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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)
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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.
Keywords
ERS SCATTEROMETER, SURFACE-ROUGHNESS, MULTI-INCIDENCE, MODE DATA, AMSR-E, SAR, BACKSCATTER, DERIVATION, RETRIEVAL, VALIDATION

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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 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.
@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},
  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},
}

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