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

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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Bibliographic Details
Main Authors: Mohamed Karim El Oufir, Karem Chokmani, Anas El Alem, Hachem Agili, Monique Bernier
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
seasonal snowpack
metamorphosis
classification
hyperspectral imaging
near-infrared
Online Access:https://www.mdpi.com/1424-8220/21/16/5259

Internet

https://www.mdpi.com/1424-8220/21/16/5259

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