Relevant bibliographies by topics / Bio-optical model

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  2. Dissertations / Theses
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  4. Conference papers
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Academic literature on the topic 'Bio-optical model'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Bio-optical model"

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Shulman, Igor, Sergey Frolov, Stephanie Anderson, Brad Penta, Rick Gould, Peter Sakalaukus, and Sherwin Ladner. "Impact of bio-optical data assimilation on short-term coupled physical, bio-optical model predictions." Journal of Geophysical Research: Oceans 118, no. 4 (April 2013): 2215–30. http://dx.doi.org/10.1002/jgrc.20177.

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Arrigo, Kevin R., Cornelius W. Sullivan, and James N. Kremer. "A bio-optical model of Antarctic sea ice." Journal of Geophysical Research 96, no. C6 (1991): 10581. http://dx.doi.org/10.1029/91jc00455.

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Kostakis, I., R. Röttgers, A. Orkney, H. A. Bouman, M. Porter, F. Cottier, J. Berge, and D. McKee. "Development of a bio-optical model for the Barents Sea to quantitatively link glider and satellite observations." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2181 (August 31, 2020): 20190367. http://dx.doi.org/10.1098/rsta.2019.0367.

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A bio-optical model for the Barents Sea is determined from a set of in situ observations of inherent optical properties (IOPs) and associated biogeochemical analyses. The bio-optical model provides a pathway to convert commonly measured parameters from glider-borne sensors (CTD, optical triplet sensor—chlorophyll and CDOM fluorescence, backscattering coefficients) to bulk spectral IOPs (absorption, attenuation and backscattering). IOPs derived from glider observations are subsequently used to estimate remote sensing reflectance spectra that compare well with coincident satellite observations, providing independent validation of the general applicability of the bio-optical model. Various challenges in the generation of a robust bio-optical model involving dealing with partial and limited quantity datasets and the interpretation of data from the optical triplet sensor are discussed. Establishing this quantitative link between glider-borne and satellite-borne data sources is an important step in integrating these data streams and has wide applicability for current and future integrated autonomous observation systems. This article is part of the theme issue ‘The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning’.
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Örek, H., R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire. "A bio-optical model for remote sensing of Lena water." Biogeosciences Discussions 10, no. 3 (March 11, 2013): 4887–925. http://dx.doi.org/10.5194/bgd-10-4887-2013.

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Abstract. Bio-optical measurements and sampling were carried out in the delta of the Lena River (Northern Siberia, Russia) during the high water run-off period between 26 June 2011 and 4 July 2011. The aim of this study was to determine the inherent optical properties of the Lena water, i.e. absorption, attenuation and scattering coefficients, during the period of maximum run-off. In this context CDOM (Colored Dissolved Organic Matter), total particle absorption, total suspended matter and phytoplankton-pigments were measured. CDOM was found to be the most dominant parameter affecting the optical properties of the river, with an absorption coefficient of 4.5–5 m−1 at 442 nm, which was almost four times higher than total particle absorption values at visible wavelength range during the first week of the campaign. This difference decreased over the following days when Total Suspended Matter (TSM) concentration increased. The wavelength dependent absorption spectra of the water constituents were characterized by determining the semi logarithmic spectral slope. Mean CDOM, and Detritus slopes, were 0.0149 nm−1(stdev = 0.0003, n = 18), and 0.0057 nm−1 (stdev = 0.0017, n = 19), respectively, values which are typical for water bodies with high concentrations of dissolved and particulate carbon. Mean total chlorophyll a, and total suspended matter, were also measured to determine the relationship between concentrations and optical properties. Mean chlorophyll a and total suspended matter were 1.821 mg m−3 (stdev = 0.734 n = 18) and 31.89 mg L−1 (stdev = 19.94) respectively. The light penetration depth (Secchi disc depth) was highly correlated with the suspended matter concentration with a maximum of 90 cm. We conclude that the bio-optical properties of the Lena River are rather complex because of the high CDOM and variable particle load which may change within a matter of days. Furthermore, the chlorophyll concentration constitutes a small fraction. Our results will improve the remote sensing protocols of the river and coastal waters in and around the Lena Delta and serve as a basis for characterizing the light climate with respect to primary production.
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Bengil, Fethi, David McKee, Sükrü T. Beşiktepe, Violeta Sanjuan Calzado, and Charles Trees. "A bio-optical model for integration into ecosystem models for the Ligurian Sea." Progress in Oceanography 149 (December 2016): 1–15. http://dx.doi.org/10.1016/j.pocean.2016.10.007.

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Jalbuena, R. L., A. C. Blanco, A. Manuel, R. R. Sta. Ana, and J. A. Santos. "BIO OPTICAL MODELLING OF LAGUNA LAKE USING BOMBER TOOL AND WASI-DERIVED INVERTED PARAMETERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 277–82. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-277-2019.

