概括
海洋彩色卫星数据显示,每年的周期性与现场测量不同. 振幅和相位的差异仍然存在,需要对海洋色彩产品进行改进的不确定性估计.
科学领域:
- 海洋学 海洋学 海洋学
- 遥感 遥感 遥感 遥感
- 数据分析 数据分析
背景情况:
- 海洋彩色卫星数据 (Rrs(λ)) 的年度周期性往往与现场观测不同.
- 这些在光谱遥感反射率上的差异的来源仍然不清楚.
- 对于精确的海洋学研究来说,研究Rrs(λ) 的周期性至关重要.
研究的目的:
- 从多个卫星传感器和现场位置调查Rrs(λ) 的年度周期性.
- 识别和分析卫星衍生和现场Rrs(λ) 时间序列之间的差异.
- 了解解决这些观察到的差异起源的挑战.
主要方法:
- 应用了浮动平均值的Lomb-Scargle周期图来分析Rrs(λ) 时间序列,而不假定主导频率.
- 从四个卫星传感器和七个现场站点检查了光谱反射的周期性.
- 使用单项正弦函数来建模季节性趋势.
主要成果:
- 一个单项的正弦函数在年频率与恒定偏移有效地复制区域海洋地点的季节性趋势.
- 卫星衍生Rrs(λ) 总体上捕捉了区域特征的平均值,振幅和相位.
- 卫星和现场Rrs(λ) 之间的差异使年度频率保持不变,使匹配分析复杂化.
结论:
- 虽然卫星数据捕捉季节性趋势,但与现场数据的持续幅度和相差仍然存在.
- 在众多物理测量和辅助数据中存在的年度频率使得确定差异的来源变得复杂.
- 对于下游分析,需要改进不确定性估计,直到卫星与实地Rrs{λ) 的差异被最小化.
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