A hybrid deep learning model for rainfall in the wetlands of southern Iraq
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40808-023-01754-x.pdf
Reference58 articles.
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2. Abotaleb M (2022) Hybrid deep learning models algorithm for modelling and forecasting rainwater in Wetlands in south Iraq. https://github.com/abotalebmostafa11/Hybrid-deep-learning-models-algorithm-for-modelling-and-forecastingrainwater-in-Wetlands-in-south-I
3. Adham A (2018) A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq. Int Soil Water Conserv Res 6(4):297–304. https://doi.org/10.1016/j.iswcr.2018.07.003
4. Albarakat R, Lakshmi V, Tucker C (2018) Using satellite remote sensing to study the impact of climate and anthropogenic 561. Remote Sensing, Iraq
5. Al-Handal A, Hu C (2015) Modis observations of human-induced changes in the mesopotamian marshes in iraq. Wetlands 35:31–40
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