Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters.


Journal

Optics express
ISSN: 1094-4087
Titre abrégé: Opt Express
Pays: United States
ID NLM: 101137103

Informations de publication

Date de publication:
15 Apr 2019
Historique:
entrez: 5 5 2019
pubmed: 6 5 2019
medline: 6 5 2019
Statut: ppublish

Résumé

The estimation of the bathymetry and the detection of targets located on the seabed of shallow waters using remote sensing techniques is of great interest for many environmental applications in coastal areas such as benthic habitat mapping, monitoring of seabed aquatic plants and the subsequent management of littoral zones. For that purpose, knowledge of the optical effects induced by the neighborhood of a given seabed target and by the water column itself is required to better interpret the subsurface upward radiance measured by satellite or shipborne radiometers. In this paper, the various sources of photons that contribute to the subsurface upward radiance are analyzed. In particular, the adjacency effects caused by the neighborhood of a given seabed target are quantified for three water turbidity conditions, namely clear, moderately turbid and turbid waters. Firstly, an analytical expression of the subsurface radiance is proposed in order to make explicit the radiance terms corresponding to these effects. Secondly, a sensitivity study is performed using radiative transfer modeling to determine the influence of the seabed adjacency effects on the upward signal with respect to various parameters such as the bathymetry or the bottom brightness. The results show that the highest contributions of the adjacency effects induced by the neighborhood of a seabed target to the subsurface radiance could reach 26%, 18% and 9% for clear, moderately turbid and turbid water conditions respectively. Therefore, the detection of a seabed target could be significantly biased if the seabed adjacency effects are ignored in the analysis of remote sensing measurements. Our results could be further used to improve the performance of inverse algorithms dedicated to the retrieval of bottom composition, water optical properties and/or bathymetry.

Identifiants

pubmed: 31052885
pii: 407490
doi: 10.1364/OE.27.00A319
doi:

Types de publication

Journal Article

Langues

eng

Pagination

A319-A338

Auteurs

Classifications MeSH