A forest land monitoring and evaluation method and system of multi-source data
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN ACAD OF ENVIRONMENTAL SCI
- Filing Date
- 2025-04-15
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies for assessing chlorophyll content using lidar data ignore the differences between different height ranges and canopy layers, resulting in insufficient accuracy and reliability of the assessment results. This is especially true in cases where forest spatial structure is complex and tree density is high, making it difficult to accurately assess the chlorophyll content in different areas of the forest.
Point cloud data is collected by installing lidar equipment, preprocessed, and then divided into height intervals along the vertical z-axis. The canopy outline is calculated, the void feature layer is screened out, a symmetric distance matrix is constructed, the fractal dimension is calculated, and the chlorophyll content is evaluated by combining the light source intensity and the fractal dimension.
It enables precise assessment of chlorophyll content in different areas and at different heights of forest land, improving the accuracy and reliability of assessment results. It can identify differences in forest land health status and photosynthetic efficiency, especially in densely wooded and spatially complex forests.
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Figure CN120370284B_ABST
Abstract
Citation Information
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