Machine learning algorithms for lithological mapping using Sentinel-2 and SRTM DEM in highly vegetated areas

Machine learning algorithms for lithological mapping using Sentinel-2 and SRTM DEM in highly vegetated areas

Lithological mapping in highly vegetated areas using remote sensing techniques poses a significant challenge. Inspired by the concept of “geobotany”, we attempted to distinguish lithologies indirectly using machine learning algorithms (MLAs) based on Sentinel-2 and SRTM DEM in Zhangzhou City, Fujian...

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Bibliographic Details
Main Authors: Yansi Chen, Yulong Dong, Yunchen Wang, Feng Zhang, Genyuan Liu, Peiheng Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Ecology and Evolution
Subjects:
GBDT
RF
lithological mapping
highly vegetated areas
Sentinel-2
SRTM DEM
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2023.1250971/full

Internet

https://www.frontiersin.org/articles/10.3389/fevo.2023.1250971/full

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