• DocumentCode
    84054
  • Title

    Foreword to the Special Issue on the Analysis of Multitemporal Remote Sensing Images

  • Author

    Piwowar, Joseph M. ; Yifang Ban ; McDermid, Greg ; Bruzzone, Lorenzo

  • Author_Institution
    Dept. of Geogr. & Environ. Studies, Univ. of Regina, Regina, SK, Canada
  • Volume
    7
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    3187
  • Lastpage
    3189
  • Abstract
    Remote sensing imagery is an essential source of information for monitoring change over large and small areas on Earth. Arguably, the most significant contribution that remote sensing makes to Earth observation is its ability to monitor changes in a repetitive, synoptic, and numerical manner. The satellite-image archive now stretches back some 40 years, with airborne products available well before that. Ever better, new and archived data, high in both quantity and quality, are now available. Advanced techniques for multitemporal analysis are on the cutting edge of research, whereas operational tools are available in commercial image-analysis software systems. Decision makers and the public demand better information about the environment and human activity that can be supplied by modeling trends, changes, and cycles using multitemporal remotely sensed images.
  • Keywords
    remote sensing; Earth observation; airborne products; archived data; environment activity; human activity; multitemporal remote sensing images; satellite-image archive; Algorithm design and analysis; Image sequences; MODIS; Meetings; Special issues and sections; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2357854
  • Filename
    6908980