• DocumentCode
    299087
  • Title

    First evaluations of Shuttle SIR-C and X-SAR data for landcover classifications

  • Author

    Stolz, Roswitha ; Mauser, Wolfram

  • Author_Institution
    Inst. of Geogr., Munchen Univ., Germany
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1058
  • Abstract
    For the first time radar data in three frequencies (X-,C-,L-band) and in multipolarisation (HH, HV, VV, total power) are recorded simultaneously in orbit during the Shuttle Mission STS-59 in April 1994. The aim of this work is to improve land use classifications with X-SAR/SIR-C radar data. The data used are multitemporal X-SAR data (X-band) and SIR-C (C- and L-band) data of April 11, 1994. As a first step, the data were coregistered. From this data set three different band combinations were selected: multitemporal X-Band data, multipolarised C-and L-band of April 11 and a data set of the first two principal components of each frequency. All three sets were classified using a maximum likelihood classifier. Finally, a fieldwise post-classification algorithm was applied based on the majority rule and the results were compared with a digital ground truth map in a two-dimensional accuracy matrix. For a complete and exact assessment of the landuse classification capabilities the acquisition date was unfavourable due to the limited number of agricultural crops at that time. Only winter-cereals and rape seed had already emerged. However, vegetation cover on these fields ranged from approximately only 20% up to 80%
  • Keywords
    geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band; L-band; SIR; SIR-C; UHF SHF; X-SAR; X-band; agriculture crops; geophysical measurement technique; land surface; land use; landcover image classification; landuse; maximum likelihood classifier; multipolarisation; post-classification; radar polarimetry; radar remote sensing; spaceborne radar; terrain mapping; vegetation mapping; winter-cereals; Azimuth; Crops; Frequency; Geography; Geology; L-band; Polarization; Radar; Soil; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.521137
  • Filename
    521137