• DocumentCode
    3024462
  • Title

    Delineation of hydrocarbon contaminated soils using optical and radar images in a costal region

  • Author

    Espinosa-Hernandez, Abdallan ; Galvan-Pineda, Jesus ; Monsivais-Huertero, Alejandro ; Jimenez-Escalona, Jose C. ; Ramos-Rodriguez, Jose Maria

  • Author_Institution
    ESIA Ticoman, Nat. Polytech. Inst., Mexico City, Mexico
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    676
  • Lastpage
    679
  • Abstract
    Oil industry represents one of the main incomes for many countries. However, this industry is not exempt of accidents such as oil spills. Satellite remote sensing is a useful tool in delineating polluted areas due to its characteristic to cover large areas. This paper proposes a methodology combining information from both optical (Landsat) and radar (Envisat-ASAR) images to delineate polluted soils by hydrocarbons in the coast of Paraiso, Tabasco, Mexico. Landsat images identified polluted areas over the beach (bare soil); nevertheless, they did not reach the soil under vegetation conditions. In contrast, radar images did not indentify polluted areas in the beach mainly because of the extreme dry conditions in the soil. But, in vegetated areas, the radar penetrated the vegetation cover and identified the polluted soils. Both optical and radar information showed complementarities to delineate polluted areas under heterogeneous conditions.
  • Keywords
    contamination; geophysical techniques; oil pollution; organic compounds; petroleum industry; remote sensing by radar; soil pollution; vegetation mapping; Envisat-ASAR image; Landsat image; Mexico; Paraiso coast; Tabasco coast; bare soil; costal region; extreme dry conditions; heterogeneous conditions; hydrocarbon contaminated soil delineation; main country incomes; methodology combining information; oil industry; oil spill accidents; optical image; optical information; polluted area delineation; polluted beach area identification; polluted soil delineation; radar image; radar information; satellite remote sensing; vegetated areas; vegetation conditions; vegetation cover; Hydrocarbons; Laser radar; Optical sensors; Radar imaging; Soil; Vegetation mapping; Envisat/ASAR images; Landsat images; Soil pollution; coastal region;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721247
  • Filename
    6721247