In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics.
Keywords: Soil mapping, vineyards, unmanned aerial vehicle, very high spatial resolution, soil surface characteristics.
Authors: Emmanuel CHEVIGNY (1,2), Amélie QUIQUEREZ (1), Christophe PETIT (3), Pierre CURMI (2)
(1) UMR 6298 ArTeHiS, Université de Bourgogne, 6 bd Gabriel, F-21000 Dijon, France
(2) AgroSup Dijon,UMR 1347 Agroécologie, BP 86510, F-21000 Dijon, France
(3) UMR 7041 ArScAn, Université Paris 1 Panthéon La Sorbonne, 3rue Michelet, F-75006 Paris, France