Orientador: Francisco Sekiguchi de Carvalho e Buchmann / Resumo: Estuários são ambientes heterogêneos, altamente complexos, e condicionados por diversos fatores ambientais. Nenhum estuário é igual a outro, e é esta diversidade que os torna tão importantes do ponto de vista da conservação. A grande quantidade de recursos naturais disponíveis nesses ambientes favorece o desenvolvimento de assentamentos urbanos nas suas margens, podendo comprometer o equilíbrio natural. A partir do conhecimento detalhado dos sistemas estuarinos é possível traçar metas assertivas para a conservação e gestão destes ambientes tão singulares. O presente estudo visa a caracterização e comparação dos estuários dos rios Itaguaré e Guaratuba (Bertioga, SP) quanto aos seus parâmetros geo-físico-químicos. A área de estudo está localizada na planície costeira da Bacia Hidrográfica da Baixada Santista e inserida no Parque Estadual Restinga de Bertioga. Foram realizados levantamentos semestrais de batimetria e imageamento com sonar de varredura lateral, com o intuito de conhecer as profundidades e feições de fundo dos estuários, avaliando a dinâmica de processos erosivos e deposicionais. Medições mensais de salinidade, temperatura e turbidez foram realizadas ao longo de um ano, visando avaliar o comportamento sazonal da intrusão salina e da zona de máxima turbidez. Para verificar variações na granulometria, foram coletadas amostras de sedimentos nos mesmos pontos de medição das variáveis físico-químicas da água. Os resultados foram avaliados de forma integrada, utilizando... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Estuaries are highly complex heterogeneous environments, conditioned by different environmental factors. Every estuary has particular characteristics, and this diversity makes them so important for conservation. The great amount of available natural resources in these environments contributes to urban settlement developments on their surroundings, which may compromise their natural balance. Detailed knowledge of estuarine systems helps establish assertive goals for the conservation and management of these unique environments. This study aims to characterize and compare Itaguaré and Guaratuba estuaries (Bertioga, SP) regarding their geophysical-chemical characteristics. The study area is located on the Baixada Santista Basin’s coastal plain, and inserted in the Restinga of Bertioga State Park. Biannual bathymetry and side scan sonar surveys were carried in order to evaluate erosive and depositional processes affecting depths and bottom features of the estuaries. Salinity, temperature and turbidity measurements were carried out monthly over a period of one year to evaluate seasonal behavior of saline intrusion and the estuarine turbidity maximum. Sediment samples were collected in order to verify granulometry variations. Results were evaluated in an integrated manner, using geoprocessing and spatial analysis techniques, coupled with secondary data of mareography and precipitation, analyzing the influence of meteoceanographic factors in the water column and the background config... (Complete abstract click electronic access below) / Mestre

Madagascar, a country whose extraordinary levels of endemism and biodiversity are celebrated globally by scientists and laymen alike, yet historically has received surprisingly little research attention, is the setting of the present dissertation. Here, I contribute to the need for applied research by: 1) focusing on the most intensely fished section of the Toliara Barrier Reef, the Bay of Ranobe; 2) characterizing the marine environment, the human population, and the fisheries; and 3) collecting the longest known time-series of data on fisheries of Madagascar, thereby providing a useful baseline for future analyses. In Chapter 1, the bathymetry of the Bay was characterized following a unique application of the boosted regression tree classifier to the RGB bands of IKONOS imagery. Derivation of water depths, based on DOS-corrected images, following a generic, log-transformed multiple linear regression approach produced a predictive accuracy of 1.28 m, whereas model fitting performed using the boosted regression tree classifier, allowing for interaction effects (tree complexity= 2), provided increased accuracy (RMSE= 1.01 m). Estimates of human population abundance, distribution, and dynamics were obtained following a dwelling-unit enumeration approach, using IKONOS Panchromatic and Google Earth images. Results indicated, in 2016, 31,850 people lived within 1 km of the shore, and 28,046 people lived within the 12 coastal villages of the Bay. Localized population growth rates within the villages, where birth rates and migration are combined, ranged from 2.96% - 6.83%, greatly exceeding official estimates of 2.78%. Annual pirogue counts demonstrated a shift in fishing effort from south to the north. Gear and boat (pirogue) profiles were developed, and the theoretical maximum number of fishermen predicted (n= 4,820), in 2013, from a regression model based on pirogue lengths (R2= 0.49). Spatial fishing effort distribution was mapped following a satellite-based enumeration of fishers-at-sea, resulting in a bay-wide estimate of intensity equaling 33.3 pirogue-meters km-2. Landings and CPUE were characterized, with respect to finfish, by family, species, gear, and village. Expansion of landings to bay-wide fisheries yields indicated 1,885.8 mt year-1 of mixed fisheries productivity, with an estimated wholesale value of 1.64 million USD per annum.