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Abstract. Laguna Lake is significant to its surrounding cities and municipalities as it serves multiple purposes: flood basin, aquaculture, water source for irrigation and domestic use, among others. Monitoring the lake’s water quality is an integral part ensuring that the lake would continue to serve its purposes. Bio-optical modelling is a type of empirical model that relates the inherent optical properties of water to different biological properties like chlorophyll-a. The BOMBER (Bio-Optical Model Based tool for Estimating water quality and bottom properties from Remote sensing images) tool makes use of the different IOPs apparent optical properties (AOPs) of satellite images to be able to produce water quality maps. To localize the parameters used by the BOMBER tool, the use of WASI (The Water Color Simulator) tool was introduced. Inverting in situ spectral measurements of the lake, WASI tool was able to produce parameters localized for the lake. This research used 2018 Landsat 8 Images to produce images and used a water profiler to validate results. Results show the bio-optical model provided a R-squared value of 0.6912 and an RMSE of 2.43 μg/l which shows good correlation between the in-situ and the bio-optical model results.
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Örek, H., R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire. "Contribution to a bio-optical model for remote sensing of Lena River water." Biogeosciences 10, no. 11 (November 8, 2013): 7081–94. http://dx.doi.org/10.5194/bg-10-7081-2013.

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Abstract. Bio-optical measurements and sampling were carried out in the delta of the Lena River (northern Siberia, Russia) between 26 June and 4 July 2011. The aim of this study was to determine the inherent optical properties of the Lena water, i.e., absorption, attenuation, and scattering coefficients, during the period of maximum runoff. This aimed to contribute to the development of a bio-optical model for use as the basis for optical remote sensing of coastal water of the Arctic. In this context the absorption by CDOM (colored dissolved organic matter) and particles, and the concentrations of total suspended matter, phytoplankton-pigments, and carbon were measured. CDOM was found to be the most dominant parameter affecting the optical properties of the river, with an absorption coefficient of 4.5–5 m−1 at 442 nm, which was almost four times higher than total particle absorption values at visible wavelength range. The wavelenght-dependence of absorption of the different water constituents was chracterized by determining the semi logarithmic spectral slope. Mean CDOM, and detritus slopes were 0.0149 nm−1(standard deviation (stdev) = 0.0003, n = 18), and 0.0057 nm−1 (stdev = 0.0017, n = 19), respectively, values which are typical for water bodies with high concentrations of dissolved and particulate carbon. Mean chlorophyll a and total suspended matter were 1.8 mg m−3 (stdev = 0.734 n = 18) and 31.9 g m−3 (stdev = 19.94, n = 27), respectively. DOC (dissolved organic carbon) was in the range 8–10 g m−3 and the total particulate carbon (PC) in the range 0.25–1.5 g m−3. The light penetration depth (Secchi disc depth) was in the range 30–90 cm and was highly correlated with the suspended matter concentration. The period of maximum river runoff in June was chosen to obtain bio-optical data when maximum water constituents are transported into the Laptev Sea. However, we are aware that more data from other seasons and other years need to be collected to establish a general bio-optical model of the Lena water and conclusively characterize the light climate with respect to primary production.
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Gao, Meng, Peng-Wang Zhai, Bryan A. Franz, Yongxiang Hu, Kirk Knobelspiesse, P. Jeremy Werdell, Amir Ibrahim, Brian Cairns, and Alison Chase. "Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties." Atmospheric Measurement Techniques 12, no. 7 (July 17, 2019): 3921–41. http://dx.doi.org/10.5194/amt-12-3921-2019.

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Abstract. Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll a. The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions.
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Shengqiang, WANG, CHEN Jin, YANG Wei, LIANG Hanwei, and ZHU Jingjing. "Accuracy assessment of bio-optical model in turbid case Ⅱ waters." Journal of Lake Sciences 23, no. 2 (2011): 217–22. http://dx.doi.org/10.18307/2011.0209.

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Zainol, Farrah Dilla, Nopparat Thammawongsa, Somsak Mitatha, Jalil Ali, and Preecha Yupapin. "Nerve communication model by bio-cells and optical dipole coupling effects." Artificial Cells, Nanomedicine, and Biotechnology 41, no. 6 (January 10, 2013): 368–75. http://dx.doi.org/10.3109/21691401.2012.759124.

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Dissertations / Theses on the topic "Bio-optical model"

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Kerrigan, Kristi Lisa. "Development of a regional bio-optical model for water quality assessment in the US Virgin Islands." Thesis, College of Charleston, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1605329.

