• DocumentCode
    110295
  • Title

    Airborne Prism Experiment Calibration Information System

  • Author

    Hueni, Andreas ; Lenhard, Karim ; Baumgartner, Andreas ; Schaepman, Michael E.

  • Author_Institution
    Remote Sensing Labs., Univ. of Zurich, Zurich, Switzerland
  • Volume
    51
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    5169
  • Lastpage
    5180
  • Abstract
    The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated meta-data in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and Matlab, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort.
  • Keywords
    calibration; geographic information systems; geophysics computing; remote sensing; APEX calibration information system; EAV paradigm; EAV software; airborne prism experiment; calibration coefficient generation; entity-attribute-value paradigm; imaging spectrometer calibration; international reference standards; multilayered information technology solution; product generation; pushbroom-based imagers; remote sensing instrument calibration; spatiospectral pixels; Calibration; Databases; Imaging; Instruments; Remote sensing; Servers; Standards; Imaging spectroscopy; relational database; sensor calibration;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2246575
  • Filename
    6488863