Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep Learning Land Cover Classification

Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep Learning Land Cover Classification

River systems face negative impacts from development and removal of riparian vegetation that provide critical shading in the face of climate change. This study used supervised deep learning to accurately classify the land cover, including shading, of the Chauga River watershed, located in Oconee Cou...

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Bibliographic Details
Main Authors: Madeleine M. Bolick, Christopher J. Post, Elena A. Mikhailova, Hamdi A. Zurqani, Andrew P. Grunwald, Elizabeth A. Saldo
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
geographic information systems (GIS)
machine learning
national forest
protected area
solar radiation
urbanization
Online Access:https://www.mdpi.com/2072-4292/13/20/4172

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