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Previous research in the US Virgin Islands (USVI) has demonstrated that land-based sources of pollution associated with watershed development and climate change are local and global factors causing coral reef degradation. A good indicator that can be used to assess stress on these environments is the water quality. Conventional assessment methods based on in situ measurements are timely and costly. Satellite remote sensing techniques offer better spatial coverage and temporal resolution to accurately characterize the dynamic nature of water quality parameters by applying bio-optical models. Chlorophyll-a, suspended sediments (TSM), and colored-dissolved organic matter are color-producing agents (CPAs) that define the water quality and can be measured remotely. However, the interference of multiple optically active constituents that characterize the water column as well as reflectance from the bottom poses a challenge in shallow coastal environments in USVI. In this study, field and laboratory based data were collected from sites on St. Thomas and St. John to characterize the CPAs and bottom reflectance of substrates. Results indicate that the optical properties of these waters are a function of multiple CPAs with chlorophyll-a values ranging from 0.10 to 2.35 ?g/L and TSM values from 8.97 to 15.7 mg/L. These data were combined with in situ hyperspectral radiometric and Landsat OLI satellite data to develop a regionally tiered model that can predict CPA concentrations using traditional band ratio and multivariate approaches. Band ratio models for the hyperspectral dataset (R2 = 0.35; RMSE = 0.10 ?g/L) and Landsat OLI dataset (R2 = 0.35; RMSE = 0.12 ?g/L) indicated promising accuracy. However, a stronger model was developed using a multivariate, partial least squares regression to identify wavelengths that are more sensitive to chlorophyll-a (R2 = 0.62, RMSE = 0.08 ?g/L) and TSM (R2 = 0.55). This approach takes advantage of the full spectrum of hyperspectral data, thus providing a more robust predictive model. Models developed in this study will significantly improve near-real time and long-term water quality monitoring in USVI and will provide insight to factors contributing to coral reef decline.

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Carmo, Alisson Fernando Coelho do. "Three-dimensional modeling of inland waters optical properties from aerial hyperspectral images /." Presidente Prudente, 2019. http://hdl.handle.net/11449/191338.

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Orientador: Nilton Nobuhiro Imai
Abstract: The acquisition of data using Remote Sensing and in-situ sampling allows several data sources to be integrated for the analysis and observations of environmental characteristics and may require computational methods to support the data processing, exploration and analysis. The need to integrate data from different sources is highlighted in studies of dynamic and complex environments that frequently change, such as hydroelectric reservoirs. Reservoirs are artificial ecosystems, which influence directly the regional characteristics, mainly because of their multipurpose use. The interactions of the electromagnetic energy with the optically active components occur along the entire water column, so that the behavior of the light field reflects the changes applied along the entire euphotic zone. However, the values taken from images are used accordingly to a plane and associated with the respective point or area of surface. The calibration of bio-optical models considering only the surface sampling data can not deliver fully effective results because the electromagnetic radiation interacts with the components located along the water column and the response captured by the sensors does not only represent the value associated with the surface. Considering this scenario, this work proposes an investigation on the influence of the vertical distribution of the optical properties along the water column, in order to contemplate records about the interaction in different levels of depth, b... (Complete abstract click electronic access below)
Resumo: A aquisição de dados por meio da combinação de Sensoriamento Remoto e amostragens in-situ permite que várias fontes de dados sejam integradas para a análise e observação de características do alvo de interesse e pode exigir métodos computacionais para apoiar o processamento, exploração e análise de dados. A necessidade de integrar dados de diferentes fontes é destacada em estudos de ambientes dinâmicos e complexos que se alteram frequentemente, como os reservatórios hidrelétricos. Os reservatórios são ecossistemas artificiais, que influenciam diretamente nas características regionais, principalmente devido ao seu uso múltiplo uso. As interações da energia eletromagnética com os componentes opticamente ativos ocorrem ao longo de toda a coluna d’água, de modo que o comportamento do campo de luz reflete as mudanças aplicadas ao longo da zona eufótica. No entanto, as grandezas registradas nas imagens são usados de acordo com o plano e limitadas ao respectivo ponto ou área da superfície. A calibração de modelos bio-ópticos, considerando apenas os dados de amostragem da superfície, pode não fornecer resultados totalmente eficazes, porque a radiação eletromagnética interage com os componentes localizados ao longo da coluna de água e, consequentemente, a resposta capturada pelos sensores não representa apenas o valor associado à superfície. Este trabalho propõe uma investigação sobre a influência da distribuição vertical das propriedades ópticas ao longo da coluna d’água, a fim de co... (Resumo completo, clicar acesso eletrônico abaixo)
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Ametistova, Lioudmila. "Ocean Colour Remote Sensing of Flood Plumes in the Great Barrier Reef." University of Sydney. Department of Civil Engineering, 2004. http://hdl.handle.net/2123/647.

