Seasonal Snowpack Classification Based on Physical Properties Using Near-Infrared Proximal Hyperspectral Data

This paper proposes an innovative method for classifying the physical properties of the seasonal snowpack using near-infrared (NIR) hyperspectral imagery to discriminate the optical classes of snow at different degrees of metamorphosis. This imaging system leads to fast and non-invasive assessment o...

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Detalles Bibliográficos
Autores principales: El Oufir, Mohamed Karim, Chokmani, Karem, El Alem, Anas, Agili, Hachem, Bernier, Monique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399801/
https://www.ncbi.nlm.nih.gov/pubmed/34450701
http://dx.doi.org/10.3390/s21165259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399801/
https://www.ncbi.nlm.nih.gov/pubmed/34450701
http://dx.doi.org/10.3390/s21165259

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