Methods and Systems for Assessing the Status of Vegetation Restoration in Coal Mining Subsidence Areas

By acquiring remote sensing images at each stage of the treatment of coal mining subsidence areas, calculating vegetation cover performance and initial restoration scores, the shortcomings of assessment at a single time point are addressed, enabling dynamic monitoring and scientific decision-making on vegetation restoration status, and optimizing restoration strategies.

CN122135219BActive Publication Date: 2026-07-17SHAANXI ECOLOGICAL IND CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHAANXI ECOLOGICAL IND CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for assessing the status of vegetation restoration in coal mining subsidence areas rely on remote sensing images from a single time point, which fails to fully reflect the dynamic changes in the restoration status, affecting the accuracy of the assessment results and the scientific nature of restoration decisions.

Method used

By acquiring remote sensing images at fixed intervals during each governance stage, calculating the difference between the near-infrared reflectance and the infrared reflectance of each pixel, and combining the vegetation cover performance and the initial restoration score, a comprehensive governance score is obtained, enabling dynamic monitoring and evaluation of the vegetation restoration status.

Benefits of technology

This has enabled a shift from single-point inspection to process monitoring, accurately identifying areas where restoration is lagging or experiencing abnormal fluctuations, providing a scientific basis for ecological restoration management, optimizing restoration strategies, and promoting the development of ecological restoration in coal mining subsidence areas towards precision and dynamism.

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Abstract

This invention relates to the field of image processing, specifically to a method and system for assessing the vegetation restoration status of coal mining subsidence areas. The method includes: acquiring the vegetation growth degree of the region corresponding to each pixel in each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage; obtaining the vegetation cover performance of each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage; and combining the average vegetation growth degree of the region corresponding to all pixels in each remote sensing image with the difference between the initial vegetation restoration score of each remote sensing image of the coal mining subsidence area to be assessed during each remediation stage and its previous remote sensing image to obtain a comprehensive remediation score for each remediation stage. This invention aims to solve the problem that current assessments based on the last image of the subsidence area during a remediation stage often fail to accurately represent the remediation status.
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