Urban-tree carbon content estimation method based on multi-echo airborne-laser-scanning data

Abstract

The invention discloses an urban-tree carbon content estimation method based on multi-echo airborne-laser-scanning data. The methods include: S1, using a multi-spectroscopic airborne laser scanner toscan urban trees to obtain the multi-echo ALS point cloud data of multiple flight strips; S2, preprocessing the multi-echo ALS point cloud data of the multiple flight strips to obtain nDSM data and intensity images of all laser channels; S3, classifying the nDSM data, and extracting tree category data therein to obtain a crown height model (CHM); S4, estimating shape parameters of the trees by thecrown height model, wherein the shape parameters of the trees include crown height and crown diameters; S5, firstly, building an ALS-DBH regression model by an empirical model, and then carrying outverification through selecting a plurality of tree samples on site; and S6, estimating a carbon content according to DBH and the crown height of all species. The method is based on the tree shape parameters of ALS and an allometry model, and can carry out fast and non-destructive estimation on the urban-tree carbon content.

Description

technical field [0001] The invention relates to a method for estimating the carbon content of urban trees based on multi-echo airborne laser scanning data. Background technique [0002] With the growth of population, urbanization has become an unstoppable trend. As cities expand, ecology and ground attachments also change. Ground attachments have changed from the natural environment to various urban buildings, such as: impermeable roads, high-rise buildings, parks, etc. These transitions have raised some pressing issues, such as the urban heat island effect. Urban expansion and economic activity also increase energy consumption and lead to the release of greenhouse gases. And vegetation in cities plays an important role in improving the urban climate, for example, tree shade and wind shielding effects can reduce direct solar heat and air infiltration into houses. At the same time, urban vegetation stores a large amount of carbon, which can greatly reduce the urban heat i...

AI Technical Summary

Problems solved by technology

[0003] Estimating the carbon content of urban trees requires a large amount of on-site data, which would be labor-intensive and time-intensive if measured manually

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