50 results about "Forest cover" patented technology

The present invention discloses a multi-scale forest dynamic change monitoring method. The method comprises carrying out remote sensing image geometric correction and rectification; acquiring a land cover type map with a 1KM resolution ratio by using MODIS time series NDVI data with a 1KM resolution ratio of different seasons within one year; generating a coarse scale land cover changing map by using multiple years of land cover type maps with a 1KM resolution ratio; establishing a coarse scale forest cover change masking file by using a coarse scale land cover changing type map; establishing forest cover characteristic indexes on TM images with a 30 m resolution ratio according to the coarse scale forest cover change masking file; and extracting forest dynamic change information combining the coarse scale land cover changing map and forest characteristic indexes of time series. According to the method provided by the present invention, by using time series remote sensing data with different spatial resolutions, coarse scale land cover to fine scale forest change step-by-step detailed forest dynamic monitoring can be realized in large-area regions, and both monitoring efficiency and monitoring accuracy can be raised.

The invention provides an active-passive collaborative inversion method of forest coverage and effective leaf area index, the method comprising steps: 1) based on the forest parameters in the sample area obtained according to the airborne laser radar, obtained by the Li-Strahler geometrical optics model The percentage of illuminated surface area Kg of each mixed pixel; 2) According to the Kg value of each mixed pixel and the real reflectance of the pixel obtained from the optical remote sensing image, the linear spectral decomposition model is used to obtain the Li-Strahler geometric optics model The reflectance G of the illuminated surface and the average reflectance X0 of other components; 3) The two reflectances G and reflectance X0 obtained in 2) are used to obtain each real pixel on the entire image through the simplified model of Li-Strahler geometric optics The percentage of illuminated surface area Kg', and then get the canopy cover m and effective plant area index PAIe of each pixel. The invention utilizes the combination of the laser radar and the optical remote sensing data to reduce the influence of the mixed pixel and improve the accuracy of the optical remote sensing data inversion of the forest parameters.

The present invention relatesto a method for estimating area factor change of surface fealures of crop planted area, forest covered area and urban land-use area, etc. by using remote sensing data with different dimensions as data source and adopting symmetrical system sampling technique. Said invention utilizes remote sensing image with middle and low resolution, such as MODIS and TM to construct sampling basic unit, uses the primary estimate value of area changed dimension as auxiliary variable quantity to make collation, and adopts symmetrical system sampling technique to select sample point with strong representativeness, and utilizes the sample information to calculate the area change of researched object in whole region.

The invention provides an MODIS mixed pixels decomposition forest information extraction method, being integrated with the standard images of an MOD09A1 surface reflectance product and the standard images of an MOD13Q1 vegetation index product. The MODIS mixed pixels decomposition forest information extraction method is characterized in that the images of different MODIS products are provided with different forest information; and however, as the resolution ratio is low and large amount of mixed pixels exist in the images, the forest information is extracted through an improved end-member purification method and adoption of a linear mixed pixel decomposition model. The MODIS mixed pixels decomposition forest information extraction method of the invention has the advantages of being able to quickly extract the forest cover information in wide range, improving the forest mapping precision and the forest type identification precision, wherein only the MOD09A1 surface reflectance product and the MOD13Q1 vegetation index product are used during the information extraction process, thus obtaining ideal effect and being simple and practicable.

The invention discloses a Treelet curvelet domain denoising- based method for change detection of a remote sensing image. The method comprises the following steps: (1), reading data; (2), carrying out median filtering; (3), constructing a logarithm difference image; (4), constructing an absolute value difference image; (5), carrying out fast discrete curvelet decomposition; (6), carrying out classification on curvelet transform coefficients; (7), assigning all the curvelet transform coefficients of a Fine scale layer a value of zero ; (8), carrying out denoising on a Detail scale layer; (9), carrying out curvelet transform; (10), calculating a change proportion threshold; (11), carrying out classification; and (12) obtaining a change detection result graph. According to the invention, themethod has good robustness on noises; marginal information of a change area can be well maintained and fake change information is reduced; and the method has a high detection precision; moreover, themethod can be applied to fields including disaster monitoring, forest coverage rate assessment and city planning and the like.