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The objective of the research reported in this thesis was to develop a technique to monitor the dynamics of sediments and nutrients entering the coastal ocean with river plumes associated with high intensity low frequency events (e.g. floods), using ocean colour remote sensing. To achieve this objective, an inverse bio-optical model was developed, based on analytical and empirical relationships between concentrations of optically significant substances and remote sensing of water-leaving radiance. The model determines concentrations of water-colouring substances such as chlorophyll, suspended sediments, and coloured dissolved organic matter, as well as the values of optical parameters using water-leaving radiances derived from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS). To solve atmospheric correction in coastal waters, the aerosol type over clear waters is transferred to adjacent turbid water pixels. The vicinity of the Herbert River, central Great Barrier Reef zone, Australia, was used as a case study for the application of the algorithm developed. The satellite ocean colour technique was successfully validated using sea-truth measurements of water-colouring constituents acquired in the area during various seasons throughout 2002-2004. A high correlation between chlorophyll and dissolved organic matter was found in the coastal waters of the region, and when the bio-optical model was constrained to make chlorophyll a function of dissolved organic matter, the relationship between in situ and satellite-derived data was substantially improved. With reliable retrieval of the major water-colouring constituents, the technique was subsequently applied to study fluxes of particulate and dissolved organic and inorganic matter following a flood event in the Herbert River during the austral summer of 1999. Extensive field observations covering a seasonal flood in the Herbert River in February 2004 revealed high sediment and nutrient exports from the river to the adjacent coastal waters during the flood event. Due to rapid settling, the bulk of the sediment-rich influx was deposited close inshore, while the majority of nutrients exported from the river were consumed by phytoplankton in a relatively small area of the coastal ocean. With the help of ocean colour remote sensing, it was demonstrated that river-borne sediments and nutrients discharged by a typical flood in the Herbert River are mostly precipitated or consumed within the first 20 km from the coast and therefore are unlikely to reach and possibly affect the midshelf coral reefs of this section of the Great Barrier Reef lagoon.
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Gonçalves, Stela Rosa Amaral [UNESP]. "Análise espaço-temporal de carbono orgânico dissolvido colorido no reservatório de Barra Bonita/SP." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/143046.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Informações quantitativas e qualitativas de sistemas aquáticos podem ser obtidas por meio de dados de sensoriamento remoto. Nesses sistemas, a porção fotoativa do carbono orgânico dissolvido (COD), pode apresentar correlação com o Carbono Orgânico Dissolvido Colorido (CDOM) que é responsável pela alteração da cor da água e consequentemente pode alterar processos de fotossíntese e fotodegradação. Sendo assim o presente trabalho teve como objetivo avaliar a variabilidade espacial das concentrações de CDOM de uma série temporal, de imagens do sensor Operational Land Imager OLI a bordo do satélite Landsat 8, ao longo de um ano no reservatório de Barra Bonita/SP, sendo este o primeiro de uma série de reservatórios em cascata do Rio Tietê, no estado de São Paulo. Foram encontradas correlações entre a concentração laboratorial do COD e o CDOM para o campo de maio o que motivou a modelagem. Foram ajustados modelos inversos, de banda simples e de razão de bandas, para predição de CDOM com dados de dois trabalhos de campo realizados no ano de 2014, sendo o primeiro no mês de maio e o segundo no mês de outubro. Além disso, foram testados modelos encontrados na literatura, também com os dados levantados em campo, para estimativa de CDOM. Os resultados obtidos mostraram que, para os modelos bio-ópticos, de banda simples e razão de bandas, não há diferenças estatistica. O melhor modelo foi selecionado baseado em análise de erro, depois da aplicação dos modelos na imagem OLI coincidente com o trabalho de campo. Uma série de imagens do sensor OLI no período de um ano foi adotada tendo em vista da disponibilidade dos dados gratuitos e resolução radiométrica de 12 bits. A série temporal de imagens do sensor OLI, após ser processada para minimizar os efeitos atmosféricos, permitiu mostrar a dinâmica de CDOM no reservatório em conjunto com dados de precipitação e temperatura do Instituto Nacional de Meteorologia (INMET). Foi possível observar que o reservatório apresenta uma tendência de valores maiores de CDOM após aportes de nutrientes causados por eventos de precipitação. A temperatura apesar de influenciar na velocidade da reação de degradação não foi o fator principal para a variação da concentração de CDOM. O ajuste e avaliação de modelos foi essencial para escolha do modelo mais adequado a realidade local e sazonal do escopo do trabalho. Além disso o modelo aplicado pode contribuir para o cálculo do balanço de carbono, como também em outros estudos que necessitem dessa informação.
