Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity

Inland waters are of great importance for scientists as well as authorities since they are essential ecosystems and well known for their biodiversity. When monitoring their respective water quality, in situ measurements of water quality parameters are spatially limited, costly and time-consuming. In...

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Detalles Bibliográficos
Autores principales: Keller, Sina, Maier, Philipp M., Riese, Felix M., Norra, Stefan, Holbach, Andreas, Börsig, Nicolas, Wilhelms, Andre, Moldaenke, Christian, Zaake, André, Hinz, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164519/
https://www.ncbi.nlm.nih.gov/pubmed/30200256
http://dx.doi.org/10.3390/ijerph15091881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164519/
https://www.ncbi.nlm.nih.gov/pubmed/30200256
http://dx.doi.org/10.3390/ijerph15091881

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