• DocumentCode
    291715
  • Title

    Multitemporal analysis of ERS-1 and Landsat TM data for geologic studies

  • Author

    Loizzo, R. ; Labini, Sylos G. ; Pappalepore, M. ; Pieri, Marco ; Blonda, P. ; Pasquariello, G. ; Antoninetti, M.

  • Author_Institution
    Centro di Geodesia Spaziale, ASI, Matera, Italy
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1478
  • Abstract
    The work presents preliminary results obtained in a project aimed to analyse the possibility to use different approaches in the analysis of multisensor and multitemporal data for geologic applications. The study area is characterised by alluvial and marine deposits, mainly consisting of clays, sandstones and conglomerates, and is characterised by slowly progressing landslides. In order to evaluate the complementarity of optical and microwave data for geological inspection, an analysis with Landsat Thematic Mapper (TM) data is performed by visual inspection. Afterwards the ERS-1 (Earth Remote Sensing Satellite) multitemporal data set is considered in the same way. The results consist of lineament maps that present different structures, demonstrating the complementarity of the two data set. Lineament maps are digitized and statistically compared, in term of frequency of direction
  • Keywords
    geology; geophysical techniques; microwave imaging; radar applications; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1; IR infrared; Italy; Landsat TM; alluvial; clay; conglomerate; geology; geophysical measurement technique; land surface; landslide; lineament map; marine deposit; microwave radar; multisensor; multispectral remote sensing; multitemporal analysis; multitemporal data; optical imaging; sandstone; sedimentary rock; visible; Earth; Frequency; Geology; Inspection; Optical sensors; Performance analysis; Performance evaluation; Remote sensing; Satellites; Terrain factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399474
  • Filename
    399474