Fallen leaf pine moth pest monitoring method based on unmanned aerial vehicle hyperspectrum and laser radar
The invention discloses a deciduous pine caterpillar pest monitoring method based on unmanned aerial vehicle hyperspectrum and laser radar, and relates to the technical field of forestry pest monitoring, and the technical scheme is characterized in that a pest indication index estimation model and a...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a deciduous pine caterpillar pest monitoring method based on unmanned aerial vehicle hyperspectrum and laser radar, and relates to the technical field of forestry pest monitoring, and the technical scheme is characterized in that a pest indication index estimation model and a pest severity monitoring model are constructed through unmanned aerial vehicle hyperspectrum and laser radar remote sensing technology; and remote sensing accurate monitoring of deciduous pine moth pests based on a multi-dimensional space is realized. The method described in the invention can sense the subtle change of forest tree damage, and realizes efficient and accurate monitoring of insect damage. Basic data and technical reserve are provided for forest pest prevention and control and ecological protection, and technical support is provided for intelligent forestry construction.
本发明公开了基于无人机高光谱和激光雷达的落叶松毛虫虫害监测方法,涉及林业虫害监测技术领域,其技术方案要点是:通过无人机高光谱和激光雷达遥感技术,构建虫害指示指标估算模型和虫害严重程度监测模型,实现基于多维空间的落叶松毛虫虫害遥感精准监测。本申请所记述的方法能感知林 |
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