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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Main Authors: Phoebe Hänsel, Marcus Schindewolf, Anette Eltner, Andreas Kaiser, Jürgen Schmidt
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Hydrology
Subjects:
Online Access:http://www.mdpi.com/2306-5338/3/4/38
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spelling 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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AT anetteeltner feasibilityofhighresolutionsoilerosionmeasurementsbymeansofrainfallsimulationsandsfmphotogrammetry
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