Quantitative and qualitative information about aquatic systems can be obtained by using the Remote Sensing techniques. In these aquatic systems, the photoactive portion of Dissolved Organic Carbon (DOC) can be correlated with the Colored Dissolved Organic Matter (CDOM), responsible for the water color alteration and can modify the photosynthesis and photodegradation process. In this sense, this project aimed to evaluate the spatial variability of CDOM concentrations in a one-year temporal analysis from images acquired by the Operational Land Imager OLI sensor onboard the satellite Landsat 8. The study site is the reservoir located in Barra Bonita, State of São Paulo, which is the first in a series of cascading reservoirs from Tietê River in State of São Paulo. The results showed correlations between the COD and CDOM concentrations for the data acquired in May 2014, motivating the CDOM modeling. Inverse models were adjusted, by using simple spectral band and band ratio, for CDOM prediction using data acquired from two field works carried out in 2014, the first in May and the second in October. Moreover, the models found in related literature were tested, also with the data collected in field, for the CDOM estimative. The obtained results showed that for the bio-optical models, from simple spectral band and band ratio, there is no statistic differences. The model who best fitted to the CDOM estimation was selected based on error analysis after their application in OLI images, which coincided with the field work. One year OLI images were used considering their availability, without fees, and their radiometric resolution of 12 bits. This temporal series, after being processed to attenuate the atmospheric effects, allowed showing the CDOM dynamics in the Barra Bonita reservoir combined with temperature and precipitation data from the Instituto Nacional de Metereologia (INMET). It was possible observe that the reservoir shows a bias of higher values of CDOM after nutrients intakes caused by precipitation. The temperature, despite of its influence on degradation reaction velocity, was not the principal factor for the CDOM concentration variation. Finally, the adjustment and models validation was essential for the correct choice of the model which better represents the local and season reality. In addition, the applied model can contribute for the carbon balance calculation, as well for other researches, which use this information.
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Watanabe, Fernanda Sayuri Yoshino [UNESP]. "Parameterization of bio-optical models for estimating chlorophyll-a concentration in a tropical eutrophic reservoir." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/138176.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
The aim of this research was to parameterize and calibrate models based on remote sensing data in order to estimate accurately the chlorophyll-a concentration, [Chl-a], in a tropical eutrophic reservoir. Firstly, a bio-optical characterization was conducted to identify particularities in the study area. Thus, existing empirical models and quasi-analytical algorithms (QAA) were tested and, after, parameterized and calibrated for the investigated environment. Such models derive [Chl-a] and inherent optical properties (IOPs), respectively, from remote sensing reflectance (Rrs). This research was developed in the Barra Bonita hydroelectric reservoir (BBHR), lies in Tietê River (Brazil). Reservoirs are artificial environments which change severely the hydrodynamic of rivers and the biogeochemical balance of aquatic systems. Such alterations can lead to unique bio-optical status and, consequently, models developed for rivers and lakes are not suitable to explain the processes which happen in reservoirs. The trophic state is an important water quality parameter and can be determined based on Chl-a concentration, photosynthetically active pigment present in all the phytoplankton species and detected by remote sensors. Therefore, the use of orbital and aerial images is a viable alternative to monitoring of trophic state in these environments. Results showed that bio-optical status in BBHR is remarkable different compared to other aquatic systems found in literature, corroborated by inaccurate performance of models proposed to other areas. The parameterization and calibration proposed in this research estimated accurately Chl-a concentration, mainly, adopting absorption coefficients derived by QAA. The fitted models can be used in mapping trophic state and frequent monitoring of water quality in BBHR by environmental agency and hydroelectric plant managers. In addition, it is likely that the parameters proposed in this research are suitable for other inland waters.
O objetivo do presente trabalho foi parametrizar e calibrar modelos baseado em dados de sensoriamento remoto para estimar acuradamente a concentração da clorofila-a, [Chl-a], em um reservatório tropical e eutrofizado. Primeiramente, uma caracterização bio-óptica da área estudo foi realizada para identificar particularidades do ambiente. Então, modelos empíricos e algoritmos quase-analíticos (QAA) existentes foram testados e, posteriormente parametrizados e calibrados para o ambiente investigado. Tais modelos derivam a [Chl-a] e propriedades ópticas inerentes (POIs), respectivamente, a partir da reflectância de sensoriamento remoto (Rrs). Esta pesquisa foi desenvolvida no reservatório da hidroelétrica de Barra Bonita (RHBB), localizado no Rio Tietê (Brasil). Reservatórios são ambientes artificiais que modificam severamente a hidrodinâmica de rios e o equilíbrio biogeoquímico do ecossistema aquático. Tais alterações podem proporcionar características bio-ópticas únicas ao ambiente e modelos para rios e lagos podem não ser adequados para explicar os processos que ocorrem em reservatórios. O grau de eutrofização é um importante parâmetro de qualidade da água e pode ser determinado com base na [Chl-a], pigmento fotossiteticamente ativo presente em todas as espécies de fitoplâncton, detectado por sensores remotos. Portanto, o uso de imagens orbitais e aerotransportadas é uma alternativa viável para o monitoramento do estado trófico desses ambientes. Resultados mostram que as características bio-ópticas em RHBB são consideravelmente diferentes de outros ambientes pesquisados na literatura, corroborado com desempenho não acurado de modelos propostos para outros ambientes. A parametrização e calibração propostas nesta pesquisa estimaram acuradamente a [Chl-a], principalmente, adotando os coeficientes de absorção derivados do QAA. Os modelos ajustados podem ser utilizados no mapeamento do estado trófico e monitoramento periódico da qualidade da água em RHBB por agências ambientes e gestores de usinas hidroelétricas. Além disso, é provável que os parâmetros propostos nesta pesquisa sejam adequados para outras águas continentais.
CNPq: 200157/2015-9
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Culver, Mary Evans. "Applications of chlorophyll a fluorescence in bio-optical models of phytoplankton biomass and productivity / by Mary Evans Culver." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/10966.

