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A Method of Retrieving Forest Canopy Aggregation Index Based on Full Waveform LiDAR Data

A laser radar and aggregation index technology, applied in the field of spatial information, can solve problems such as low point density, unsuitability for aggregation index inversion, and inability to record changes in canopy gaps. The method is simple, clear, adaptable, and logical Effect

Active Publication Date: 2021-12-24
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the low point density, this data cannot record small gap changes in the canopy, so it is not suitable for the inversion of aggregation index

Method used

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  • A Method of Retrieving Forest Canopy Aggregation Index Based on Full Waveform LiDAR Data
  • A Method of Retrieving Forest Canopy Aggregation Index Based on Full Waveform LiDAR Data
  • A Method of Retrieving Forest Canopy Aggregation Index Based on Full Waveform LiDAR Data

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Experimental program
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Embodiment 1

[0105] On a Lenovo ThinkStation desktop computer equipped with an Intel E3-1220@3.1GHz / 8M dual-core processor, the case implementation was carried out using the matlab programming language as an implementation tool; in this embodiment, the space-borne GLAS full-waveform lidar data as an example, according to figure 1 The shown implementation flow of the method is used to calculate the aggregation index; then, the algorithm proposed by the present invention is verified by using the aggregation index results measured in the field.

[0106] image 3 It is a scatter plot comparing the ground measured data with the result of aggregation index inverted based on the method of this patent. It can be seen from the figure that the application results of the method proposed in this patent in coniferous forest, mixed forest and broad-leaved forest all show similar results. The ground observation results are in good agreement, with a coefficient of determination of 0.63; in addition, the ...

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Abstract

The invention relates to a method for retrieving forest canopy aggregation index based on full-waveform laser radar data, and belongs to the field of spatial information technology. First, the ratio of the ground echo energy to the total echo energy is used as the gap fraction of the forest canopy in the lidar observation area; then, based on a radiative transfer model that only considers single scattering for the lidar, the ratio of the lidar observation area is calculated. The vertical gap distribution of the forest canopy, the result will be further used to calculate the canopy gap fraction of the canopy leaf elements in the random distribution state; finally, the obtained canopy gap fraction of the canopy leaf elements in the random distribution state and the non-random The gap fraction in the distribution state is used as input, and the aggregation index of the forest canopy is obtained based on Beer's law. Utilizing the invention, the inversion of high-resolution forest canopy aggregation index can be realized. The invention has important research significance and application value in the field of forest vegetation quantitative remote sensing.

Description

1. Technical field [0001] The invention relates to a method for retrieving forest canopy aggregation index based on full-waveform laser radar data, and belongs to the field of spatial information technology. 2. Background technology [0002] The aggregation index describes the spatial distribution pattern of leaves and is an important input parameter in the modeling of ecological, hydrological and land surface processes. It is also of great significance in applications related to remote sensing. For example, it is a necessary parameter for estimating the true leaf area index; it can improve the estimation accuracy of net primary productivity and gross primary productivity, etc. [0003] At present, many methods for retrieving vegetation aggregation index have been developed based on ground and satellite observation data. Ground observation methods mainly include: (1) digital hemispheric photography; (2) plant canopy analyzer; (3) multi-band vegetation imager; these methods ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/89G01S7/48
CPCG01S17/89G01S7/4802
Inventor 崔磊焦子锑孙梅
Owner BEIJING NORMAL UNIVERSITY