Ghent University Academic Bibliography

Advanced

Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series

Jasper Van doninck UGent, Jan Peters UGent, Hans Lievens UGent, Bernard De Baets UGent and Niko Verhoest UGent (2012) HYDROLOGY AND EARTH SYSTEM SCIENCES. 16(3). p.773-786
abstract
A change detection algorithm is applied on a three year time series of ASAR Wide Swath images in VV polarization over Calabria, Italy, in order to derive information on temporal soil moisture dynamics. The algorithm, adapted from an algorithm originally developed for ERS scatterometer, was validated using a simple hydrological model incorporating meteorological and pedological data. Strong positive correlations between modelled soil moisture and ASAR soil moisture were observed over arable land, while the correlation became much weaker over more vegetated areas. In a second phase, an attempt was made to incorporate seasonality in the different model parameters. It was observed that seasonally changing surface properties mainly affected the multitemporal incidence angle normalization. When applying a seasonal angular normalization, correlation coefficients between modelled soil moisture and retrieved soil moisture increased overall. Attempts to account for seasonality in the other model parameters did not result in an improved performance.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
ERS SCATTEROMETER, SURFACE-ROUGHNESS, MULTI-INCIDENCE, MODE DATA, AMSR-E, SAR, BACKSCATTER, DERIVATION, RETRIEVAL, VALIDATION
journal title
HYDROLOGY AND EARTH SYSTEM SCIENCES
Hydrol. Earth Syst. Sci.
volume
16
issue
3
pages
773 - 786
Web of Science type
Article
Web of Science id
000302176600010
JCR category
WATER RESOURCES
JCR impact factor
3.587 (2012)
JCR rank
2/80 (2012)
JCR quartile
1 (2012)
ISSN
1027-5606
DOI
10.5194/hess-16-773-2012
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
2068335
handle
http://hdl.handle.net/1854/LU-2068335
date created
2012-03-19 09:29:42
date last changed
2012-09-28 13:15:11
@article{2068335,
  abstract     = {A change detection algorithm is applied on a three year time series of ASAR Wide Swath images in VV polarization over Calabria, Italy, in order to derive information on temporal soil moisture dynamics. The algorithm, adapted from an algorithm originally developed for ERS scatterometer, was validated using a simple hydrological model incorporating meteorological and pedological data. Strong positive correlations between modelled soil moisture and ASAR soil moisture were observed over arable land, while the correlation
became much weaker over more vegetated areas. In a second phase, an attempt was made to incorporate seasonality in the different model parameters. It was observed that seasonally changing surface properties mainly affected the multitemporal incidence angle normalization. When applying a seasonal angular normalization, correlation coefficients between modelled soil moisture and retrieved soil moisture increased overall. Attempts to account for seasonality in the other model parameters did not result in an improved performance.},
  author       = {Van doninck, Jasper and Peters, Jan and Lievens, Hans and De Baets, Bernard and Verhoest, Niko},
  issn         = {1027-5606},
  journal      = {HYDROLOGY AND EARTH SYSTEM SCIENCES},
  keyword      = {ERS SCATTEROMETER,SURFACE-ROUGHNESS,MULTI-INCIDENCE,MODE DATA,AMSR-E,SAR,BACKSCATTER,DERIVATION,RETRIEVAL,VALIDATION},
  language     = {eng},
  number       = {3},
  pages        = {773--786},
  title        = {Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series},
  url          = {http://dx.doi.org/10.5194/hess-16-773-2012},
  volume       = {16},
  year         = {2012},
}

Chicago
Van doninckJasper, Jan Peters, Hans Lievens, Bernard De Baets, and Niko Verhoest. 2012. “Accounting for Seasonality in a Soil Moisture Change Detection Algorithm for ASAR Wide Swath Time Series.” Hydrology and Earth System Sciences 16 (3): 773–786.
APA
Van doninckJasper, Peters, J., Lievens, H., De Baets, B., & Verhoest, N. (2012). Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series. HYDROLOGY AND EARTH SYSTEM SCIENCES, 16(3), 773–786.
Vancouver
1.
Van doninckJasper, Peters J, Lievens H, De Baets B, Verhoest N. Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2012;16(3):773–86.
MLA
Van doninckJasper, Jan Peters, Hans Lievens, et al. “Accounting for Seasonality in a Soil Moisture Change Detection Algorithm for ASAR Wide Swath Time Series.” HYDROLOGY AND EARTH SYSTEM SCIENCES 16.3 (2012): 773–786. Print.