The invention relates to a method for acquiring man-made target information by a target parameter inverse model covered by a forest, which belongs to the field of microwave remote sensing. The method solves the problem that the prior PolInSAR image parameter inversion can only acquire target information of natural scene, and can not acquire man-made target related information. The method can acquire optimized coherent coefficient through performing polarized interfere coherent optimized processing on PolInSAR image data, utilize the known data to establish a scattering model of a man-made target covered by the forest, and acquire related parameters of natural target information and the man-made target information such as vegetation height, extinction coefficient, as well as phase, man-made target height and target amplitude ratio and so on which are related to terrain in the inputted PolInSAR image data through the model. The acquired information can provide basic data for further analysis on a researched area. The method widens the application range of the PolInSAR technology, and can be applied in the fields of forest ecologic parameter detection and man-made target detection.

The invention belongs to the technical field of digitized fine grass cultivation and forest industry by combining vegetational community coverage calculation method and digital imaging as well as computer technology, which is suitable for the grassland vegetation having the height being less than 1 m and the coverage within the range of 5-99 percent; the height of forest cover is more than 5 m, and the shade density is more than 0.5; by combining the advanced digital imaging and computer image processing technology, a color distinguishing decision tree with three primary colors which are red, green and blue is constructed by utilizing the classification means of the decision tree from top to bottom, and taking digital photo software shot in the field as input item according to the color attribute difference of the grass and forest vegetations, and functional modules of digital photo software leading-in, ground object distinguishing, coverage calculating, divided result displaying and contrasting and the like are integrated on a Matlab7.0 platform to set up a visual interface and visual figures which are user interface friendly as well as convenient and fast in human-computer interaction, then the numerical value is calculated. The method can treat the conventional picture formats such as jpg, tif, tiff and bmp in batch to obtain the coverage data of grass and forest vegetations and has the observation accuracy reaching over 95 percent, and can be applied to the related fields such as vegetation dynamic monitoring, resources surveys, global changing vegetation monitoring, etc.

The invention relates to quick-acting cultivation technologies for a low-yield oil camellia forest. With tillage and straightening combination as a principle, the low-yield oil camellia forest is modified through a series of integrated cultivation technologies of forestland clearing, dense forest thinning, pruning, deep-excavation wasteland reclaim and reasonable fertilization, the low-yield oil camellia forest is promoted to have more blooms and fruits and keep good fruits, and the per unit area yield and the quality of oil camellia are substantially improved. Due to the implementation of the technologies, the low-yield oil camellia forest can achieve the yield of 35 kg oil per mu on the second year and the benefits are increased by more than 40%; the oil camellia industry can become the advantageous industry for promoting income increase and wealth obtaining of farmers, the economic income of the farmers can be increased, and the sustainable development of rural economy is achieved; meanwhile, the forest coverage rate can be increased, and a positive effect is achieved for ecological environment protection.

The invention relates to a method for measuring forest disturbance degree, which is characterized by comprising the following steps: defining target forest as pre-disturbance forest, potential forest cover or zonality forest; establishing a forest disturbance degree evaluating indicator system, and determining the specific evaluating indicator or a relative value; and applying a forest disturbance degree computing formula to evaluate the disturbance degree of the existing forests. The method achieves the quantitive evaluation of the forest disturbance degree, provides a specific method for researching the forest disturbance degree in the future, is not restricted by areas, forest types and disturbance types, has flexible choice indicators, can evaluate the disturbance degree of the existing forests with treatments in accordance with local conditions, and is easy to operate.

A corridor tree span design method of electric transmission line comprises steps as follows: cutting down 3-5 analysis trees in the wood in which a high voltage line is to be erected, after every tree is cut down, sectionally cutting out round discs according to length of 2 m, counting the annual rings of every round disc, measuring the diameter of every annual ring, drawing a stem analysis cross-section diagram, taking the Richards model as a prediction model, fitting by a correction index model at the same time, obtaining the theoretical values of the annual growth amount of the trees, predicting the future growth amount according to a regression curve, calculating the tree height prediction values and tree height growth limit values of different ages according to the future growth amount, carrying out optimized type selection design to overhead line structures according to estimated natural maximum growth height of the trees. The invention is advantaged by accurately predicting the height of the corridor trees, rationally designing the height of the overhead line structures, realizing erecting over the trees, finally ensuring safe operation of the power line, reducing construction cost, avoiding cutting the trees in large area and protecting the ecological environment and the forest cover.

