The fundamental components of a coral reef are coral, algae, and sand. At its simplest assessing the status of a coral reef may be reduced to quantifying the relative benthic cover of these three bottom-types. While in situ surveys can provide an accurate census on an individual reef scale (10s of meters), the only feasible method to surveys coral reefs on a reef tract (10-100s of kilometers) or worldwide scale is through the use of remote sensing. Remote sensing is a means of surveying entire ecosystems. A major issue in remote sensing of coastal environments is the confounding effects of the water column on the signal emerging from the water column. We used a simulation method to model differing levels of environmental parameters, which occur in marine ecosystems, with HydrolightEcolight 5. Simulated data were interpolated with actual bottom; type spectra to determine the accuracy of a classification function developed in MATLAB. The aim was to distinguish bottom-types as well as predict levels of water column parameters. The results of this study demonstrate that bottom-type (78% algae, 84% coral, and 94% sand) and chlorophyll concentration (85-90% across range) are well determined, while depth and suspended sediment load are not as well predicted (<70%) and has a tendency to slightly over predict depth.

Use of satellite imagery makes environmental monitoring easy and convenient with little of the logistics involved in planning sampling campaigns. Colored dissolved organic matter (CDOM) is an important component to track as a proxy for the large pool of dissolved organic carbon (DOC). In a world contending with the looming issue of global climate change, the ability to investigate the carbon cycle of inland to coastal environments allows for examination of the magnitude of carbon flowing through the system and potential changes over years. The Arctic region is a critical area for climate change impacts but is a difficult landscape for sampling implementation and is thus an excellent target for satellite monitoring. This thesis focuses on the North Slopes region of Alaska to take advantage of the Toolik Lake monitoring site. Landsat 8 imagery has the appropriate spatial, spectral, and temporal resolutions for use in inland water and coastal environments. There are numerous developed algorithms for CDOM estimations, but many algorithms are designed for specific regions. A special challenge in inland environments is the bottom reflectance contribution to the outgoing light signal. An algorithm designed specifically for optically-shallow water environments (SBOP) was tested against two algorithms designed for optically-deep water environments (QAA-CDOM, K05). The relationship between CDOM and DOC was also investigated and used as further validation for algorithm performance. The SBOP algorithm shows promise iv alongside QAA-CDOM at estimating CDOM absorption, but the number of validation point makes pinpointing one algorithm difficult. All algorithms performed well at estimating DOC concentrations.

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Cette étude a été motivée par la nécessité de pouvoir décrire la variabilité biogéochimique avec la même résolution que les paramètres physiques. Des profileurs optiques ont permis de mesurer à haute fréquence les propriétés optiques inhérentes dans la colonne d'eau. Par comparaison avec des données discrètes acquises simultanément à nos mesures, les coefficients optiques à des longueurs d'onde précises ont été convertis en grandeurs biogéochimiques quantitatives. Nous avons estimé la concentration en chlorophylle a et en carbone particulaire total ainsi que la répartition verticale de la matière organique dissoute colorée (CDOM). La nature qualitative du matériel particulaire et dissous a été abordée en combinant différents coefficients optiques ainsi qu'en analysant leur dépendance spectrale. En préalable aux campagnes dans l'Atlantique nord (campagnes POMME), une expérience en milieu contrôlé a été menée sur une population d'organismes phytoplanctoniques calcifiants (Emiliania huxleyi) afin de caractériser ses propriétés biooptiques ainsi que leurs modifications consécutives à une augmentation de la pCO2 atmosphérique du niveau actuel (360 ppm) au niveau prévu pour la fin du siècle (700 ppm). Lors des campagnes entre le Portugal continental et les Açores nous avons effectué le suivi biooptique de la variabilité à méso-échelle à trois périodes clés de l'année : fin de l'hiver, printemps et fin de l'été. L'observation à haute résolution de la colonne d'eau a permis de mettre en évidence certaines relations entre les caractéristiques hydrologiques et biogéochimiques. Le déploiement de nos instruments le long de radiales avec un système tracté autorisant une résolution de 2 milles (Tow-Yo) a conduit à préciser l'influence des structures tourbillonnaires de moyenne échelle.

The Belgian Coastal Zone (BCZ) in the Southern Bight of the North Sea is a highly dynamic and optically complex area. This is due to high non-algal particles (NAP) and coloured dissolved organic matter (CDOM) content which in spring adds together with undesirable blooms of the haptophyte Phaeocystis globosa. There is a need for improving the algorithms for chlorophyll a (chl a) retrieval in these highly turbid waters and for developing algorithms for species detection in order to attempt to create an early warning bloom system. This information will contribute to the knowledge of the extent and magnitude of the P. globosa bloom in Belgian waters. In this study, pure cultures of the main taxa present in the BCZ, diatoms and P. globosa, were combined with field measurements of light absorption of total particles, phytoplankton and dissolved material, pigment determination and phytoplankton counts to address the main objectives. Sampling was performed during 8 cruises covering winter, spring, summer and late summer, and along nearshore-offshore gradients from 2003 to 2006. <p>The area is characterised by a high spatio-temporal variability of IOPs due to the high dynamics of the area in terms of currents, salinity gradients and biological production. During spring the presence of P. globosa modulates the IOPs across all the area, the particle absorption is significantly higher than summer and there is no significant coast-offshore variability for phytoplankton and CDOM. <p>The design of chl a retrieval algorithms assumes negligible absorption of NAP and CDOM in the near infrared (NIR) and the use of a fixed value of specific phytoplankton absorption. It is shown that neglecting the NAP and CDOM absorption in the NIR will have a significant overestimation impact in retrieval of chl a. On the other hand, the specific phytoplankton absorption was found to be highly variable (0.015 „b 0.011 m2 mg chl a-1). Both results will affect directly the retrieved chl a. The spatial variability of CDOM was significant varying between 0.20-1.31 m-1 in the marine area and between 1.81-4.29 m-1 in the Scheldt estuary. CDOM was found to be related to salinity with conservative mixing within the Scheldt estuary and during some seasons in the BCZ, however deviations from conservative mixing suggest other inputs to the CDOM pool. Analyses of the spectral slope of the CDOM absorption curve revealed two main CDOM pools in the area, an allochthonous one delivered by the Scheldt estuary and an autochthonous one associated with the phytoplankton spring bloom decomposition. Algorithms for CDOM retrieval will be affected if the variability in the relation between CDOM and salinity is not taken into account. <p>The optical characterisation of diatoms and P. globosa from the BCZ in pure cultures revealed that the main differences in the phytoplankton absorption spectra were found at 467 and 500 nm corresponding to the absorption of the pigments chlorophyll c3 (chl c3) characteristic of P. globosa and fucoxanthin, respectively. Accordingly, both the absorption at 467 nm and the ratio 500/467 nm were successfully used to discriminate the two taxa in cultures and field samples. This latter indicator was not preserved in the reflectance signal due to degradation of the signal when passing from absorption to reflectance, and thus could not be used for algorithm development. The spectral feature at 467 nm was later used as the basis for the development of a flag-type algorithm to detect chl c3 using either absorption or water-leaving reflectance data. Also, the correlation between the algorithm¡¦s retrieved chl c3 and P. globosa cell number allowed the quantification of the bloom. The main findings of this thesis highlight the importance of the IOPs characterisation for the improvement and development of ocean colour retrieval algorithms in these highly complex waters.<p> / Doctorat en Sciences / info:eu-repo/semantics/nonPublished