Les tourbières ont accumulé des quantités importantes de matière organique (tourbe) depuis le début de l’Holocène. La tourbe séquestre des quantités de carbone (C), d’azote (N) et de phosphore (P) substantielles à l’échelle globale. Cependant, très peu d’études ont estimé les stocks de ces nutriments à l’échelle régionale. De plus, les estimations actuelles sont souvent obtenues sans considérer la variabilité des profondeurs de tourbe et les variables biophysiques et physiques qui dictent la capacité de stockage en nutriments. Ce mémoire vise à estimer les stocks en C, N et P des tourbières d’une région du sud du Québec en modélisant les variations de profondeurs de tourbe et en identifiant quelles variables biophysiques et physiques expliquent la capacité de stockage en nutriments des différents types de tourbières. Le sondage manuel des sites d’études a révélé des différences significatives de profondeurs de tourbe entre les types de tourbières. La profondeur moyenne de tourbe obtenue pour les tourbières ombrotrophes était de 4,4 m alors que celles des tourbières minérotrophes et forestières étaient respectivement de 2,3 et 2,0 m. Les profondeurs ont été modélisées par interpolation spatiale pour chaque bassin d’accumulation de tourbe. La relation entre la superficie des tourbières et les stocks en C était significativement différente entre les tourbières ombrotrophes et les tourbières minérotrophes et forestières. Aucune variable étudiée ne permettait de discriminer les stocks en N et P selon le type de tourbière. Les stocks en C, N et P de la tourbe ont été extrapolés pour la région en utilisant la superficie des tourbières et estimés à 5,65 Tg C, 230,5 Gg N et 21,8 Gg P. Mes travaux ont démontré que l’hétérogénéité du bassin d’accumulation et les caractéristiques de surface influencent les stocks en C, N et P contenus dans la tourbe. / Peatlands have accumulated important amounts of organic matter since the beginning of the Holocene. This organic matter accumulation is described as peat, that globally stores large amounts of carbon (C), nitrogen (N), and phosphorus (P). Regional estimations of C and nutrients stocks have seldom been quantified. Moreover, peat depth variability and biophysical and physical variables are often not included in actual peat C, N, and P pool size estimations. The goal of this thesis is to provide an estimation of peat C, N, and P pool sizes for a regional county of southern Quebec by modeling peat depth variations and by using biophysical and physical variables to discriminated peat C, N, and P storage among peatland types. Manual peat depth probing showed significant differences in peat depth among peatland types. Mean peat depth of bogs was 4.4 m, while fens and forested peatlands mean peat depths were of 2.3 and 2.0 m, respectively. Modeling of peat accumulation basin by spatial interpolation took these peat depth variations into account, among peatland types. The relationship between peatland area and peat C stocks was statistically different between bogs and fens, and bogs and forested peatlands. Peat N and P content among peatland types were not discriminated by the biophysical and physical variables considered in this study. Peat C, N, and P stocks were extrapolated within the study region using peatland area and estimated at 5.65 Tg C, 230.5 Gg N et 21.8 Gg P. This study has shown that peat accumulation basin heterogeneity and peatland geometric shape influenced peat C, N, and P stocks at the regional scale.

