Next Article in Journal
Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode
Previous Article in Journal
3D Geostrophy and Volume Transport in the Southern Ocean
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle

Microphytobenthos Biomass and Diversity Mapping at Different Spatial Scales with a Hyperspectral Optical Model

1
Université de Nantes, Laboratoire de Planétologie et Géodynamique (UMR 6112, CNRS), Faculté des Sciences et des Techniques, BP 92208, 44322 Nantes CEDEX 3, France
2
Université de Nantes, Mer Molécules Santé (EA 2160), Faculté des Sciences et des Techniques, BP 92208, 44322 Nantes CEDEX 3, France
3
Université Littoral Côte d’Opale, Université de Lille, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France
4
Terres Inovia, 1 rue des Coulots 21110 Bretenière, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 716; https://doi.org/10.3390/rs10050716
Received: 13 March 2018 / Revised: 20 April 2018 / Accepted: 3 May 2018 / Published: 6 May 2018
  |  
PDF [7166 KB, uploaded 6 May 2018]
  |  

Abstract

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. View Full-Text
Keywords: biofilm; diatom; hyperspectral; microphytobenthos; optical model; spatial scale biofilm; diatom; hyperspectral; microphytobenthos; optical model; spatial scale
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Launeau, P.; Méléder, V.; Verpoorter, C.; Barillé, L.; Kazemipour-Ricci, F.; Giraud, M.; Jesus, B.; Le Menn, E. Microphytobenthos Biomass and Diversity Mapping at Different Spatial Scales with a Hyperspectral Optical Model. Remote Sens. 2018, 10, 716.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top