Urban green land vegetation information datamation accurate determination method
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology of information data and measurement methods, applied in image data processing, instruments, computing models, etc., can solve the problems of inability to identify plant species and limited physiological and biochemical parameters of vegetation.
Active Publication Date: 2021-03-23
SHANGHAI ACADEMY OF LANDSCAPE ARCHITECTURE SCI & PLANNING
View PDF5 Cites 8 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0004] Chinese patent document CN 105352895B describes a method for extracting vegetation information from hyperspectral remote sensing data, which performs dimensionality reduction preprocessing on the hyperspectral remote sensing spectrum image to obtain vegetation canopy spectral reflectance data; establishes vegetation canopy spectral reflectance data and vegetation The empirical mathematical model between the standard values of the parameters is used to obtain the hyperspectral remote sensing estimation method of the physiological and biochemical parameters of the vegetation; through this method model, the spectral reflectance data of the vegetation canopy is obtained from the hyperspectral image, and the estimated value of the vegetation parameters is further obtained. Estimation of physiological and biochemical parameters of vegetation, but using satellite remote sensing data, only part of the information of vegetation can be estimated on a large scale, and the species of plants cannot be identified
At the same time, the vegetation physiological and biochemical parameters obtained by this patent are also very limited, only including leaf area index and chlorophyll content
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0224] Such as Figure 1-6 As shown in , the accurate measurement method of urban green space vegetation information digitalization includes the following steps:
[0225] Step 1. Capture images of the target area by manned or unmanned aerial vehicles. The types of image capture include high-resolution panchromatic images, hyperspectral images, and thermal infrared images;
[0226] Step 2. Set a standard reference object on the ground, and record the latitude and longitude coordinates and related information of the reference object, which are used for geometric correction in image preprocessing and accuracy evaluation of vegetation element determination;
[0227] Step 3, extracting the road image in the captured panchromatic image of the target area, and fitting the extracted road information with the landmark point data in the geographic information system, so as to locate the target area and obtain geographic data information;
[0228] Step 4. The preprocessing of high-resol...
Embodiment 2
[0239] 1. The test area of this embodiment is located in Wuqiao Nursery Base (121.41°E, 30.96°N), Fengxian District, Shanghai, with an area of 3.83hm 2 . Its vegetation is rich in types. Plants include: Malus halliana Koehne, Loropetalum chinense (R.Br.) Oliver var.rubrum Yieh), Elaeagnuspungens Thunb., Acer palmatum (Acer palmatum Thunb.), Viburnum dilatatum Thunb., Euonymus japonicus Thunb.var.aurea-marginatus Hort., Liriodendron tulipifera'ureomarginatum', Gleditsia triacaanthos'sunburst' ), Hibiscus syriacus Linn., Aesculus chinensis Bunge, Liriodendron chinense (Hemsl.) Sarg., Ribes odoratum Wendland, Cinnamomum camphora (Linn ) Presl), cherry blossom (Prunus serrulata), magnolia (Magnoliadenudata Desr.), juniper (Sabina chinensis (Linn.) Ant.), crape myrtle (Lagerstroemia indicaLinn.), beech (Zelkova serrata (Thunb.) Makino), etc.;
[0240] 2. Collect high-resolution panchromatic images and multispectral data with the help of satellites, manned aircraft or unmanne...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
An urban green land vegetation information datamation accurate determination method comprises the steps of collecting high-resolution panchromatic images, hyperspectral images and thermal infrared images in a target area, obtaining approximately continuous spectral reflectance of different plant species, enhancing the ability to detect ground feature attribute information, and combining texture features of the high-resolution panchromatic images to accurately position and recognize plant contours, and detecting the plant temperature through thermal infrared data. The method can determine and identify plant species types, obtain geographical position, area, chlorophyll, carotenoid, anthocyanin and temperature information of urban green land plants, and also can obtain crown projection areasand crown projection perimeters of trees and shrubs. An object-oriented greenbelt vegetation accurate measurement method is proposed for the first time, and urban greenbelt information in a large-area range can be rapidly and accurately measured. Compared with most inversion models based on pixels, the method has the advantages that the calculation result is faster, more accurate and more comprehensive.
Description
technical field [0001] The invention relates to the field of ecological environment monitoring, in particular to a data-based and accurate measurement method for urban green space vegetation information. Background technique [0002] Urban green space is an important part of urban ecosystem. The vegetation in urban green space is the economic, aesthetic, ecological and cultural resources that human beings depend on, and it plays a role in protecting species diversity and avoiding ecological system imbalance. Investigating and determining the vegetation information in urban green space plays an important role in evaluating, managing and creating a good urban park green space environment, enhancing the image of the city, promoting urban development, and improving the quality of life of residents. The productivity and health level of urban green space vegetation are directly related to human social life, so it is of great social significance to carry out the investigation and e...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more