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Reviewing the discoverability and accessibility to data and information products linked to essential climate variables

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International Journal of Digital Earth 2020年第2期13卷 236-252页

作者： Maria Teresa Miranda Espinosa Gregory Giuliani Nicolas Ray Institute for Environmental Sciences enviroSPACE labUniversity of GenevaGenevaSwitzerland Institute for Environmental Sciences GRID-GenevaUniversity of GenevaGenevaSwitzerland GeoHealth Group Institute of Global HealthFaculty of MedicineUniversity of GenevaGenevaSwitzerland'

essential climate variables(ECVs)are geophysical records generated from systematic Earth Observations associated with climate variations,changes,and *** products support the data and information needs of international frameworks and policies such as the work of the United Nations Framework Convention on climate Change(UNFCCC)and the Intergovernmental Panel on climate Change(IPCC).We map the main networks and initiatives publishing ECVs,by presenting an overview of existing satellite-based ECVs,their general data creation characteristics,discoverability and accessibility methods from an end-user *** investigate key initiatives providing or coordinating access to ECV data records,such as the Global climate Observing System(GCOS),the Committee on Earth Observation Satellites(CEOS),the Coordination Group for Meteorological Satellites(CGMS),Joint Working Group on climate(WGclimate),the Remote Sensing Systems(REMSS),and the European Space Agency climate Change Initiative(ESA CCI).We find that ECV data discovery and access is difficult and time consuming due to the lack of common data and metadata *** addition,the selection of fit-for-purpose data records by end-users requires the implementation of interoperable standards and scalable data infrastructures to allow the generation of tailored applications and datadriven information products in support of decision-making processes.

关键词： essential climate variables climate services discoverability accessibility usability

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Innovative Analysis Ready Data(ARD)product and process requirements,software system design,algorithms and implementation at the midstream as necessary-but-notsuffcient precondition of the downstream in a new notion of Space Economy 4.0-Part 1:Problem background in Artificial General Intelligence(AGI)

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Big Earth Data 2023年第3期7卷 455-693页

作者： Andrea Baraldi Luca D.Sapia Dirk Tiede Martin Sudmanns Hannah L.Augustin Stefan Lang Spatial Services GmbH SalzburgAustria CGI Italy FrascatiItaly Department of Geoinformatics-Z_GIS University of SalzburgSalzburgAustria

Aiming at the convergence between Earth observation(EO)Big Data and Artificial General Intelligence(AGI),this two-part paper identifies an innovative,but realistic EO optical sensory imagederived semantics-enriched Analysis Ready Data(ARD)productpair and process gold standard as linchpin for success of a new notion of Space Economy *** be implemented in operational mode at the space segment and/or midstream segment by both public and private EO big data providers,it is regarded as necessarybut-not-sufficient“horizontal”(enabling)precondition for:(I)Transforming existing EO big raster-based data cubes at the midstream segment,typically affected by the so-called data-rich information-poor syndrome,into a new generation of semanticsenabled EO big raster-based numerical data and vector-based categorical(symbolic,semi-symbolic or subsymbolic)information cube management systems,eligible for semantic content-based image retrieval and semantics-enabled information/knowledge discovery.(II)Boosting the downstream segment in the development of an ever-increasing ensemble of“vertical”(deep and narrow,user-specific and domain-dependent)value–adding information products and services,suitable for a potentially huge worldwide market of institutional and private end-users of space *** the sake of readability,this paper consists of two *** the present Part 1,first,background notions in the remote sensing metascience domain are critically revised for harmonization across the multidisciplinary domain of cognitive *** short,keyword“information”is disambiguated into the two complementary notions of quantitative/unequivocal information-as-thing and qualitative/equivocal/inherently ill-posed ***,buzzword“artificial intelligence”is disambiguated into the two better-constrained notions of Artificial Narrow Intelligence as part-without-inheritance-of ***,based on a betterdefined and better-understood vocabulary of multid

关键词： Artificial Narrow Intelligence big data cognitive science computer vision Earth observation essential climate variables Global Earth Observation System of(component)Systems inductive/deductive/hybrid inference Scene Classification Map Space Economy 4.0 radiometric corrections of optical imagery from atmospheric,topographic,adjacency and bidirectional reflectance distribution function effects semantic content-based image retrieval 2D spatial topology-preserving/retinotopic image mapping world ontology(synonym for conceptual/mental/perceptual model of the world)

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