Development of a Red Tide Early Detection System Using Satellite Images
Author:
Affiliation:
1. Kumamoto University,Kumamoto,Japan
2. Universite Clermont Auvergne,Clermont-Ferrand,France
3. Federal University of Rio de Janeiro,Rio de Janeiro,Brazil
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10474595/10474607/10474956.pdf?arnumber=10474956
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2. A Novel Method Based on Backscattering for Discriminating Summer Blooms of the Raphidophyte (Chattonella spp.) and the Diatom (Skeletonema spp.) Using MODIS Images in Ariake Sea, Japan
3. HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms
4. Convolutional neural network model for discrimination of harmful algal bloom (hab) from non-habs using sentinel-3 olci imagery;Shin;ISPRS Journal of Photogrammetry and Remote Sensing,2022
5. Detection of harmful algal blooms of karenia mikimotoi using modis measurements: A case study of seto-inland sea, japan;Siswanto;Remote Sensing of Environment,2013
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