Advances in image-based estimation of snow variable: A systematic literature review on recent studies

Getnet Demil, Ali Torabi Haghighi, Björn Klöve, Mourad Oussalah

Abstract: Highlights•Accurate snow hydrology parameters vital for water resources, flood prediction, and eco-management.•Deep learning enhances snow parameter estimation via spatial-temporal data analysis.•Satellite and crowd-sourced data drive image-based snow hydrology breakthroughs.•Challenges: data scarcity, model clarity, transferability need new deep learning solutions.•Future focus: advancing image-based methods for snow parameter estimation and eco-management.

External IDs:doi:10.1016/j.jhydrol.2025.132855