The invention discloses a ganoderma lucidum spore powder cultivating and collecting technology and relates to an edible fungus cultivating and collecting technology. The technology includes the procedures that basswood varieties are selected, basswood is chopped down and cut off, the cut-off basswood is contained in bags and sterilized, inoculation is performed, mycelium culture is performed, the basswood is buried in soil, ganoderma lucidum emergence management is performed, and spore powder is cultivated and collected. The ganoderma lucidum spore powder cultivating and collecting technology is characterized in that the ganoderma lucidum spore powder cultivating and collecting procedure mainly includes the following steps that a cultivation environment is selected, cultivation raw materials are selected, materials are prepared, a thin film is laid, bag closing and sleeving are performed, cultivation management is performed, and powder is collected, dried, screened and stored. The technology has the advantages that the cultivation environment is selected in a mountainous area where mountains are green, water is clean and no pollution exists, the ecological environment is good, the forest coverage rate is high, air quality and water quality are good, and the heavy metal content of ganoderma lucidum spore powder is low; the cultivation raw materials are basswood, and nutrient sources are rich; a closed technology is adopted, no spores fly outside, spores are fully recycled, the yield is high, outside impurities cannot be mixed in the spores easily, and the spore purity is good.

The invention discloses a method for observing preferential flows in arid and semi-arid alpine regions, which belongs to a technical measure for researching forest hydrology processes, water resources and sloping-field runoff characteristics. In a technique and a method for observing preferential flow observing fields in arid and semi-arid alpine regions disclosed by the invention, according to the theories of forest ecology and forest hydrology, the occurrence regularity and development regularity of snowmelt runoffs are observed and studied, and through observation, research and analysis, the change rule of preferential flows under the conditions of different weather conditions, different forest vegetations, different forest coverage rates, different manual acting modes and different slope positions and directions is revealed, thereby finding effective ways of increasing the flow rate of preferential flows, developing and rationally utilizing water resources, making up the flow rate of river channels in dry seasons, relieving the contradiction of water utilization for spring ploughing in the middle and lower reaches of rivers, and solving practical problems which are badly required to be solved in current agricultural production.

The invention provides a forest fire prevention monitoring system based on a double-wave-band fusion theory. The monitoring system comprises a monitoring center and a plurality of monitoring points. Each monitoring point comprises a visible light camera a1, an infrared camera a2, a natural color image fusion module b and a video coding module c. A base station comprises a wireless transmission module d, a central processor e and a screen display wall f. The system makes full use of respective advantages of the visible light camera and the infrared camera, combines the double-wave-band fusion theory and achieves all-day, real time and high-efficiency monitoring of a forest cover area.

The invention discloses an arid and semiarid region alpine snowmelt runoff observation method. The observation method comprises the following steps: selecting a snowmelt runoff observation field; determining the construction place of the snowmelt runoff observation field; and constructing the snowmelt runoff observation field and a measuring cabin. According to the theories of the forest ecology and the forest hydrology, the generation and development rules of the snowmelt runoff are observed and researched, and the change rules of the snowmelt runoff under different meteorological conditions, different forest covers, different forest coverage rates and different artificial action modes are disclosed through observation, research and analysis, so the find-out of an effective way for increasing the flow of the snowmelt runoff, making up the flow of a river way in a dry season and alleviating the spring ploughing water conflicts along the middle and lower reaches is needed to solve an urgent practical problem in the current agricultural production.

The invention provides a project integrating functions of walls, fences, wattled walls, guardrails, advertising walls, isolation barriers and gallery frames with greening, landscape, planting, ecology and environmental protection, and should belong to the fields of architecture, landscape, planting, ecological environmental-protection and the like. Afforestation and expansion of urban and rural green coverage are urgent problems to be solved by our society; if tree planting can be used to replace the walls, the fences, the wattled walls, the guardrails, the advertising walls and the highway isolation barriers throughout the urban and rural areas, the urban and rural forest coverage can be increased in large area without occupying other lands; after years of research and adjustment on a planting soil layer, a dense planting method as well as trimming and pruning, fast-growing bamboo willow, salix babylonica and other easily cutting trees are selected, a 'sponge' soil structure is researched and developed, the survival rate is up to 95% or more, and the planting ecological wall, fence, guardrail and isolation gate are the best choices for constructing the urban and rural walls, fences (wattled walls), guardrails, landscape walls, advertising walls and highway isolation barriers, and are the transformation of alternative ways and forms and concepts of traditional walls and fences.

