Moisture & roughness estimation algorithm over permafrost area

Manabu Watanabe; Keiji Kushida; Koichiro Harada; Masami Fukuda; Motoyuki Sato

doi:10.1109/IGARSS.2011.6049773

Moisture & roughness estimation algorithm over permafrost area

Manabu Watanabe, Keiji Kushida, Koichiro Harada, Masami Fukuda, Motoyuki Sato

Department of Basic Studies

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

1 Citation (Scopus)

Abstract

We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization data observed in summer is used to estimate the moisture level of the active layer of the permafrost. The moisture levels estimated from PALSAR data moderately matched with those of validation data taken in the field, while the surface roughness value shows some difference. The possible cause of this difference is that the surface roughness derived from the field data collection represents the roughness of the top of the sphagnum moss layer covered on the active layer of the permafrost, while the one estimated from PALSAR represents the roughness of the underlying active layer of the permafrost.

Original language	English
Title of host publication	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages	2598-2601
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2011.6049773
Publication status	Published - 2011
Event	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada Duration: 2011 Jul 24 → 2011 Jul 29

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country	Canada
City	Vancouver, BC
Period	11/7/24 → 11/7/29

Keywords

PALSAR
full polarimetry
global warming

ASJC Scopus subject areas

Computer Science Applications
Earth and Planetary Sciences(all)

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Moisture & roughness estimation algorithm over permafrost area. / Watanabe, Manabu; Kushida, Keiji; Harada, Koichiro; Fukuda, Masami; Sato, Motoyuki.

2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings. 2011. p. 2598-2601 6049773 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

Watanabe, M, Kushida, K, Harada, K, Fukuda, M & Sato, M 2011, Moisture & roughness estimation algorithm over permafrost area. in 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings., 6049773, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2598-2601, 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, 11/7/24. https://doi.org/10.1109/IGARSS.2011.6049773

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abstract = "We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization data observed in summer is used to estimate the moisture level of the active layer of the permafrost. The moisture levels estimated from PALSAR data moderately matched with those of validation data taken in the field, while the surface roughness value shows some difference. The possible cause of this difference is that the surface roughness derived from the field data collection represents the roughness of the top of the sphagnum moss layer covered on the active layer of the permafrost, while the one estimated from PALSAR represents the roughness of the underlying active layer of the permafrost.",

keywords = "PALSAR, full polarimetry, global warming",

author = "Manabu Watanabe and Keiji Kushida and Koichiro Harada and Masami Fukuda and Motoyuki Sato",

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AU - Sato, Motoyuki

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N2 - We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization data observed in summer is used to estimate the moisture level of the active layer of the permafrost. The moisture levels estimated from PALSAR data moderately matched with those of validation data taken in the field, while the surface roughness value shows some difference. The possible cause of this difference is that the surface roughness derived from the field data collection represents the roughness of the top of the sphagnum moss layer covered on the active layer of the permafrost, while the one estimated from PALSAR represents the roughness of the underlying active layer of the permafrost.

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KW - full polarimetry

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