TY - GEN
T1 - Soil moisture retrieval by means of adaptive polarimetric two-scale two-component model with fully polarimetric ALOS-2 data
AU - Izumi, Yuta
AU - Widodo, Joko
AU - Kausarian, Husnul
AU - Demirci, Sevket
AU - Takahashi, Ayaka
AU - Sumantyo, Josaphat Tetuko Sri
AU - Sato, Motoyuki
N1 - Publisher Copyright:
© 2018 IEEE
PY - 2018/10/31
Y1 - 2018/10/31
N2 - 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.
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.
KW - Polarimetry
KW - SAR
KW - Soil moisture retrieval
KW - Tropical peatland
UR - https://www.scopus.com/pages/publications/85063164124
U2 - 10.1109/IGARSS.2018.8518189
DO - 10.1109/IGARSS.2018.8518189
M3 - 会議への寄与
AN - SCOPUS:85063164124
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4619
EP - 4622
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -