Abstract:Here we analyze ice conditions in the Southeastern Baltic (SEB) Sea and in the Curonian Lagoon (CL) using spaceborne synthetic aperture radar (SAR) data combined with in-situ measurements from coastal stations during four winter seasons between 2009–2013. As shown, the ice conditions in the SEB and in the CL are strongly varying from year to year and do not always correlate with each other. In the SEB, ice cover may form only within 5–15 km band along the coast or spread up to 100 km offshore covering almost t… Show more
“…In winter, grease ice may take a shape similar to oil discharge from the moving vessel, or it may look like a huge oil spill (Figure 5). For the SEB, such ice phenomena are concentrated mainly in the coastal zone or near the canals connecting the SEB with the Curonian and Vistula Lagoons [63][64][65]. As an example, two slicks were reported as oil spills, and later it was proven that they were of natural origins (see Figure 5).…”
Section: High Confidence Medium Confidence Low Confidencementioning
The results of long-term satellite monitoring of oil pollution of the sea surface in the southeastern Baltic Sea (SEB) are discussed in this paper. From June 2004 to December 2020, in total, 2780 Synthetic Aperture Radar (SAR) images from different satellites were received and analyzed. There were 788 oil spills detected in the study area. The oil spills were concentrated along the main shipping routes in the SEB. The volume of the detected oil spills was estimated. The average size of the spill was about 2 km2 or 0.8 m3. Seasonal variability of oil pollution shows a decrease in the number of oil detections in the autumn–winter period, which is associated with the prevalence of unfavorable wind conditions that limit the use of SAR technology for oil spill detection and navigation for small ships. In situ measurements show that seasonal variation in the concentration of oil products in seawater is characterized by a maximum in April and a minimum in July. Since 2007, a decrease in oil detections has been observed for the entire Baltic Sea, including the study area. The interannual variability also shows a decrease in the concentration of oil products in the water column. In the southeastern Baltic Sea, the volume of oil products released yearly to the sea surface from ships does not exceed 0.1% of the average instantaneous presence of oil products in the water column.
“…In winter, grease ice may take a shape similar to oil discharge from the moving vessel, or it may look like a huge oil spill (Figure 5). For the SEB, such ice phenomena are concentrated mainly in the coastal zone or near the canals connecting the SEB with the Curonian and Vistula Lagoons [63][64][65]. As an example, two slicks were reported as oil spills, and later it was proven that they were of natural origins (see Figure 5).…”
Section: High Confidence Medium Confidence Low Confidencementioning
The results of long-term satellite monitoring of oil pollution of the sea surface in the southeastern Baltic Sea (SEB) are discussed in this paper. From June 2004 to December 2020, in total, 2780 Synthetic Aperture Radar (SAR) images from different satellites were received and analyzed. There were 788 oil spills detected in the study area. The oil spills were concentrated along the main shipping routes in the SEB. The volume of the detected oil spills was estimated. The average size of the spill was about 2 km2 or 0.8 m3. Seasonal variability of oil pollution shows a decrease in the number of oil detections in the autumn–winter period, which is associated with the prevalence of unfavorable wind conditions that limit the use of SAR technology for oil spill detection and navigation for small ships. In situ measurements show that seasonal variation in the concentration of oil products in seawater is characterized by a maximum in April and a minimum in July. Since 2007, a decrease in oil detections has been observed for the entire Baltic Sea, including the study area. The interannual variability also shows a decrease in the concentration of oil products in the water column. In the southeastern Baltic Sea, the volume of oil products released yearly to the sea surface from ships does not exceed 0.1% of the average instantaneous presence of oil products in the water column.
“…More MYI survives in the Arctic than in the Antarctic [8]. Sea ice monitoring consists of several applications, such as ice type classification [9]- [42], ice concentration [43]- [67] and ice thickness [68]- [79] estimation, and ice drift (or motion) retrieval [80]- [99]. Sea ice classification is considered one of the most important tasks for sea ice charting among these applications.…”
Sea ice profoundly influences ocean circulation, the polar environment, biology, climate, and commercial activities. The rapidly changing sea ice environment and increased human activities in polar regions drive the demand for sea ice monitoring. Spaceborne synthetic aperture radar (SAR) has been widely adopted for sea ice sensing due to its all-weather, high spatial resolution, and day-and-night imaging capabilities. Previous reviews have addressed sea ice sensing based on various applications and sensors. However, no meta-analysis has been performed to specifically explore spaceborne polarimetric SAR-data-based sea ice sensing. Therefore, this study aims to provide a meta-analysis of spaceborne polarimetric SAR-data-based sea ice sensing by investigating 182 articles published in the last decade. Sea ice sensing applications for retrieving four key geophysical parameters (sea ice types, concentration, thickness, and motion) as well as SAR scattering characteristics analysis for sea ice are included. The review database was created with 15 fields including quantitative and qualitative perspectives, such as SAR frequency, polarization mode, methodology, evaluation metrics, etc. This meta-analysis aims to provide comparisons among different techniques and identify current challenges to determine effective methods for sea ice sensing. Overall, a snapshot of spaceborne polarimetric SAR-databased sea ice sensing is presented through the meta-analysis, which could benefit researchers for future studies to advance this field.
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