information includes the measured ground temperature at multiple observation scales, and the predicted temperature information includes the predicted ground temperature at multiple observation scales; the predicted temperature information is corrected by a pre-built semivariogram model to obtain optimized predicted temperature information; the optimized predicted temperature information is fused with the measured temperature information to obtain the ground temperature information of the target frozen soil area; based on the ground temperature information of the target frozen soil area, a ground thermal state distribution map of the target frozen soil area is generated. In this way, the thermal state of the frozen soil can be obtained non-destructively, and a ground thermal state distribution map at a reasonably set monitoring spatial scale can be generated, thereby effectively guiding engineering construction practices and ecological environmental assessments in frozen soil areas.

The invention discloses an intelligent evaluation and prediction system coupling a landscape pattern index and an ecological system service function, and relates to the technical field of ecological environment evaluation and prediction, and the system comprises a data input layer, a landscape index intelligent processing layer, an ecological service evaluation layer, an association prediction layer and a result output layer which are connected in sequence. The method can achieve the precise analysis of the dynamic change of the regional landscape pattern, achieves the comprehensive evaluation of the service functions of four types of ecosystems, namely supply service, adjustment service, support service and culture service, supports the short-term and medium-and-long-term landscape-service association prediction, is suitable for the scenes of ecological protection planning, land space optimization, environmental impact evaluation and the like, and is high in practicability. And scientific decision support is provided for sustainable management of an ecological system.

The invention is suitable for the field of water conservancy projects, and discloses a method and a device for generating river topography based on a coherent difference principle, and the method comprises the steps: collecting the L1A-level data of a Gaofen-7 satellite of a river, and carrying out the preprocessing of the data; carrying out optimization processing on stereoscopic image pair data in L1A-level data of the Gaofen-7 satellite of the river channel, and generating initial DSM data of the terrain of the river channel; determining phase information of the river topography by combining initial DSM data of the river topography and an InSAR technology based on the same-period river SAR image data; and converting the phase information of the river topography into elevation information of the river topography, and correcting the elevation information of the river topography in combination with the ground control point to obtain target DSM data of the river topography. According to the method, after two-orbit method InSAR data is introduced for interference analysis, the characteristic of terrain deformation consistency can be effectively identified, the data processing efficiency is improved, the accuracy and reliability of the model are enhanced, and important technical support is provided for river treatment, ecological environment protection and the like.

The invention relates to the technical field of soil erosion monitoring and evaluation, and discloses a soil erosion intensity measuring and calculating method and device based on high-resolution data driving, and the method comprises the steps: dividing water and soil loss data according to an engineering disturbance type and a catchment type, and obtaining a soil loss type; unmanned aerial vehicle operation data and disturbance survey data corresponding to the target production construction project are acquired, and land utilization type data, water and soil conservation measure data, rainfall data and surface change data are determined based on the unmanned aerial vehicle operation data and the disturbance survey data; calculating water and soil loss influence factors based on the land utilization type data, the water and soil conservation measure data, the rainfall data and the earth surface change data; and respectively calculating the soil erosion intensity based on the water and soil loss influence factors according to the soil loss type. According to the method, the precision and spatial resolution of soil erosion intensity measurement and calculation are remarkably improved, and a scientific basis is provided for soil erosion control and ecological environment construction in a small-scale range.

The invention relates to the technical field of water resource management and ecological environment protection, and discloses a reservoir capacity dynamic monitoring method and system based on an unmanned aerial vehicle laser radar, and the method comprises the steps: obtaining the point cloud data of a reservoir region through the unmanned aerial vehicle laser radar, and constructing a digital elevation model; obtaining a gradient distribution map and a concave-convex change layer based on rasterization analysis; extracting irregular parameters of the local terrain and optimizing the water storage distribution model; integrating the real-time water level data to calculate the dynamic water volume to obtain the current reservoir capacity; comparing and analyzing a capacity change trend by combining historical data; and updating the digital elevation model to generate a precise monitoring result. According to the method, high-precision real-time dynamic monitoring of the reservoir capacity is realized.

The invention discloses a plot environment governance scheme generation method and system based on multi-source data fusion, and relates to the technical field of environment monitoring. Satellite remote sensing, unmanned aerial vehicle aerial survey and ground monitoring data are acquired through multi-source data acquisition; performing quality control and space-time standardization processing on the data; adopting an ensemble Kalman filtering assimilation algorithm to fuse multi-source data to generate a high-precision environmental parameter spatial distribution diagram; performing soil pollution, ecological environment and human health risk assessment based on the distribution map; finally, a scheme containing the governance technology and land planning suggestions is automatically generated through a rule engine and a knowledge base, the system comprises a data collection module, a preprocessing and quality control module, a data fusion engine module, an environment evaluation model base module and a governance scheme intelligent generation module, and the limitation that points replace surfaces in a traditional investigation method is overcome; the full-process automation from data perception to intelligent decision making is realized, and the comprehensiveness of environment investigation, the accuracy of evaluation and the scientificity and efficiency of governance decision making are improved.

The present application relates to the technical field of ecological environment data monitoring, and more particularly to a mine re-greening supervision method based on remote sensing image semantic segmentation.The method comprises the following steps: step 1: based on the original ecological index of a mine, a six-column time sequence matrix is established for each mine landscape patch; step 2: at each monitoring time, the time sequence matrix is iteratively decomposed by constrained non-negative matrix factorization by minimizing the K-L divergence, and the objective is to decompose the time sequence matrix into the product of a latent ecological function module weight matrix and a latent ecological function module index contribution matrix; and step 3: the resource-liability balance degree is weighted and averaged using the area of each mine landscape patch to evaluate the effect of mine ecological restoration.The present application realizes dynamic, fine and structured monitoring and evaluation of the mine ecological restoration process.

The invention relates to the technical field of image processing, in particular to a coastline automatic extraction method and system based on deep learning and satellite images. Comprising the steps of obtaining multi-temporal high-resolution image data of a target coast, and performing preprocessing to obtain an enhanced image sequence; extracting a connected component of the salinization erosion area, and generating a refined boundary pixel set; a distance field is generated, the minimum distance from each boundary pixel to the nearest boundary is calculated, an initial center point sequence is generated, and a spline curve fitting algorithm is adopted for optimization; generating a polygon buffer area, and performing superposition verification on the polygon buffer area and the enhanced image sequence to obtain a verified central point sequence; a continuous vector path is generated through fitting, coastline vector data are extracted, multi-temporal change monitoring is carried out, and high-salinity soil accumulation and erosion rate indexes are obtained; and updating the pixel-level classification to generate a final coastline vector data sequence. According to the method, the salinization erosion coastline can be efficiently and accurately extracted, and reliable data support is provided for ecological environment monitoring.

The invention provides a building door and window intelligent cloud platform with an outdoor environment meteorological integrated monitoring function, and aims to solve the technical defects of single data acquisition dimension, imperfect decision logic, weak data storage and processing capability, scattered management and control architecture, multi-target decision conflicts and the like of a building door and window control system in the prior art. According to the invention, by constructing an integrated ecological perception layer, a data access layer, a cloud scheduling layer and a decision output layer, real-time monitoring and multi-dimensional fusion of outdoor ecological environment meteorological data and indoor environment data are realized, big data analysis is introduced and adopted, and a dynamic decision mechanism of safety, comfort and energy-saving priority is combined, so that the real-time monitoring and multi-dimensional fusion of the outdoor ecological environment meteorological data and the indoor environment data is realized. The opening / closing operation state of the building doors and windows is accurately controlled, and cooperative scheduling between the door and window equipment is realized through the cloud platform. The system supports multi-scene application of smart cities, smart communities and smart buildings, improves the intelligent level of building doors and windows, effectively reduces the building energy consumption, and enhances the living comfort.

The invention discloses a desert vegetation multi-level investigation method of a single-voyage unmanned aerial vehicle, and belongs to the technical field of ecological environment monitoring and remote sensing. The invention provides a method for synchronously acquiring visible light and multispectral images through single-voyage flight, which ensures that data are highly consistent in time, space and attitude parameters, reduces the registration error of multi-source data from the source, and provides a basis for realizing high-precision fusion; meanwhile, the invention provides a digital elevation model generation method based on spectral index mask constraint, and vegetation points and ground points can be automatically and accurately separated in a sparse vegetation region, so that false terrain uplift is eliminated, and high-fidelity terrain data is obtained. The invention further provides an individual-plaque-landscape step-by-step aggregation ecological index inversion method to realize hierarchical association and collaborative expression of indexes of different scales, so that the problem of index dispersion is solved, and the structuralization degree of a quadrat survey data set is improved.

The application relates to the field of land management, in particular to a land element optimized allocation decision system and method based on artificial intelligence, which comprises a land remote sensing module, a region segmentation module, a development prediction module, a virtual merging module and an allocation decision module; the land remote sensing module is used for rasterizing land and inputting land element information; the region segmentation module is used for generating development regions and calculating shape coefficients; the development prediction module is used for calculating the output efficiency of land grids; the virtual merging module is used for merging adjacent development regions; and the allocation decision module is used for planning the development type of conflict grids; the application can reduce the waste of land resources, avoid the low-efficiency utilization caused by land dispersion, improve the land utilization efficiency, reduce the land development and management cost, ensure the scientificity and accuracy of land allocation, and realize the efficient utilization of land resources and the coordinated development of ecological environment.

The embodiment of the invention discloses a photovoltaic land zoning management and control method based on landform sensitivity and entropy regulation and control. The method comprises the following steps: acquiring a plurality of landform units of a to-be-managed and controlled area; according to the land utilization type and the land utilization structure information entropy of each landform unit, predicting an ecological risk index of each landform unit; performing bivariate spatial autocorrelation analysis on the land utilization strength comprehensive index and the ecological risk index of each landform unit; identifying a direct driving factor and a direct buffering factor of the ecological risk index by using a robust geographic detector and a structural equation model; for the landform unit with the analysis result of high-high, limiting and controlling the direct driving factor; and for the landform units whose analysis results are low-low, performing promotion management and control on the direct buffer factors. According to the embodiment of the invention, finer and more scientific ecological risk prediction of the ecological risk of the arid region is realized, and decision support with more practical significance is provided for ecological environment management and control of the photovoltaic industry in the arid region.

The application provides a remote sensing image green roof intelligent identification method and system based on an improved Mask RCNN algorithm, introduces an attention mechanism to enhance the feature extraction capability of the algorithm, constructs a joint loss function to improve the edge segmentation accuracy of the target, and realizes accurate detection of the green roof in a complex built environment. The application synchronously integrates a morphological parameter analysis module, can automatically extract geometric feature parameters such as the area, the circumference and the shape index of the green roof, realizes integrated processing of green roof identification and feature parameter extraction, and effectively solves the problems of difficult target instance differentiation and poor environmental adaptability compared with traditional methods, and provides a reliable technical means for monitoring and ecological environment benefit evaluation of the green roof.