<strong>Machine Learning–Based Super-Resolution of Sentinel-2 for Multi-Index Vegetation, agriculture and waterbody Analysis in the Hemavathi River Basin, Karnataka</strong>

Ravikiran  T

Presentation information

[E] Oral

H (Human Geosciences ) » H-GG Geography

[H-GG03] H-GG03 [E] Re-considering Regional Geography (Koichi Kimoto)

Mon. May 25, 2026 3:30 PM - 5:00 PM Exhibition Hall Special Setting (3) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Teshirogi Koki(Kanazawa University), Sunder Raj Das Arun, Sharma Raj Vishwa(Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi- 110017, India)

4:30 PM - 4:45 PM

[HGG03-10] Machine Learning–Based Super-Resolution of Sentinel-2 for Multi-Index Vegetation, agriculture and waterbody Analysis in the Hemavathi River Basin, Karnataka

*Ravikiran T¹, Prof. Ashok D Hanjagi² (1. Research Scholar, Department of Geography, Bangalore University, 2. Professor, Department of Geography, Bangalore University)

Keywords:Sentinel-2, Spatial Resolution Enhancement, Precision Agriculture, ML–Enhanced, Hemavathi Basin, SDGs