Abstract Tree Model for Gridded Cube Metadata

doi:10.3969/j.issn.1006-2475.2024.11.001

Abstract

Abstract: This paper aimed to investigate an abstract tree model for gridded cube metadata， designed to facilitate the management of heterogeneous multisource earth observation metadata， thereby reducing the need for parsing， adaptation， and storage structure design for heterogeneous metadata. Firstly， based on the analysis of the fundamental characteristics of earth observation metadata， this study abstracted the general components of metadata and defined a unified abstract tree model along with its operational methods. Subsequently， the storage and operational mapping of abstract tree models were implemented based on a relational database system. This endeavor was complemented by the design of a gridded cube metadata model aligned with prevalent international standards for geographic information interoperation. The overarching objective was to achieve unified integration and storage of heterogeneous metadata. Finally， a prototype system for managing gridded cube metadata was constructed. The management of North Atlantic environmental variables data was presented as an application case to demonstrate the operations of gridded cube metadata based on the abstract tree model. The application indicates that the proposed metadata model is user-friendly， highly extensible， and effectively supports the integration and storage of earth observation metadata.

Key words: , earth observation, metadata, tree model, data cube

CLC Number:

TP311

LI Deyou1, 2, YU Jinsongdi1, 2, WEI Dandan1, 2, LUO Yuan1, 2, TONG Ruiju3. Abstract Tree Model for Gridded Cube Metadata[J]. Computer and Modernization, 2024, 0(11): 1-6.

References

［1］张立福，陈浩，孙雪剑，等. 多维遥感数据时空谱一体化存储结构设计［J］. 遥感学报， 2017，21（1）：62-73.
［2］李德仁，张过，蒋永华，等. 论大数据视角下的地球空间信息学的机遇与挑战［J］. 大数据， 2022，8（2）：3-14.
［3］田帅. 一种基于MongoDB和HDFS的大规模遥感数据存储系统的设计与实现［D］. 杭州：浙江大学， 2013.
［4］阎继宁. 多数据中心架构下遥感云数据管理及产品生产关键技术研究［D］. 北京：中国科学院大学（中国科学院遥感与数字地球研究所）， 2017.
［5］唐宇. 基于多源遥感影像的空间索引和显示方法研究与实现［D］. 成都：电子科技大学， 2022.
［6］李俊杰，陈舒博，张文，等. 基于ODC的国产卫星影像存储与应用研究［J］. 地球信息科学学报， 2020，22（9）：1860-1867.
［7］刘娜. 一种基于NOSQL的遥感影像数据管理与分析系统［D］. 杭州：浙江大学， 2015.
［8］ BAUMANN P， MISEV D， MERTICARIU V， et al. Datacubes： Towards space/time analysis-ready data［M］// Service-Oriented Mapping： Changing Paradigm in Map Production and Geoinformation Management. Springer， 2019：269-299.
［9］ OGC. Coverage Implementation Schema： 09-146r2［S］. OGC， 2012.
［10］ ISO. Geographic Information——Content Components and Encoding Rules for Imagery and Gridded Data — Part 2： Implementation Schema： 19163-2 ［S］. ISO， 2020.
［11］赵汗青，郭刚. 地理空间信息元数据模型［J］. 测绘通报， 2002（增1）：19-23.
［12］胡浩雄. 海量多源异构遥感影像元数据存储检索方法［D］. 杭州：浙江大学， 2021.
［13］毕强，朱亚玲. 元数据标准及其互操作研究［J］. 情报理论与实践， 2007，30（5）：666-670.
［14］ HORSBURGH J S， TARBOTON D G， MAIDMENT D R， et al. A relational model for environmental and water resources data［J］. Water Resources Research， 2008，44（5）：84-95.
［15］孙光明，王硕. 基于JSON的Ajax数据通信快速算法［J］.计算机应用与软件， 2015，32（1）：263-266.
［16］瞿裕忠，张剑锋，陈峥，等. XML语言及相关技术综述［J］. 计算机工程， 2000，26（12）：4-6.
［17］欧阳圣，胡望宇. 几种经典搜索算法研究与应用［J］. 计算机系统应用， 2011，20（5）：243-247.
［18］ EISENBERG A， MELTON J. SQL： 1999， formerly known as SQL3［J］. ACM Sigmod Record， 1999，28（1）：131-138.
［19］ ISO. Geographic Information—Schema for Coverage Geometry and Functions： 19123：2018［S］. ISO， 2018.
［20］ AIORDĂCHIOAIE A， BAUMANN P. Petascope： An open-source implementation of the OGC WCS geo service standards suite［C］// Proceedings of the 22nd International Conference on Scientific and Statistical Database Management（SSDBM 2010）. Springer， 2010：160-168.
［21］ BAUMANN P， TEAM R. The EarthServer global datacube federation［C］// IEEE International Geoscience and Remote Sensing Symposium（IGARSS 2020）. IEEE， 2020：3192-3194.
［22］ STROBL P， BAUMANN P， LEWIS A， et al. The six faces of the data cube［C］// Proceedings of the 2017 Conference on Big Data from Space. JRC， 2017：32-35.
［23］ YU J S D， YANG Y L， TONG R J， et al. A study to manage multidimensional lmagery data in a spatial variable datacube［C］// IEEE International Geoscience and Remote Sensing Symposium（IGARSS 2022）. IEEE， 2022：4078-4081.
［24］陈远杰. 基于覆盖模型的遥感时序数据互操作计算应用研究［D］. 福州：福州大学， 2018.
［25］ YESSON C， BEDFORD F， ROGERS A D， et al. The global distribution of deep-water antipatharia habitat［J］. Deep Sea Research Part II： Topical Studies in Oceanography， 2017，145：79-86.
［26］ ROWDEN A A， STEPHENSON F， CLARK M R， et al. Examining the utility of a decision-support tool to develop spatial management options for the protection of vulnerable marine ecosystems on the high seas around New Zealand［J］. Ocean & Coastal Management， 2019，170：1-16.
［27］ TONG R J， DAVIES A J， YESSON C， et al. Environmental drivers and the distribution of cold-water corals in the global ocean［J］. Frontiers in Marine Science， 2023，10. DOI：10.3389/fmars.2023.1217851.
［28］ TONG R J， DAVIES A J， PURSER A， et al. Global distribution of the cold-water coral Lophelia pertusa［C］// IOP Conference Series： Earth and Environmental Science. IOP， 2022. DOI: 10.1088/1755-1315/1004/1/012010.
［29］ NASA Earthdata. Shuttle Radar Topography Mission （SRTM）［EB/OL］. ［2023-10-25］. https：//www.earthdata.nasa.gov/sensors/srtm.
［30］ DAVIES A J， GUINOTTE J M. Global habitat suitability for framework-forming cold-water corals［J］. PLoS One， 2011，6（4）. DOI: 10.1371/journal.pone.0018483.
［31］ TYBERGHEIN L， VERBRUGGEN H， PAULY K， et al. Bio‐ORACLE： A global environmental dataset for marine species distribution modelling［J］. Global Ecology and Biogeography， 2012，21（2）：272-281.
［32］ ASSIS J， TYBERGHEIN L， BOSCH S， et al. Bio‐ORACLE v2. 0： Extending marine data layers for bioclimatic modelling［J］. Global Ecology and Biogeography， 2018，27（3）：277-284.

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