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Evaluation of front detection methods for satellite-derived SST data using in situ observations

, and . Journal of Atmospheric and Oceanic Technology, 17 (12): 1667--1675 (December 2000)
DOI: 10.1175/1520-0426(2000)017<1667:EOFDMF>2.0.CO;2

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Comparative study of two recent edge-detection algorithms designed to process sea-surface temperature fields., , , and . IEEE Trans. Geosci. Remote. Sens., 29 (1): 175-177 (1991)Evaluation of front detection methods for satellite-derived SST data using in situ observations, and . Journal of Atmospheric and Oceanic Technology, 17 (12): 1667--1675 (December 2000)Determining the AMSR-E SST Footprint from Co-Located MODIS SSTs., , , and . Remote. Sens., 11 (6): 715 (2019)Long-Term Variations in the Pixel-to-Pixel Variability of NOAA AVHRR SST Fields from 1982 to 2015., , , and . Remote. Sens., 11 (7): 844 (2019)Deep Learning of Sea Surface Temperature Patterns to Identify Ocean Extremes., , and . Remote. Sens., 13 (4): 744 (2021)Introducing a Global SST Gradient and Fronts Dataset Based on 20 Years of L2 MODIS SST Fields.. IGARSS, page 1072-1075. IEEE, (2023)Evaluation of the precision in level-2 avhrr sea surface temperature fields., , , and . IGARSS, page 2954-2957. IEEE, (2017)The Fundamental Patterns of Sea Surface Temperature., , , and . IEEE Trans. Geosci. Remote. Sens., (2023)OPeNDAP: Accessing data in a distributed, heterogeneous environment., , and . Data Sci. J., (2003)Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis., , , , , , , , , and 1 other author(s). Ecol. Informatics, 5 (1): 42-50 (2010)