<p>Topography is one of the primary drivers of physical processes in the rivers and floodplains. Advances in remote-sensing and survey techniques have provided high-resolution representation of the floodplains but information regarding the 3D representation of river channels (commonly known as river bathymetry) is sparsely available. Field surveys along an entire river network in a watershed remains infeasible and algorithms for estimating simple but effective characterization of river channel geometry are hindered by an incomplete understanding of the role of river bathymetry in surface and subsurface processes. </p> <p> The first objective of this dissertation develops an automated framework – System for Producing RIver Network Geometry (SPRING) for improving the geospatial descriptors of a river network. The tool takes as input the DEM and erroneous river centerline to produce spatially consistent river centerlines, banks, and an improved representation of river channel geometry. SPRING can process entire river networks and is not limited single reach applications. The proposed framework is flexible in terms of data requirements, resolution of output datasets and user preferences. It has a user-friendly graphic user interface (GUI) and is appropriate for large-scale applications since it requires minimal user input.</p> <p> A better understanding of the role of bathymetric characteristics in surface-subsurface hydrology and hydrodynamics can facilitate an efficient incorporation of river bathymetry in large river networks. The second objective explores the level of bathymetric detail required for accurately simulating surface and subsurface processes by developing four bathymetric representations using SPRING with reducing level of detail. These bathymetric configurations are simulated using a physically based tightly coupled hydrologic and hydrodynamic model to estimate surface and subsurface fluxes in the floodplains. Comparison of fluxes for the four bathymetric configurations show that the impact of river bathymetry extends beyond surface routing to surface water – groundwater interactions. Channel conveyance capacity and thalweg elevation are the most important characteristics controlling these interactions followed by channel side slope and channel asymmetry. </p> <p> The final objective aims to develop benchmarks for bathymetric characteristics for accurately simulating flooding related physical processes. The sensitivity of surface and subsurface fluxes to error in channel conveyance capacity is investigated across reaches with varying geomorphological characteristics. SPRING is used to create six bathymetric configurations with varying range of error in channel conveyance capacity (ranging from 25% to 300%). They are simulated using a tightly coupled physically distributed model for a flood event and the estimates of water surface elevation, infiltration and lateral seepage are compared. Results show that incorporating channel conveyance capacity with an error of within 25% significantly improves the estimates of surface and subsurface fluxes as compared to those not having any bathymetric correction. For certain reaches, such as those with high drainage area (>1000km²) or low sinuosity (< 1.25), errors of up to 100% in channel conveyance capacity can still improve H&H modeling.</p>

Airborne Laserbathymetrie stellt eine effiziente und flächenhafte Messmethode für die Erfassung der sich ständig im Wandel befindlichen Gewässersohlen von Inlandgewässern und küstennahen Flachwasserbereichen dar. Bei diesem Verfahren wird ein kurzer grüner Laserpuls ausgesandt, welcher mit allen Objekten entlang des Laserpulspfades interagiert (z.B. Wasseroberfläche und Gewässerboden). Die zum Sensor zurückgestreuten Laserpulsanteile (Echos) werden in einem zeitlich hochaufgelösten Messsignal (Full-Waveform) digitalisiert und gespeichert. Allerdings ist das Messverfahren aufgrund von Gewässertrübung in seiner Eindringtiefe in den Wasserkörper limitiert. Die Gewässerbodenechos werden bei zunehmender Gewässertiefe schwächer, bis sie nicht mehr zuverlässig detektierbar sind. Diese Arbeit zeigt, wie mit neuartigen Methoden schwache Gewässerbodenechos in Full-Waveforms detektiert werden können, welche durch die Standardauswerteverfahren nicht mehr berücksichtigt werden. Im Kernstück der Arbeit werden zwei Verfahren