Miura Yohei, Shamsudduha Mohammad, Suppasri Anawat, Sano Daisuke
Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-ku, Sendai, Miyagi, 980-8579, Japan.
Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK.
Sci Data. 2025 Jul 17;12(1):1253. doi: 10.1038/s41597-025-05562-z.
Spatiotemporal mapping of surface water extent constitutes a valuable dataset for the management of water resources, the monitoring of flood- and drought-affected areas, and the conservation of wetlands and freshwater ecosystems. Surface water indices, derived from optical satellite data, serve as effective indicators for estimating surface water coverage. However, global-scale datasets featuring high-resolution surface water mapping using multiple water indices remain scarce and constrained in temporal and spatial scope. Here, we present monthly surface-water maps derived from three water indices, Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI), and Water Index 2015 (WI2015), utilizing high-resolution earth observation satellite data from Landsat-8 and Sentinel-2 for the period January 2019 to December 2021. These maps will be regularly updated as new satellite data become available. These water index mappings provide a baseline for projecting the distribution of surface-water resources and deliver critical information for the sustainable management of surface water resources under the challenges posed by the global climate change.
地表水范围的时空映射构成了一个有价值的数据集，可用于水资源管理、受洪水和干旱影响地区的监测以及湿地和淡水生态系统的保护。从光学卫星数据中得出的地表水指数是估算地表水覆盖范围的有效指标。然而，利用多种水指数进行高分辨率地表水测绘的全球尺度数据集仍然稀缺，并且在时间和空间范围上受到限制。在此，我们展示了从归一化差异水指数（NDWI）、改进型NDWI（MNDWI）和2015年水指数（WI2015）这三种水指数得出的月度地表水地图，这些地图利用了2019年1月至2021年12月期间来自Landsat-8和哨兵-2号的高分辨率地球观测卫星数据。随着新卫星数据的获取，这些地图将定期更新。这些水指数映射为预测地表水资源的分布提供了基线，并在全球气候变化带来的挑战下，为地表水的可持续管理提供了关键信息。
