A method for measuring the coverage of unmanned aerial vehicle ecological monitoring based on geographic grid

By binding elevation difference, canopy height, and observation stability parameters to a geographic grid, and combining incident angle and three-dimensional visibility ratio, the revisit priority is dynamically adjusted, solving the blind spot problem in coverage assessment in UAV aerial surveys, and achieving efficient and accurate coverage measurement and resource optimization.

CN121767582BActive Publication Date: 2026-07-24SHENYANG AGRI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENYANG AGRI UNIV
Filing Date
2025-12-22
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing UAV aerial survey technology is difficult to effectively consider the topographic undulations, canopy height differences and historical imaging stability within the grid in ecological monitoring. This leads to problems such as blind spots or overly conservative assessments in coverage evaluation, as well as uneven allocation of revisit resources or serious duplication of aerial surveys.

Method used

By employing a geographic grid-based approach, and by binding parameters such as elevation difference, canopy height, and observation stability, combined with incident angle analysis and three-dimensional visibility ratio calculation, the revisit priority and flight path planning are dynamically adjusted to form an iterative process for coverage measurement.

Benefits of technology

It improves the accuracy and processing efficiency of coverage measurements, reduces redundant aerial surveys, optimizes revisit resource allocation, and ensures coverage consistency and accuracy.

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Abstract

The application discloses a kind of unmanned plane ecological monitoring aerial survey coverage degree measurement method based on geographic grid, it is related to aerial survey coverage degree measurement technical field, obtains the boundary of the region to be monitored and generates grid unique number, bind topographic relief parameter, canopy height parameter and observation stability parameter, collect each grid incident angle set, calculate the range of view angle variation, when not satisfied, calculate the risk parameter of obstruction and compare with obstruction risk threshold, obtain coverage determination, construct local three-dimensional voxel model to invalid grid coverage, reproduce historical observation posture and execute line-of-sight penetration analysis, calculate three-dimensional visibility ratio and compare with three-dimensional visibility threshold to revise coverage state, still invalid grid is revised, and coverage improvement amount is calculated according to visibility ratio change, combined with revisit frequency to obtain revisit benefit ratio, according to benefit order classification and clustering generation revisit route according to spatial proximity relationship, recalculate key criterion after revisit and output grid coverage result set according to convergence criterion.
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Citation Information

Patent Citations

  • CN116385883A

  • CN119888503A