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RADARSAT based surface soil moisture retrieval on agricultural catchments of Navarre (Spain)

J Alvarez, Niko Verhoest UGent, J Casali, M Gonzalez-Audicana and JJ Lopez (2004) IEEE International Symposium on Geoscience and Remote Sensing IGARSS. In IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) p.3507-3510
abstract
The present paper, reports the first results of an ongoing research whose main objective is the development of a simple methodology for initialising., and updating the soil moisture component of distributed hydrological models using SAR data. Five RADARSAT-1 images acquired between 27/02/2003 and 02/04/2003 over the Navarre region (Northern Spain) have been processed. Soil moisture, surface roughness and crop parameters have been monitored coinciding with image acquisition dates over La Tejeria experimental watershed (Navarre). Calculated backscattering values have been compared to soil moisture and surface roughness ground measurements fitting empirical linear regression models. In the case of vegetated fields a semi-empirical Water Cloud model has been applied to account for vegetation effects on the observed backscattering values. Acceptable correlation has been observed between calculated backscattering values and ground measured soil moisture at field and watershed scale, although variability was high between fields belonging to the same vegetation and roughness classes. The physically based Integral Equation Method (IEM) model has been applied seeking for a more consistent approach. IEM reflected observed backscattering trends. However, dispersion was high probably due to an inadequate characterisation of surface roughness variability.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
BARE SOIL
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
3507 - 3510
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
000227006900922
ISBN
9780780387423
DOI
10.1109/IGARSS.2004.1370465
language
English
UGent publication?
yes
classification
P1
id
2036876
handle
http://hdl.handle.net/1854/LU-2036876
date created
2012-02-17 11:40:01
date last changed
2012-03-07 11:47:26
@inproceedings{2036876,
  abstract     = {The present paper, reports the first results of an ongoing research whose main objective is the development of a simple methodology for initialising., and updating the soil moisture component of distributed hydrological models using SAR data. 
Five RADARSAT-1 images acquired between 27/02/2003 and 02/04/2003 over the Navarre region (Northern Spain) have been processed. Soil moisture, surface roughness and crop parameters have been monitored coinciding with image acquisition dates over La Tejeria experimental watershed (Navarre). Calculated backscattering values have been compared to soil moisture and surface roughness ground measurements fitting empirical linear regression models. In the case of vegetated fields a semi-empirical Water Cloud model has been applied to account for vegetation effects on the observed backscattering values. Acceptable correlation has been observed between calculated backscattering values and ground measured soil moisture at field and watershed scale, although variability was high between fields belonging to the same vegetation and roughness classes. 
The physically based Integral Equation Method (IEM) model has been applied seeking for a more consistent approach. IEM reflected observed backscattering trends. However, dispersion was high probably due to an inadequate characterisation of surface roughness variability.},
  author       = {Alvarez, J and Verhoest, Niko and Casali, J and Gonzalez-Audicana, M and Lopez, JJ},
  booktitle    = {IEEE International Symposium on Geoscience and Remote Sensing IGARSS},
  isbn         = {9780780387423},
  keyword      = {BARE SOIL},
  language     = {eng},
  location     = {Anchorage, AK, USA},
  pages        = {3507--3510},
  publisher    = {IEEE},
  title        = {RADARSAT based surface soil moisture retrieval on agricultural catchments of Navarre (Spain)},
  url          = {http://dx.doi.org/10.1109/IGARSS.2004.1370465},
  year         = {2004},
}

Chicago
Alvarez, J, Niko Verhoest, J Casali, M Gonzalez-Audicana, and JJ Lopez. 2004. “RADARSAT Based Surface Soil Moisture Retrieval on Agricultural Catchments of Navarre (Spain).” In IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 3507–3510. New York, NY, USA: IEEE.
APA
Alvarez, J., Verhoest, N., Casali, J., Gonzalez-Audicana, M., & Lopez, J. (2004). RADARSAT based surface soil moisture retrieval on agricultural catchments of Navarre (Spain). IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 3507–3510). Presented at the IEEE International Geoscience and Remote Sensing Symposium, New York, NY, USA: IEEE.
Vancouver
1.
Alvarez J, Verhoest N, Casali J, Gonzalez-Audicana M, Lopez J. RADARSAT based surface soil moisture retrieval on agricultural catchments of Navarre (Spain). IEEE International Symposium on Geoscience and Remote Sensing IGARSS. New York, NY, USA: IEEE; 2004. p. 3507–10.
MLA
Alvarez, J, Niko Verhoest, J Casali, et al. “RADARSAT Based Surface Soil Moisture Retrieval on Agricultural Catchments of Navarre (Spain).” IEEE International Symposium on Geoscience and Remote Sensing IGARSS. New York, NY, USA: IEEE, 2004. 3507–3510. Print.