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Estimation method of urban tree carbon content based on multi-echo airborne laser scanning data

An airborne laser scanning, multi-echo technology, applied in image data processing, re-radiation of electromagnetic waves, radio wave measurement systems, etc., can solve problems such as huge labor and time

Active Publication Date: 2020-06-23
XIAMEN UNIV
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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

Method used

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  • Estimation method of urban tree carbon content based on multi-echo airborne laser scanning data
  • Estimation method of urban tree carbon content based on multi-echo airborne laser scanning data
  • Estimation method of urban tree carbon content based on multi-echo airborne laser scanning data

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Experimental program
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Embodiment

[0079] Such as figure 1 and figure 2 As shown, the carbon content estimation method of urban trees based on multi-echo airborne laser scanning data includes the following steps:

[0080] S1. Obtain multi-echo ALS point cloud data of multiple airways;

[0081] S2. Obtain nDSM data and intensity images of each laser channel;

[0082] S3, vegetation classification, obtain the canopy height model CHM;

[0083] S4, obtain crown height and crown diameter of trees;

[0084] S5, selection of ALS-DBH regression model;

[0085] S6. Prediction of carbon content;

[0086] S7 creates maps of urban carbon storage.

[0087] The wavelengths of the green laser, the near-infrared laser and the short-wave infrared laser in step S1 are 532 nm, 1064 nm and 1550 nm, respectively.

[0088] Step S2 specifically includes:

[0089] S21. Denoising the multi-echo ALS point cloud data of each airway respectively:

[0090] First, use an intensity filter to remove points with intensities outside 3...

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Abstract

The invention discloses a method for estimating the carbon content of urban trees based on multi-echo airborne laser scanning data, including: S1. Using a multi-spectral airborne laser scanner to scan urban trees to obtain multiple times Wave ALS point cloud data; S2. Preprocess the multi-echo ALS point cloud data of multiple airways to obtain nDSM data and intensity images of each laser channel; S3. Classify the nDSM data and extract the tree category data , obtain crown height model CHM; S4, estimate the shape parameter of tree by crown height model CHM, the shape parameter of described tree comprises crown height and crown diameter; S5, construct ALS-DBH regression model by empirical model earlier, then by on-the-spot selection Several tree samples were used for verification; S6, carbon content was estimated based on DBH and canopy height of all species. The invention is based on the tree shape parameters and allometric growth model of ALS, and can quickly and non-destructively estimate the carbon content of urban trees.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06T7/62G01S17/89G01S7/48
CPCG06T7/62G01S7/4802G01S17/89G06T2207/30188G06T2207/10032G06V20/188G06F18/2411
Inventor 李军陈心渠陈一平王程于君娜
Owner XIAMEN UNIV
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