Prediction of Peak Floods in Indian Rivers using Interpretable Machine-Learning

This dataset represents the predicted peak flood discharge across all Indian River stream networks. It is available at a high resolution of 30 arc-seconds (~1 km) in gridded TIFF and NetCDF formats, making it easily usable for both research and practical applications. Units of discharge in the dataset: Cumecs For detailed information about this database and its development, please refer to the original research article published in IEEE IGARSS 2025: Kuntla, S. K., & Saharia, M. (2025). Prediction of Peak Floods in Indian Rivers using Interpretable Machine-Learning. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 5773–5777. https://doi.org/10.1109/IGARSS55030.2025.11242832 Disclaimer: While every effort has been made to ensure the accuracy of the data, the authors do not assume responsibility for any errors, omissions, or misuse. Users must cite the database and the associated research article published in IEEE IGARSS 2025 when utilizing this data and acknowledge that all interpretations and conclusions drawn from the data are their own. To Be Cited: Kuntla, S. K., & Saharia, M. (2025). Prediction of Peak Floods in Indian Rivers using Interpretable Machine-Learning. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 5773–5777. https://doi.org/10.1109/IGARSS55030.2025.11242832本数据集涵盖印度所有河网的预测洪峰流量。 该数据集以30角秒（约1公里）的高分辨率提供，采用网格化TIFF与NetCDF格式，可便捷应用于科研与实际场景。 本数据集的流量单位为立方米每秒（Cumecs）。 如需了解该数据集的详细信息与构建过程，请参阅发表于2025年IEEE国际地球科学与遥感研讨会（IEEE IGARSS 2025）的原创研究论文： Kuntla S.K.、Saharia M. (2025). 基于可解释机器学习的印度河流域洪峰预测. 2025年IEEE国际地球科学与遥感研讨会（IGARSS 2025），第5773-5777页. https://doi.org/10.1109/IGARSS55030.2025.11242832 免责声明： 尽管已尽最大努力确保数据准确性，但作者不对数据中的任何错误、遗漏或不当使用承担责任。用户在使用本数据集时，必须引用该数据集及上述发表于IEEE IGARSS 2025的研究论文，并明确说明基于本数据集得出的所有解读与结论均由用户自行负责。 引用格式： Kuntla S.K.、Saharia M. (2025). 基于可解释机器学习的印度河流域洪峰预测. 2025年IEEE国际地球科学与遥感研讨会（IGARSS 2025），第5773-5777页. https://doi.org/10.1109/IGARSS55030.2025.11242832