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Strömbeck, Niklas. "Water Quality and Optical Properties of Swedish Lakes and Coastal Waters in Relation to Remote Sensing." Doctoral thesis, Uppsala University, Department of Evolutionary Biology, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-670.

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Semi-analytical models for remote sensing of water quality parameters need to be parameterized with specific inherent optical properties. In this thesis, data on specific inherent optical properties of Swedish lakes and coastal waters is presented. Also, the problems of measuring in situ spectral backscattering are addressed. It is shown how measured specific inherent optical properties are used to parameterize semi-analytical bio-optical models. The models are then used to produce large synthetic data sets based on the distribution of water quality parameters, and from these data sets, band ratio or single band ratio algorithms for remote estimation of water quality parameters are constructed. A similar model was also used to calculate under water PAR from measured water quality parameters.

The specific inherent optical properties of Swedish lakes and coastal waters are very similar to earlier reported data from the oceanic environment. However, different relations of the water quality parameters will affect the inherent optical properties absorption and backscattering. The absorption spectra are dominated by yellow substance with terrestrial origin. Phytoplankton absorption is low, and account in general only for about 10 % of the total absorption in regions where phytoplankton pigments are active. The spectral backscattering is dominated by suspended particulate inorganic matter. Phytoplankton backscattering is almost negligible, except in cases where the phytoplankton community is dominated by highly scattering cyanobacteria. Experiences from remote sensing campaigns and modeling shows that remote chlorophyll estimation is most effective at longer wavelengths, where the absorption of yellow substance is low. However, modeling also predicts that large uncertainties have to be expected in the estimation of chlorophyll, both from variation in the specific phytoplankton absorption and from influences of other optically active water quality parameters.

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Raman, Baranidharan. "Sensor-based machine olfaction with neuromorphic models of the olfactory system." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/4984.

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Electronic noses combine an array of cross-selective gas sensors with a pattern recognition engine to identify odors. Pattern recognition of multivariate gas sensor response is usually performed using existing statistical and chemometric techniques. An alternative solution involves developing novel algorithms inspired by information processing in the biological olfactory system. The objective of this dissertation is to develop a neuromorphic architecture for pattern recognition for a chemosensor array inspired by key signal processing mechanisms in the olfactory system. Our approach can be summarized as follows. First, a high-dimensional odor signal is generated from a chemical sensor array. Three approaches have been proposed to generate this combinatorial and high dimensional odor signal: temperature-modulation of a metal-oxide chemoresistor, a large population of optical microbead sensors, and infrared spectroscopy. The resulting high-dimensional odor signals are subject to dimensionality reduction using a self-organizing model of chemotopic convergence. This convergence transforms the initial combinatorial high-dimensional code into an organized spatial pattern (i.e., an odor image), which decouples odor identity from intensity. Two lateral inhibitory circuits subsequently process the highly overlapping odor images obtained after convergence. The first shunting lateral inhibition circuits perform gain control enabling identification of the odorant across a wide range of concentration. This shunting lateral inhibition is followed by an additive lateral inhibition circuit with center-surround connections. These circuits improve contrast between odor images leading to more sparse and orthogonal patterns than the one available at the input. The sharpened odor image is stored in a neurodynamic model of a cortex. Finally, anti-Hebbian/ Hebbian inhibitory feedback from the cortical circuits to the contrast enhancement circuits performs mixture segmentation and weaker odor/background suppression, respectively. We validate the models using experimental datasets and show our results are consistent with recent neurobiological findings.
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Corneci, Magdalena Carla. "Fonctionnement tribologique des articulations synoviales pathologiques : Rôle des interfaces phospholipidiques." Thesis, Lyon, INSA, 2012. http://www.theses.fr/2012ISAL0083.

