Author:
Sapitang Michelle,Dullah Hayana,Latif Sarmad Dashti,Ng Jing Lin,Huang Yuk Feng,Malek Marlinda Binti Abdul,Elshafie Ahmed,Ahmed Ali Najah
Funder
Universiti Tunku Abdul Rahman
Reference118 articles.
1. Computational machine learning approach for flood susceptibility assessment integrated with remote sensing and GIS techniques from Jeddah, Saudi Arabia;Al-Areeq;Rem. Sens.,2022
2. Combination of metaheuristic optimization algorithms and machine learning methods for groundwater potential mapping;Al-Ayyash;Sustain. Times,2023
3. Machine learning and hyperparameters algorithms for identifying groundwater Aflaj potential mapping in semi-arid ecosystems using LiDAR, sentinel-2, GIS data, and analysis;Al-Kindi;Rem. Sens.,2022
4. Real-time measurement of flash-flood in a Wadi area by LSPIV and STIV;Al-mamari;Hydrology,2019
5. Assessment of sediment yield and deposition in a dry reservoir using field observations, RUSLE and remote sensing: Wadi Assarin, Oman;Al-Mamari;J. Hydrol.,2023
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献