IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)
DOI: 10.1109/igarss.1999.772022
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Synergestic use of RADARSAT, ERS and "Okean" radar images for sea ice studies in the Northern Sea Route

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Cited by 3 publications
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“…Light scattering from rough surfaces is of interest in many applications including remote sensing, medicine, and materials testing, to name a few. Numerous analytical formulations have been proposed in the literature to examine this problem [29,[32][33][34][35]. These models may be classified based on the degree of surface roughness.…”
Section: Light Scattering From Rough Random Surfacesmentioning
confidence: 99%
“…Light scattering from rough surfaces is of interest in many applications including remote sensing, medicine, and materials testing, to name a few. Numerous analytical formulations have been proposed in the literature to examine this problem [29,[32][33][34][35]. These models may be classified based on the degree of surface roughness.…”
Section: Light Scattering From Rough Random Surfacesmentioning
confidence: 99%
“…Spaceborne SAR provides high spatial resolution images and is one of the main sources from which detailed maps of sea ice conditions are produced for navigation in sea ice or at the ice margin (Karvonen, 2014). SAR is an active microwave sensor, which can achieve spatial resolutions ranging from about 1 m to 100 m (Johannessen et al., 2007). Image products of lower resolutions provide swath widths up to 500 km.…”
Section: Introductionmentioning
confidence: 99%
“…Sea-ice represents approximately from 7% to 15% of the ocean surface. Its study is important for observing and modeling the global warming, especially due to the interaction of sea-ice with atmosphere and ocean (Johannessen et al, 2007;Shokr & Sinha, 2015), and economic activities enhancement (fisheries, freight transport). Our goal is twofold: improve wave products in the marginal ice zone Abstract SWIM on board CFOSAT is the first spaceborne, low incidence, rotating scatterometer, aiming at measuring in near-real time ocean waves spectra.…”
mentioning
confidence: 99%