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Afin d’améliorer l’efficacité des traitements des pathologies articulaires, en tenant compte de leur complexité et de leur ampleur, des études récentes ont mis en évidence le rôle des assemblages lipidiques associés à la structure discontinue du fluide synovial dans le contrôle du fonctionnement tribologique articulaire. Ceci à conduit à la mise au point d’un modèle tribologique ex vivo (thèse AM Sfarghiu, 2006), proposant un « motif élémentaire » de la biolubrification articulaire, constitué de l’empilement d’interfaces phospholipidiques et de couches aqueuses. En utilisant ce modèle, l’objectif de ce travail a été d’étudier l’évolution des interfaces phospholipidiques du fluide synovial en présence de pathologies. Pour ce faire, une méthodologie nano-bio-tribologique alliant des analyses biochimiques, physicochimiques, nano-mécaniques et tribologiques a été utilisée. Les résultats de ces analyses montrent : l’influence de la faible rugosité des surfaces frottantes caractérisant les stades précoces des pathologies et celle des propriétés des interfaces phospholipidiques (liées à la variation de leur composition) sur la résistance mécanique, l’évolution au cours du frottement et la dégradation in situ des assemblages lipidiques des fluides synoviaux pathologiques. Le comportement des assemblages lipidiques est accentué par l’action des enzymes associées aux pathologies. Par conséquent, le fonctionnement articulaire dépend de la résistance mécanique des interfaces phospholipidiques et pour obtenir des coefficients de frottement très bas, l’accommodation de vitesse doit s’effectuer au niveau des couches d’hydratation qui entourent les ions présents dans la couche aqueuse. Ces résultats permettront de comprendre à court terme l’évolution des interfaces phospholipidiques dans les pathologies articulaires et, à plus long terme le bon enchaînement cause/conséquence responsable d’une pathologie articulaire afin de développer des traitements plus efficaces, ciblés et non prothétiques
In order to improve the effectiveness of joint diseases’ treatments, given their complexity and magnitude, recent studies have highlighted the role of lipid assemblies associated with the discontinuous structure of the synovial fluid (SF) in the tribological performance of joint operation. Thus, an ex vivo tribological model (AM Sfarghiu, PhD thesis, 2006) providing a "basic pattern" for joint biolubrification was developed. It consists of the stack of phospholipidic interfaces and aqueous layers. Using this model, the objective of this work was to study the evolution of phospholipidic interfaces of SF within pathological state. Therefore, a nano-bio-tribological methodology combining biochemical, physicochemical, nano-mechanical and tribological analysis was used. The results of these analyses show: the influence of even small rubbing surfaces’ roughness characteristics of early stage illness and that of phospholipidic interfaces’ properties (related to their composition change) on the mechanical strength, changes in friction and in situ degradation of lipidic assemblies of pathological SF. The tribological operation is highlighted by enzymes’ associated with diseases. Thus, joint operation depends on the mechanical strength of phospholipidic interfaces and to obtain very low friction coefficients, velocity accommodation must be done at the level of hydration layers surrounding ions in the aqueous solution. These results would therefore allow better understanding of the evolution of phospholipidic interfaces in joint diseases and of the proper cause/consequence sequence responsible for a joint disease in order to develop more effective, targeted and non prosthetic treatments
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Gomes, Ana Carolina Campos [UNESP]. "Retrieval of euphotic zone and Secchi disk depth in Bariri reservoir using OLI/Landsat-8 data." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/153657.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
O presente trabalho teve como objetivo estimar as profundidades da zona eufótica (Zeu) e do disco de Secchi (ZSD) a partir do coeficiente de atenuação da luz (kd) utilizando dados do sensor Operational Land Imager (OLI)/Landsat-8 no reservatório de Bariri. Como importantes parâmetros de medida da claridade da água, kd, Zeu e ZSD são afetados pelas substâncias opticamente significativas (SOS). A caracterização óptica do reservatório foi realizada a partir de duas campanhas de campo realizadas no período seco, aqui nomeadas como BAR1 (agosto/2016) e BAR2 (junho/2017), que contaram com análises das propriedades ópticas inerentes (POIs), das SOS e da coleta de dados radiométricos para o cálculo da reflectância de sensoriamento remoto (Rsr). A localização do reservatório de Bariri como o segundo do Sistema de Reservatórios em Cascata (SRC) do Rio Tietê promove a heterogeneidade dos seus