Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data

Yuta Izumi; Joko Widodo; Husnul Kausarian; Sevket Demirci; Ayaka Takahashi; Josaphat Tetuko Sri Sumantyo; Motoyuki Sato

doi:10.1109/IGARSS.2018.8518189

Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data

Yuta Izumi, Joko Widodo, Husnul Kausarian, Sevket Demirci, Ayaka Takahashi, Josaphat Tetuko Sri Sumantyo, Motoyuki Sato

Department of Basic Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

In this paper, we attempt to develop the soil moisture retrieval method taking into account a wide variety of vegetation variations for the sparsely vegetated area. The method is constructed by introducing generalized volume scattering model into the polarimetric two-scale two-component model (PTSTCM). The proposed method was applied to L-band fully polarimetric ALOS-2 SAR datasets obtained over tropical peatland, Indonesia. The retrieved results were validated by simultaneously measured in-situ soil moisture. The proposed method yields more improved results than original PTSTCM with specific types of volume model (i.e., randomly, horizontally, and vertically oriented volume models) regarding the root-mean-square-error (RMSE) as well as inversion rate.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4619-4622
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8518189
Publication status	Published - 2018 Oct 31
Event	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duration: 2018 Jul 22 → 2018 Jul 27

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July

Conference

Conference	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	18/7/22 → 18/7/27

Keywords

Polarimetry
SAR
Soil moisture retrieval
Tropical peatland

ASJC Scopus subject areas

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

10.1109/IGARSS.2018.8518189

Cite this

Izumi, Y., Widodo, J., Kausarian, H., Demirci, S., Takahashi, A., Sumantyo, J. T. S., & Sato, M. (2018). Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 4619-4622). [8518189] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8518189

Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data. / Izumi, Yuta; Widodo, Joko; Kausarian, Husnul et al.

2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 4619-4622 8518189 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Izumi, Y, Widodo, J, Kausarian, H, Demirci, S, Takahashi, A, Sumantyo, JTS & Sato, M 2018, Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518189, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 4619-4622, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 18/7/22. https://doi.org/10.1109/IGARSS.2018.8518189

Izumi Y, Widodo J, Kausarian H, Demirci S, Takahashi A, Sumantyo JTS et al. Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4619-4622. 8518189. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2018.8518189

Izumi, Yuta ; Widodo, Joko ; Kausarian, Husnul et al. / Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4619-4622 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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abstract = "In this paper, we attempt to develop the soil moisture retrieval method taking into account a wide variety of vegetation variations for the sparsely vegetated area. The method is constructed by introducing generalized volume scattering model into the polarimetric two-scale two-component model (PTSTCM). The proposed method was applied to L-band fully polarimetric ALOS-2 SAR datasets obtained over tropical peatland, Indonesia. The retrieved results were validated by simultaneously measured in-situ soil moisture. The proposed method yields more improved results than original PTSTCM with specific types of volume model (i.e., randomly, horizontally, and vertically oriented volume models) regarding the root-mean-square-error (RMSE) as well as inversion rate.",

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AU - Takahashi, Ayaka

AU - Sumantyo, Josaphat Tetuko Sri

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AB - In this paper, we attempt to develop the soil moisture retrieval method taking into account a wide variety of vegetation variations for the sparsely vegetated area. The method is constructed by introducing generalized volume scattering model into the polarimetric two-scale two-component model (PTSTCM). The proposed method was applied to L-band fully polarimetric ALOS-2 SAR datasets obtained over tropical peatland, Indonesia. The retrieved results were validated by simultaneously measured in-situ soil moisture. The proposed method yields more improved results than original PTSTCM with specific types of volume model (i.e., randomly, horizontally, and vertically oriented volume models) regarding the root-mean-square-error (RMSE) as well as inversion rate.

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Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data

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