GEOSatDB:global civil earth observation satellite semantic database  

作　　者：Ming Lin Meng Jin Juanzi Li Yuqi Bai 

机构地区：[1]Department of Earth System Science,Institute for Global Change Studies,Ministry of Education Ecological Field Station for East Asian Migratory Birds,Tsinghua University,Beijing,China [2]Department of Computer Science and Technology,Tsinghua University,Beijing,China [3]Tsinghua Urban Institute,Tsinghua University,Beijing,China

出　　处：《Big Earth Data》2024年第3期522-539,共18页地球大数据（英文）

基　　金：supported by the Major Program of the National Natural Science Foundation of China[42090015].

摘　　要：Satellite remote sensing,characterized by extensive coverage,fre-quent revisits,and continuous monitoring,provides essential data support for addressing global challenges.Over the past six decades,thousands of Earth observation satellites and sensors have been deployed worldwide.These valuable Earth observation assets are contributed independently by various nations and organizations employing diverse methodologies.This poses a significant challenge in effectively discovering global Earth observation resources and realizing their full potential.In this paper,we describe the develop-ment of GEOSatDB,the most complete semantic database of civil Earth observation satellites developed based on a unified ontology model.A similarity matching method is used to integrate satellite information and a prompt strategy is used to extract unstructured sensor information.The resulting semantic database contains 127,949 semantic statements for 2,340 remote sensing satellites and 1,021 observation sensors.The global Earth observation capabil-ities of 195 countries worldwide have been analyzed in detail,and a concrete use case along with an associated query demonstration is presented.This database provides significant value in effectively facilitating the semantic understanding and sharing of Earth observa-tion resources.

关 键 词：Earth observation SATELLITE SENSOR semantic representation information extraction 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]