9/11/2023 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). 2014-2017 EU FP7-SPACE. Improved monitoring and forecasting of ecological status of European Inland waters (INFORM).2014-2016 ESA. Synergistic Exploitation of Hyper-and Multispectral Sentinel-Measurements to Determine Phytoplankton Functional Type (SynSenPFT).2016-2018 CMEMS. Towards Operational Size-class Chlorophyll Assimilation. ![]() Atlantic Meridional Transect Fiducial Reference Measurements Campaign (AMT4SentinelFRM and AMT4SATFLUX).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |