When conditions do not permit reliable oil delineation (e.g., clouds, lack of sun glint), synthetic aperture radar (SAR) oil delineation is obtained from These images were processed at the University of South Florida, College of Marine Science and made available in near real-time. Depending on the solar and satellite viewing geometry as well as other factors, oil slicks can appear darker or brighter than the surrounding water, and they can have different spectral shapes than other ocean features. Recent article by Hu et al.(2009), and another example for a turbid estuary can be found in The principles to use MODIS imagery for oil spill detection are summarized in a Ocean Circulation Group at the USF College of Marine Science. The prediction of the oil movement with water circulation is being performed by the Oil entrained in the Loop Current will be transported to the Florida Straits and the east coast of the U.S. MERIS satellite RGB images to show the location and size of the subsequent oil spill on the ocean surface, and provides 1-km resolution MODIS Sea Surface Temperature imagery to examine the position of the oil spill relative toe major ocean circulation features such as the This image archive provides 250-m resolution In cases where the inclusion of 1), 2) and 3) above is impractical, the following three organization names and/or their abbreviations should be listed as a minimum.A massive explosion occurred on an oil drilling rig in the Northern Gulf of Mexico on the evening of 20 April 2010, followed by fire burning for more than a day before the oil rig, Deepwater Horizon, sank to the 1500-m deep ocean on 21 April 2010. doi: 10.1175/BAMS-D-15-00154.1 Organization names and abbreviations Hillger, 2016: A Sight for Sore Eyes - The Return of True Color to Geostationary Satellites. Sumida, 2018: True color imagery rendering for Himawari-8 with a color reproduction approach based on the CIE XYZ color system. We would like to acknowledge them for the collaboration and their permission to use the software. The imagery was developed on the basis of collaboration between the JMA Meteorological Satellite Center and the NOAA/NESDIS/STAR GOES-R Algorithm Working Group imagery team. Software for this purpose was provided by the Cooperative Institute for Research in the Atmosphere (CIRA) established by NOAA/NESDIS and Colorado State University in United States of America. To make the imagery more vivid, atmospheric correction (Rayleigh correction, Miller et al., 2016) is also applied to AHI Bands 1-4. (2016), the green band is optimally adjusted using Band 2, 3 and 4. In this process, as an alternative to the bi-spectral hybrid green method outlined by Miller et al. To reproduce colors as seen by the human eye, RGB signals observed by AHI are converted into CIE XYZ values and reconverted into RGB signalsįor output devices compliant with sRGB (an international standard for RGB color space) (Murata et al., 2018). The imagery consists of data from three visible bands (Band 1, 2 and 3), one near-infrared band (Band 4) and one infrared band (Band 13). True Color Reproduction (TCR) technology enables the display of earth images taken from space in a way that is familiar to the human eye. The content of 1), 2) and 3) below should also be included with any usage of such TCR imagery. ASWind (AMV-based Sea-surface Wind) for Tropical Cyclone MonitoringĪll usage of True Color Reproduction (TCR) imagery provided here is subject to the Terms of Use for the MSC/JMA website.
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