Babak Mohammadi
Doctoral student
Application of Machine Learning and Remote Sensing in Hydrology
Author
Summary, in English
Water is vital to all life on earth, but its management is becoming more difficult owing to the behavior of water in nature such as water dynamics, water movements, and different forms of water in nature. In addition, population growth, the impact of climate change, and the inappropriate use of water resources add more complexity to water resource management. The integration of natural sciences necessitates creative methods in decision sciences, data processing, and modeling methodologies. The prediction of such occurrences is a highly nonlinear problem that requires the use of modern capable techniques. For handling the abovementioned items, we need to use tools capable of solving water-based issues. Machine learning and remote sensing technologies as recently developed technologies have been considered as tools for these solving water-based issues. Additionally, the “Topic” sought to obtain a collection ofrecent studies on the application of machine learning and remote sensing in hydrology.
Department/s
- Dept of Physical Geography and Ecosystem Science
Publishing year
2022-06-22
Language
English
Publication/Series
Sustainability (Switzerland)
Volume
14
Issue
13
Document type
Journal article (comment)
Publisher
MDPI AG
Topic
- Physical Geography
- Water Engineering
Keywords
- hydrological modeling
- machine learning
- Remote sensing
Status
Published
ISBN/ISSN/Other
- ISSN: 2071-1050