Urban green land vegetation information datamation accurate determination method

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...

AI Technical Summary

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

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