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

M Davidson, T Le Toan, F Mattia, G Satalino, Niko Verhoest UGent and M Borgeaud (2001) IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). p.1306-1308
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
SURFACE
in
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
issue title
IGARSS 2001 : scanning the present and resolving the future, vols 1-7, proceedings
pages
1306 - 1308
publisher
IEEE
place of publication
New York, NY, USA
conference name
2001 IEEE International Geoscience and Remote Sensing symposium
conference location
Sydney, NSW, Australia
conference start
2001-07-09
conference end
2001-07-13
Web of Science type
Proceedings Paper
Web of Science id
000177297200413
ISBN
9780780370319
DOI
10.1109/IGARSS.2001.976827
language
English
UGent publication?
yes
classification
P1
id
147299
handle
http://hdl.handle.net/1854/LU-147299
date created
2004-01-14 13:38:00
date last changed
2018-06-19 07:02:05
@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},
}

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.