vorgestellt, die auf einer gemeinsamen Auswertung dicht benachbarter Messdaten basieren. Unter der Annahme eines stetigen Gewässerbodens mit geringer bis moderater Geländeneigung führt die Zusammenfassung mehrerer Full-Waveforms zu einer Verbesserung des Signal/Rausch-Verhältnisses und einer Verstärkung von schwachen Gewässerbodenechos, welche folglich zuverlässiger detektiert werden können. Die Ergebnisse zeigen eine erhebliche Erhöhung der auswertbaren Gewässertiefe (bis zu +30 %), wodurch eine deutlich größere Fläche des Gewässerbodens abgedeckt werden konnte (Flächenzuwachs von bis zu +113 %). In umfassenden Analysen der Ergebnisse konnte nachgewiesen werden, dass die hinzugewonnenen Gewässerbodenpunkte eine gute Repräsentation des Gewässerbodens darstellen. Somit leisten die in dieser Arbeit entwickelten Verfahren einen wertvollen Beitrag zur Steigerung der eingangs beschriebenen Effizienz der Airborne Laserbathymetrie.:Kurzfassung Abstract 1 Einleitung 1.1 Motivation 1.2 Ziele der Dissertation 1.3 Aufbau der Arbeit 2 Einführung in bathymetrische Messverfahren 2.1 Hydrographie und Bathymetrie 2.2 Airborne LiDAR Bathymetrie 2.2.1 Grundlagen Airborne Laserscanning 2.2.2 Der Pfad des Laserpulses 2.2.3 Fehlereinflüsse 2.3 Die Full-Waveform 2.3.1 Aufbau und Merkmale einer Full-Waveform 2.3.2 Systemwaveform 2.3.3 Full-Waveform Auswerteverfahren 2.4 Hydroakustische Messverfahren 2.4.1 Messprinzip 2.4.2 Echolot Varianten 2.4.3 Fehlereinflüsse 3 Nichtlineare Full-Waveform Stacking-Verfahren zur Detektion und Extraktion von Gewässerbodenpunkten – Beitrag 1, Beitrag 2, Beitrag 3 3.1 Signalbasiertes nichtlineares Full-Waveform Stacking 3.2 Volumetrisches nichtlineares Ortho-Full-Waveform Stacking 4 Anwendung von nichtlinearen Full-Waveform Stacking-Methoden auf maritime Gewässer – Beitrag 4 4.1 Studiengebiet in der Nordsee 4.2 Datengrundlage 4.3 Erste Ergebnisse einer Pilotstudie in küstennahen Bereichen der Nordsee 4.4 Untersuchungsgebiet 4.5 Klassifikation der Wasseroberflächenpunkte 4.6 Visualisierung der Ergebnisse 4.7 Genauigkeit und Zuverlässigkeit 4.8 Mehrwert der Verfahren 5 Potential der Full-Waveform Stacking-Methoden zur Ableitung der Gewässertrübung – Beitrag 5 6 Diskussion und weiterführende Arbeiten 6.1 Geometrische Modellierung der Laserpulsausbreitung 6.2 Einfluss der Gewässereigenschaften auf die Gewässerbodenbestimmung 6.3 Unterschätzung der Wasseroberfläche 6.4 Nutzung von Gewässertrübungsinformation für die Beurteilung der Zuverlässigkeit der Gewässertiefenbestimmung 6.5 Auswirkung der Nachbarschaftsdefinition beim signalbasiertem Full-Waveform Stacking 6.6 Gegenüberstellung signalbasiertes und volumetrisches Full-Waveform Stacking 6.7 Erweiterung des Full-Waveform Stackings mit dem Multi-Layer-Ansatz 7 Fazit der Dissertation 7.1 Zusammenfassung 7.2 Einordnung der Dissertation 7.3 Mehrwert der Dissertation Literaturverzeichnis Abbildungsverzeichnis Tabellenverzeichnis Symbolverzeichnis Abkürzungsverzeichnis / Airborne laser bathymetry is an efficient and area-wide measurement method for the detection of the permanently changing water bottoms of inland waters and shallow water areas close to the coast. In this method, a short green laser pulse is emitted, which interacts with all objects along the laser pulse path (e.g. water surface and bottom). The backscattered laser pulse components (echoes) are digitized and stored in a high temporal resolution measurement signal (full-waveform). However, the measurement method is limited in its penetration depth into the water body due to water turbidity. The water bottom echoes become weaker as the water depth increases until they are no longer reliably detectable. This work shows how novel methods can be used to detect weak water bottom echoes in full-waveforms that are no longer accounted for by standard processing methods. In the core of the work, two methods are presented which are based on a joint evaluation of closely adjacent measurement data. Under the assumption of a steady water bottom with low to moderate slope, the combination of several full-waveforms leads to an improvement of the signal-to-noise ratio and an enhancement of weak water bottom echoes, which consequently can be detected more reliably. The results show a significant increase in the analyzable water depth (up to +30 %), allowing a much larger area of the water bottom to be covered (increase