TLS measurement method for investigation of low shrub sample plot in alpine fragile region

Abstract

The invention discloses a TLS measurement method for investigation of a low shrub sample plot in an alpine fragile region, and belongs to the field of forest resource and ecological benefit evaluation. A sample plot is scanned according to different scanning points through a foundation laser radar, parameter extraction is carried out on data sets registered through combination of the different scanning points, the data sets registered through all the scanning points serve as references, the importance of all the scanning points is compared, and a selection basis is provided for selection of the scanning points of the sample plot. According to the method, vegetation structure data acquisition is performed on the low shrubs in the alpine fragile area based on a TLS standing mode in single scanning and multi-scanning modes, and the influence of different standing modes on extraction of three visual vegetation growth parameters including the number, the height and the crown breadth of thelow shrubs in the alpine fragile area is analyzed by taking gradient and topographic relief factors as environmental conditions. According to the invention, risks and costs can be reduced for vegetation sample plot investigation in plateau areas with fragile ecology and severe environment, and acquisition efficiency and data quality can be improved.

Description

technical field [0001] The invention belongs to the technical field of forest resources and ecological benefit assessment, and in particular relates to a TLS measurement method for the investigation of low shrub plots in alpine fragile areas. Background technique [0002] Shrubs, grasslands and meadows are the main vegetation types in alpine regions. Their plants are low but widely distributed, and they play an important role in global carbon cycle, land degradation prevention and biodiversity conservation. Since the 1980s, grasslands and meadows have undergone serious degradation, accompanied by shrubby features, resulting in the loss of biodiversity, water retention capacity and soil nutrients. [0003] For this type of vegetation, biomass and carbon sequestration are usually estimated by combining field surveys and optical remote sensing data. In recent years, lidar technology that can provide three-dimensional information has gradually replaced traditional optical remot...

AI Technical Summary

Problems solved by technology

However, few studies provide criteria for determining the location of scan points, and explore factors affecting the integrity of data acquisition

In addition, in some regions with harsh environmental conditions (such as the Qinghai-Tibet Plateau region), the risks and costs of vegetation surveys are high, and the efficiency and data quality are not high

Images