54 results about "Mountain forest" patented technology

The invention discloses a lightweight small target detection method based on improved YOLOv11, and relates to the technical field of artificial intelligence and computer vision. Comprising the following steps: acquiring a mountain forest region image containing a small target, and performing data preprocessing on the mountain forest region image containing the small target to obtain a small target data set; a C3K2 module of the YOLOv11 model is replaced with a CGBlock module, two initial conv modules at the input end of a backbone network are reserved, the other conv modules are replaced with WP modules, an original detection head is replaced with an LDHead detection head, and the improved YOLOv11 model is constructed; inputting a small target data set, continuously iterating to obtain an optimal parameter, and generating a trained improved YOLOv11 model; and small target objects in the mountain forest area are detected. The method has the advantages of being light in structure, high in detection precision and high in complex background adaptability, and is suitable for small target detection tasks in a resource-constrained environment.

The invention discloses a steep mountainous area forest height inversion method and device fused with rising and falling rail short wave InSAR data, and aims to solve the problems of insufficient observation information and steep mountainous area gradient decoherence during InSAR inversion, and the method comprises the steps: obtaining rising and falling rail short wave InSAR data and sparse LiDAR data, and carrying out the preprocessing; calculating the gradient by using a digital elevation model, and performing terrain effect correction on the effective vertical wave number; determining a lifting rail data overlapping region, and establishing a semi-empirical SINC model for a non-overlapping region to invert the forest height; constructing a double-baseline forest height inversion model considering coherent phase and amplitude at the same time for the overlapped region, determining an optimal model parameter by taking the sparse LiDAR forest height as control, and performing inversion on the forest height; and finally, inlaying forest heights of the overlapping region and the non-overlapping region to form a complete and continuous product. According to the method, high-precision forest height inversion of the steep mountainous area is realized by fusing the ascending and descending rail InSAR data, and the method has good stability and popularization value.

The invention discloses a mountain forest global intelligent fire monitoring and automatic disposal system. The system comprises a rainwater collection and water polo fire extinguishing unit, a wind-solar complementary power supply and robot dog battery replacement unit, a multi-sensor monitoring unit, an unmanned aerial vehicle disposal unit and an intelligent control center. The system is based on theoretical design and engineering planning, rainwater is collected and filled into a specially-made rubber water ball, and accurate throwing fire extinguishing of the unmanned aerial vehicle is achieved; wind-solar power generation and robot dog autonomous power conversion design is adopted, so that the power supply continuity of the system is ensured; through the multi-level multi-sensor fusion design, low false alarm and rapid identification of the fire behavior are realized; and a three-level fire disposal strategy is designed, and automatic disposal and manual remote takeover are supported. The water storage tank is of a heat preservation heating structure, and annual stable operation is achieved. The system is suitable for fire prevention of large-area mountain forests, realizes water source self-sufficiency, autonomous power supply, intelligent monitoring, automatic fire extinguishing and autonomous operation and maintenance in principle, and remarkably improves the early-stage handling capacity of mountain forest fires.

The invention relates to the technical field of biodiversity research, and discloses a mountain tree species diversity remote sensing estimation method, which comprises the following steps: acquiring mountain tree species distribution data, acquiring a mountain remote sensing image, preprocessing the data, and calculating a tree species diversity index according to tree species distribution. Calculating the correlation between the spectral heterogeneity index and the tree species diversity index, constructing a mountain tree species diversity remote sensing mapping model according to the influence factor calculated by the spectral heterogeneity index, extracting the optimal parameter of mountain tree species diversity remote sensing estimation, and making a tree species diversity index spatial distribution map according to the spectral heterogeneity index to realize tree species diversity estimation. A terrain correction mechanism is introduced into the spectral heterogeneity index constructed by the method, the stability and reliability of the spectral heterogeneity index are improved, spectral response of the model to different tree species is improved after a weighted distance construction mechanism between pixels is combined, and the method is suitable for mountain forest areas with obvious topographic relief and has good application prospects. And multi-source input of multi-sensor remote sensing images is supported.

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.

