UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring

Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching. This paper describes an unmanned aerial vehicle (UAV) remo...

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Detalles Bibliográficos
Autores principales: Parsons, Mark, Bratanov, Dmitry, Gaston, Kevin J., Gonzalez, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069449/
https://www.ncbi.nlm.nih.gov/pubmed/29941801
http://dx.doi.org/10.3390/s18072026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069449/
https://www.ncbi.nlm.nih.gov/pubmed/29941801
http://dx.doi.org/10.3390/s18072026

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