Rapid estimation of minimum depth-to-bedrock from lidar leveraging deep-learning-derived surficial material maps

Rapid estimation of minimum depth-to-bedrock from lidar leveraging deep-learning-derived surficial material maps

Previously glaciated landscapes often share similar surficial characteristics, including large areas of exposed bedrock, blankets of till deposits, and alluvium-floored valleys. These materials play significant roles in geologic and hydrologic resources, geohazards, and landscape evolution; however,...

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Bibliographic Details
Main Authors: William Odom, Daniel Doctor
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Applied Computing and Geosciences
Subjects:
Deep learning
Depth-to-bedrock
Lidar
Geologic mapping
Sediment thickness
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197423000058

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http://www.sciencedirect.com/science/article/pii/S2590197423000058

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