A long-term investigation of AMSR-E Radio Frequency Interference (Contributo in atti di convegno)

Type
Label
  • A long-term investigation of AMSR-E Radio Frequency Interference (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/IGARSS.2012.6352014 (literal)
Alternative label
  • Lacava T., Coviello I., Faruolo M., Mazzeo G., Pergola N., Tramutoli V. (2012)
    A long-term investigation of AMSR-E Radio Frequency Interference
    in 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Munich, GERMANY, Munich;22 July 2012through27 July 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Lacava T., Coviello I., Faruolo M., Mazzeo G., Pergola N., Tramutoli V. (literal)
Pagina inizio
  • 7149 (literal)
Pagina fine
  • 7152 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • IGARSS 2012 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IMAA, Institute of Methodologies for Environmental Analysis (IMAA), National Research Council, Italy, C.da S. Loja, 85050 Tito Scalo, Italy. Department of Engineering and Physics of the Environment (DIFA), University of Basilicata, Italy, Via dell'Ateneo Lucano, 10, 85100 Potenza, Italy (literal)
Titolo
  • A long-term investigation of AMSR-E Radio Frequency Interference (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4673-1160-1 (literal)
Abstract
  • The Advanced Microwave Scanning Radiometer (AMSR-E) on Earth Observing System (EOS) Aqua was able to acquire global data for about nine years, from June 2002 to October 2011. During its operating phase, the main problem concerning AMSR-E data was the Radio Frequency Interference (RFI) which contaminated data acquired at C- and, with less relevance, X-bands. In this work the whole AMSR-E data-set has been analyzed by implementing the Robust Satellite Techniques (RST) approach. Such a multi-temporal technique allows for an automatic identification of areas which were systematically affected by RFI contaminating C- and X-band AMSR-E radiances. In addition, such an analysis gives us the opportunity of a first look for inter-annual RFI variations at a global scale. Preliminary outcomes of such a work are shown in this paper. (literal)
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