AI Article Synopsis
- Water-leaving radiance varies with water depth, influenced by the optical properties of constituents within the water.
- The study uses remote-sensing reflectance to create a model of apparent particle concentration for a uniform water column, allowing for analysis of vertical profiles of constituents.
- Retrieval accuracy for these profiles is high when maximum concentrations are near the surface or when background levels are low, while performance decreases when maximum concentrations are deeper or when background levels are higher.
Article Abstract
Water-leaving radiance is subject to depth variability of the water constituents. The optical penetration depth is strongly dependent on the wavelength λ, which allows to retrieve a non-uniform vertical profile of an optically-active constituent CTSM(z) from remote-sensing reflectance Rrs(λ,Cz). We define the apparent particle concentration CTSM,app(λ) of a vertically homogeneous water column whose Rrs(λ,Cconst) matches Rrs(λ,Cz). Subsequently, we define a vertically-weighted averaged particle concentration CTSM,ave(λ), only dependent on CTSM(z), and retrieve CTSM(z) by minimizing the error between CTSM,app(λ) and CTSM,ave(λ) with genetic algorithms. We conclude that the retrieval is excellent if the sub-surface maximum lays close to the surface or the background concentration of CTSM(z) is low. Conversely, results worsen for opposite conditions, due to insufficient signal strength from superimposed sub-surface maxima.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OE.22.00A947 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!