Detection of the Status of Diatom Blooms in the Tributaries of the ...
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Oct 20, 2023 · In this study, we developed a novel deep learning-based framework for the detection of the status of diatom blooms in river tributaries using Sentinel-2 ...
Nov 1, 2023 · The primary goal of this study was to propose a new framework to monitor the diatom blooms occurring in river tributaries, based on broadband.
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This article describes the application of machine learning techniques to develop state-of-the-art detection and prediction system for spatiotemporal events ...
Detection of the Status of Diatom Blooms in the Tributaries of the Yangtze River Based on Sentinel-2 Images. Article. Jan 2023. Linwei Yue · Huimin Luo · Zheng ...
In this study, we employed Sentinel-2 imagery, offering superior spatiotemporal resolution, to develop a higher-accurate SSC model and quantitatively evaluated ...
Detection of the Status of Diatom Blooms in the Tributaries of the Yangtze River Based on Sentinel-2 Images. Request PDF. Restricted access. IEEE Transactions ...
Detection of the Status of Diatom Blooms in the Tributaries of the Yangtze River Based on Sentinel-2 Images ... Detecting Trichodesmium blooms in SeaWiFS imagery.
We propose a machine learning based spatio-temporal data mining approach for the detection of HAB events in the region of the Gulf of Mexico. In this study, a ...
A novel 10-m spatial resolution MNDWI is produced from Sentinel-2 images by downscaling the 20-m resolution SWIR band to 10 m based on pan-sharpening.