Towards integrated essential variables for sustainability  

作　　者：Anthony Lehmann Joan Masò Stefano Nativi Gregory Giuliani 

机构地区：[1]enviroSPACE,Institute for Environmental Sciences,University of Geneva,Geneva,Switzerland [2]Department F.-A.Forel for Environment and Water Sciences,Faculty of Sciences,University of Geneva,Geneva,Switzerland [3]CREAF Grumets Research Group,CREAF,Edifici C.Universitat Autònoma de Barcelona,Bellaterra,Spain [4]National Research Council of Italy–Institute of Atmospheric Pollution Research,Sesto Fiorentino,Italy [5]GRID-Geneva,Institute for Environmental Sciences,University of Geneva,Geneva,Switzerland

出　　处：《International Journal of Digital Earth》2020年第2期158-165,共8页国际数字地球学报（英文）

摘　　要：Measuring the achievement of a sustainable development requires the integration of various data sets and disciplines describing bio-physical and socio-economic conditions.These data allow characterizing any location on Earth,assessing the status of the environment at various scales(e.g.national,regional,global),understanding interactions between different systems(e.g.atmosphere,hydrosphere,biosphere,geosphere),and modeling future changes.The Group on Earth Observations(GEO)was established in 2005 in response to the need for coordinated,comprehensive,and sustained observations related to the state of the Earth.GEO’s global engagement priorities include supporting the UN 2030 Agenda for Sustainable Development,the Paris Agreement on Climate,and the Sendai Framework for Disaster Risk Reduction.A proposition is made for generalizing and integrating the concept of EVs across the Societal Benefit Areas of GEO and across the border between SocioEconomic and Earth systems EVs.The contributions of the European Union projects ConnectinGEO and GEOEssential in the evaluation of existing EV classes are introduced.Finally,the main aim of the 10 papers of the special issue is shortly presented and mapped according to the proposed typology of SBA-related EV classes.

关 键 词：Earth observation GEO/GEOSS environment policy INDICATORS KNOWLEDGE implementation SDGs 

分 类 号：O17[理学—数学]