弥合水域遥感反射度验证中的差距:像素边界效应及其诱导的错误
Shuling Xiao1, Chunguang Lyu1, Chi Zhang1,2
1College of Resources and Environment, Linyi University, Linyi 276000, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
海洋色彩遥感精度通过新的像素级空间不匹配指数 (PSMI) 得到了改进. 该指数量化了像素边界效应 (PBE) 的错误,增强了海洋生物地质化学监测.
科学领域:
- 海洋学 海洋学 海洋学
- 遥感 遥感 遥感 遥感
- 地质物理学 地质物理学
背景情况:
- 海洋色彩遥感对于监测海洋生物地球化学过程至关重要.
- 遥感反射率 (Rrs) 的精度至关重要,但由于点测量和像素观测之间的尺度不匹配而受到限制.
- 像素边界效应 (PBE) 在Rrs产品中引入量化的不确定性.
研究的目的:
- 引入和验证像素级空间不匹配指数 (PSMI) 以评估由PBE引起的空间代表性错误.
- 量化PBE对不同传感器和频段的Rrs精度的影响.
- 开发一个框架来测量空间偏差峰值和定义PBE窗口.
主要方法:
- 开发了像素级空间不匹配指数 (PSMI).
- 使用了AERONET-OC数据与MODIS/Aqua和OLCI/Sentinel-3A的观测结果.
- 提出了基于里曼·斯蒂尔特杰斯积分的指数和PBE窗口定义的基线方法.
主要成果:
- 在像素边缘,PSMI有效地识别了系统的Rrs偏差峰值.
- 这些偏差峰值的观察到的传感器和频段依赖性特征.
- 证实PBE是一个独立的错误源,与大气和几何错误相互作用.
结论:
- 通过多因素相互作用,PBE显著调节Rrs产品的整体不确定性.
- 将像素尺度效应纳入验证协议至关重要.
- 该PSMI框架为评估和减轻Rrs不确定性提供了一个有价值的工具.
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