• DocumentCode
    143696
  • Title

    Evaluation of soil moisture content from ASTER and Worldview 2 imageries

  • Author

    Soydan, Hilal ; Duzgun, H. Sebnem

  • Author_Institution
    Min. Eng. Dept., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3247
  • Lastpage
    3250
  • Abstract
    The traditional approach of soil mapping is time consuming and requires large amount of investments, especially for large scale areas, whereas the reflectance spectrometry for assessing the spectral behavior of soil has been an alternative [13]. This study aims to predict the moisture level in soil and significant wavelengths pointing the moisture existence with the help of satellite imageries and spectroscopic data. For that purpose, spectral profiles obtained from Advanced Spaceborn Thermal Emission and Reflection (ASTER) and Worldview 2 (Wv-2) imageries are utilized in the analysis coupled with the spectroscopic data acquired with ASD spectrometer instrument. The study reveals the fact that ASTER has a superior capability to predict the moisture content over Wv-2, also indicating the capability of Wv-2 having a narrow region in electromagnetic spectrum as a cost & time efficient tool.
  • Keywords
    soil; ASD spectrometer instrument; ASTER imagery; ASTER spectral profile; Advanced Spaceborn Thermal Emission and Reflection; Worldview 2 imagery; Wv-2 capability; Wv-2 imagery; cost efficient tool; large investment amount; large scale area; moisture content prediction; moisture existence; narrow electromagnetic spectrum region; reflectance spectrometry; satellite imagery; soil moisture content evaluation; soil moisture level prediction; soil spectral behavior assessment; spectroscopic data; time consuming soil mapping traditional approach; time efficient tool; Calibration; Data models; Moisture; Reflectivity; Remote sensing; Soil; Spectroscopy; ASTER; Moisture; Worldview 2;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947171
  • Filename
    6947171