• Further adjustment of the Defense Meteorological Satellite Program-Operational Linescan System using radar data

    Fig. 2

    Stathakis, Demetris, and Leonidas Liakos. 2019. “Further Adjustment of the Defense Meteorological Satellite Program-Operational Linescan System Using Radar Data.” Journal of Applied Remote Sensing 13 (03): 034507/1-9. https://doi.org/10.1117/1.JRS.13.034507.

    University of Thessaly, Spatial Analysis/GIS and Thematic Mapping Laboratory,
    Department of Planning and Regional Development, Sekeri & Alamanas, Volos, Greece

    In the past, the Defense Meteorological Satellite Program—Operational Linescan
    System (DSMP/OLS) data have been successfully adjusted based on the presence of vegetation
    in each pixel. We propose a further adjustment based on radar data obtained by the SeaWinds
    scatterometer. It is shown that the adjustment results in substantial accuracy gains, measured as
    increased correlation with the more accurate Visible Infrared Imaging Radiometer Suite data as
    well as with the existing instances of radiance calibrated DSMP/OLS data. The proposed adjust-
    ment is easy to implement. The improvement of the proposed method is particularly significant
    in arid regions where vegetation is relatively sparse.

  • Median Shift Lunar Correction for VIIRS


    Stathakis, Demetris*, and Leonidas Liakos*. 2020. “Median Shift Lunar Correction for VIIRS.” IEEE Geoscience and Remote Sensing Letters, 1–5. https://doi.org/10.1109/LGRS.2020.3007965.

    * Planning and Development Department, University of Thessaly, 38334 Volos, Greece

    Visible Infrared Imaging Radiometer Suite (VIIRS) 24-h data are substantially affected by lunar illumination. A new method is proposed to correct this distortion and be able to form a consistent time series. The method has the advantage of being relatively simple in its deployment while at the same time effective. The results show that the proposed method removes periodical illumination noise due to the lunar circle while preserving meaningful information, in the test sites applied.

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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
This work by Leonidas Liakos is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported.