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Remote Sens. 2012, 4(7), 2016-2032; doi:10.3390/rs4072016
Article

Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications

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Received: 15 May 2012; in revised form: 28 June 2012 / Accepted: 30 June 2012 / Published: 6 July 2012
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Abstract: Soil surface roughness, as investigated in this study, is decomposed in a dual scale process. Therefore, we investigated photogrammetrically acquired roughness information over different agricultural fields in the size of 6–22 m2 and decomposed them into a dual scale process by using geostatistical techniques. For the characterization of soil surface roughness, we calculated two different roughness indices (the RMS height s and the autocorrelation length l) differing significantly for each scale. While we could relate the small scale roughness pattern clearly to the seedbed rows, the larger second scale pattern could be related to the appearance of wheel tracks of the tillage machine used. As a result, major progress was made in the understanding of the different scales in soil surface roughness characterization and its quantification possibilities.
Keywords: soil surface roughness; photogrammetry; SAR; synthetic aperture radar; detrending; RMS height; autocorrelation soil surface roughness; photogrammetry; SAR; synthetic aperture radar; detrending; RMS height; autocorrelation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Marzahn, P.; Seidel, M.; Ludwig, R. Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications. Remote Sens. 2012, 4, 2016-2032.

AMA Style

Marzahn P, Seidel M, Ludwig R. Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications. Remote Sensing. 2012; 4(7):2016-2032.

Chicago/Turabian Style

Marzahn, Philip; Seidel, Moritz; Ludwig, Ralf. 2012. "Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications." Remote Sens. 4, no. 7: 2016-2032.


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