A method for extracting exposed coal in an open coal mine area based on a Sentinel-2 remote sensing image

By analyzing the spectral characteristics of ground features using Sentinel-2 remote sensing images, and constructing band operation and threshold discrimination rules, the diversity and complexity of exposed coal extraction in open-pit coal mines using Landsat images were resolved, enabling precise extraction and standardized processing of bituminous coal and lignite.

CN122116182APending Publication Date: 2026-05-29ZHEJIANG NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG NORMAL UNIV
Filing Date
2026-03-27
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies for extracting exposed coal in open-pit coal mines using Landsat series remote sensing images face challenges in adapting to diverse coal types, addressing the complexity of mining environments, and maintaining robustness across time scales. This results in a lack of unified segmentation thresholds and universally applicable discrimination rules, making it difficult to achieve standardized, long-term coal mapping.

Method used

Using Sentinel-2 remote sensing imagery, we analyzed the differences in spectral characteristics of ground features, constructed band operation and threshold discrimination rules, calculated JMD values, performed resampling operations, and combined the actual geographical features of the mining area to carry out step-by-step extraction, forming a complete extraction rule system for bituminous coal and lignite.

Benefits of technology

It achieves accurate identification of bituminous coal and lignite, suppresses interference from easily confused features, is applicable to mining areas with complex land cover types, improves the accuracy and standardization of extraction results, and ensures that the extraction results are highly consistent with the actual geographical features of the mining area.

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Abstract

The application discloses a kind of based on Sentinel-2 remote sensing image's open coal mine area exposed coal extraction method, belong to exposed coal extraction field, the extraction method specific steps are as follows: I: obtain and pre-process Sentinel-2 image data, then according to the processed Sentinel-2 image data, the spectral feature difference of different ground objects is analyzed;The application can accurately suppress the interference of different easily confused ground objects, effectively capture the boundary between coal and non-coal ground, even for small-scale coal piles, scattered irregular small pits and slender shape exposed coal area can also be accurately identified, and it is suitable for more complex land cover type mine group extraction;At the same time, the application effectively solves the problem of ground object label conflict, reduces the pixel misjudgment condition, improves the accuracy of ground object classification, ensures that the extraction result is highly consistent with the actual geographical features of the mining area, improves the efficiency and standardization of exposed coal extraction work.
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