Land cover analysis method and system based on dynamic construction and progressive hooking

By using a dynamic construction and progressively linked land cover analysis method, a transfer matrix framework is automatically generated and derived indices are calculated, solving the problems of low efficiency and inconsistent formats in existing technologies, and achieving efficient and standardized output of analysis results.

CN122334207APending Publication Date: 2026-07-03WUHAN ZHITU TECH CO LTD
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Patent Information

Application Number
CN202610774404.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-01
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing methods for generating land cover transfer matrices rely on manual, step-by-step operations, resulting in low efficiency, susceptibility to errors, and inconsistent output formats. These methods fail to meet the automation and standardization requirements of large-scale, operational monitoring for data processing.

Method used

This paper presents a land cover analysis method based on dynamic construction and progressive linkage. It dynamically generates a transition matrix framework by parsing input data, performs multiple rounds of data association and calculation using row and column identifiers, automatically derives multi-level derivative indicators, and finally outputs a standardized transition matrix table.

Benefits of technology

It has achieved fully automated processing from raw data to final analysis reports, improving the accuracy, efficiency and standardization of land cover change analysis results, and avoiding errors and format inconsistencies introduced by manual operation.

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Abstract

This invention relates to the field of geographic information technology, providing a method and system for land cover analysis based on dynamic construction and progressive data linking. The method includes: reading and parsing the land cover types contained in the land cover data; dynamically generating a transfer matrix framework with corresponding rows and columns based on the parsed land cover types; statistically calculating the area transfer between different land cover types based on the land cover data and filling it into the transfer matrix framework; performing multiple rounds of progressive data linking using rows or columns in the transfer matrix framework as association keys to calculate and link multiple derived indicators; performing standardized summary calculations on the matrix data linked with the derived indicators, and outputting a standardized transfer matrix table. This invention achieves fully automated processing from data input to output, significantly improving the accuracy, efficiency, and standardization of the analysis results.
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