8/15/2023 0 Comments Bobjones geography tests![]() ![]() ![]() Such a monitoring system could be used for predicting HAB outbreaks based on near real-time measurements, essential to support aquaculture industries, desalination plants, tourism, and public health. The proposed SVD-model offers a cost-effective tool for implementing an automated remote-sensing monitoring system for detecting HAB species in the basin. The results were validated with concurrent in-situ data from surface samples, demonstrating that the SVD-model performs remarkably well at detecting and distinguishing HAB species in the Red Sea basin. ![]() We implemented and tested the proposed SVD algorithm to detect HABs associated with the mixed assemblages of different phytoplankton functional type (PFT) groupings in the Red Sea. By combining a singular value decomposition (SVD) approach and satellite remote sensing observations, we propose a remote sensing algorithm to detect and delineate species-specific HABs. ![]() An effective approach for detecting, monitoring, and eventually predicting the occurrences of such events is required. Harmful algal blooms (HABs) have adverse effects on marine ecosystems. Post-doctoral Fellowship: Decadal changes in phytoplankton community ecology through remote sensing (DECIPHER).
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