Providing data quality information for remote sensing applications

F. Albrecht*, T. Blaschke, S. Lang, H. M. Abdulmutalib, G. Szabó, Barsi, C. Batini, A. Bartsch, Zs Kugler, D. Tiede, G. Huang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)15-22
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number3
DOIs
Publication statusPublished - 30 Apr 2018
Event2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing - Beijing, China
Duration: 7 May 201810 May 2018

Keywords

  • Data quality dimensions
  • Disaster management
  • ISO 19000
  • Quality criteria
  • Remote sensing lifecycle
  • Standardisation
  • Validation procedures

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