Method and system for assisting in evaluating grade of green port based on multi-source remote sensing data

By using multi-source remote sensing data, a remote sensing data-green port evaluation model is constructed, and the existing green port level evaluation data source is solved, and the efficient, accurate and dynamic evaluation of green port evaluation is achieved.

CN119649235AInactive Publication Date: 2025-03-18CHINA WATERBORNE TRANSPORT RES INST
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Patent Information

Application Number
CN202510168480.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-17
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing green port level evaluation data source is single, lacks unified standards and specifications, and cross-regional and regional evaluations are difficult to unify. The workload of data collection and reporting is large and cannot be verified. The data collection method has a long cycle and is insufficient real-time.

Method used

Using a method based on multi-source remote sensing data, a scientific remote sensing data-green port evaluation model is constructed by integrating data sources such as high-resolution remote sensing images and multi-spectral imaging spectrometers, combined with image processing and big data technology, and a scientific remote sensing data-green port evaluation model is realized to achieve dynamic and comprehensive evaluation of green port evaluation indicators.

Benefits of technology

It improves the real-time and dynamic nature of green port evaluation, enhances the comprehensiveness and accuracy of evaluation, reduces evaluation costs and improves work efficiency, and promotes the wide application and in-depth development of the green port evaluation system.

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Abstract

The invention relates to the technical field of green port grade evaluation, and particularly discloses a method and system for assisting in evaluating the grade of a green port based on multi-source remote sensing data, and the method comprises the steps: determining a port area boundary range and a port storage yard range based on a high-resolution remote sensing image, and limiting a port area; establishing an attribute table based on a geographic information system; identifying a dust suppression measure, a sewage pretreatment / treatment measure and a sound insulation and vibration reduction measure based on a high-resolution remote sensing image; identifying a shoreline utilization degree, a solid waste recycling measure, a harbor district greening measure and an ecological bank protection measure in a harbor district boundary range; identifying emission concentrations of COD, ammonia nitrogen, NOx, and particular contaminants in the defined port area; carrying out score marking on the recognition result in an attribute table to obtain a comprehensive evaluation result; and assisting in evaluating the grade of the green port based on the comprehensive evaluation result. The method achieves the evaluation of the grade of the green port based on remote sensing data, and improves the evaluation efficiency and accuracy.
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