2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
DOI: 10.1109/igarss.2015.7326559
|View full text |Cite
|
Sign up to set email alerts
|

On the relation between polarimetric synthetic aperture radar (SAR) features and sea ice melt pond fraction

Abstract: In this study we examine the relationship between sea ice melt pond fraction and two polarimetric C-band synthetic aperture radar (SAR) features. Three high-resolution SAR scenes were recorded in the Fram Strait in late summer 2011, covering iceberg-fast first-year and old sea ice. In addition, melt pond fraction was retrieved from photographs recorded during a helicopter flight at the study area. Co-polarisation ratio and relative kurtosis were extracted from the SAR scenes and compared to the retrieved melt … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
2
1

Year Published

2016
2016
2022
2022

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 7 publications
1
2
1
Order By: Relevance
“…Both studies were performed in the central Canadian Arctic Archipelago. The findings were partly confirmed by Fors et al (2015), who also suggest a relationship between f MP and the statistical SAR feature relative kurtosis (RK) utilising Radarsat-2 on iceberg-fast FYI and MYI in the Fram Strait. Han et al (2016) combined multiple polarimetric SAR features in f MP estimation by machine learning methods, employing the co-polarisation channels of the MYI X-band SAR scene explored in Kim et al (2013).…”
Section: Introductionsupporting
confidence: 63%
See 3 more Smart Citations
“…Both studies were performed in the central Canadian Arctic Archipelago. The findings were partly confirmed by Fors et al (2015), who also suggest a relationship between f MP and the statistical SAR feature relative kurtosis (RK) utilising Radarsat-2 on iceberg-fast FYI and MYI in the Fram Strait. Han et al (2016) combined multiple polarimetric SAR features in f MP estimation by machine learning methods, employing the co-polarisation channels of the MYI X-band SAR scene explored in Kim et al (2013).…”
Section: Introductionsupporting
confidence: 63%
“…This is also an important result, implying useful knowledge for instance in classification of summer sea ice based on Xband imagery. The statistical feature RK showed a promising relation to f MP in C-band on fast ice in the Fram Strait (Fors et al, 2015), but no relation was found in our investigation. Lack of the HV-channel, or less dominant height difference between ponds and sea ice could both possibly explain the absence of correlation.…”
Section: Discussioncontrasting
confidence: 45%
See 2 more Smart Citations