Improving hydrological modelling in cold regions using satellite remote sensing and machine learning techniques

Mohammadi, Babak (Researcher)
Duan, Zheng (Supervisor)
Pilesjö, Petter (Assistant supervisor)

Dept of Physical Geography and Ecosystem Science

Project: Dissertation

Status	Finished
Effective start/end date	2021/01/01 → 2024/10/23

Subject classification (UKÄ)

Physical Geography
Water Engineering
Earth Observation

Free keywords

Hydrological Modelling
Hydroinformatics
Remote Sensing
Machine Learning
Snow Hydrology
Water Resources

4 Article

Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions
Mohammadi, B., Gao, H., Pilesjö, P., Tuo, Y., Guo, R. & Duan, Z., 2025 Feb 24, In: Journal of Hydrology. 656, 132963.
Research output: Contribution to journal › Article › peer-review

Open Access
Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data
Mohammadi, B., Gao, H., Pilesjö, P. & Duan, Z., 2024 Feb, In: Applied water science. 14, 3, 55.
Research output: Contribution to journal › Article › peer-review

Open Access
The superiority of the Adjusted Normalized Difference Snow Index (ANDSI) for mapping glaciers using Sentinel-2 multispectral satellite imagery
Mohammadi, B., Pilesjö, P. & Duan, Z., 2023 Sept, In: GIScience and Remote Sensing. 60, 1
Research output: Contribution to journal › Article › peer-review

Open Access