Data for: Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR

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

本数据集为基于11种洪水敏感性影响因子，用于老挝人民民主共和国南俄河流域（Nam Ngum River Basin, NNRB）洪水敏感性建模的相关数据。该数据集与洪水样本点可用于机器学习算法在南俄河流域（Nam Ngum River Basin, NNRB）洪水敏感性制图中的应用。本数据库包含针对洪水敏感性建模（Flood Susceptibility Modeling, FSM）的Jupyter Notebook代码，所采用的机器学习算法包括随机森林（Random Forest）、支持向量机（Support Vector Machine）、人工神经网络（Artificial Neural Networks）以及长短期记忆网络（Long Short-Term Memory）