1. Name of the designed product: sofa (mountain forest). 2. Use of the designed product: sofa for sitting when resting. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application relates to the technical field of remote sensing biomass detection, in particular to a mountain forest biomass recognition method and system based on high-resolution remote sensing data.The method comprises the following steps: based on the slope characteristic value of each pixel, all clustering clusters are divided into high-slope shady slope clusters and low-slope sunny slope clusters; based on the pixel value of all pixels in each low-slope sunny slope cluster, feature pixels are screened out from each low-slope sunny slope cluster; based on the fusion result of the pixel value mean value and the texture characteristic value of all pixels in each high-slope shady slope cluster, and in combination with the confusion degree of the coordinates of all feature pixels in each low-slope sunny slope cluster, the biological complexity is determined, and the biomass of a to-be-recognized mountain forest region is recognized. The application solves the problem that the biomass in the mountain forest is wrongly estimated due to the interference of terrain factors, and improves the accuracy of the recognition of the biomass condition of the mountain forest.

The invention discloses a rare earth mining area illegal mining unmanned aerial vehicle remote sensing intelligent detection method fusing multi-scale convolution and an attention mechanism. According to the method, YOLO11m is used as a baseline network framework, a multi-scale convolution attention enhancement module is embedded in the feature connection position of a backbone network and a neck network of the YOLO11m, and the multi-scale convolution attention enhancement module is formed by cascading a channel attention module, a space attention module and a multi-scale convolution residual block module. Complementary collaboration is formed among semantic channel enhancement, spatial region focusing and multi-scale context modeling through a progressive enhancement link, so that the detection rate and the positioning stability of a suspected illegal mining target under the complex mountain forest region condition are improved.

The application relates to the technical field of environmental protection, in particular to a forest desertification treatment method, which comprises the following steps: firstly, preparing a planting layer; then, transporting the planting layer to a desertification area; then, filling nutrient soil in the planting layer; then, planting plants in the nutrient soil; then, laying the planting layer on the surface of a stone wall; then, fixing the planting layer; then, watering the surface of the planting layer; and finally, spraying sticky mud on the surface of the planting layer. The planting layer is laid and fixed on the surface of the stone wall, and plants are planted in planting cavities in the planting layer, so that the influence of the slope gradient of the stone wall on the planting of the plants can be ignored, green plants can be effectively covered on steep stone walls, especially on huge stone blocks forming cliffs in mountain forests, and the desertification treatment effect of the mountain forests is improved.

The application discloses a forest leaf area index inversion acquisition method and system based on data fusion. The acquisition method comprises the following steps: performing cloud removal processing and cutting on remote sensing image data of a research area to obtain a segmented image; based on land cover data, obtaining forest pixels in each segmented image, and performing spatial aggregation matching with resolution to obtain aggregated remote sensing images; extracting a vegetation index from the segmented image; obtaining forest canopy height data of the research area; taking reflectivity values of different bands in the aggregated remote sensing images, the vegetation index, the forest canopy height data and a sun sensor related parameter as inputs, and taking the forest leaf area index as output to construct a forest leaf area index fusion prediction model, and obtaining a prediction result. The LAI distribution result obtained by the application has more spatial details, is more suitable for mountain forest ecosystems with large spatial heterogeneity, and can accurately and rapidly monitor mountain vegetation parameters.

The invention provides a fire monitoring method, which comprises the steps of performing data acquisition on a mountain forest fire scene through data acquisition equipment, performing scanning for flame color distribution and contour shape, and generating an initial fire feature matrix in combination with dynamic features of motion track fluctuation and regional heat accumulation; after the fire risk distribution map is obtained, adjusting key parameters in the fire feature vector by adopting a solution concentration proportioning technology and simulating the influence of a chemical environment stability test on the smoke diffusion rate, and obtaining the optimized fire state description; and according to the dynamic boundary of the fire area, fusing boundary heat flow analysis and solvent evaporation rate logic, analyzing the change trend of the smoke concentration gradient in the fire area, and generating the fire diffusion prediction sequence.