up to +113 %). Comprehensive analyses of the results proved that the added water bottom points are a good representation of the water bottom. Thus, the methods developed in this work constitute a valuable contribution to increase the efficiency of airborne laser bathymetry described at the beginning.:Kurzfassung Abstract 1 Einleitung 1.1 Motivation 1.2 Ziele der Dissertation 1.3 Aufbau der Arbeit 2 Einführung in bathymetrische Messverfahren 2.1 Hydrographie und Bathymetrie 2.2 Airborne LiDAR Bathymetrie 2.2.1 Grundlagen Airborne Laserscanning 2.2.2 Der Pfad des Laserpulses 2.2.3 Fehlereinflüsse 2.3 Die Full-Waveform 2.3.1 Aufbau und Merkmale einer Full-Waveform 2.3.2 Systemwaveform 2.3.3 Full-Waveform Auswerteverfahren 2.4 Hydroakustische Messverfahren 2.4.1 Messprinzip 2.4.2 Echolot Varianten 2.4.3 Fehlereinflüsse 3 Nichtlineare Full-Waveform Stacking-Verfahren zur Detektion und Extraktion von Gewässerbodenpunkten – Beitrag 1, Beitrag 2, Beitrag 3 3.1 Signalbasiertes nichtlineares Full-Waveform Stacking 3.2 Volumetrisches nichtlineares Ortho-Full-Waveform Stacking 4 Anwendung von nichtlinearen Full-Waveform Stacking-Methoden auf maritime Gewässer – Beitrag 4 4.1 Studiengebiet in der Nordsee 4.2 Datengrundlage 4.3 Erste Ergebnisse einer Pilotstudie in küstennahen Bereichen der Nordsee 4.4 Untersuchungsgebiet 4.5 Klassifikation der Wasseroberflächenpunkte 4.6 Visualisierung der Ergebnisse 4.7 Genauigkeit und Zuverlässigkeit 4.8 Mehrwert der Verfahren 5 Potential der Full-Waveform Stacking-Methoden zur Ableitung der Gewässertrübung – Beitrag 5 6 Diskussion und weiterführende Arbeiten 6.1 Geometrische Modellierung der Laserpulsausbreitung 6.2 Einfluss der Gewässereigenschaften auf die Gewässerbodenbestimmung 6.3 Unterschätzung der Wasseroberfläche 6.4 Nutzung von Gewässertrübungsinformation für die Beurteilung der Zuverlässigkeit der Gewässertiefenbestimmung 6.5 Auswirkung der Nachbarschaftsdefinition beim signalbasiertem Full-Waveform Stacking 6.6 Gegenüberstellung signalbasiertes und volumetrisches Full-Waveform Stacking 6.7 Erweiterung des Full-Waveform Stackings mit dem Multi-Layer-Ansatz 7 Fazit der Dissertation 7.1 Zusammenfassung 7.2 Einordnung der Dissertation 7.3 Mehrwert der Dissertation Literaturverzeichnis Abbildungsverzeichnis Tabellenverzeichnis Symbolverzeichnis Abkürzungsverzeichnis

Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. Using high-resolution images collected by unmanned aerial vehicles (UAV) and their multispectral mapping data, this paper investigated bathymetry retrieval model in shallow water areas to help improve the habitat detection accuracy. While previous studies have found some success with shallow water bathymetry inversion on satellite imagery, accurate centimeter-level water depth regression from high-resolution, drone multispectral imagery still remains a challenge. Unlike previous retrieval methods generally relying on retrieval factor extraction and linear regression, this thesis introduced CNN methods, considering the nonlinear relationship between image pixel reflectance values and water depth. In order to look into CNN’s potential to retrieve shallow water depths from multispectral images captured by a drone, this thesis conducts a variety of case studies to respectively specify a proper CNN architecture, compare its performance in different datasets, band combinations, depth ranges and with other general bathymetry retrieval algorithms. In summary, the CNN-based model achieves the best regression accuracy of overall root mean square error lower than 0.5, in comparison with another machine learning algorithm, random forest, and 2 other semi-empirical methods, linear and ratio model, suggesting this thesis’s practical significance. / Aedes aegypti och Aedes albopictus är de viktigaste vektorarterna för dengue och zika, två arbovirus som drabbar en stor del av den globala befolkningen. Dessa myggor förökar sig i mycket långsamt rörliga eller stillastående vattensamlingar, så att upptäcka och hantera dessa potentiella förökningsmiljöer är ett avgörande steg för att förhindra spridningen av dessa sjukdomar. Med hjälp av högupplösta bilder som samlats in av obemannade flygfarkoster (UAV) och deras multispektrala kartläggningsdata undersöktes i den här artikeln en modell för att hämta batymetri i grunda vattenområden för att förbättra noggrannheten i upptäckten av