Microphytobenthos Biomass and Diversity ...
Document type :
Article dans une revue scientifique: Article original
DOI :
Title :
Microphytobenthos Biomass and Diversity Mapping at Different Spatial Scales with a Hyperspectral Optical Model
Author(s) :
Launeau, Patrick [Auteur]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Méléder, Vona [Auteur]
Verpoorter, Charles [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Barillé, Laurent [Auteur]
Kazemipour-Ricci, Farzaneh [Auteur]
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement [INRAE]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Giraud, Manuel [Auteur]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Jesus, Bruno [Auteur]
Le Menn, Erwan [Auteur]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Méléder, Vona [Auteur]
Verpoorter, Charles [Auteur]

Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Barillé, Laurent [Auteur]
Kazemipour-Ricci, Farzaneh [Auteur]
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement [INRAE]
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
Giraud, Manuel [Auteur]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Jesus, Bruno [Auteur]
Le Menn, Erwan [Auteur]
Laboratoire de Planétologie et Géosciences [UMR_C 6112] [LPG]
Journal title :
Remote Sensing
Pages :
716
Publisher :
MDPI
Publication date :
2018-05-06
ISSN :
2072-4292
English keyword(s) :
biofilm
diatom
hyperspectral
microphytobenthos
optical model
spatial scale
diatom
hyperspectral
microphytobenthos
optical model
spatial scale
HAL domain(s) :
Planète et Univers [physics]/Sciences de la Terre
English abstract : [en]
This work is an extension of the MicroPhytoBenthos Optical Model (MPBOM) workflow. The model was based on the observation that the biofilm itself has a negligible inherent reflectance and can be described solely by the ...
Show more >This work is an extension of the MicroPhytoBenthos Optical Model (MPBOM) workflow. The model was based on the observation that the biofilm itself has a negligible inherent reflectance and can be described solely by the ratio between its apparent reflectance (RA) and background reflectance (RB), allowing a straightforward calculation of the absorption coefficient (α). This coefficient is directly related to pigment concentrations estimated by High Performance Liquid Chromatography (HPLC). To run the model, assess and extend the use of α, the background contribution is a critical step. This work shows that: (i) indices based on reflectance and absorption coefficient spectra derived from the optical model correctly identified the main microphytobenthos (MPB) groups covering a pixel; (ii) contrary to the RA index each new α index was insensitive to biomass variations; (iii) for each MPB group there was a significant linear relation between the biomass estimated by HPLC and α peak at 673 nm; (iv) indices based on α spectra were almost insensitive to mixing constraints at a subpixel level. Knowing the background reflectance contribution of MPB biofilms, α can therefore be used to map MPB algal composition and biomass at any scale from MPB synthetized in laboratory to intertidal mudflat airborne observations.Show less >
Show more >This work is an extension of the MicroPhytoBenthos Optical Model (MPBOM) workflow. The model was based on the observation that the biofilm itself has a negligible inherent reflectance and can be described solely by the ratio between its apparent reflectance (RA) and background reflectance (RB), allowing a straightforward calculation of the absorption coefficient (α). This coefficient is directly related to pigment concentrations estimated by High Performance Liquid Chromatography (HPLC). To run the model, assess and extend the use of α, the background contribution is a critical step. This work shows that: (i) indices based on reflectance and absorption coefficient spectra derived from the optical model correctly identified the main microphytobenthos (MPB) groups covering a pixel; (ii) contrary to the RA index each new α index was insensitive to biomass variations; (iii) for each MPB group there was a significant linear relation between the biomass estimated by HPLC and α peak at 673 nm; (iv) indices based on α spectra were almost insensitive to mixing constraints at a subpixel level. Knowing the background reflectance contribution of MPB biofilms, α can therefore be used to map MPB algal composition and biomass at any scale from MPB synthetized in laboratory to intertidal mudflat airborne observations.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :
Files
- Open access
- Access the document
- document
- Open access
- Access the document
- remotesensing-10-00716.pdf
- Open access
- Access the document
- document
- Open access
- Access the document
- remotesensing-10-00716.pdf
- Open access
- Access the document