In addition, the formation and melting of icebergs influence global climate (Romanov et al., 2008 Mackie et al., 2020), ocean flux (SilvaĮt al., 2006 Rackow et al., 2017 Starr et al., 2021), sea ice production Provide important insights for the interaction of these variables (Schodlok et al., 2006). Since the trajectories and speeds of icebergs also depend on multiple and complexĮnvironmental variables (ocean, atmosphere, sea ice, etc.), icebergs Considering the majority of an iceberg is under water, iceberg drift is a good indicator of ocean circulation (Collares et al., 2018). An iceberg has a lifespan of several years or longer, and its area ranges from a few square kilometers to thousands of square kilometers. When a large ice mass breaks off from an ice shelf or glacier into the ocean, it forms an iceberg. The semi-automated iceberg tracking based on the storage capacity and computing power of GEE can be used for this purpose. Considering the complexity of modeling icebergs, there is a demand for a large iceberg database to better understand the behavior of icebergs and their interactions with surrounding environments. Predominantly driven by the westward-flowing Antarctic Coastal Current, which dominates the circulation of the region. Given that the bulk of the iceberg is under water ( ∼30–60 m freeboard and ∼150–400 m thickness), its motion is Since the iceberg is generally surrounded byĬompacted sea ice, its drift correlates in part with sea ice motion and wind velocity. Implies that these variables may be related to mechanisms causing the Of low sea ice concentration, warm air temperature, and high waves. Periods with sudden losses of area (i.e., split-offs) coincide with periods Using thisĪpproach, we successfully track iceberg B43 from the Amundsen Sea to the Ross Sea and examine its changes in area, speed, and direction. In subsequent days with the CDH of the reference target iceberg. Next, we automatically choose and trace the location of the target iceberg byĬomparing the centroid distance histograms (CDHs) of all detected icebergs First, to detect all candidate icebergs in Sentinel-1 images, we employ an object-based image segmentation (simple non-iterative clustering – SNIC) and a traditional backscatter threshold method. This study, we process Sentinel-1 data via GEE to detect and track the drift of iceberg B43 during its lifespan of 3 years (2017–2020) in the Southern Ocean. The Google Earth Engine (GEE) cloud-based platform allows processing of a large quantity of Sentinel-1 images, saving time and computational resources. View day-by-day actions of World War II with -1 C-band synthetic aperture radar (SAR) images can be used to observe the drift of icebergs over the Southern Ocean with around 1–3 d of temporal resolution and 10–40 m of spatial resolution. View day-by-day actions of the American Civil War with. Part of a network of sites that includes GlobalFirepower, a data-driven property used in ranking the top military powers of the world, (World Directory of Modern Military Aircraft), (World Directory of Modern Military Warships),, detailing the history of the world's most iconic spyplane, and, cataloguing military medals and ribbons. was used in the generation of this content site is 100% curated by humans. Please direct all other inquiries to militaryfactory AT. We do not sell any of the items showcased on this site. Material presented throughout this website is for historical and entertainment value only and should not to be construed as usable for hardware restoration, maintenance, or general operation. All written content, illustrations, and photography are unique to this website (unless where indicated) and not for reuse/reproduction in any form. trademarks protected by all applicable domestic and international intellectual property laws. The "Military Factory" name and logo are registered ® U.S. 2023 Military Pay Chart Military Ranks DoD Dictionary Conversion Calculators Military Alphabet Code Military Map Symbols
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