The invention discloses a phyllostachys-edulis-forest covering forcing culture method, and belongs to the technical field of plant cultivation. The method includes the steps of forest land selecting,covering, forest-land stand condition improvement after rice chaff is moved out, bamboo forest covering managing and the like; the method is characterized in that covering time is in November of the off year of a phyllostachys edulis forest, the forest land is subjected to stand condition improvement by 20 cm before covering, and then is watered completely, the surface of the forest land is evenlycovered with straw after one day, and then pig manure is poured onto the straw; the upper portion of the pig manure layer is evenly covered with a layer of straw, and then is watered completely; theupper face of the straw is covered with rice chaff with the thickness of 10 cm. The phyllostachys-edulis-forest covering forcing culture method is easy to operate and easy to popularize, bamboo sprouts can be early formed by 30 days about compared with common phyllostachys-edulis-forest covering, the bamboo sprout forming period is early by 3 months about compared with the bamboo sprout forming period of uncovering the phyllostachys edulis forest, bamboo sprouts are stably provided for markets, the phyllostachys-edulis-forest bamboo sprout yield and economic benefits can be remarkably improved, and meanwhile keeping of soil fertility is facilitated.

The invention provides a TSEVI-based forest cover change detection method. The method includes the following steps of: TSEVI optimization calculation; TSEVI standardization; ROC_TSEVI (TSEVI change rate) calculation; ROC_TSEVI visualization; and forest growth and loss extraction. According to the TSEVI-based forest cover change detection method of the invention, optical remote sensing images of more than two periods are utilized, the subtle changes (including forest growth and forest loss) of forest cover in complex terrain mountains can be effectively detected without the assistance of otherexternal heterogeneous data required.

The device measuring the percentage of forest canopy based on the system of the radiation of sunlight and light reception and processing according to the light reception rate and the creation of Solidarity and the connection with forest canopy structure that had a direct effect to one another as the existence of canopy that was a light barrier has been made. In this device, the structure of the canopy is the main base and the amount of light passing through the structure, on the basis of rigorous and proven scientific criteria of light intensity was the foundation of construction.

The invention relates to a field detection platform and method for a mountain covered by a forest, and the platform comprises a real-time display mechanism which is disposed near a long-focus capturing device, and is used for displaying each received confirmation recognition block; the long-focus capturing device which is arranged above the movable pan-tilt of an observation platform near a mountain peak and is used for performing image capturing operation of different focal lengths in different directions on a mountain covered by a forest under the operation of manual movement so as to obtain and output a mountain captured image, and also used for outputting a shooting view direction and a shooting focal length used for obtaining the mountain captured image. The field detection platform and method for the mountain covered by forest are reliable in operation and convenient to control. The problem that personnel search and rescue cannot be executed when the forest covers the mountain can be solved, and directional search and rescue of personnel in the forest and mountain area are realized by using a targeted detection mode of firstly identifying green components and then detecting personnel clothes, so that the field search and rescue efficiency is improved.

The invention discloses a grid-shaped alternate type bamboo forest covering cultivation method. The method is as follows: bamboo forest is uniformly separated into grids with a size of 1 m * 1 m to 9 m * 9 m; the grids are successively covered at intervals in the year; the uncovered grids in the year are covered in the next year; cyclic alternation is performed every year; and grid-shaped alternate type bamboo forest covering cultivation is yearly formed. The grid-shaped alternate type bamboo forest covering cultivation method provided by the invention can realize effective regeneration of a bamboo forest population, has sustainability of greenness, facilitates to protecting bamboo resources and the ecological environment of the bamboo forest, and improves income and production enthusiasm of bamboo farmers.

