We present the “QAA-RGB”, a semianalytical algorithm that retrieves total absorption, particle backscattering, as well as the diffuse attenuation coefficient and the Secchi disk depth, from eighteen metre and decametre satellite sensors, including present and heritage Landsat's data, Sentinel 2 at 10 m and an array of commercial satellites such as PlanetScope, Pléiades and Worldview. The QAA-RGB is a minimal version of the Quasi-Analytical Algorithm (QAA), and therefore keeps its robustness and general validity across different water types. It ingests remote-sensing reflectance at only three bands, centred on red, green and blue wavelengths. Retrievals of non-water absorption at 555 nm (a_nw(555)) are satisfactory, with a standard deviation of σ ~ 50% up to a_nw(555) < 2 m⁻¹, based on in situ datasets. Careful calibration results in unbiased retrievals across all sensors. Validation to independent in situ data is also provided. The QAA-RGB has been implemented in the ACOLITE generic processor, and is openly accessible to the community. Consistency of near-coincident observations from different satellite sensors is demonstrated.

我们提出了“QAA-RGB”，这是一种半分析算法，可从十八米和十米的卫星传感器中检索总吸收、粒子背向散射以及漫衰减系数和 Secchi 盘深度，包括当前和传统的 Landsat 数据，哨兵 2 10 m 和一系列商业卫星，如 PlanetScope、Pléiades 和 Worldview。QAA-RGB 是准分析算法 (QAA) 的最小版本，因此在不同的水类型中保持其稳健性和一般有效性。它仅在三个波段吸收遥感反射，以红色、绿色和蓝色波长为中心。在 555 nm (a _nw (555))处的非吸水率的检索是令人满意的，标准偏差为 σ ~ 50%，直到_nw (555) < 2 m^-1，基于原位数据集。仔细校准会导致所有传感器的无偏检索。还提供了对独立原位数据的验证。QAA-RGB 已在 ACOLITE 通用处理器中实现，社区可公开访问。证明了来自不同卫星传感器的近乎一致的观测结果的一致性。