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Showing 1 to 1 of 1 for “"soil; remote sensing; hyperspectral; agriculture"”.

  1. Discriminating and mapping soil variability with hyperspectral reflectance data.

    The classification and mapping of soils and soil variability is important for a variety of environmental and agricultural applications. Advances in precision agriculture, better understanding of environmental processes and improvements in mathematical models used to predict and understand landscape …

    adelaide Repository record for Discriminating and mapping soil variability with hyperspectral reflectance data. (opens in a new tab)