The present application relates to the technical field of mountain forest fertilization, and discloses a mountain forest tree energy-saving and environment-friendly slow-release fertilizer device, which comprises an enclosing cylinder, the enclosing cylinder is provided with an enclosing cavity, the enclosing cavity is provided with a swing ring plate, the swing ring plate is provided with an outer circumferential ring and an inner circumferential ring, the inner circumferential ring surrounds a tree base and is elastically connected with the tree base, and the outer circumferential ring surrounds the enclosing cavity in a circumferential direction and is elastically connected with the inner side wall of the enclosing cavity; the bottom of the swing ring plate is arranged in a suspended manner, the swing ring plate is provided with a storage cavity for placing fertilizer, and a plurality of fertilizer application holes are arranged in the swing ring plate; the top opening of the enclosing cavity is provided with a floating ring plate, the floating ring plate is annular, the outer side of the floating ring plate is provided with a floating outer circumferential ring, and the inner side of the floating ring plate is provided with a floating inner circumferential ring; the floating outer circumferential ring is elastically connected with the top of the enclosing cylinder, and the floating inner circumferential ring is elastically connected with the tree base; the floating ring plate is provided with a water cavity which is concave downward, and a plurality of water permeable holes are arranged in the floating ring plate; a plurality of support strips are arranged at the bottom opening of the enclosing cavity, and the inner ends of the support strips are fixedly connected with the tree base.

This invention relates to an automated monitoring method for the dynamic changes of plant diversity in mountainous forest areas, comprising: constructing a three-dimensional model of the target mountainous area and deploying a sensor network; collecting microclimate data and soil characteristic data to determine a spatial distribution matrix; acquiring historical plant distribution data of the target mountainous area, mapping it to the spatial distribution matrix to construct a comprehensive distribution map of environmental factors, and determining a correlation model between plant distribution and environmental factors; acquiring real-time satellite remote sensing image data of the target mountainous area, using the correlation model to analyze the characteristics of changes in plant cover and plant diversity distribution, and locating several key plant distribution areas; identifying plant species and counting their numbers in the key plant distribution areas, updating the comprehensive distribution map of environmental factors, and completing the automated monitoring of the dynamic changes of plant diversity in the target mountainous area. This invention integrates multi-source environmental data to achieve automated analysis of plant diversity distribution.

The invention relates to the technical field of fire distance measurement, and provides a mountain forest fire distance accurate measurement method and system based on three-dimensional panorama. The method comprises the following steps: determining a preset mountain forest monitoring area, performing pitching image acquisition in the area, and identifying mountain forest topographic features; dual-spectrum low-power-consumption pan-tilt modules are obtained, monitoring range penetration fitting is executed in combination with topographic features, monitoring points and a monitoring area are generated, and each monitoring point is provided with one pan-tilt module; performing visible light and thermal imaging time-space synchronous acquisition on a monitoring area through a holder module of a monitoring point, calculating the distance from a fire point to the monitoring point, and generating a fire point distance measurement time sequence; future environment prediction information is collected, the fire point diffusion direction and speed are predicted in combination with a fire point distance measurement time sequence, a diffusion prediction result is generated, and the technical problems that an existing mountain forest fire monitoring system is poor in adaptability to complex terrains, low in distance measurement precision and insufficient in fire point diffusion prediction capacity are solved.

The utility model is suitable for the technical field of gastrodia elata planting, and provides a water accumulation prevention device for gastrodia elata planting under a mountain forest. The drainage groove is formed in one side of the retaining wall and used for drainage of the gastrodia elata planting land under the mountain forest; the overflow pipe is fixedly mounted on the retaining wall, and the water outlet end of the overflow pipe extends into the drainage groove; the mesh enclosure is fixed at the water inlet end of the overflow pipe and is used for blocking impurities; the cover plate is arranged on the drainage groove; and the scraping plate is arranged in the drainage groove and is used for cleaning impurities. According to the water accumulation prevention device for planting gastrodia elata under the mountain forest, soil loss is reduced through the retaining wall, and the silt accumulation risk of the drainage groove is reduced from the source; the overflow pipe is matched with the drainage channel to form a drainage channel and matched with the mesh enclosure to intercept impurities to guarantee smooth drainage.

A weather forecast service integrated display board relates to the field of scenic spot weather forecast and is used for providing more visual weather forecast for mountain forest type scenic spots. The weather forecast service integrated display board comprises a pre-embedded base, a supporting column, a display screen and a broadcasting assembly. The embedded base is embedded underground; the supporting column is fixedly connected with the pre-buried base, part of the supporting column is buried underground, and the top of the supporting column forms an inclined plane; the display screen is arranged on the inclined face of the supporting column and attached to the inclined face of the top face of the supporting column, the edge of the display screen extends out of the supporting column, the display screen comprises a map part, a weather information part and a precautions part, the map part and the weather information part are distributed at intervals, and the map part and the precautions part are distributed at intervals. The announcement part is adjacent to the weather information part; the broadcasting assembly is arranged on the display screen, and the broadcasting assembly is arranged on the part, located outside the supporting column, of the display screen. The method is used for providing more visual weather forecast for tourists in the mountain forest type scenic spot.

