We describe a new method to map intra-plot soil surface heterogeneities at a 5 cm spatial resolution. Our approach unites aerial image classification acquired at very high spatial resolution (VHSR) with local soil sampling. VHSR aerial image processing, based on image classification, allows precise mapping of the spatial distribution of soil surfaces; soil sampling defines soil typology by physical and chemical characteristics. This method has been applied to a plot area located on the hillslopes of Burgundy vineyards (Monthelie, France), where decennial erosion data were already available, in order to assess the effect of soil surface characteristics and slope angle on erosion intensity and localisation. From this method, four classes of radiance were distinguished and interpreted as four soil surface state classes (SSC), defining specific areas within the studied plot. These SSCs have been characterised by their grain-size distribution, their organic carbon, calcium carbonate, and total nitrogen contents.
By allowing soil surface states to be mapped at five centimetre resolution, this approach provides novel insights into the characterisation of soil patterns and into erosion analysis on cultivated hillslopes. Our work shows that the spatial distribution of soil erosion is related to the local slope steepness but also to the spatial distribution of stoniness that results from water and tillage erosion processes.
Assessing the impact of soil surface characteristics on vineyard erosion from very high spatial resolution aerial images (Côte de Beaune, France)
Résumé
en
We describe a new method to map intra-plot soil surface heterogeneities at a 5 cm spatial resolution. Our approach unites aerial image classification acquired at very high spatial resolution (VHSR) with local soil sampling. VHSR aerial image processing, based on image classification, allows precise mapping of the spatial distribution of soil surfaces; soil sampling defines soil typology by physical and chemical characteristics. This method has been applied to a plot area located on the hillslopes of Burgundy vineyards (Monthelie, France), where decennial erosion data were already available, in order to assess the effect of soil surface characteristics and slope angle on erosion intensity and localisation. From this method, four classes of radiance were distinguished and interpreted as four soil surface state classes (SSC), defining specific areas within the studied plot. These SSCs have been characterised by their grain-size distribution, their organic carbon, calcium carbonate, and total nitrogen contents.
By allowing soil surface states to be mapped at five centimetre resolution, this approach provides novel insights into the characterisation of soil patterns and into erosion analysis on cultivated hillslopes. Our work shows that the spatial distribution of soil erosion is related to the local slope steepness but also to the spatial distribution of stoniness that results from water and tillage erosion processes.
Auteur(s)
Amélie Quiquerez1
, Emmanuel Chevigny1
, Pascal Allemand2
, Pierre Curmi3
, Petit Christophe4, 5
, Philippe Grandjean2
1
ARTeHiS -
Archéologie, Terre, Histoire, Sociétés [Dijon]
( 184759 )
- Université de Bourgogne - 6, Bd. Gabriel - 21000 Dijon
- France
Ministère de la Culture et de la Communication ( 300125 )
;
Université de Bourgogne ( 300270 )
;
Centre National de la Recherche Scientifique UMR6298 ( 441569 )
2
LGL-TPE -
Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement
( 153787 )
- Université Claude Bernard, Lyon1 - Campus de la Doua, bâtiment Géode - 2, rue Raphaël Dubois - 69622 Villeurbanne Cedex
École Normale Supérieure de Lyon - 46, Allée d'Italie - 69364 Lyon cedex 07
Université Jean Monnet - Faculté des Sciences et Techniques - 23 rue du Dr Paul Michalon - 42023 Saint Étienne Cedex 02
UMR CNRS 5276
- France
École normale supérieure de Lyon ( 6818 )
;
Université Claude Bernard Lyon 1 ( 194495 )
;
Université de Lyon ( 301088 )
;
Institut national des sciences de l'Univers UMR5276 ( 300045 )
;
Université Jean Monnet - Saint-Étienne ( 300284 )
;
Centre National de la Recherche Scientifique UMR5276 ( 441569 )
3
Agroécologie [Dijon]
( 183071 )
- Université de Bourgogne - 17 rue Sully - BP 86510 - 21000 Dijon
- France
Institut National de la Recherche Agronomique UMR1347 ( 92114 )
;
Université de Bourgogne ( 300270 )
;
AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement UMR1347 ( 415469 )
4
ArScAn -
Archéologies et Sciences de l'Antiquité
( 1003 )
- MSH Mondes (bâtiment René-Ginouvès). 21, allée de l’Université 92023 NANTERRE Cedex
- France
Université Paris 1 Panthéon-Sorbonne UMR7041 ( 7550 )
;
Université Paris 8 Vincennes-Saint-Denis ( 11141 )
;
Université Paris Nanterre UMR7041 ( 116205 )
;
Ministère de la Culture et de la Communication UMR7041 ( 300125 )
;
Centre National de la Recherche Scientifique UMR7041 ( 441569 )
5
Archéologies environnementales
( 102298 )
- Maison René Ginouvès UMR 7041 21 allée de l'université F 92023 NANTERRE cedex
- France
Archéologies et Sciences de l'Antiquité ( 1003 )
;
Université Paris 1 Panthéon-Sorbonne UMR7041 ( 7550 )
;
Université Paris 8 Vincennes-Saint-Denis ( 11141 )
;
Université Paris Nanterre UMR7041 ( 116205 )
;
Ministère de la Culture et de la Communication UMR7041 ( 300125 )
;
Centre National de la Recherche Scientifique UMR7041 ( 441569 )
Public visé
Scientifique
Sous-type de document pour les Articles
Research article
Version du document
version éditeur
Audience
Internationale
Vulgarisation
Non
Comité de lecture
Oui
Nom de la revue
CATENA
(ISSN : 0341-8162)
Publié par Elsevier
Revue non référencée dans Sherpa-Romeo
Amélie Quiquerez, Emmanuel Chevigny, Pascal Allemand, Pierre Curmi, Petit Christophe, et al.. Assessing the impact of soil surface characteristics on vineyard erosion from very high spatial resolution aerial images (Côte de Beaune, France). CATENA, 2014, 116, pp.163-172. ⟨10.1016/j.catena.2013.12.002⟩. ⟨halshs-01134760⟩