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Improving soil moisture retrieval by incorporating a priori information for roughness and moisture parameters

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Abstract
In this paper we examine the influence of a priori information on the roughness characteristics of agricultural fields within the context of soil moisture retrieval using SAR. Laser profile data from several European in-situ measurement campaigns is put together and typical distributions for 3 tillage types - seedbed, harrowed and ploughed - determined. In a subsequent step the information content and the retrieval uncertainties before and after a priori roughness information has been introduced into the inversion procedure is determined using a Bayesian approach.
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SURFACE

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Chicago
Davidson, M, T Le Toan, F Mattia, G Satalino, Niko Verhoest, and M Borgeaud. 2001. “Improving Soil Moisture Retrieval by Incorporating a Priori Information for Roughness and Moisture Parameters.” In IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 1306–1308. New York, NY, USA: IEEE.
APA
Davidson, M., Le Toan, T., Mattia, F., Satalino, G., Verhoest, N., & Borgeaud, M. (2001). Improving soil moisture retrieval by incorporating a priori information for roughness and moisture parameters. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (pp. 1306–1308). Presented at the 2001 IEEE International Geoscience and Remote Sensing symposium, New York, NY, USA: IEEE.
Vancouver
1.
Davidson M, Le Toan T, Mattia F, Satalino G, Verhoest N, Borgeaud M. Improving soil moisture retrieval by incorporating a priori information for roughness and moisture parameters. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). New York, NY, USA: IEEE; 2001. p. 1306–8.
MLA
Davidson, M, T Le Toan, F Mattia, et al. “Improving Soil Moisture Retrieval by Incorporating a Priori Information for Roughness and Moisture Parameters.” IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). New York, NY, USA: IEEE, 2001. 1306–1308. Print.
@inproceedings{147299,
  abstract     = {In this paper we examine the influence of a priori information on the roughness characteristics of agricultural fields within the context of soil moisture retrieval using SAR. Laser profile data from several European in-situ measurement campaigns is put together and typical distributions for 3 tillage types - seedbed, harrowed and ploughed - determined. In a subsequent step the information content and the retrieval uncertainties before and after a priori roughness information has been introduced into the inversion procedure is determined using a Bayesian approach.},
  author       = {Davidson, M and Le Toan, T and Mattia, F and Satalino, G and Verhoest, Niko and Borgeaud, M},
  booktitle    = {IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)},
  isbn         = {9780780370319},
  keyword      = {SURFACE},
  language     = {eng},
  location     = {Sydney, NSW, Australia},
  pages        = {1306--1308},
  publisher    = {IEEE},
  title        = {Improving soil moisture retrieval by incorporating a priori information for roughness and moisture parameters},
  url          = {http://dx.doi.org/10.1109/IGARSS.2001.976827},
  year         = {2001},
}

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