Stream Boundary Detection of a Hyper-Arid, Polar Region Using a U-Net Architecture: Taylor Valley, Antarctica

• Published in: Remote Sensing
• Main Authors: Mary C. Barlow, Xinxiang Zhu, Craig L. Glennie
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: lidar; fluvial geomorphology; stream width; remote sensing; deep learning; Science; Q; McMurdo Dry Valleys; Taylor Valley; Antarc*; Antarctica
• Online Access: https://doi.org/10.3390/rs14010234; https://doaj.org/article/6b07115944374cbd973ec458dcc1fc0f

Convolutional neural networks (CNNs) are becoming an increasingly popular approach for classification mapping of large complex regions where manual data collection is too time consuming. Stream boundaries in hyper-arid polar regions such as the McMurdo Dry Valleys (MDVs) in Antarctica are difficult...