A soil testing and sampling method based on forestry protection

Abstract

This application belongs to the field of environmental monitoring and forestry ecological protection technology, specifically relating to a soil sampling method for forestry protection. This method aims to address the problems of insufficient representativeness, significant ecological disturbance, and low level of intelligent decision-making in traditional soil sampling. It acquires multi-source remote sensing data of forest areas through an aerial inspection platform, constructs a dynamic sampling priority map, and identifies high-risk areas such as sparsely vegetated areas and slope erosion zones. An improved ant colony optimization algorithm is used to plan adaptive sampling paths, densifying sampling points in high-priority areas while avoiding ecologically sensitive units. An autonomous mobile device performs closed-loop sampling, using near-ground sensors to re-verify surface and subsurface conditions in real time, triggering local replanning to avoid damage to root systems or fragile surfaces. This application improves the spatial representativeness of the sample, reduces ecological disturbance, and enhances the intelligent response capability and data reliability of field operations.

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