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Remote Sensing, Vol. 12, Pages 355: A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand
(Remote Sensing)
21 january 2020 18:02:47
Remote Sensing, Vol. 12, Pages 355: A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand
(Remote Sensing)
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seagrass; Sentinel-2; random forest; rotation forest; canonical correlation forest; maximum likelihood; Tauranga; machine learning; remote sensing
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Remote Sensing, Vol. 12, Pages 356: Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry
(Remote Sensing)
Remote Sensing, Vol. 12, Pages 353: Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China`s Loess Plateau
(Remote Sensing)
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