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33 results about "Urban forest" patented technology

An urban forest is a forest or a collection of trees that grow within a city, town or a suburb. In a wider sense it may include any kind of woody plant vegetation growing in and around human settlements. In a narrower sense (also called forest park) it describes areas whose ecosystems are inherited from wilderness leftovers or remnants. Care and management of urban forests is called urban forestry. Urban forests may be publicly owned municipal forests, but the latter may also be located outside of the town or city to which they belong.

Global positioning system satellite searching and scheduling method

The invention relates to the field of global satellite positioning and navigation, in particular to a satellite searching and dispatching method for a global positioning system (GPS); the method comprises three parts: a classifying satellite possibility dispatching method which comprises the steps as follows: the state of the satellite is judged by the obtained satellite information; each satellite is classified by the satellite state, thus presuming the searching scene further; according to the satellite classes and the searching scenes, different searching weights are arranged for each satellite so as to carry out the searching; a maintaining re-catching method for continuously searching the blocked satellites and a self-adaptive sensitiveness catching method which uses the catching methods of different sensitiveness by aiming at the satellites of different signal-noise-ratio. When the three methods are smartly used, the successful possibility of searching satellite is greatly improved, the time used for searching the satellite is reduced, the starting and positioning speed and the re-catching positioning precision are greatly improved, the power dissipation is reduced, and the problems of robustness and reliability in the satellite dispatching arithmetic are solved, thus improving the feasibility of the receiving machines in the urban forests where the blocking is severe, and greatly improving the experience of the user.
Owner:北京中科微知识产权服务有限公司

Allocation method of belt-shaped three-dimensional mixed noise reducing type urban forest

InactiveCN104255387ATo achieve the purpose of noise reductionHigh-frequency noise absorption effect is strongForestryUrban forestAgricultural science
The invention provides an allocation method of a belt-shaped three-dimensional mixed noise reducing type urban forest. The method comprises the following steps: (1) selecting plants; (2) planting a row of first arbors in the outer side of a roadway along the roadway direction, and densely planting dwarf shrubs around the first arbors to form a first allocation area; (3) sequentially outwards planting rows of tall shrubs, second arbors and second herbaceous plants in the outer side of the first allocation area to form a second allocation area, wherein the second allocation area and the first allocation area are separated through a sidewalk; (4) enabling the width sum of the second allocation area and the first allocation area to be 30 to 35m, and length to be not less than that of a noise sensitive target along the roadway direction. According to the allocation method of the belt-shaped three-dimensional mixed noise reducing type urban forest, proper arbors, shrubs and herbaceous plants are selected and allocated to form a mixed forest zone with a certain width in the side of the roadway, and therefore, the noise can be repeatedly absorbed and reduced at a plurality of times during being transmitted in the space, and as a result, the purpose of noise reducing can be reached, the noise can be reduced by 28.3%.
Owner:安徽省林业科学研究院

A method for screening plant allocation patterns with strong dust retention ability of urban forest

The invention discloses a plant configuration mode screening method with strong dust retention ability of urban forest, which comprises the following steps: according to different air pollution degree, dividing sample plots, respectively selecting landscape plant configuration as analysis object in each plot; Collecting the leaves of each plant configuration respectively; measuring PM (10), PM (2.5) adsorption capacity per unit leaf area of each plant;. Determining the dust retention per unit leaf area of each plant; establishing a comprehensive evaluation index system based on dust retentioncapacity, forest landscape, environmental adaptability and growth characteristics to sort the dust retention capacity of plants in different plots. Wherein the evaluation index of dust retention capacity is The adsorption capacity of PM (10), PM (2.5) and dust retention capacity of unit leaf area were measured by step S3-S_4. A multi-level comprehensive evaluation index system was established according to the different pollution degree of the sample plots, and the dust retention ability of the tested plants was sorted by using the regional and analytic hierarchy process (AHP). The evaluation results were highly reliable and pertinent, which provided guidance for urban forest construction and air pollution prevention and control.
Owner:HUNAN ACAD OF FORESTRY

Urban forest monitoring method based on cooperation of high-resolution remote sensing data and ground survey data

