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Determination of Hydrological Roughness by Means of Close Range Remote Sensing : Volume 1, Issue 2 (14/09/2015)

By Kaiser, A.

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Book Id: WPLBN0004023617
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Determination of Hydrological Roughness by Means of Close Range Remote Sensing : Volume 1, Issue 2 (14/09/2015)  
Author: Kaiser, A.
Volume: Vol. 1, Issue 2
Language: English
Subject: Science, Soil
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Neugirg, F., Schindewolf, M., Haas, F., Schmidt, J., Kaiser, A., & Becht, M. (2015). Determination of Hydrological Roughness by Means of Close Range Remote Sensing : Volume 1, Issue 2 (14/09/2015). Retrieved from http://members.worldlibrary.net/


Description
Description: Technical University Bergakademie Freiberg, Germany. The objective of the presented work was to develop a method to acquire Manning's n by creating very high-resolution surface models with structure-from-motion methods. As hydraulic roughness is an essential parameter for physically based erosion models, a practical measuring technique is valuable during field work. Data acquisition took place during several field experiments in the Lainbach valley, southern Germany, and on agricultural sites in Saxony, eastern Germany, and in central Brazil. Rill and interrill conditions were simulated by flow experiments. In order to validate our findings stream velocity was measured with colour tracers. Grain sizes were derived by measuring distances from a best fit line to the reconstructed soil surface. Several diameters from D50 to D90 were tested with D90 showing best correlation between tracer experiments and photogrammetrically acquired data. Several roughness parameters were tested (standard deviation, random roughness, Garbrecht's n and D90). Best agreement in between the grain size and the hydraulic roughness was achieved with a non-linear sigmoid function and D90 rather than with the Garbrecht equation or statistical parameters.

Summary
Determination of hydrological roughness by means of close range remote sensing

Excerpt
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