Forecasting LULC Dynamics of Soran under Future Climate Scenarios Using Machine Learning
Changes in land use/land cover (LULC) are a substantial environmental subject with considerable consequences for human well-being, climate, and ecosystems. Innovative investigations for predicting LULC changes are essential f... | Find, read and cite all the research you need on Tech Science Press
Authors
- Rahel Hamad (ORCID: https://orcid.org/0000-0001-8848-2339)
- Yaseen T. Mustafa (ORCID: https://orcid.org/0000-0003-0634-3170)
- Abdulqadeer Rash (ORCID: https://orcid.org/0000-0003-2837-607X)
Publication Details
- Journal
- Revue internationale de géomatique
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/rig.2025.065870
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Aeronautics and Space Administration
- U.S. Geological Survey