The application discloses a mountainous forest tree root continuous drip irrigation system based on water storage irrigation, relates to the technical field of forest tree water storage irrigation, and comprises a tree hoop assembly arranged on the trunk of a forest tree, a water storage and flow guide assembly and a rainwater collecting and water guiding assembly. The tree hoop assembly is composed of a first hoop body and a second hoop body which are assembled by bolts. The water storage and flow guide assembly is fixed on the second hoop body. The tree hoop assembly, the water storage and flow guide assembly and the rainwater collecting and water guiding assembly are arranged to collect rainwater on site, store and purify the rainwater in the water storage and flow guide assembly, fix the whole system, stabilize the positions of the components, quantitatively store water, control the speed of water delivery, and deliver the water to the deep drip irrigation of the roots of the forest tree. The whole system integrates rainwater collection, water filtration, water storage and adjustable drip irrigation, does not need to lay a large-area field pipe network, is suitable for scattered forest tree planting in mountains, can be used for self-irrigation by rainwater in rainy days and external water supplement in dry seasons, and has the advantages of water saving, efficiency improvement and reduced cost of irrigation pipe protection in mountains.

The utility model relates to the technical field of unmanned aerial vehicle fire fighting, in particular to an unmanned aerial vehicle for mountain forest fire extinguishing. Comprising an unmanned aerial vehicle body, the bottom of the unmanned aerial vehicle body is provided with a detachably-connected suspension release device, the suspension release device comprises a bearing support seat detachably connected with the bottom of the unmanned aerial vehicle body, the bearing support seat is provided with a plurality of releasers, a control device and a water storage barrel, and the releasers are provided with detachably-connected suspension ropes. One end of each hanging rope is connected with the water storage barrel, and the control device controls the hanging ropes on the two adjacent releasers to be released to automatically disengage, so that the water storage barrel is turned over and toppled over when the hanging ropes are subjected to downward force. Therefore, the control device can accurately control the release of the hanging rope hung on the hook of the releaser, the accurate putting of a water source of the water storage barrel can be realized, and the fire extinguishing effect is improved; meanwhile, personnel are prevented from directly entering a dangerous area, and personnel safety is guaranteed.

The invention relates to the technical field of emergency rescue communication, in particular to a comprehensive positioning and emergency communication method for mountain jungle disaster rescue. Comprising the following steps: deploying an individual beacon and signal emission; deploying an unmanned aerial vehicle aerial platform and scanning response; sAR-based high-precision three-dimensional positioning of a complex environment is realized; constructing a self-adaptive 5G and Mesh ad hoc network based on perception; unmanned aerial vehicle precise hovering and communication guarantee based on positioning information; large-range communication coverage is carried out through multi-machine cooperation; through the above mode, the purposes of overcoming a complex terrain environment, realizing accurate positioning of a fire-fighting individual soldier, rapidly establishing a large-range and high-reliability emergency communication link, and guiding the unmanned aerial vehicle to carry out accurate communication guarantee are achieved.

The invention discloses a mountain area remote sensing image-based forest type identification method, and relates to the technical field of forest type identification. The method comprises the steps that a mountainous area remote sensing image to be recognized is cut to obtain a plurality of sub-image blocks, the space coordinate index of each sub-image block is recorded, and the cutting overlapping rate is larger than a preset value; respectively inputting each sub-image block into a trained mountain forest category identification model, and outputting a forest type classification result of each sub-image block; splicing the classification results based on the space coordinate index, and mapping the splicing results back to the mountain area remote sensing image space to be identified to obtain a forest type classification map with geographic reference; the model comprises a first classifier, and a multi-scale feature extraction unit, a feature fusion unit and a second classifier which are connected in sequence, and when the model is trained, the second classifier is assisted by the first classifier, so that loss values jointly participate in back propagation in a weighted sum mode. The method can improve the classification precision and classification efficiency of the forest types in the mountain area remote sensing image.

