Melt Pond Mapping With High-Resolution SAR: The First View
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Duk-Jin | - |
dc.contributor.author | Moon, Wooil M. | - |
dc.contributor.author | Jung, Hyung-Sup | - |
dc.contributor.author | Lee, Sang H. | - |
dc.contributor.author | Chung, Kyung Ho | - |
dc.contributor.author | Hwang, Byongjun | - |
dc.coverage.spatial | Arctic regions | - |
dc.coverage.spatial | Chukchi Sea | - |
dc.date.accessioned | 2018-03-20T12:59:06Z | - |
dc.date.available | 2018-03-20T12:59:06Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | https://repository.kopri.re.kr/handle/201206/5607 | - |
dc.description.abstract | Melt pond statistics (size and shape) have previously been retrieved from aerial photography and high-resolution visible satellite data. These submeter- or meter resolution visible data can provide reasonably accurate information on melt ponds, but are greatly constrained by the limited solar illumination and frequent cloud cover in the Arctic region. In this study, we venture into exploring high-resolution synthetic aperture radar (SAR) or imaging radar method for melt pond mapping, which is not severely disrupted by cloud or low solar zenith angle. We analyzed high- resolution airborne SAR images (0.3-m resolution) of midsummer sea ice, acquired from a helicopter- borne SAR system in the northern Chuchi Sea. The pond area and shape (circularity) derived from the airborne SAR images showed that the statistics were comparable to those previously observed from aerial photographs. We argue that high-resolution SAR, together with one-to-one comparison with coincident aerial photographs, can be used to map melt ponds at the level of detail comparable to aerial photography or high-resolution optical satellite remote sensing. Our encouraging results suggest the possibility of using high-resolution SAR (current or future systems) to map melt ponds in the Arctic region.t ponds, but are greatly constrained by the limited solar illumination and frequent cloud cover in the Arctic region. In this study, we venture into exploring high-resolution synthetic aperture radar (SAR) or imaging radar method for melt pond mapping, which is not severely disrupted by cloud or low solar zenith angle. We analyzed high- resolution airborne SAR images (0.3-m resolution) of midsummer sea ice, acquired from a helicopter- borne SAR system in the northern Chuchi Sea. The pond area and shape (circularity) derived from the airborne SAR images showed that the statistics were comparable to those previously observed from aerial photographs. We argue that high-resolution SAR, together with one-to-one comparison with coincident aerial photographs, can be used to map melt ponds at the level of detail comparable to aerial photography or high-resolution optical satellite remote sensing. Our encouraging results suggest the possibility of using high-resolution SAR (current or future systems) to map melt ponds in the Arctic region. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.subject | Engineering | - |
dc.title | Melt Pond Mapping With High-Resolution SAR: The First View | - |
dc.title.alternative | 고해상도 SAR를 이용한 해빙 용융정도 측정 | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | Kim, Duk-Jin, et al. 2013. "Melt Pond Mapping With High-Resolution SAR: The First View". <em>PROCEEDINGS OF THE IEEE</em>, 101(3): 748-758. | - |
dc.citation.title | PROCEEDINGS OF THE IEEE | - |
dc.citation.volume | 101 | - |
dc.citation.number | 3 | - |
dc.identifier.doi | 10.1109/JPROC.2012.2226411 | - |
dc.citation.startPage | 748 | - |
dc.citation.endPage | 758 | - |
dc.description.articleClassification | SCI | - |
dc.description.jcrRate | JCR 2011:.82 | - |
dc.subject.keyword | high-resolution SAR | - |
dc.subject.keyword | melt pond | - |
dc.subject.keyword | sea ice | - |
dc.subject.keyword | synthetic aperture radar (SAR) system | - |
dc.identifier.localId | 2013-0199 | - |
dc.identifier.scopusid | 2-s2.0-84874525845 | - |
dc.identifier.wosid | 000315480200012 | - |
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