INSPIRE Knowledge Base

PolarView

Description
Organisation: 
GSE PolarView
Acronym: 
PolarView
Details
Mission and Objectives: 
Interact with Inspire as GSE team
Formal Mandate: 
International
Mandate: 
GSE (GMES Service Element) consortium
Activities: 
Provide EO-based services for snow, ice and glaciers
Membership: 
Alfred Wegener Institute, British Antarctic Survey, C-CORE, Canadian Ice Service (CIS), Depart-ment of Applied Mathematics and Theoretical Physics (DAMTP), Danish Meteorological Institute, ESYS, Finnish Environment Insitute (SYKE), Finnish Institute of Marine Research, Finnish Mete-orological Institute, French Research Institute for Exploitation of Sea, GRID-Arendal, Hatfield, Helsinki University of Technology, Hickling Arthurs Low Corporation, ISAC-CNR, MacDonald Dettwiler and Associates Ltd., MDA Geospatial Services, Noetix Research Inc., Norwegian Mete-orological Institute, Norwegian Polar Institute, Natural Sciences and Engineering , Research Coun-cil (NSERC), Stockholm University – Remote Sensing Laboratory, Swedish Meteorologi-cal/Hydrological Institute, Technical University of Denmark, University of Bonn – Centre for Re-mote Sensing on Land Applications / Zentrum Für Fernekundung der Landoberfläche (ZFL), Uni-versity of Bremen, University of Stockholm, Vexcel, VISTA Geowissenschaftliche Fernerkundung GmbH, VTT Technical Research Centre of Finland
Typology: 
Thematic
PROPOSED ROLE IN INSPIRE DEVELOPMENT

Which role(s) do you foresee for the SDIC in INSPIRE development

  • participate in the review process
  • yes
  • register a project to test/revise/develop the draft Implementing Rules
  • yes
  • be kept informed
  • yes
    Geographic Domain
    International
    Global
    Societal Sector
    International public/private service project
    Specific Expertise
    Specific Expertise: 
    Previous Experience relevant for INSPIRE development
    Providing EO based snow services
    Environmental application domains
    Snow monitoring
    Primary Business
    Environmental monitoring with remote sensing