Lithology classification integrating multi-source remote sensing data after vegetation suppression: a case study from Inner Mongolia Autonomous Region, China

Lithology classification integrating multi-source remote sensing data after vegetation suppression: a case study from Inner Mongolia Autonomous Region, China

Reducing vegetation disturbance in remote sensing images enhances lithology classification accuracy. This study utilized Gaofen-2 (GF-2), Sentinel-2A, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Gaofen-3 (GF-3) satellite images of Duolun County, Inner Mongolia. A vege...

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Bibliographic Details
Main Authors: Jiaxin Lu, Ling Han, Junfeng Wang, Liangzhi Li, Zhaode Xia
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
Multi-source remote sensing
vegetation suppression
semi-arid area
feature combination
lithology classification
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2462225
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https://www.tandfonline.com/doi/10.1080/10106049.2025.2462225

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