算法可以从遥感检测中获取海洋光的光谱扩散衰减系数
Optics express
|February 1, 2024
概括
海洋颜色算法显示光谱扩散衰减系数 (Kd(λ)) 检索中的偏差. 调整经验系数减少了偏差,但基于辐射转移理论的分析算法显示了改进的全球概括.
科学领域:
- 海洋学 海洋学 海洋学
- 遥感 遥感 遥感 遥感
- 光学海洋学是指光学海洋学
背景情况:
- 常见的海洋颜色算法在光谱扩散衰减系数 (Kd(λ)) 检索中表现出明显的偏差,而不是对浮体测量进行分析.
- 调整现有算法的经验系数可以通过使用多卫星数据来减少这种偏差.
研究的目的:
- 为了解决调整的海洋颜色算法对Kd(λ) 估计的概括限制.
- 评估和实施基于辐射转移理论的Kd(λ) 检索的分析算法.
主要方法:
- 利用多卫星匹配数据集调整海洋颜色算法的经验系数.
- 开发并应用了一种分析算法,该算法从远程传感反射率 (Rrs) 逆转和传输辐射信息中获得的固有光学特性 (IOPs) 中计算Kd(λ).
- 经过验证的Kd(λ) 估计,使用分析浮体测量,现场数据集和辐射转移模拟.
主要成果:
- 调整算法减少了偏差,但仍可能导致全球应用中的时间/地理偏差.
- 新的分析算法证明了Kd(λ) 在412和490 nm的浮动测量对偏差最小.
- 在各种水类 (清水到水) 和评估方法中观察到令人满意的表现.
结论:
- 一个分析算法提供了一个有希望的方法来克服全球Kd(λ) 估计中的概括问题.
- 需要进一步的研究来评估调和和分析算法的超频谱性能.
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