Regional vegetation coverage monitoring method and system

CN119445360AActive Publication Date: 2025-02-14JIANGXI ACAD OF WATER RESOURCES (JIANGXI PROVINCE DAM SAFETY MANAGEMENT CENT JIANGXI PROVINCE WATER RESOURCES MANAGEMENT CENT)
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Patent Information

Application Number
CN202411368809.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-02-14
Estimated Expiration
2044-09-29

AI Technical Summary

Technical Problem

The prior art has problems such as inefficient, strong subjectivity and labor-consuming in vegetation coverage monitoring, and it is difficult to meet the needs of efficient, accurate and automated extraction of vegetation coverage.

Method used

By obtaining aerial pictures and preprocessing them, the images are convolutionized using the depth separation convolution algorithm and multi-scale global attention mechanism, creating masks and evaporating vegetation coverage, and automated monitoring is achieved.

Benefits of technology

It improves the efficiency and accuracy of vegetation coverage monitoring, reduces human resources investment, and achieves efficient and accurate automatic extraction of vegetation coverage.

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Abstract

The invention discloses a regional vegetation coverage monitoring method and system, and the method comprises the steps: obtaining an aerial picture in a monitoring region, and enabling the aerial picture to be in a BGR format; converting the aerial photo into a first grayscale image, and counting the number of non-zero pixels in the first grayscale image; performing threshold processing on the aerial photo, and creating a mask only containing a suitable color range part; operating the aerial photo through a mask, selecting a part matched with the color range in the aerial photo, and confirming a selected area; converting the selected area into a second grayscale image, and counting the number of non-zero pixels in the second grayscale image; and calculating the vegetation coverage according to the number of non-zero pixels in the first grayscale image and the number of non-zero pixels in the second grayscale image. According to the method, aerial image data can be effectively processed, the vegetation coverage monitoring efficiency and accuracy are improved, and manpower is effectively saved.
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Citation Information

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