کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8060911 | 1520477 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A remote sensing data management system for sea area usage management in China
ترجمه فارسی عنوان
یک سیستم مدیریت داده برای سنجش از راه دور برای مدیریت استفاده از منطقه دریا در چین
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کلمات کلیدی
مدیریت استفاده از منطقه دریا، مدیریت داده های سنجش از راه دور، مدل سازی داده ها، مدیریت فراداده، خط تولید داده، محیط ساحلی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
اقیانوس شناسی
چکیده انگلیسی
In China, remote sensing data play an important role in sea area usage management. With the enrichment of available remote sensing platforms and sensors, the volume constantly growing, and more and more complicated data processing operations on data products, remote sensing data overload has been an obvious problem for anyone who is trying to set planning policies and monitor sea area usage activities based on the valuable data products. In order to solve the problem, this paper presents a customized remote sensing data management system (RSDM) for archiving and distributing the remote sensing data products for sea area usage management. This paper has identified a set of key domain requirements by reviewing the workflow of sea area usage management. In the RSDM, a metadata interpreter tool allows data managers to classify the data products into categorical data types according to a set of domain-specific business rules, and a data model based on data lineage is developed to support tracing all relevant data products along processing chains. In addition, a unified procedure, which is used to create Quick Look images with transparent border areas from different remote sensing data sources, is developed. What is more, the system provides summary information about the available data suitable for auditing and exploratory data analysis by using a series of statistic graphs from different perspectives for data managers and users. This paper demonstrates that the RSDM improves data managers' day-to-day working arrangements, and facilitates the application of the remote sensing technology in sea area usage management.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean & Coastal Management - Volume 152, 1 February 2018, Pages 163-174
Journal: Ocean & Coastal Management - Volume 152, 1 February 2018, Pages 163-174
نویسندگان
Wei Liu, Shibin Liu, Jianhua Zhao, Jianbo Duan, Zhihong Chen, Rui Guo, Jialan Chu, Jing Zhang, Xinpeng Li, Jianbo Liu,