Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data

Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data

Study regions: The study area encompasses two distinct sub-basins within the High Atlas Mountains: Oukaimeden in the Rheraya and Tichki in the Mgoun Valley. Study focus: The research integrates remote sensing data, particularly the Normalized-Difference Snow Index (NDSI) from the MODIS Sensor, with...

Full description

Saved in:
Bibliographic Details
Main Authors: Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Water resource research
Semi-arid mountains
Daily snow depth prediction
Machine learning
Deep learning
Morocco
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824004348
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214581824004348

Similar Items