The invention discloses an unmanned aerial vehicle fire extinguishing method based on double network base stations, and belongs to the technical field of unmanned aerial vehicle fire extinguishing. The method comprises the steps of mountain forest management network platform establishment, daily fire source patrol, fire extinguishing task list establishment, fire extinguishing task scheme establishment, base station task preparation, task route flight, fire extinguishing observation and evaluation and task return flight. Wherein the mountain forest management network platform comprises a mountain forest fire-fighting management dispatching center, a fire source patrol unmanned aerial vehicle base station network and a fire extinguishing unmanned aerial vehicle base station network. According to the invention, through the dual-network base station, intelligent collaborative operation of an unmanned aerial vehicle patrol network and fire extinguishing network system equipment from fire source monitoring, fire extinguishing task generation to fire extinguishing task implementation is realized, so that the limitations of inconvenient traffic, insufficient hands of fire extinguishing personnel and the like in the traditional mountain forest fire extinguishing work are effectively overcome; in the whole mountain forest fire-fighting management process, firefighters do not need to directly participate in fire source field operation, the casualty risk of personnel is greatly reduced, and the fire-fighting operation efficiency is improved.

1. Name of the product in this design: Forest Fire Truck (All-Terrain). 2. Purpose of this design: This design is for use as a fire truck for extinguishing fires on the periphery of mountainous forests. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application discloses a kind of steep mountain forest height retrieval method and device of fusion lifting track short wave InSAR data, to solve the problem of insufficient observation information when InSAR is retrieved, steep mountain slope decorrelation, including: obtaining lifting track short wave InSAR data and sparse LiDAR data and preprocessing;Utilize digital elevation model to calculate slope, and carry out topographic effect correction to effective vertical wave number;Determine the overlapping area of lifting track data, establish semi-empirical SINC model to retrieve forest height in non-overlapping area;For overlapping area, construct double baseline forest height retrieval model considering coherence phase and amplitude simultaneously, determine optimal model parameters with sparse LiDAR forest height as control, and retrieve forest height;Finally, mosaic forest height in overlapping area and non-overlapping area forms complete continuous product.The application realizes high-precision forest height retrieval in steep mountain by fusing lifting track InSAR data, with good stability and popularization value.

The invention relates to the technical field of plant culture equipment, and particularly discloses a mountain under-forest seedling raising device for planting polygonatum sibiricum and polygonatum odoratum, which comprises a pull ring, connecting rods are symmetrically and fixedly connected to the bottom surfaces of the two sides of the pull ring, a connecting ring is fixedly connected to the bottoms of the connecting rods, and the mountain under-forest seedling raising device further comprises a seedling raising mechanism fixedly mounted on the connecting ring; the reinforcing mechanism is fixedly mounted on the seedling raising mechanism. Through the arranged protection pipe, certain protection can be provided during growth and development of seedlings, the problem that the survival rate is not high due to the influence of external force in the growing period is solved, meanwhile, the equipment can be rapidly and conveniently inserted into soil through the conical bottom cover, and the problems that planting is slow and difficult due to the fact that too many dead leaves are stacked on the bottom face of traditional forest land are solved; the bottom cover is formed by pressing and drying the fertilizer, that is, the bottom cover can be slowly decomposed due to the humid effect of soil after planting is completed, nutrition is continuously provided for the seedling bodies, and the survival rate of the seedling bodies is further increased.

According to the firewood furnace chimney spark dust collection device, the spark dust separation net and the ignition dust guide plate are arranged in the firewood furnace chimney, the spark dust separation chimney main body dust outlet is formed, the spark dust storage bin is arranged, and therefore the purposes of separating spark dust and collecting and storing the spark dust are achieved; and people and property loss caused by scalding and burning and igniting the tent are avoided, the firewood stove is safe and trustful when being used in outdoor camping, and the risk of causing mountain forest fire is avoided. When the firewood stove is ignited and combusted, spark dust enters the chimney along with the chimney suction force of flame hot air flow, and the spark dust enters the top end of an ash outlet of the spark dust separation chimney main body and is collected in a negative pressure area formed after the air flow is guided by the ignition ash guide plate under the blocking and guiding of a large inclination angle of the spark dust separation net; and the spark dust falls into the spark dust storage bin to be collected and stored under the condition that the suction force in the negative pressure area is reduced.

