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Gembloux Agro-Bio Tech (GxABT)
Gembloux Agro-Bio Tech (GxABT)
MASTER THESIS
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Travail de fin d'études: Characterization of the spatial distribution of deposition in a small agricultural catchment. Comparison of a modeling approach using WaTEM/SEDEM with remote-sensing techniques (difference of DEMs)

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Bonaventure, Noémie ULiège
Promotor(s) : Degré, Aurore ULiège ; Baert, Pierre ULiège
Date of defense : 19-Jun-2023 • Permalink : http://hdl.handle.net/2268.2/17713
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Title : Travail de fin d'études: Characterization of the spatial distribution of deposition in a small agricultural catchment. Comparison of a modeling approach using WaTEM/SEDEM with remote-sensing techniques (difference of DEMs)
Translated title : [fr] Caractérisation de la distribution spatiale de la déposition dans un petit bassin versant agricole. Comparaison du modèle WaTEM/SEDEM avec des techniques de télédétection (différence de MNA).
Author : Bonaventure, Noémie ULiège
Date of defense  : 19-Jun-2023
Advisor(s) : Degré, Aurore ULiège
Baert, Pierre ULiège
Committee's member(s) : Meersmans, Jeroen ULiège
Lejeune, Philippe ULiège
Charles, Catherine ULiège
Degré, Aurore ULiège
Baert, Pierre ULiège
Language : English
Number of pages : 75
Keywords : [en] soil erosion
[en] remote-sensing
[en] Digital Elevation Model
[en] WaTEM/SEDEM
Discipline(s) : Life sciences > Environmental sciences & ecology
Target public : Researchers
Professionals of domain
Student
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en bioingénieur : sciences et technologies de l'environnement, à finalité spécialisée
Faculty: Master thesis of the Gembloux Agro-Bio Tech (GxABT)

Abstract

[en] The new Common Agricultural Policy (CAP) has led to a new definition of the fields sensitivity to soil erosion. It revived the debates between scientists, farmers, and policy makers. Different methods and models exist to study erosion, but soil scientists point out a lack of data to study the spatial distribution of this phenomenon. This study focuses on an agricultural catchment of central Belgium in the Loess belt. We compared the model WaTEM/SEDEM (WS) enabling to model the spatial distribution of erosion and deposition at a catchment level to the difference of Digital Elevation Model (DEM) method. In this method, two DEMs, acquired at different periods, are subtracted from each other to spot the zones experiencing deposition (positive difference) and the eroded zones (negative difference). Different DEM data sources are exploited: Digital Terrain Model (DTM), Digital Surface Model (DSM), from Lidar and photogrammetry on a temporal scale of one decade. The results show that deposition modeled with WS is concentrated in the rills. The lidar DTMs, which seem the most reliable to study this phenomenon confirm this tendency, with a proportion of deposition 40% higher in the rills than in the inter-rills.
In parallel, we carried out a statistical analysis of the maps of DEM differences to identify the variables influencing the spatial distribution of erosion and deposition. Our results show that it is possible to predict the elevation differences based on a model including variables that involve topography, climate and agricultural practices.
Taking into account the uncertainty and the influence of vegetation, DTM and DSM show encouraging results in their usability to study erosion over one decade.


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  • Bonaventure, Noémie ULiège Université de Liège > Gembloux Agro-Bio Tech

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