0000000001230881
AUTHOR
Françoise Vannier-petit
Vineyard soils and landscapes of the Burgundy Côte (France): a historical construction worth preserving
International audience; The construction of vineyard landscapes along the Burgundy Côte is the result of geological processes and of human labour. Substratum diversity in this vineyard is the result of a very long history explained by the diversity of Jurassic sedimentary facies and Tertiary tectonic activity. The nature and thickness of Quaternary deposits (Weichselian scree debris and alluvial fans) reflect sediment dynamics concurrent with the last glaciation. As soon as humans started to occupy and cultivate these slopes, the changes they made in the land through crop development and roads began to structure the vineyard plots in a lasting way. The footprint of vine work in soils can be…
USING AERIAL IMAGE ANALYSIS AS A TOOL FOR TOPSOIL, SOIL AND SUBSTRATE MAPPING IN VINEYARDS(BURGUNDY, FRANCE)
International audience; In Burgundy, vineyards present a high diversity of Terroirs, controlled by complex interactions between natural and human factors. The relationship between these factors leads to define wine typicity. However, a better understanding of how Terroirs have been defined is necessary for the sustainable, rational management of vineyard soils.The objectives of the study are (i) to identify Terroirs variability in vineyards of Burgundy (France) at hillslope scale and (ii) to highlight natural (soil, substratum) and anthropogenic factors (management practices) controlling Terroir diversity.To study Terroir at a fine scale, we developed a method based on a very high spatial r…
Mapping soil and substratum at a very high spatial resolution in the hillslope of Couchey (France)
International audience; 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. As soil results from parent material alteration, ide…