The invention relates to a multi-dimensional phyllostachys praecox bamboo shoot forest yield estimation method, which comprises the following steps: respectively collecting first yield sets corresponding to a plurality of bamboo shoot forests covered by forest cultivation in 0-6 years in the history, and establishing a basic yield model of the bamboo shoot forests covered by forest cultivation in 0-6 years according to a regression algorithm; obtaining a multi-dimensional influence coefficient of the to-be-measured phyllostachys praecox bamboo shoot forest, obtaining a to-be-measured basic yield of the to-be-measured phyllostachys praecox bamboo shoot forest according to the basic yield model, calculating and analyzing the to-be-measured basic yield and the multi-dimensional influence coefficient to obtain an estimated yield of the to-be-measured phyllostachys praecox bamboo shoot forest, and through using a mathematical statistics method as a theoretical basis, establishing a basic yield model on the basis of the forest growing year, the influence of the bamboo shoot type, rainfall, the number of standing bamboos and the age structure of the bamboo shoot forest on the yield is considered and converted into the product of the coefficient and the basic yield, the bamboo shoot yield is estimated, the method can estimate the bamboo shoot yield, meanwhile, the bamboo forest cannot be damaged, a reliable calculation model is provided for industrial planning of farmers, and the method is used for deciding subsequent production and development.

The invention relates to a high-strength formwork for a building. The high-strength formwork for the building is characterized by being prepared with, by weight, 100-200g of polyvinyl chloride, 50-60g of coal ash, 50-60g of lignocellulose, 10-15g of sodium hydroxide, 50-60g of water-soluble fluoride resin, 2-10g of antifoaming agent and 60-80g of polymethyl methacrylate. The high-strength formwork for the building has the advantages of being firm, durable, high in strength, good in elasticity and not prone to deforming as the polyvinyl chloride, the polymethyl methacrylate and the fluoride resin are adopted; wood is saved, forest cover is protected against excessive lumbering; the quality of the formwork is improved; after raw materials are mixed, the formwork can be manufactured through a mold according to the shape requirement of an actual building.

The invention relates to a comprehensive cultivation method of a moso bamboo forest covered with precise water and gas fertilizer, and belongs to the technical field of moso bamboo forest cultivation,which comprises the following steps of: covering and rotating; from March to April, laying three parallel pipes in a soil layer of the moso bamboo forest, which consists of a water injection pipe, agas injection pipe and a fertilizer injection pipe; from May to June, reclaiming the moso bamboo forest and flagellating through the fertilizer injection pipeline; from August to September, applying bamboo shoot fertilizer through the fertilizer injection pipeline; from October to November, carrying out the drip-pipe irrigation through the water injection pipeline, applying chicken manure organicfertilizer and bamboo charcoal fertilizer on the surface of bamboo forest, covering with the soil, and injecting gas through the gas injection pipe; from November to December, applying double-layer cover to the moso bamboo forest; at the end of April of the following year, removing all the bamboo shoots of the same year, not leaving mother bamboos of the same year, and continuously covering the soil over the year, since then, carrying out the method of operation in the covered soil every year. By means of the invention, the cultivation cost is reduced by comprehensive cultivation of moso bamboo forest cover.

The invention discloses a roadside tree automatic extraction method based on geographic national condition data and image classification, and the method is characterized in that the method comprises the following steps: exporting road network data from a geographic national condition database, constructing a road surface according to the road network data, and constructing a road recognition region according to the road surface; the geographic national condition database derives forest map spots, and the forest map spots and the road recognition area are combined to determine a first area and / or a to-be-supplemented area; obtaining a roadside tree area from the first area according to the roadside tree judgment step, and / or obtaining a supplementary roadside tree area from the to-be-supplemented area according to the roadside tree judgment step; performing information extraction on the reserved roadside tree area and / or the supplementary roadside tree area; the method has the advantages that the situations of effective information loss and data redundancy are prevented, the roadside tree area can be rapidly extracted in forest coverage rate calculation through combination of geographic national condition data and various images, the statistical time and the information extraction time are shortened, and the calculation cost is reduced.

