基于NDWI及扩展指数的地表水分变化监测——以宿鸭湖水库为例

Monitoring surface moisture changes using NDWI and extended indices: a case study of Suyahu Reservoir

  • 摘要: 基于遥感绿光波段和近红外波段对地表水分反射率的差异,探索使用归一化水体指数(NDWI)及扩展指数监测地表水分变化。利用2018—2022年的多时相Sentinel-2光学影像,比较NDWI固定阈值为0和OTSU自适应阈值法(Otsu's thresholding method)在水体提取中的效果,进一步提出时序二值化NDWI差值指数(NDWIb-del)、归一化NDWI差值指数(NNDWIdel)用于识别水体动态转换与地表水分动态变化,并以宿鸭湖大型水库为例进行分析。结果表明:NDWI阈值为0的提取效果优于OTSU阈值,后者有效期不足50%。水体分布与清淤扩容动态密切相关,2018年主要是西北部和西岸水体的自然变化,施工后,2019年库西水体减少,2020—2021年,深水带与一号人工岛附近及坝后排泥区水体面积增加;2022年,二号至三号人工岛附近水体持续增加。NDWIb-del方法的监测结果显示,2019—2022年,施工填筑区、深水带区与坝后堆泥区有明显的水体转换。NNDWIdel的监测表明,2019至2022年指数值的极端变化对应水体与非水体的转换,指数值的适中变干和适中变湿对应极端变化的前序阶段,包括土方填筑导致的水体减少和淤泥堆放导致的水体聚积等不明显转换区。本研究基于NDWI指数扩展两种遥感监测指数,为地表水分和环境变化的自动高效监测提供了新方法。

     

    Abstract: Based on the differential reflectance of surface moisture in the green and near-infrared bands observed via remote sensing, this study explores the use of the Normalized Difference Water Index (NDWI) and its extended indices to monitor surface moisture changes. Multi-temporal Sentinel-2 optical imagery from 2018 to 2022 was utilized to compare the performance of water body extraction methods using a fixed NDWI threshold of 0 and Otsu's adaptive thresholding method. Furthermore, two novel indices—the Binary NDWI Difference Index (NDWIb-del) and the Normalized NDWI Difference Index (NNDWIdel)—were proposed for identifying dynamic water transitions and surface moisture changes. The study analyzed these indices using Suyahu Reservoir as a case study. Results indicate that the fixed NDWI threshold of 0 outperformed Otsu's thresholding method, which had an effective period of less than 50%. Water distribution closely aligned with dredging and expansion activities. In 2018, natural changes in water bodies were mainly observed in the northwest and western areas. Post-construction, the water area in the western reservoir decreased in 2019, while increases in the deep-water zones, areas near Artificial Island No. 1, and post-dam dredging zones were observed in 2020–2021. By 2022, water bodies around Artificial Islands No. 2 and No. 3 continued to expand. The NDWIb-del index identified significant water transitions in construction fill zones, deep-water zones, and post-dam dredging zones from 2019 to 2022. The NNDWIdel index revealed extreme changes corresponding to transitions between water and non-water states, while moderate drying and wetting changes corresponded to precursor phases of extreme changes, including water body reductions due to earthworks and water accumulation from silt deposition in less apparent transition zones. This study extends the NDWI framework by proposing two remote sensing indices, providing a novel and efficient method for automated monitoring of surface moisture and environmental changes..

     

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