Remote sensing survey method and system for estimating tree coverage percentage of city

Abstract

The invention discloses a remote sensing surveying method used for estimating the urban tree coverage rate with high precision and a remote sensing surveying system thereof. The method comprises the following steps: S110, a multispectral remote-sensing image is utilized to carry out the partition aiming at extracting crown coverage areas; S120, aiming at the image areas generated by the partition, a fuzzy classifier is built to carry out the tree coverage classification of oriented objects; S130, the precision evaluation of the classified result is carried out; and S140, the urban tree coverage rate is calculated according to the classified tree coverage area. According to the invention, the actual crown ground cover area which is accordant with each tree in an urban area is extracted from the remote sensing images with high resolution, then the total area of the tree coverage in the urban area is calculated according to the pixel ground resolution of the remote sensing images, and finally, the tree coverage rate in the urban area is obtained. Compared with a tree coverage rate calculating method applied currently, the invention has the advantages that the estimation precision is obviously improved, and the actual position of the crown layer ground coverage area of each tree can be obtained.

Description

technical field [0001] The invention relates to a remote sensing measurement method for estimating urban tree coverage and a remote sensing measurement system thereof, belonging to the fields of urban garden statistics, forest and vegetation mapping, remote sensing image processing and application. Background technique [0002] Urban vegetation (mainly trees and grass) coverage rate is one of the important indicators to evaluate the quality of urban living environment, residential suitability and urban ecological robustness. At present, using high-resolution remote sensing images for forest vegetation mapping and estimating relevant forest vegetation parameters has become an advanced technical method, such as the UAV aerial photography remote sensing forest measurement method disclosed in Patent Document 1 and Patent Document 2 The disclosed quantitative estimation method of forest canopy space statistics based on high spatial resolution remote sensing images. [0003] Howe...

AI Technical Summary

Problems solved by technology

Since it is impossible for all urban trees to have the same size of canopy coverage, and the coverage length radius used in the calculation is usually difficult to determine, the estimation method is not very accurate

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