livsmiljöer. Även om tidigare studier har haft viss framgång med inversion av bathymetri på grunt vatten med hjälp av satellitbilder, är det fortfarande en utmaning att göra en exakt regression av vattendjupet på centimeternivå från högupplösta, multispektrala bilder från drönare. Till skillnad från tidigare metoder som i allmänhet bygger på extrahering av återvinningsfaktorer och linjär regression, infördes i denna avhandling CNN-metoder som tar hänsyn till det icke-linjära förhållandet mellan bildpixlarnas reflektionsvärden och vattendjupet. För att undersöka CNN:s potential att hämta grunda vattendjup från multispektrala bilder som tagits av en drönare genomförs i denna avhandling en rad fallstudier för att specificera en lämplig CNN-arkitektur, jämföra dess prestanda i olika datamängder, bandkombinationer, djupintervall och med andra allmänna algoritmer för att hämta batymetri. Sammanfattningsvis uppnår den CNN-baserade modellen den bästa regressionsnoggrannheten med ett totalt medelkvadratfel som är lägre än 0,5, i jämförelse med en annan maskininlärningsalgoritm, random forest, och två andra halvempiriska metoder, linjär och kvotmodell, vilket tyder på den praktiska betydelsen av denna avhandling.

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Les marges continentales, passives ou actives, sont la principale voie de transfert sédimentaire entre le plateau continental et le bassin océanique profond et les plaines abyssales. Les pentes continentales sont le siège de processus d’érosion/dépôt sous le contrôle de transfert de flux particulaires continentaux chenalisés par des structures érosives, telles que les canyons sous‐marins, puis redistribues à l’ensemble de la marge. Les canyons érodent fortement les pentes continentales et contribuent à l’évolution de leur morphologie au cours du temps. On retrouve cependant des canyons sous‐marins qui ne sont pas en relation avec la présence d’un réseau fluviatile. De ce fait, la formation et l’évolution des canyons sous‐marins sont encore peu comprises. Ce travail de thèse s’intéresse aux processus de formation et d’évolution de six canyons sous-marins sur la Marge Ouest du Bassin Ligure et à dix systèmes de canyons sur la Marge Calabro-Ionienne. Le but de cette étude est de contraindre les principales caractéristiques morphométriques (longueur, largeur, profondeur, inclinaison, sinuosité), morphologique (éléments architecturaux, configuration) des canyons, de caractériser leur évolution amont‐aval et d’analyser leur structure interne, afin de mieux comprendre l’origine des canyons sous‐marins, leurs mécanismes de construction et leur évolution au cours du temps en relation avec le contexte géologique régional et leurs potentiels bassins versants subaérien. Pour cela, une approche basée sur une analyse morpho-bathymétrique et géophysiques a été mise en œuvre à partir de relevés bathymétriques complets des marges, de profils de sismiques, de Chirp et de SAR. / Sediment transfer from the continental shelf to the deep basin is of great interest as it partially controls the morphological and architectural evolution of continental margins. Transfer of particles on the continental slope associates with processes of erosion and deposition that control the construction of typical features such as submarine canyons. Because they strongly erode the continental slope, canyons contribute significantly to its morphological evolution through time. However, a number of studies have evidenced submarine canyons that do not connect with sub‐aerial channelized systems, questioning their processes of formation and evolution. This study aims to better understand the processes of formation and evolution of six submarine canyons identified on the western margin of the Ligurian Basin and ten canyons systems on the Calabro-Ionian margin. From morphometric and structural analyses based respectively on bathymetric, seismic‐reflexion (24‐channel profiles) data, Chirp and SAR profiles we constrained the main morphometric characteristics (length, width, depth, slope gradient, sinuosity index), morphologic (architectural elements and configuration) of canyons, their downward evolution and we analyzed their internal structure in order to better understand their origin, construction mechanisms and evolution in relation with the regional geological context and their potentials subaerial systems.

