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机构地区:[1]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,People’s Republic of China [2]Collaborative Innovation Centre of Geospatial Technology,Wuhan,People’s Republic of China [3]School of Resource and Environmental Sciences,Wuhan University,Wuhan,People’s Republic of China [4]Department of Geography,The State University of New York at Buffalo,Buffalo,NY,USA
出 处:《International Journal of Digital Earth》2018年第2期139-153,共15页国际数字地球学报(英文)
基 金:supported by the National Natural Science Foundation of China(NSFC)[grant numbers 41501383,91438203];China Postdoctoral Science Foundation[grant number 2014M562006];Natural Science Foundation of Hubei Province[grant number 2015CFB330];Fundamental Research Funds for the Central Universities[grant number 2042016kf0163].
摘 要:The development of global informatization and its integration with industrialization symbolizes that human society has entered into the big data era.This article covers seven new characteristics of Geomatics(i.e.ubiquitous sensor,multi-dimensional dynamics,integration via networking,full automation in real time,from sensing to recognition,crowdsourcing and volunteered geographic information,and serviceoriented science),and puts forward the corresponding critical technical challenges in the construction of integrated space-air-ground geospatial networks.Through the discussions outlined in this paper,we propose a new development stage of Geomatics entitled‘Connected Geomatics,’which is defined as a multi-disciplinary science and technology that uses systematic approaches and integrates methods of spatio-temporal data acquisition,information extraction,network management,knowledge discovery,and spatial sensing and recognition,as well as intelligent location-based services pertaining to any physical objects and human activities on the earth.It is envisioned that the advancement of Geomatics will make a great contribution to human sustainable development.
关 键 词:Big data GEOMATICS smart earth spatial data mining cloud computing spatial sensing and recognition
分 类 号:P22[天文地球—大地测量学与测量工程]
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