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Bi-dimensional soil roughness measurement by photogrammetry for SAR modeling of agricultural surfaces

X Blaes, P Defourny, M Callens and Niko Verhoest UGent (2004) IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). In IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) p.4038-4041
abstract
In the description of soil roughness for SAR monitoring, the hypothesis of surface isotropy was currently admitted and in-situ roughness measurements were recorded along linear profiles. However, this paper showed for agricultural soil surfaces this hypothesis is not valid and anisotropic surface must be assumed. Stereoscopic pairs of vertical photographs were acquired to produce Digital Elevation Models (DEM) for the soil roughness description. This paper presents a measurements method to describe the bi-dimensional soil roughness and discuss 3 advantages of the photogrammetric method compared to the linear measurements. (i) A high variability of the roughness parameters estimated by linear profiles m as observed. Using the DEM, a high number of profiles were drawn for a given direction. A more accurate estimation of rms and correlation length was obtained averaging several profiles. (ii) The anisotropy were measured and represented by it directional variograms. (iii) The anisotropic roughness were decomposed in 2 models: the isotropic random roughness and the anisotropy induced by, the sowing-rows.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
soil roughness, BACKSCATTERING, anisoptropy photogrammetry
in
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
series title
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
issue title
IGARSS 2004 : IEEE international geoscience and remote sensing symposium proceedings, vols 1-7 : science for society : exploring and managing a changing planet
pages
4038 - 4041
publisher
IEEE
place of publication
New York, NY, USA
conference name
IEEE International Geoscience and Remote Sensing Symposium
conference location
Anchorage, AK, USA
conference start
2004-09-20
conference end
2004-09-24
Web of Science type
Proceedings Paper
Web of Science id
000227006901065
ISBN
9780780387423
language
English
UGent publication?
yes
classification
P1
id
2036882
handle
http://hdl.handle.net/1854/LU-2036882
date created
2012-02-17 11:40:01
date last changed
2012-03-28 16:19:06
@inproceedings{2036882,
  abstract     = {In the description of soil roughness for SAR monitoring, the hypothesis of surface isotropy was currently admitted and in-situ roughness measurements were recorded along linear profiles. However, this paper showed for agricultural soil surfaces this hypothesis is not valid and anisotropic surface must be assumed. Stereoscopic pairs of vertical photographs were acquired to produce Digital Elevation Models (DEM) for the soil roughness description. This paper presents a measurements method to describe the bi-dimensional soil roughness and discuss 3 advantages of the photogrammetric method compared to the linear measurements. (i) A high variability of the roughness parameters estimated by linear profiles m as observed. Using the DEM, a high number of profiles were drawn for a given direction. A more accurate estimation of rms and correlation length was obtained averaging several profiles. (ii) The anisotropy were measured and represented by it directional variograms. (iii) The anisotropic roughness were decomposed in 2 models: the isotropic random roughness and the anisotropy induced by, the sowing-rows.},
  author       = {Blaes, X and Defourny, P and Callens, M and Verhoest, Niko},
  booktitle    = {IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)},
  isbn         = {9780780387423},
  keyword      = {soil roughness,BACKSCATTERING,anisoptropy photogrammetry},
  language     = {eng},
  location     = {Anchorage, AK, USA},
  pages        = {4038--4041},
  publisher    = {IEEE},
  title        = {Bi-dimensional soil roughness measurement by photogrammetry for SAR modeling of agricultural surfaces},
  year         = {2004},
}

Chicago
Blaes, X, P Defourny, M Callens, and Niko Verhoest. 2004. “Bi-dimensional Soil Roughness Measurement by Photogrammetry for SAR Modeling of Agricultural Surfaces.” In IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 4038–4041. New York, NY, USA: IEEE.
APA
Blaes, X., Defourny, P., Callens, M., & Verhoest, N. (2004). Bi-dimensional soil roughness measurement by photogrammetry for SAR modeling of agricultural surfaces. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (pp. 4038–4041). Presented at the IEEE International Geoscience and Remote Sensing Symposium, New York, NY, USA: IEEE.
Vancouver
1.
Blaes X, Defourny P, Callens M, Verhoest N. Bi-dimensional soil roughness measurement by photogrammetry for SAR modeling of agricultural surfaces. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). New York, NY, USA: IEEE; 2004. p. 4038–41.
MLA
Blaes, X, P Defourny, M Callens, et al. “Bi-dimensional Soil Roughness Measurement by Photogrammetry for SAR Modeling of Agricultural Surfaces.” IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). New York, NY, USA: IEEE, 2004. 4038–4041. Print.