Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations

Rogier van der Velde; Tom Rientjes; Yao-ming Ma; Yizhou Zhao; Bob Su

doi:10.1109/MULTITEMP.2007.4293031

Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations

Rogier van der Velde, Tom Rientjes, Yao-ming Ma, Yizhou Zhao, Bob Su

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

In this paper, Synthetic Aperture Radar (SAR) based soil moisture retrieval results are presented using observations acquired over the Tibetan Plateau. Two different time series based methods are used for the retrieval of soil moisture. With method I, soil moisture is retrieved through scaling of the backscatter (σ o ) observations between the maximum and minimum observed σ o at a specific location. For method II, soil moisture is retrieved using the integral equation method (IEM, Fung et al. 1992), for which a site-specific effective surface roughness parameterization is obtained through model inversion using minimum observed σ o . The retrievals are validated against ground measurements and showed that using Method I and Method II soil moisture can be estimated with accuracies up to 0.056 and 0.035 cm 3 cm -3 , respectively.

Original language	English
Title of host publication	4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007)
Editors	G.J.M. De Lannoy
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	1-4244-0846-6
ISBN (Print)	1-4244-0846-6
DOIs	https://doi.org/10.1109/MULTITEMP.2007.4293031
Publication status	Published - 2007
Event	4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007 - Leuven, Belgium Duration: 18 Jul 2007 → 20 Jul 2007 Conference number: 4

Workshop

Workshop	4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007
Abbreviated title	MultiTemp
Country/Territory	Belgium
City	Leuven
Period	18/07/07 → 20/07/07

Keywords

ADLIB-ART-1436
WRS

Access to Document

10.1109/MULTITEMP.2007.4293031

Cite this

van der Velde, R., Rientjes, T., Ma, Y., Zhao, Y., & Su, B. (2007). Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations. In G. J. M. De Lannoy (Ed.), 4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007) IEEE. https://doi.org/10.1109/MULTITEMP.2007.4293031

@inproceedings{8d107179dd1a46a7a9843e0ee10d6345,

title = "Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations",

abstract = "In this paper, Synthetic Aperture Radar (SAR) based soil moisture retrieval results are presented using observations acquired over the Tibetan Plateau. Two different time series based methods are used for the retrieval of soil moisture. With method I, soil moisture is retrieved through scaling of the backscatter (σ o ) observations between the maximum and minimum observed σ o at a specific location. For method II, soil moisture is retrieved using the integral equation method (IEM, Fung et al. 1992), for which a site-specific effective surface roughness parameterization is obtained through model inversion using minimum observed σ o . The retrievals are validated against ground measurements and showed that using Method I and Method II soil moisture can be estimated with accuracies up to 0.056 and 0.035 cm 3 cm -3 , respectively.",

keywords = "ADLIB-ART-1436, WRS",

author = "{van der Velde}, Rogier and Tom Rientjes and Yao-ming Ma and Yizhou Zhao and Bob Su",

year = "2007",

doi = "10.1109/MULTITEMP.2007.4293031",

language = "English",

isbn = "1-4244-0846-6",

editor = "{De Lannoy}, G.J.M.",

booktitle = "4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007)",

publisher = "IEEE",

address = "United States",

note = "4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007, MultiTemp ; Conference date: 18-07-2007 Through 20-07-2007",

}

van der Velde, R , Rientjes, T, Ma, Y, Zhao, Y & Su, B 2007, Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations. in GJM De Lannoy (ed.), 4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007). IEEE, Piscataway, NJ, 4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007, Leuven, Belgium, 18/07/07. https://doi.org/10.1109/MULTITEMP.2007.4293031

Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations. / van der Velde, Rogier ; Rientjes, Tom; Ma, Yao-ming et al.
4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007). ed. / G.J.M. De Lannoy. Piscataway, NJ: IEEE, 2007.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations

AU - van der Velde, Rogier

AU - Rientjes, Tom

AU - Ma, Yao-ming

AU - Zhao, Yizhou

AU - Su, Bob

N1 - Conference code: 4

PY - 2007

Y1 - 2007

N2 - In this paper, Synthetic Aperture Radar (SAR) based soil moisture retrieval results are presented using observations acquired over the Tibetan Plateau. Two different time series based methods are used for the retrieval of soil moisture. With method I, soil moisture is retrieved through scaling of the backscatter (σ o ) observations between the maximum and minimum observed σ o at a specific location. For method II, soil moisture is retrieved using the integral equation method (IEM, Fung et al. 1992), for which a site-specific effective surface roughness parameterization is obtained through model inversion using minimum observed σ o . The retrievals are validated against ground measurements and showed that using Method I and Method II soil moisture can be estimated with accuracies up to 0.056 and 0.035 cm 3 cm -3 , respectively.

AB - In this paper, Synthetic Aperture Radar (SAR) based soil moisture retrieval results are presented using observations acquired over the Tibetan Plateau. Two different time series based methods are used for the retrieval of soil moisture. With method I, soil moisture is retrieved through scaling of the backscatter (σ o ) observations between the maximum and minimum observed σ o at a specific location. For method II, soil moisture is retrieved using the integral equation method (IEM, Fung et al. 1992), for which a site-specific effective surface roughness parameterization is obtained through model inversion using minimum observed σ o . The retrievals are validated against ground measurements and showed that using Method I and Method II soil moisture can be estimated with accuracies up to 0.056 and 0.035 cm 3 cm -3 , respectively.

KW - ADLIB-ART-1436

KW - WRS

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DO - 10.1109/MULTITEMP.2007.4293031

M3 - Conference contribution

SN - 1-4244-0846-6

BT - 4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp 2007)

A2 - De Lannoy, G.J.M.

PB - IEEE

CY - Piscataway, NJ

T2 - 4th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007

Y2 - 18 July 2007 through 20 July 2007

ER -

Characterization of the temporal and spatial variability of soil moisture through multi - temporal Analysis of ASAR Observations

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Keywords

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