在山区的谷歌地球引擎中使用科珀尼克斯数据集进行时间序列洪水映射
Narayan Thapa1, Sujan Nepali1, Raman Shrestha1
1International Center for Integrated Mountain Development, Nepal.
Data in brief
|September 22, 2025
概括
尼泊尔 尼泊尔 尼泊尔 尼泊尔 尼泊尔
科学领域:
- 地球观测 地球观测
- 水文学的水文学
- 遥感 遥感 遥感 遥感
背景情况:
- 在尼泊尔等山区,由于地形复杂,雪融和季风降雨,洪水给山区带来了重大挑战.
- 有效的洪水监测和风险管理对于保护尼泊尔山区和喜马拉雅地区的社区和基础设施至关重要.
研究的目的:
- 为尼泊尔从2019-2023年开发一个高分辨率,时间序列的洪水范围数据集.
- 通过使用卫星图像,在各种山区环境中提高洪水绘图准确度.
主要方法:
- 使用了科珀尼克斯卫星卫星-2A级图像 (10米分辨率) 处理在谷歌地球引擎.
- 雇员规范差异植被指数 (NDVI) 具有特定区域的值 (丘陵地区的NDVI<0.019,喜马拉雅地区的NDVI<0).
- 应用云掩盖 (SCL),雪掩盖 (科珀尼克斯全球陆地覆盖) 和时间差距填充,以获得可靠的数据.
主要成果:
- 创建了一个时间序列洪水范围数据集 (2019-2023) 与一致的空间模式.
- 成功地绘制了尼泊尔复杂的山地景观的洪水延伸,占雪和碎片流量.
- 该数据集为洪水预测和土地利用规划提供了关键数据.
结论:
- 开发的数据集为尼泊尔山区洪水动态提供了有价值的见解.
- 高分辨率卫星数据和先进的处理技术提高了洪水监测能力.
- 该资源支持改善减少灾害风险和跨学科研究.
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