Volume XXXIX-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 423-428, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B5-423-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 423-428, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B5-423-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Jul 2012

30 Jul 2012

MULTIDIMENSIONAL ROUGHNESS CHARACTERIZATION FOR MICROWAVE REMOTE SENSING APPLICATIONS USING A SIMPLE PHOTOGRAMMETRIC ACQUISITION SYSTEM

P. Marzahn1, D. Rieke-Zap2, U. Wegmuller3, and R. Ludwig1 P. Marzahn et al.
  • 1Ludwig-Maximilians University of Munich Luisenstrasse 37, 80333 Munich, Germany
  • 2Institute of Geological Science University of Bern Baltzerstrasse 1+3, CH-3012 Bern, Schwitzerland
  • 3Gamma Remote Sensing Worbstr. 225, CH-3073 Guemlingen, Schwitzerland

Keywords: Soil Surface Roughness, Photogrammetry, SAR, Directional Scattering, Detrending, Statistics

Abstract. Soil surface roughness, as investigated in this study, is a critical parameter in microwave remote sensing. As soil surface roughness is treated as a stationary single scale isotropic process in most backscattering models, the overall objective of this study was to better understand the role of soil surface roughness in the context of backscattering. Therefore a simple photogrametric acquisition setup was developed for the characterization of soil surface roughness. In addition several suited SAR images of different sensors (ERS-2 and TerraSAR-X) were acquired to quantify the impact of soil surface roughness on the backscattered signal. Major progress achieved in this work includes the much improved characterization of in-field soil surface roughness. Good progress was also made in the understanding of backscattering from bare surface in the case of directional scattering.