Total suspended matter (TSM) concentrations were derived from ocean colour imagery (MERIS data) in Minas Basin. Analysis of time series of TSM in 1-km2 pixel boxes throughout the Basin revealed an annual cycle in TSM in most parts of the Basin. Higher TSM of up to 85 g/m3 was observed in late-winter (February - March), and lower TSM of 5-10 g/m3 characterized late-summer (July - August). The largest annual variation occurred in the centre of Basin, and the smallest variation occurred in shallow areas. Satellite-derived TSM were compared to predictions using the Delft3D model. Increasing model erosion rate in winter relative to summer was necessary to improve agreement between model and satellite-derived TSM. In comparison with the satellite-derived estimates, the model underestimated TSM in shallow areas in summer and overestimated it in winter. This discrepancy is likely due to inaccurate satellite-derived TSM in shallow, high concentration areas of the Basin.

Inland water has for a long time showed vast stress due to eutrophication, mainly caused by increased levels of phosphorus. Applying remote sensing as a tool for monitoring water parameters has long been used. In the past, inland watercourses measurements have proven to be challenging, often due to the limitations of satellite missions' spectral resolution or difficulties in implementing the appropriate methodology. This project investigates the potential to use a high-resolution satellite mission, Sentinel 2, to monitor phosphorus with the proxies total suspended matter (TSM) and turbidity in two smaller watercourses, Fyrisån and Sävjaån, in Uppsala, Sweden. From April to November, a period spanning three years (2018, 2019, and 2021), empirical modeling was employed to conduct investigations. The three years all represent different weather patterns and discharge velocities. The bands 2 to 8 were investigated individually and together to see if there was a potential using a single band correlation or multiple to correlate with turbidity or TSM. The two optically active water parameters are known to have a high correlation with the non-optically active phosphorus. There was no correlation found between the proxies and each band individually for any of the years investigated. Using a multi regression analysis both 2018 and 2019 showed high correlation for TSM, and 2019 for turbidity. While the results for 2021 were not significant for any of the proxies. The conclusion indicates that with right surrounding factors it’s possible to use TSM and turbidity as a proxy for phosphorus when using Sentinel 2 in these smaller watercourses. Nevertheless, further studies are needed to investigate how the proxy and the nutrient acts together with satellite data for peaks etc. before using Sentinel 2 results as a direct interpretation.

Made available in DSpace on 2015-02-24T19:48:45Z (GMT). No. of bitstreams: 1 AndersonTSF_TESE_ Capa_ate_pag22.pdf: 11459625 bytes, checksum: fd30a979bc39cf6180f782c772106ee3 (MD5) Previous issue date: 2013-09-16 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / This paper presents models of parameters of Sea Surface Layer (SSL), such as chlorophyll-a, sea surface temperature (SST), Primary Productivity (PP) and Total Suspended Matter (TSM) for the region adjacent to the continental shelf of Rio Grande do Norte (RN), Brazil. Concentrations of these parameters measured in situ were compared in time quasi-synchronous with images AQUA-MODIS between the years 2003 to 2011. Determination coefficients between samples in situ and bands reflectance sensor AQUA-MODIS were representative. From that, concentrations of SSL parameters were acquired for the continental shelf of the RN (eastern and northern) analyzing the geographic distribution of variation of these parameters between the years 2009-2012. Geographical and seasonal variations mainly influenced by global climate phenomena such as El Ni?o and La Ni?a, were found through the analysis of AQUA-MODIS images by Principal Components Analysis (PCA). Images show qualitatively the variance and availability of TSM in the regions, as well as their relationship with coastal erosion hotspots, monitored along the coast of the RN. In one of the areas identified as being of limited availability of TSM, we developed a methodology for assessment and evaluation of Digital Elevation Models (DEM) of beach surfaces (emerged and submerged sections) from the integration of topographic and bathymetric data measured in situ and accurately georeferenced compatible to studies of geomorphology and coastal dynamics of short duration. The methodology consisted of surveys with GNSS positioning operated in cinematic relative mode involved in topographic and bathymetric executed in relation to the stations of the geodetic network of the study area, which provided geodetic link to the Brazilian Geodetic System (GBS), univocal , fixed, and relatively stable over time. In this study Ponta Negra Beach, Natal / RN, was identified as a region with low variance and availability of MPS in the region off, as characterized by intense human occupation and intense coastal erosion in recent decades, which presents potential of the proposed methodology for accuracy and productivity, and the progress achieved in relation to the classical methods of surveying beach profiles / Este trabalho apresenta modelos de par?metros da Camada Superficial do Mar (CSM), tais como: Clorofila-a, Temperatura da Superf?cie do Mar (TSM), Produtividade Prim?ria (PP) e Material Particulado em Suspen??o (MPS), para a regi?o adjacente a plataforma continental do Rio Grande do Norte (RN), Brasil. Concentra??es desses par?metros medidos in situ foram comparadas em tempo quase-s?ncronos com imagens AQUAMODIS entre os anos de 2003 at? 2011. Coeficientes de determina??o foram representativos entre as amostras in situ e as bandas de reflect?ncia do sensor AQUAMODIS. A partir disso, concentra??es de par?metros da CSM foram adquiridos para a plataforma continental do RN (Plataforma Oriental e Setentrional) analisando a distribui??o geogr?fica da varia??o desses par?metros entre os anos de 2009-2012. Varia??es geogr?ficas e sazonais influenciadas principalmente por fen?menos clim?ticos globais como o fen?meno El Ni?o e La Ni?a, foram constatadas atrav?s das an?lises das imagens AQUA-MODIS por an?lise de Principais Componentes (PC). As imagens apontam de maneira qualitativa a vari?ncia e disponibilidade do MPS nas regi?es, assim como sua rela??o com hotspots de eros?o costeira, monitorados ao longo do litoral do RN. Em uma das regi?es identificadas como sendo de pouca disponibilidade de MPS, foi desenvolvida uma metodologia para levantamento e avalia??o de Modelos Digitais de Eleva??o (MDE) de superf?cies praiais (setores emersos e submersos) a partir da integra??o de dados topogr?ficos e batim?tricos mensurados in situ e georreferenciados com precis?o compat?vel aos estudos de geomorfologia e din?mica costeira de curta dura??o. A metodologia desenvolvida consistiu de levantamentos com posicionamentos GNSS operados no modo relativo cinem?tico envolvidos nos levantamentos topogr?ficos e batim?tricos executados em rela??o ?s esta??es da rede geod?sica da ?rea de estudo, que forneceram referencial geod?sico vinculado ao Sistema Geod?sico Brasileiro (SGB), o qual ? un?voco, fixo e relativamente est?vel no tempo. No estudo foi apresentado a Praia de Ponta Negra, Natal/RN, identificada como uma regi?o com baixa vari?ncia e disponibilidade de MPS ao largo, assim como, caracterizada por intensa ocupa??o antr?pica e intensa eros?o costeira nas ?ltimas d?cadas, no qual s?o apresentadas as potencialidades da metodologia proposta, quanto ? acur?cia e produtividade, al?m dos avan?os alcan?ados em rela??o aos m?todos cl?ssicos de levantamento de perfis de praia