Applications of Machine Learning and Remote Sensing in Soil and Water Conservation

The application of machine learning (ML) and remote sensing (RS) in soil and water conservation has become a powerful tool. As analytical tools continue to advance, the variety of ML algorithms and RS sources has expanded, providing opportunities for more sophisticated analyses. At the same time, re...

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Bibliographic Details
Main Authors: Ye Inn Kim, Woo Hyeon Park, Yongchul Shin, Jin-Woo Park, Bernie Engel, Young-Jo Yun, Won Seok Jang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Hydrology
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Online Access:https://www.mdpi.com/2306-5338/11/11/183
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