The invention discloses a high-resolution remote sensing data and ground data collaborative town forest monitoring method. The method comprises the following steps: step 1, data acquisition and preprocessing; step 2, constructing an urban forest sample label library; step 3, training and collaborative optimization of an urban forest distribution recognition model based on deep learning; step 4, identifying town forest images; and 5, verifying the ground precision of the urban forest identification result. The method has the advantages that (1) the recognition rate of the method is higher than that of a traditional method for the urban forest area with the high crushing degree; and (2) aiming at a domestic Gaofen-2 satellite image, a cooperative monitoring method of ground observation data in the whole process of sample making, urban forest coverage distribution identification and precision inspection is provided, and the monitoring precision of the urban forest is effectively improved through cooperative use of the ground observation data. And (3) the method can provide efficient and credible technical means support for related industry departments in the field of natural resources to carry out investigation and monitoring work of urban forest resources.
Owner:中国自然资源航空物探遥感中心

A laser radar point cloud power line classification method based on normal random sampling distribution

The invention discloses a laser radar point cloud power line classification method based on normal random sampling distribution, and the method comprises the following steps: (1) carrying out the preprocessing of original point cloud data, building a digital terrain model, and carrying out the rough extraction of power line candidate points through employing elevation filtering; (2) for the roughly extracted power line candidate point data, further optimizing and extracting power line candidate points in a three-dimensional space based on a normal distribution transformation algorithm; and (3)aiming at the optimized and extracted power line candidate point data, realizing accurate extraction of the power line points in a two-dimensional space by adopting a random sampling consistency algorithm principle. With the method of the invention adopted, power line classification can be realized in laser radar point cloud data of various complex environments such as an urban forest region; andan accurate power line extraction result is provided, so that the point cloud data classification efficiency is greatly improved, a new idea is provided for classification of various point cloud data, and accurate and comprehensive analysis data is provided for work such as power line inspection and the like.
Owner:HUNAN UNIV OF SCI & TECH

Laser radar point cloud power line classification method based on normal distribution and clustering

The invention discloses a laser radar point cloud power line classification method based on normal distribution and clustering, and the method comprises the following steps: (1) carrying out the preprocessing of original point cloud data, building a digital terrain model, and carrying out the rough extraction of power line candidate points through employing elevation filtering; (2) for the roughlyextracted power line candidate point data, further optimizing and extracting power line candidate points in a three-dimensional space based on a normal distribution transformation algorithm; and (3)for the optimized and extracted power line candidate point data, realizing accurate extraction of the power line points by using a mean value clustering algorithm. According to the invention, power line classification can be realized in laser radar point cloud data in various complex environments such as an urban forest area and the like, an accurate power line extraction result is provided, the point cloud data classification efficiency is greatly improved, a new idea is provided for classification of various point cloud data, and accurate and comprehensive analysis data is provided for worksuch as power line inspection and the like.
Owner:HUNAN UNIV OF SCI & TECH

Global positioning system satellite searching and scheduling method

The invention relates to the field of global satellite positioning and navigation, in particular to a satellite searching and dispatching method for a global positioning system (GPS); the method comprises three parts: a classifying satellite possibility dispatching method which comprises the steps as follows: the state of the satellite is judged by the obtained satellite information; each satellite is classified by the satellite state, thus presuming the searching scene further; according to the satellite classes and the searching scenes, different searching weights are arranged for each satellite so as to carry out the searching; a maintaining re-catching method for continuously searching the blocked satellites and a self-adaptive sensitiveness catching method which uses the catching methods of different sensitiveness by aiming at the satellites of different signal-noise-ratio. When the three methods are smartly used, the successful possibility of searching satellite is greatly improved, the time used for searching the satellite is reduced, the starting and positioning speed and the re-catching positioning precision are greatly improved, the power dissipation is reduced, and the problems of robustness and reliability in the satellite dispatching arithmetic are solved, thus improving the feasibility of the receiving machines in the urban forests where the blocking is severe, and greatly improving the experience of the user.
Owner:北京中科微知识产权服务有限公司
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