Training and testing samples of three urban catchments in Beijing
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This file included the training and testing samples of CNN model in three urban catchments (LSH, QH and BH catchments). Detailed descriptions of the data source and format are available in Zhao et al (2019) .Zhao, G., B. Pang, Z. Xu, D. Peng, and L. Xu (2019), Assessment of urban flood susceptibility using semi-supervised machine learning model, Sci Total Environ, 659, 940-949.<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><br> <br>
本数据集包含三个城市汇水区（LSH、QH及BH汇水区）的卷积神经网络（Convolutional Neural Network, CNN）模型训练与测试样本。该数据集的数据源与格式详细说明可参见Zhao等（2019）的研究：Zhao, G., Pang, B., Xu, Z., Peng, D. & Xu, L. (2019), 《采用半监督机器学习模型评估城市洪水易感性》, 《总体环境科学（Science of the Total Environment, Sci Total Environ）》, 659, 940-949.
提供机构：
figshare
创建时间：
2021-01-21
