The use of SfM-photogrammetry to quantify and understand gully degradation at the temporal scale of rainfall events: an example from the Ethiopian drylands |
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| Authors: | Wouter Lannoeye Cornelis Stal Etefa Guyassa Amanuel Zenebe Jan Nyssen Amaury Frankl |
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| Institution: | 1. Department of Geography, Ghent University, Gent, Belgiumamaury.frankl@ugent.be;3. Department of Geography, Ghent University, Gent, Belgium;4. Department of Land Resource Management and Environmental Protection, Mekelle University, Mekelle, Ethiopia;5. Department of Land Resource Management and Environmental Protection, Mekelle University, Mekelle, Ethiopia;6. Research Fund – Flanders (FWO), Brussels, Belgium |
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| Abstract: | AbstractWith the recent technological advances offered by SfM-photogrammetry, we now have the possibility to study gully erosion at very high spatial and temporal scales from multi-temporal DEMs, and thus to enhance our understanding of both gully erosion processes and controls. Here, we examine gully degradation and aggradation at a gully headcut and at four re-incisions along a gully reach in Northern Ethiopia. Environmental controls recorded are topography rainfall, runoff, land use and cover, land management, and soil characteristics. The overall vulnerability of the catchment to erosion is low as calculated from the RUSLE (average 11.83 t ha?1 y?1). This reflects the successful land management of the past years. The runoff coefficient was on average 7.3% (maximum 18.2%). Runoff events caused most geomorphic change in the gully, but slumping of the gully bank also occurred on dry days. Most geomorphic change was caused by one major rainfall event of 54.8 mm d?1, and smaller runoff events caused both degradation and aggradation, often asynchronous between studied sites. Although most research focuses on gully heads alone, re-incisions at lower locations can still cause important gully degradation, which ultimately will reach the gully head and cause instability. |
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| Keywords: | Digital elevation model (DEM) gully head cut multi-temporal PhotoScan revised universal soil loss equation volume |
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