The invention discloses a mountain fire risk assessment and holder monitoring method and system, a medium and a product, and relates to the field of mountain fire monitoring. According to the implementation of the method, firstly, a mountain fire monitoring system quantifies various risk factors (a historical fire factor, a weather influence factor, a vegetation flammable factor and a human activity factor), and calculates a fire probability index corresponding to each region of a mountain forest; meanwhile, the mountain fire monitoring system establishes a fire spreading model and evaluates fire influence indexes corresponding to all areas of the mountain forest; and finally, the forest fire monitoring system calculates a comprehensive risk value based on the fire probability index and the fire influence index, and then formulates a differentiated holder monitoring strategy. According to the differentiated monitoring scheme based on risk assessment, the problem of unreasonable distribution of monitoring resources caused by a traditional fixed time interval polling mode is avoided, it is ensured that a high-risk area is fully monitored and covered, waste of the monitoring resources in a low-risk area is avoided, and the accuracy and efficiency of mountain fire monitoring are remarkably improved.

The utility model relates to the technical field of mountain forest carrying operation, and discloses a multifunctional mobile platform suitable for mountain forest carrying operation, which comprises a vehicle body, and a walking structure is arranged at the bottom of the vehicle body; the vehicle body is provided with an operation platform, the operation platform is provided with a dispatching shaft and a moving arm, the dispatching shaft is connected with a dispatching cable, the moving arm is provided with a winch, and the winch is connected with a moving cable; a protective wall is arranged on the periphery of the vehicle body and provided with an enclosure opening, the vehicle body is provided with an operation side and an anchoring side, and an anchoring cable is connected to the anchoring side. Through the walking structure, the vehicle body can move in a mountain forest and is anchored and fixed to the outside through the anchoring cable, so that anchoring in the operation process is achieved, and the vehicle body is prevented from overturning; through rotation of the transferring shaft, the transferring cable can transfer materials, through rotation of the transferring arm, winding of the transferring cable by the winch and the like, transferring or transferring of the materials can be achieved, multifunctional operation is achieved, and the operation efficiency is high.

The present invention provides an emergency broadcasting method and system for large-scale search and rescue in mountains and forests, which relates to the technical field related to emergency broadcasting, including: S1, obtaining a grid-divided mountain and forest map; S2, sending a corresponding first area search instruction to the mobile device carried by the rescue group through emergency broadcasting; S3, receiving obstacle information uploaded by the mobile device carried by the current rescue group, and obtaining the boundary line of the current obstacle area encountered by the current rescue group in the first layer of grid; S4, connecting the boundary line of the current obstacle area, the boundary line and the center point of the first layer of grid to form a closed searched area, and judging whether the searched area exceeds the preset area size of the first layer of grid. If so, go to step S5; if not, go to step S6; S5, sending a corresponding second area search instruction to the mobile device carried by the rescue group through emergency broadcasting; S6, sending a corresponding dispatch instruction to the mobile device carried by the rescue group through emergency broadcasting.

The application provides a kind of polyphylla pratt seed seedling method, belongs to polyphylla pratt cultivation technical field.The polyphylla pratt seed seedling method of the application includes sand storage, potassium permanganate solution soaking, soaking liquid soaking germination, sowing and placing covering after sowing and the like multiple steps.Snow mountain forest extract, cow hair seven extract and gibberellin in the soaking liquid in the application can synergistically break seed dormancy and promote seed germination.The covering in the application is a mixture of fern, early grass and ground ivy, which has the functions of water permeability, air permeability and water retention, and the released nutrient substances can promote the growth of seedling root system and improve seedling quality.The polyphylla pratt seed seedling method of the application is conducive to the large-scale production of polyphylla pratt seed seedlings, and provides sufficient high-quality seedlings for the planting of polyphylla pratt.

The invention relates to the laser radar processing field, and provides a mountain forest ground photon extraction method comprising the following steps: obtaining original photon counting laser radar data, and carrying out denoising processing on the original photon data to obtain signal photon point cloud data; performing transverse partitioning on the signal photon point cloud data, rotating the signal photon to an approximate level, establishing an elevation frequency histogram, and performing fitting to obtain pseudo waveform data; ground wave crests are extracted from the pseudo waveform data, photons in the ground wave crests are extracted and reversely rotated, and first ground photons are obtained; constructing a search neighborhood for the first ground photons to obtain a photon characteristic value, a photon maximum density and a photon maximum density direction, and rejecting near-ground non-ground photons by using the characteristic value to obtain second ground photons; constructing spatial distribution characteristic parameters, and extracting ground photon seed points in a data window based on the spatial distribution characteristic parameters, the photon maximum density and the photon maximum density direction; and encrypting the ground photon seed points to obtain complete under-forest ground photons.