Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry
The silty soils of the intensively used agricultural landscape of the Saxon loess province, eastern Germany, are very prone to soil erosion, mainly caused by water erosion. Rainfall simulations, and also increasingly structure-from-motion (SfM) photogrammetry, are used as methods in soil erosion res...
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doaj-0659bfc661bf41ffbc3d026f283e2b992020-11-25T00:03:45ZengMDPI AGHydrology2306-53382016-11-01343810.3390/hydrology3040038hydrology3040038Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM PhotogrammetryPhoebe Hänsel0Marcus Schindewolf1Anette Eltner2Andreas Kaiser3Jürgen Schmidt4Soil and Water Conservation Unit, Technische Universität Bergakademie Freiberg, Agricolastraße 22, 09599 Freiberg, GermanySoil and Water Conservation Unit, Technische Universität Bergakademie Freiberg, Agricolastraße 22, 09599 Freiberg, GermanyInstitute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Helmholtzstraße 10, 01069 Dresden, GermanySoil and Water Conservation Unit, Technische Universität Bergakademie Freiberg, Agricolastraße 22, 09599 Freiberg, GermanySoil and Water Conservation Unit, Technische Universität Bergakademie Freiberg, Agricolastraße 22, 09599 Freiberg, GermanyThe silty soils of the intensively used agricultural landscape of the Saxon loess province, eastern Germany, are very prone to soil erosion, mainly caused by water erosion. Rainfall simulations, and also increasingly structure-from-motion (SfM) photogrammetry, are used as methods in soil erosion research not only to assess soil erosion by water, but also to quantify soil loss. This study aims to validate SfM photogrammetry determined soil loss estimations with rainfall simulations measurements. Rainfall simulations were performed at three agricultural sites in central Saxony. Besides the measured data runoff and soil loss by sampling (in mm), terrestrial images were taken from the plots with digital cameras before and after the rainfall simulation. Subsequently, SfM photogrammetry was used to reconstruct soil surface changes due to soil erosion in terms of high resolution digital elevation models (DEMs) for the pre- and post-event (resolution 1 × 1 mm). By multi-temporal change detection, the digital elevation model of difference (DoD) and an averaged soil loss (in mm) is received, which was compared to the soil loss by sampling. Soil loss by DoD was higher than soil loss by sampling. The method of SfM photogrammetry-determined soil loss estimations also include a comparison of three different ground control point (GCP) approaches, revealing that the most complex one delivers the most reliable soil loss by DoD. Additionally, soil bulk density changes and splash erosion beyond the plot were measured during the rainfall simulation experiments in order to separate these processes and associated surface changes from the soil loss by DoD. Furthermore, splash was negligibly small, whereas higher soil densities after the rainfall simulations indicated soil compaction. By means of calculated soil surface changes due to soil compaction, the soil loss by DoD achieved approximately the same value as the soil loss by rainfall simulation.http://www.mdpi.com/2306-5338/3/4/38rainfall simulationsSfM photogrammetrysoil erosionsoil lossmulti-temporal change detectionsplash erosionsoil compactiontillageagricultural landscapes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Phoebe Hänsel Marcus Schindewolf Anette Eltner Andreas Kaiser Jürgen Schmidt |
spellingShingle |
Phoebe Hänsel Marcus Schindewolf Anette Eltner Andreas Kaiser Jürgen Schmidt Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry Hydrology rainfall simulations SfM photogrammetry soil erosion soil loss multi-temporal change detection splash erosion soil compaction tillage agricultural landscapes |
author_facet |
Phoebe Hänsel Marcus Schindewolf Anette Eltner Andreas Kaiser Jürgen Schmidt |
author_sort |
Phoebe Hänsel |
title |
Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry |
title_short |
Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry |
title_full |
Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry |
title_fullStr |
Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry |
title_full_unstemmed |
Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry |
title_sort |
feasibility of high-resolution soil erosion measurements by means of rainfall simulations and sfm photogrammetry |
publisher |
MDPI AG |
series |
Hydrology |
issn |
2306-5338 |
publishDate |
2016-11-01 |
description |
The silty soils of the intensively used agricultural landscape of the Saxon loess province, eastern Germany, are very prone to soil erosion, mainly caused by water erosion. Rainfall simulations, and also increasingly structure-from-motion (SfM) photogrammetry, are used as methods in soil erosion research not only to assess soil erosion by water, but also to quantify soil loss. This study aims to validate SfM photogrammetry determined soil loss estimations with rainfall simulations measurements. Rainfall simulations were performed at three agricultural sites in central Saxony. Besides the measured data runoff and soil loss by sampling (in mm), terrestrial images were taken from the plots with digital cameras before and after the rainfall simulation. Subsequently, SfM photogrammetry was used to reconstruct soil surface changes due to soil erosion in terms of high resolution digital elevation models (DEMs) for the pre- and post-event (resolution 1 × 1 mm). By multi-temporal change detection, the digital elevation model of difference (DoD) and an averaged soil loss (in mm) is received, which was compared to the soil loss by sampling. Soil loss by DoD was higher than soil loss by sampling. The method of SfM photogrammetry-determined soil loss estimations also include a comparison of three different ground control point (GCP) approaches, revealing that the most complex one delivers the most reliable soil loss by DoD. Additionally, soil bulk density changes and splash erosion beyond the plot were measured during the rainfall simulation experiments in order to separate these processes and associated surface changes from the soil loss by DoD. Furthermore, splash was negligibly small, whereas higher soil densities after the rainfall simulations indicated soil compaction. By means of calculated soil surface changes due to soil compaction, the soil loss by DoD achieved approximately the same value as the soil loss by rainfall simulation. |
topic |
rainfall simulations SfM photogrammetry soil erosion soil loss multi-temporal change detection splash erosion soil compaction tillage agricultural landscapes |
url |
http://www.mdpi.com/2306-5338/3/4/38 |
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