A forest plot parameter extraction method based on multi-source data

CN122156947APending Publication Date: 2026-06-05国家林业和草原局华东调查规划院

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: 国家林业和草原局华东调查规划院
Filing Date: 2026-01-09
Publication Date: 2026-06-05

AI Technical Summary

Technical Problem

Existing forest survey techniques cannot accurately extract three-dimensional structural parameters and dominant tree species composition at the individual tree scale, and the data update cycle is long, leading to challenges in forest resource management and protection.

Method used

By employing multi-source data fusion technology, combining lidar point clouds, multispectral remote sensing images, and sample plot measured data, and registering UAV and backpack LiDAR point clouds using the ICP algorithm, we can perform single-tree segmentation, tree species classification, and volume inversion, thus constructing a complete technical system.

Benefits of technology

It enables accurate and efficient extraction of forest plot parameters, improves survey efficiency, reduces costs, is applicable to large-scale forest resource surveys, and meets the needs of multifunctional sustainable management.

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Abstract

The application discloses a kind of forest plot parameter extraction methods based on multi-source data, belong to forest quality assessment technical field.The method includes S1, acquisition multi-source basic data, and the data collected are preprocessed;S2, the data after pre-processing are carried out canopy density calculation, and preliminary classification of plot is completed;S3, acquisition remote sensing image data, laser point cloud data and sample plot survey data;S4, based on the data in S3 is carried out single tree segmentation, tree species classification and volume inversion processing;S5, based on the result data in S4 after processing combined with preliminary classification result of plot is determined index basic value and weight;S6, based on the proportion of management plot determination and plot field survey output management plot screening result.The method realizes the accurate, efficient extraction of multiple types of parameters, and provides technical support for forest resource investigation, quality evaluation and sustainable management in cold temperate forest region and similar areas.

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