Observation of sea-ice thickness in the sea of Okhotsk by using dual-frequency and fully polarimetric airborne SAR (pi-SAR) data

Nakamura, Kazuki; Wakabayashi, Hiroyuki; Kinoshita, Naoki; Nishio, Fumihiko; Moriyama, Toshifumi; Uratsuka, Seiho

doi:10.1109/tgrs.2005.853928

Cited by 60 publications

(36 citation statements)

References 15 publications

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“…For relatively thin undeformed ice (less than 1 m), Nakamura et al (2005) showed from a similar experiment in 2004 that ice thickness has a much better correlation with the VV-HH backscattering ratio than with the backscattering coefficient, contrasting to our result. This indicates that surface dielectric properties are more sensitive to ice thickness for relatively thin ice.…”

Section: Summary and Discussioncontrasting

confidence: 99%

“…They showed, using airborne SAR data in the coastal region of Hokkaido, that the L-band SAR backscattering profiles had a good correlation with IPS ice-draft, particularly in the thicker regions, although the comparison was indirect in their case. Conversely, the backscattering ratio defined by VV-HH (dB), which reduces the effect of roughness on backscattering and strengthens the dielectric effect (Nakamura et al 2005), has lower correlation with ice thickness (c.c. = -0.77) than either VV or HH ( figure 8(d)).…”

Section: Resultsmentioning

confidence: 99%

“…Taking this opportunity, we conducted ship-based measurements of ice thickness and surface roughness in this region with the patrol vessel P/V Soya, coordinated with the airborne Pi-SAR observations. Although the relationship between ice thickness and L-band SAR backscatter data has been studied by several researchers (e.g., Nakamura et al 2005;Kern et al 2006), most concentrate on relatively thin ice (<1m). Based on previous Pi-SAR observations in the same region, conducted in February 2000, Wakabayashi et al (2004) and Matsuoka et al (2002) discussed the relationship between the IPS (Ice Profiling Sonar) ice-draft data and L-band SAR backscatter coefficients for about 1m thick ice.…”

Section: Introductionmentioning

confidence: 99%

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Retrieval of sea ice thickness distribution in the seasonal ice zone from airborne L‐band SAR

Toyota

Nakamura

Uto

et al. 2009

International Journal of Remote Sensing

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Although it is known that satellite data are useful for obtaining ice thickness distribution for perennial sea ice or in stable thin sea ice areas, it is still an unresolved issue for the seasonal sea ice zone (SIZ). In this study, we approach the problem of ice thickness retrieval by using L-band Synthetic Aperture Radar (SAR). In the SIZ, ice thickness growth is closely related to the ridging activity and therefore surface roughness is expected to be correlated with ice thickness. L-band SAR is suitable for detecting such surface roughness, and therefore is expected to be a good tool for obtaining thickness

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Section: Summary and Discussioncontrasting

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Retrieval of sea ice thickness distribution in the seasonal ice zone from airborne L‐band SAR

Toyota

Nakamura

Uto

et al. 2009

International Journal of Remote Sensing

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“…13). The investigation was further extended to other sensors, e.g., to the airborne Pi-SAR (X-and L-band data from the Sea of Okhotsk; Nakamura et al, 2009a;Toyota et al, 2009) and to Envisat ASAR, using radar intensity and ice thickness data from 0.2 to 2.5 m, the latter acquired from a research vessel in Lützow-Holm Bay, Antarctica (Nakamura et al, 2009b). The good correlations were attributed to the fact that the co-polarized ratio values are sensitive to the dielectric constants of the ice surface layer which change due to the process of desalination during ice growth.…”

Section: Introductionmentioning

confidence: 99%

“…This means that the co-polarized ratio (Wakabayashi et al, 2004;Nakamura et al, 2009a;Toyota et al, 2009) and the cross-polarized ratio (Kim et al, 2012) which are often used as an ice thickness proxy cannot be directly calculated from CP-mode SAR data. Although CP SAR images have been used to distinguish sea ice types (Dabboor and Geldsetzer, 2014;Charbonneau et al, 2010;Geldsetzer et al, 2015), to our knowledge there have been no published studies on its use for ice thickness detection in the open literature until now.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

et al. 2016

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Abstract. In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick.

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Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements

et al. 2017

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In this study, we compare colocated near‐coincident X‐, C‐, and L‐band fully polarimetry SAR satellite images with helicopter‐borne ice thickness measurements acquired during the Norwegian Young sea ICE 2015 (N‐ICE2015) expedition in the region of the Arctic Ocean north of Svalbard in April 2015. The air‐borne surveys provide near‐coincident snow plus ice thickness, surface roughness data, and photographs. This unique data set allows us to investigate how the different frequencies can complement one another for sea ice studies, but also to raise awareness of limitations. X‐band and L‐band satellite scenes were shown to be a useful complement to the standard SAR frequency for sea ice monitoring (C‐band) for lead ice and newly formed sea ice identification. This may be in part be due to the frequency but also the high spatial resolution of these sensors. We found a relatively low correlation between snow plus ice thickness and surface roughness. Therefore, in our dataset ice thickness cannot directly be observed by SAR which has important implications for operational ice charting based on automatic segmentation.

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Observation of sea-ice thickness in the sea of Okhotsk by using dual-frequency and fully polarimetric airborne SAR (pi-SAR) data

Cited by 60 publications

References 15 publications

Retrieval of sea ice thickness distribution in the seasonal ice zone from airborne L‐band SAR

Retrieval of sea ice thickness distribution in the seasonal ice zone from airborne L‐band SAR

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements

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