• Aucun résultat trouvé

Image analysis of soil thin sections to predict the evolution of a constructed Technosol’s structure: quantification of descriptors of porosity and aggregation.

N/A
N/A
Protected

Academic year: 2021

Partager "Image analysis of soil thin sections to predict the evolution of a constructed Technosol’s structure: quantification of descriptors of porosity and aggregation."

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-02744551

https://hal.inrae.fr/hal-02744551

Submitted on 3 Jun 2020

HAL is a multi-disciplinary open access

archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Image analysis of soil thin sections to predict the

evolution of a constructed Technosol’s structure:

quantification of descriptors of porosity and aggregation.

Nouhou-Salifou Jangorzo, Geoffroy Séré, Françoise Watteau, Virginie Casel,

Jérôme Cortet, Christophe Schwartz

To cite this version:

Nouhou-Salifou Jangorzo, Geoffroy Séré, Françoise Watteau, Virginie Casel, Jérôme Cortet, et al.. Image analysis of soil thin sections to predict the evolution of a constructed Technosol’s structure: quantification of descriptors of porosity and aggregation.. “Soil micromorphology: a journey from soils genesis to new interdisciplinary advancements”. Eurosoil, Jul 2012, Bari, Italy. 2012. �hal-02744551�

(2)

Image  analysis  of  soil  thin  sections  to  predict  the  evolution  of  a  constructed  

Technosol’s  structure:    quantification  of  descriptors  of  porosity  and  

aggregation.  

 

Nouhou  Salifou  Jangorzo,  Geoffroy  Séré,  Françoise  Watteau,  Virginie  Casel,     Jérôme  Cortet,  Christophe  Schwartz    

 

Laboratoire  Sols  et  Environnement,  UMR  1120  INPL/INRA.  2  Avenue  de  la  Forêt  de  Haye  BP  172,  F-­‐54505   Vandœuvre-­‐lès-­‐Nancy,  France,  E-­‐mail:  nouhou.salifou@ensaia.inpl-­‐nancy.fr    

 

Soil   structure,   through   the   architecture   of   pores   and   aggregates   influences   water   infiltration   and   retention.   Furthermore,   changes   in   the   geometric   structure   of   pores   and   aggregates   are   reported   to   have   relation   with   physical   degradation   of   cultivated   soils.   In   most  of  cases,  these  parameters  are  described  qualitatively  and  synchronically  which  didn’t   make  it  possible  to  evaluate  the  evolution  of  soil  structure  with  accuracy.  Many  parameters   concerning   soil   structure   are   determined   micro-­‐morphologically   or   computably   aid,   some   qualitative   and   others   quantitative,   but   few   works   are   carried   out   to   dictate   which   are   quantitatively  better  to  describe  the  evolution  of  soil  structure.  

The  aim  of  this  work  was  to  develop  a  quantitative  computer  aided  method  to  study   the  evolution  of  constructed  Technosol  structure.  For  this  achievement,  an  in  situ  1  hectare   plot  of  constructed  Technosol  was  set  up  in  2007  on  the  experimental  station  of  the  French   Scientific   Interest   Group.   This   station   was   divided   in   24   plots.   Undisturbed   samples   were   collected  in  Kubiena  boxes  in  2008  and  2010  in  each  plot  for  thin  section  preparation.  Soil   structures  (pores  and  aggregates  with  diameter  >  25  µm)  were  quantified  by  analyzing  thin   sections   images.   Pores   and   aggregates   were   classified   according   to   their   diameter   (four   classes:   diameter   >   2000µm,   500-­‐2000µm;   50-­‐500µm;   25-­‐50µm).   Eight   descriptors   were   calculated:  number,  area,  Crofton  Perimeter,  distance,  volume,  eccentricity,  connectivity  and   diameter.  

We  will  discuss  the  parameters  which  better  describe  the  evolution  of  porosity  and   aggregation   between   2008   and   2010   and   the   consequences   of   this   evolution   on   the   functioning  of  this  new  constructed  Technosol.    

Références

Documents relatifs

Those aggregates are more or less stable, and their stability depended heavily on the type of the organic matter selected for mixtures high stability with green wastes and low

2014 In order to study the hydrodynamic shear rate and concentration effects on the kinetics of aggregation, we have performed experiments with a monolayer of

Keywords: GNSS-R, Remote sensing, Signal-to-Noise Ratio, SNR, Altimetry, Soil moisture, Unwrapping phase, Water cycle, Flood, Climate change, Reflected signals, Multipaths, GNSS,

The length of each conduit is approached by mul- tiplying the distance between its start and its end by the mean tortuosity of the Milandre cave system, 1.67, calculated by Mar´echal

Web scale image retrieval using compact tensor aggregation of visual descriptors... Web scale image retrieval using compact tensor aggregation of

Image analysis of soil monoliths enabled quantification of the changes in the relative abundance of soil volumes and thus of the effects on the evolution of such soil due to human

Dans un tel climat de campagne électorale permanente, les forces de développement sont souvent mises en veilleuse ; la rationalité politique l’emporte sur la

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des