评估MODIS无云的雪地覆盖数据集,使用西藏高原的大规模空间基准数据
Yang Gao1, Xuetao Wang2, Naixia Mou3
1State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
The Science of the total environment
|August 4, 2024
概括
准确的雪盖数据对于气候研究至关重要. 这项研究开发了一个新的基准来评估MODIS雪地覆盖数据集,发现NIEER_MODIS_SCE在晴朗的天空中表现最好,时空方法在去除云层方面表现出色.
科学领域:
- 地球观测 地球观测
- 气候科学 气候科学
- 遥感 遥感 遥感 遥感
背景情况:
- 准确的雪盖数据对于气候变化研究,水资源管理和模型校准至关重要.
- 现有的中等分辨率成像光谱辐射仪 (MODIS) 积雪覆盖数据集由于基准和参数不同,缺乏系统的评估.
- 使用站数据的传统验证方法面临着空间和时间尺度的不匹配和代表性不足.
研究的目的:
- 建立一个规模匹配的空间基准数据集,用于评估MODIS雪地产品.
- 系统地评估七个MODIS无云的雪地覆盖数据集在不同条件下的性能.
- 为卫星积雪数据提供客观的评估方法,并指导未来的算法开发.
主要方法:
- 编制了一个大规模的基准数据集,使用了超过18000张Landsat和11000张Sentinel-2图像,跨越了20年.
- 根据季节,海拔,陆地覆盖面和次区域评估了七个MODIS无云的雪地覆盖数据集.
- 比较了清的天空,移除云层和集成的时空空间移除云层的方法.
主要成果:
- NIEER_MODIS_SCE在晴朗天气条件下表现出卓越的表现,特别是在每个土地使用情况的优化NDSI值的情况下.
- 时空云移除数据集的性能优于云移除数据的其他方法.
- 最好的整体数据集实现了0.82的整体准确度和84.56%的回收雪的准确度,在森林地区发现了弱点.
结论:
- 雪地绘图算法的区域定制对于准确性至关重要.
- 时空云去除技术比单步方法提供了显著的改进.
- 开发的基准和评估方法为评估卫星积雪产品和为未来战略提供信息提供了坚实的框架.
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