Remote sensing monitoring method, device and equipment for grassland green returning period in high-altitude complex terrain area

By preprocessing and reconstructing the vegetation index sets in satellite remote sensing images in complex terrain areas at high altitudes, combining geographical partitioning and background field vegetation index thresholds, the problem of insufficient adaptability of traditional threshold methods in high altitudes and complex terrain areas is solved, and efficient monitoring of grassland rebirth is achieved.

CN119693805AInactive Publication Date: 2025-03-25BEIJING AEROSPACE HONGTU INFORMATION TECH
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Patent Information

Application Number
CN202510193323.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to effectively monitor grassland rebirth in high altitude and complex terrain areas, and the traditional threshold method is insufficiently adaptable.

Method used

By preprocessing satellite remote sensing images in complex terrain areas with high altitude, the initial long-term vegetation index set is constructed, and the target long-term vegetation index set is reconstructed through local fitting and global fitting, combining geographical partitioning and background field vegetation index thresholds, the estimation results of the rebengagement period are determined.

Benefits of technology

It effectively solves the problem of insufficient adaptability of traditional threshold methods in high altitude and complex terrain areas, improves the accuracy and adaptability of grassland rebirth monitoring, and the calculation process is simple and efficient.

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Abstract

The invention provides a remote sensing monitoring method, a remote sensing monitoring device and remote sensing monitoring equipment for a grassland reviving period in a high-altitude complex terrain area, and relates to the technical field of reviving period estimation. An initial long-time-sequence vegetation index set corresponding to the high-altitude complex terrain area is constructed based on the preprocessed satellite remote sensing image; performing local fitting and global fitting on the initial long-time-sequence vegetation index set to reconstruct the initial long-time-sequence vegetation index set, and obtaining a target long-time-sequence vegetation index set corresponding to the high-altitude complex terrain region; and performing geographical partition on the high-altitude complex terrain area, and determining a green establishment period estimation result corresponding to the high-altitude complex terrain area based on the target long-time sequence vegetation index set, the background field vegetation index threshold and the geographical partition corresponding to the high-altitude complex terrain area. The method effectively solves the problem that a traditional threshold value method is insufficient in adaptability in high-altitude and complex-terrain areas.
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