Data for: Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Published: 12 June 2024| Version 1 | DOI: 10.17632/vhyykrs5pr.1
Contributor:
Sackdavong MANGKHASEUMDescription
This dataset is the data used for flood susceptibility modeling of Nam Ngum River Basin (NNRB) of Lao PDR based on eleven flood conditioning factors. The data and flood points are used for the application of machine learning algorithms for flood susceptibility mapping of Nam Ngum River Basin (NNRB). This database includes Jupyter Notebook codes for FSM using Random Forest, Support Vector Machine, Artificial Neural Networks, and Long Short-Term Memory
Files
Institutions
Kyushu Kogyo Daigaku
Categories
Remote Sensing, Geographic Information System, Machine Learning, Flood, Deep Learning