Le bassin Ionien, en Méditerranée centrale, abrite une zone de subduction à vergence Nord-Ouest où la plaque Afrique plonge sous les blocs Calabro-Péloritain au Nord-Est de la Sicile. Cette subduction résulte de la lente convergence entre les plaques tectoniques Afrique et Eurasiatique. Bien que de nombreuses campagnes d’exploration scientifique ont été menées dans cette zone particulière, plusieurs questions géodynamiques restent débattues. Tout d’abord la croûte pavant le bassin Ionien pourrait être soit de nature continentale amincie et représenter une extension de la plaque Afrique, soit océanique (Néo-Téthys) faisant de ce bassin l’un des plus anciens domaines océaniques au monde. L’escarpement de Malte représente un vestige de l’ouverture du bassin, mais les mécanismes de rifting et notamment la géométrie d’ouverture du bassin restent débattus. Cette subduction est en retrait vers le Sud-Est depuis les derniers 35 Ma, mais est aujourd’hui confinée à l’étroit bassin Ionien. Afin d’accommoder ce retrait de la plaque plongeante dans le bassin, une grande faille de déchirure lithosphérique de bord de subduction (STEP fault en anglais pour « subduction Transform Edge Propagator ») doit se propager le long de la marge Est-Sicilienne. Cependant, sa position en surface reste difficile à déterminer dans l’épais prisme d’accrétion recouvrant le bassin. Ces questions ont été explorées par modélisation des données de sismique grand angle de la campagne DIONYSUS (Octobre 2014, R/V Meteor) le long de deux profils perpendiculaires à la marge Est-Sicilienne. Des modélisations gravimétriques en 3D ont aussi été réalisées dans le but de localiser la plaque plongeante en profondeur sous les blocs Calabro-Péloritains. La sismicité des trois structures majeures du bassin : l’escarpement de Malte, l’AFS (Alfeo Fault System), et l’IFS (Ionian Fault System) a permis d’étudier leurs activités à l’actuel. Les résultats obtenus permettent d’observer une croûte océanique au fond du bassin. La structure profonde de l’escarpement de Malte est observée comme une zone d’amincissement crustal abrupt, ce qui est caractéristique des marges transformantes. Un profond bassin sédimentaire asymétrique (11 km) est observé au Sud du détroit de Messine. Il s’est probablement ouvert récemment entre les blocs continentaux Péloritain et Calabre. Dans le lobe Ouest du prisme d’accrétion Calabrais, le modèle de vitesse permet d’observer l’indentation du prisme clastique interne dans le prisme évaporitique externe. Des modélisations analogiques utilisant sable et silicone ont permis de démontrer la récente activité de ce lobe. L’interprétation des modèles de vitesse permet de localiser la faille STEP le long de l’AFS sur les deux profils. / In the Ionian Sea (central Mediterranean) the slow convergence between Africa and Eurasia results in the formation of a narrow subduction zone. The nature of the crust of the subducting plate remains debated and could represent the last remnants of the Neo-Tethys ocean. The origin of the Ionian basin is also under discussion, especially concerning the rifting mechanisms as the Malta Escarpment could represent a remnant of this opening. This subduction retreats toward the south-east (motion occurring since the last 35 Ma) but is confined to the narrow Ionian basin. A major lateral slab tear fault is required to accommodate the slab rollback.This fault is thought to propagate along the eastern Sicily margin but its precise location remains controversial.This PhD project focussed on the deep sedimentary and crustal structures of the eastern Sicily margin and the Malta Escarpment (ME). Two two-dimensional P wave velocity models were modelled by forward Modelling of wide-angle seismic data, acquired onboard the R/V Meteor during the DIONYSUS cruise in 2014.A 3D gravity model of the region was also performed to constrain the depth of the subducting slab bellow the Calabro-Peloritan backstops. The seismicity of the three structures