概括
一种更新的破坏方法改善了NOAA-20和NOAA-21卫星上可见红外成像射线计套件 (VIIRS) 的海洋颜色数据. 这提高了叶绿素a,水的清晰度和光谱数据的准确性,这对于海洋研究至关重要.
科学领域:
- 遥感 遥感 遥感 遥感
- 海洋学 海洋学 海洋学
- 卫星数据分析 卫星数据分析
背景情况:
- 条纹文物是可见红外成像放射仪套件 (VIIRS) 数据中已知的问题.
- 对于早期的Suomi国家极地轨道伙伴关系 (SNPP) 任务有效的现有破坏方法,需要对较新的VIIRS传感器进行更新.
- 准确的海洋色彩产品对于了解海洋生态系统和气候变化至关重要.
研究的目的:
- 更新和验证VIIRS-NOAA-20海洋颜色数据的破坏方法.
- 评估更新破坏对关键海洋色彩产品的影响.
- 评估更新方法对VIIRS-NOAA-21和VIIRS-SNPP数据的适用性.
主要方法:
- 对VIIRS-NOAA-20规范的脱水辐射 (nLw(λ)) 光谱的破坏算法进行修改和更新.
- 分析消毒对叶绿素a,水的清晰度和质量保证得分的影响.
- 在VIIRS-SNPP,VIIRS-NOAA-20和VIIRS-NOAA-21传感器中比较破坏效果.
主要成果:
- 对于VIIRS-SNPP的现有破坏方法,需要对VIIRS-NOAA-20数据进行重大更新.
- 更新后的脱皮有效地消除了VIIRS-NOAA-20 nLw(λ) 频谱中的条纹噪声.
- 量化了对叶绿素a,水的清晰度和质量保证得分的影响,显示了显著的改善.
- 在VIIRS-NOAA-21数据中观察到类似的,但不那么严重的条纹,需要调整方法.
结论:
- 适当选择的破坏参数对于减轻VIIRS海洋颜色数据中的文物至关重要.
- 更新的方法显著提高了来自VIIRS-NOAA-20和VIIRS-NOAA-21的海洋彩色产品的质量.
- 这项工作提供了一种精细的方法,可以从多个VIIRS传感器生成可靠的海洋颜色数据.
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