Author:
Chen Yihang,Cao Zening,Wang Jinxin,Shi Yan,Qin Zilong
Abstract
In the process of global information construction, different fields have built their own discrete global grid systems (DGGS). With the development of big data technology, data exchange, integration, and update have gradually become a trend, as well as the associative integration of different DGGS. Due to the heterogeneity of DGGS and the different encoding rules, how to build the encoding conversion rules and data mapping relationship between the same object in various DGGS is an effective support and key technology to achieve the interoperability of DGGS. As a kind of multipurpose DGGS, the quaternary triangular mesh (QTM) has become an effective spatial framework for constructing the digital earth because of its simple structure. At present, there are many schemes for QTM encoding research, which plays a key role in the development of QTM, but at the same time, it also leads to difficulties in the communication and integration of QTM under different encoding. In order to solve this problem, we explore the characteristics of QTM encoding, and put forward three conversion algorithms: resampling conversion algorithm, hierarchical conversion algorithm, and row–column conversion algorithm.
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Reference25 articles.
1. Datacubes: A Discrete Global Grid Systems Perspective
2. Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges
3. Overview of the research progress in the earth tessellation grid;Zhao;Acta Geod. Et Cartogr. Sin.,2016
4. A Hierarchical Coordinate System for Geoprocessing and Cartography;Dutton,1999
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献