identified in the velocity models (ME, Alfeo fault System, Ionian Fault System) permits to study their recent activity. The results image an oceanic crust within the Ionian basin as well as the deep structure of the Malta Escarpment, which presents characteristics of a transform margin. A deep and asymmetrical sedimentary basin is imaged south of the Messina strait and seems to have opened between the Calabrian and Peloritan continental terranes. In the western lobe of the Calabrian accretionary prism, the southern velocity model allows to observe the indentation of the internal clastic wedge into the external evaporitic wedge, thus showing the recent activity of this lobe. The interpretation of the velocity models suggests that the major STEP fault is located east of the Malta Escarpment, along the Alfeo Fault System.

Cette thèse présente une plateforme d'assimilation de données issues de l'imagerie vidéo et intégrée au modèle numérique d'évolution de profil de plage 1DBEACH. Le manque de jeux de données bathymétriques haute-fréquence est un des problèmes récurrents pour la modélisation morphodynamique littorale. Pourtant, des relevés topographiques réguliers sont nécessaires non seulement pour la validation de nos modèles hydro-sédimentaires mais aussi dans une perspective de prévision d'évolution morphologique de nos plages sableuses et d'évolution de la dynamique des courants de baïnes en temps réel. Les récents progrès dans le domaine de l'imagerie vidéo littorale ont permis d'envisager un moyen de suivi morphologique quasi-quotidien et bien moins coûteux que les traditionnelles campagnes de mesure. En effet, les images dérivées de la vidéo de type timex ou timestack rendent possible l'extraction de proxys bathymétriques qui permettent de caractériser et de reconstruire la morphologie de plage sous-jacente. Cependant, ces méthodes d'inversion bathymétrique directes sont limitées au cas linéaire et nécessitent, selon les conditions hydrodynamiques ambiantes, l'acquisition de données vidéo sur plusieurs heures voire plusieurs jours pour caractériser un état de plage. En réponse à ces différents points bloquants, ces travaux de thèse proposaient l'implémentation puis la validation de méthodes d'inversion bathymétrique basées sur l'assimilation dans notre modèle de différentes sources d'observations vidéo disponibles et complémentaires. A partir d'informations hétérogènes et non redondantes, ces méthodes permettent la reconstruction rapide et précise d'une morphologie de plage dans son intégralité pour ainsi bénéficier de relevés bathymétriques haute fréquence réguliers. / This thesis presents data-model assimilation techniques using video-derived beach information to improve the modelling of beach profile evolution.The acquisition of accurate and recurrent nearshore bathymetric data is a difficult and challenging task which limits our understanding of nearshore morphological changes. This is particularly true in the surf zone which exhibits the largest degree of morphological variability. In addition, surfzone bathymetric data are crucial from many perspectives such as numerical model validation, operational rip current prediction or real-time nearshore evolution modelling. In parallel, video imagery recently arose as a low-cost alternative to direct measurement in order to daily monitor beach morphological changes. Indeed, bathymetry proxies can be extracted from video-derived images such as timex or timestacks. These data can be then used to estimate underlying beach morphologies. However, simple linear depth inversion techniques still suffer from some restrictions and require up to a 3-day dataset to completely characterize a given beach morphology. As an alternative, this thesis presents and validates data-assimilation methods that combine multiple sources of available video-derived bathymetry proxies to provide a rapid, complete and accurate estimation of the underlying bathymetry and prevent from excessive information.