The invention discloses a method for simulating wildfire extinguishing optimization in the technical field of fire prevention. The method comprises a model establishment stage, a simulation stage, a scheduling stage, a fire extinguishing stage, a result verification stage and an information storage stage, wherein the model establishment stage comprises establishment of a monitoring area terrain and forest coverage rate model, unmanned ground base station site selection and unmanned aerial vehicle model number statistics and distribution. The method has the beneficial effects that after the types, the number ratio and the distribution of the unmanned aerial vehicles for detecting the forest fire and the fire alarm condition are adjusted by establishing a model, full coverage and high detection efficiency can be realized in a seeking area under the condition that fewer unmanned aerial vehicles are used; the distribution and severity of future fire can be predicted through arrangement of past fire data, so that the quantity proportion and distribution of future unmanned aerial vehicles are optimized; the fire monitoring operation of the unmanned aerial vehicle at a relatively high altitude can be optimized, and meanwhile, the crash of the unmanned aerial vehicle in the operation process is reduced.

The invention provides a cultivation method for a ganoderma lucidum spore powder with a high triterpenes content. The technical core is as follows: the environment of a fruiting field is selected under a cryptomeria fortunei forest at the northern latitude of 31-33 degrees, at the altitude of 900-1100 meters and at the forest coverage rate of 93% or above; and according to the planting requirements, furrows with the depth of 18-22 cm and the width of 35-40 cm are dug in the fruiting field forest along the tree space, mushroom sticks full of hyphae are conveyed to the fruiting field, the mushroom sticks are transversely placed, the distance between every two mushroom sticks is 8-12 cm, then soil covering is performed, and the ganoderma lucidum growth management process is performed. According to the invention, a specific latitude range and a specific altitude range are selected as the growth environment of the ganoderma lucidum, and the produced ganoderma lucidum spore powder can obviously improve the content of effective medicinal components such as polysaccharides and triterpenes.

The invention discloses a roadside tree automatic extraction method based on geographical national conditions data and image classification, which is characterized in that it includes the following steps: deriving road network data from a geographical national condition database, constructing road surfaces according to the road network data, and constructing roads according to the road surfaces Recognition area; Geographic national conditions database derives forest map spot, combines forest map spot and road identification area to determine the first area and / or area to be supplemented; According to the roadside tree determination step, the roadside tree area is obtained from the first area, and / or According to the roadside tree determination step, the supplementary roadside tree area is obtained from the area to be supplemented; information is extracted from the reserved roadside tree area and / or supplementary roadside tree area; the beneficial effect of the present invention is to prevent loss of effective information and occurrence of In the case of data redundancy, through the combination of geographic national conditions data and various images, the roadside tree area can be quickly extracted in the forest coverage calculation, reducing the statistics time and information extraction time, and reducing the calculation cost.

The invention provides a forest fire monitoring and preventing and controlling system and a control method thereof, the forest fire monitoring and preventing and controlling system divides a forest cover region into a plurality of independent preventing and controlling grids via a grid form distribution, once there is fire in the grids, the fire can be detected in time and controlled by spraying water, so that the fire is isolated within a grid range, fire spreading is effectively prevented, and the fire is completely monitored by a central supervisory control computer, so that workers can take corresponding fire protection measures according to fire situation, and early monitoring and preventing and controlling for the forest fire are implemented; simultaneously, the method of the invention is used for controlling fire, fire protection in each grid of the system is automatically detected and controlled by a monitoring terminal, even in bad communication environment or communication breakdown, fire spreading is preferably controlled, increase of fire damage caused by delayed fire protection measures in bad communication situation is avoided, and emergency handling capability of the system is enhanced.

The invention relates to the technical field of bamboo products, and discloses a novel bamboo billboard and a preparation method thereof. The preparation method comprises the following steps that S1,two first bamboo tubes with the same length and diameter are cut out with a wood saw, and mounting holes are drilled in the upper portions of the front surfaces of the first bamboo tubes through a drilling machine till the mounting holes are drilled to the rear portions of the first bamboo tubes; and S2, a through groove is drilled in each first bamboo tube through the drilling machine, and long grooves are cut out in the first bamboo tubes with a chopper. According to the novel bamboo billboard and the preparation method thereof, the bamboo billboard is manufactured by using the first bambootubes, second bamboo tubes, bamboo poles and bamboo chips, the bamboo billboard is simple and natural, returns to the original nature and is more precious nowadays when the forest coverage rate is reduced, the bamboo billboard is easy to manufacture, can be used as a signboard of a store and can also be applied to landscape gardens, and the bamboo products belong to renewable resources. The renewable resources are fully utilized, and thus the novel bamboo billboard and the preparation method thereof are more environment-friendly.