níveis de eutrofização na direção montante-jusante além de caracterizá-lo como altamente produtivo. As campanhas de campo foram marcadas por uma significativa diferença nos valores de concentração de clorofila-a ([Chl-a]) que apresentou variação média entre 7,99 e 119,76 μg L-1 com os maiores valores em BAR1, com decréscimo das SOS em BAR2 em relação a BAR1 e predomínio de material particulado orgânico (MPO) nas duas campanhas de campo; a turbidez variou entre 5,72 e 16,60 NTU. A absorção por matéria orgânica colorida dissolvida (aCDOM) foi predominante nas duas campanhas de campo, sendo mais expressiva em BAR2. Para as estimativas de kd, nove modelos empíricos e três modelos semi-analíticos baseados em dados radiométricos como razões entre as bandas azul/verde e azul/vermelho do sensor OLI/Landsat-8 e baseados em [Chl-a] foram avaliados. Considerando a propriedade óptica aparente (POA) do kd, um modelo semi-analítico baseado em POIs e na distribuição angular da luz apresentou os menores erros (erro médio percentual absoluto – MAPE) de 40% em relação aos modelos empíricos de [Chl-a] com 60% e de 80% para os modelos empíricos baseados em razões de bandas. A partir das estimativas de kd, modelos de estimativa de Zeu e ZSD foram avaliados. Para as estimativas de Zeu, cinco modelos empíricos, baseados na relação entre o coeficiente de atenuação da luz da radiação fotossinteticamente ativa [kd(PAR)] e de kd em 490 nm [kd(490)], e um modelo semi-analítico, baseado na equação de transferência radiativa, foram considerados; para as estimativas de ZSD, um modelo semi-analítico foi testado. Os resultados obtidos foram melhores para um modelo empírico (erro percentual absoluto – ε) de Zeu com 16% em relação ao modelo semi-analítico (ε 30%) e os erros nas estimativas de ZSD foram de 57%. Os erros nas estimativas de kd revelaram que a acurácia dos modelos empíricos foi comprometida devido à influência por CDOM e que o modelo semi-analítico, por considerar a natureza óptica de kd como uma POA, apresentou os melhores resultados. As estimativas de ZSD também foram afetadas pelas características ópticas de Bariri, não apresentando correlação com a matéria orgânica em BAR2, marcado pelo decréscimo de [Chl-a] e aumento dos valores de aCDOM. Zeu mostrou melhores resultados a partir de um modelo empírico calibrado com dados ópticos semelhantes aos do reservatório de Bariri em comparação ao modelo semi-analítico, desenvolvido para abranger as variações bio-ópticas sazonais e regionais. kd, Zeu e ZSD foram espacializados a partir de imagens do sensor OLI/Landsat-8 permitindo a avaliação espaçotemporal desses parâmetros que apresentaram um padrão sazonal quando analisados em relação aos dados de precipitação. kd apresentou variação entre 0,89 e 5,60 m-1 para o período analisado (2016) e Zeu e ZSD apresentaram variação entre 0,30 e 7,60 m e entre 0,32 e 2,95 m, respectivamente, para o período de 2014-2016. Pode-se concluir então, que apesar das estimativas de kd, Zeu e ZSD terem sido afetadas pela influência de CDOM no reservatório de Bariri, o esquema semi-analítico foi capaz de estimar kd com menor erro e permitiu as estimativas de Zeu e ZSD.
The objective of this present work was estimate the euphotic zone (Zeu) and Secchi disk (ZSD) depths from the light attenuation coefficient (kd) using the Operational Land Imager (OLI)/Landsat-8 data in Bariri reservoir. The kd, Zeu and ZSD are important water clarity parameters and are influenced by the optically significant substances (OSS). The optical characterization was carried out with data collected in two field campaigns in the dry period, here called BAR1 (august/2016) and BAR2 (june/2017), that included analysis of the inherent optical properties (IOPs), of the OSS and radiometric data to calculate the remote sensing reflectance (Rrs). The location of Bariri reservoir as the second of the Cascading Reservoir System (CRS) of Tietê River promotes the heterogeneity of the eutrophication levels from upstream to downstream besides characterizes the reservoir as highly productive. The field campaigns presented a significant difference in chlorophyll-a concentrations ([Chl-a]) with mean variation between 7.99 and 119.76 μg L-1 with the highest values in BAR1, with reduce of the OSS in BAR2 in relation to BAR1 and predominance of organic particulate matter (OPM) in both field campaigns and variation in turbidity from 5.72 to 16.60 NTU. The absorption of chromophoric dissolved organic matter (CDOM) was dominant in both field campaigns and more expressive in BAR2. For the kd estimates, nine empirical models and three semi-analytical models based on radiometric data such as ratios of blue-green and blue-red bands of (OLI)/Landsat 8 sensor and based on [Chl-a] were evaluated. Considering the apparent optical property (AOP) of kd, a semi-analytical model based on IOPs and the light angular distribution presented the lowest errors (mean absolute percentage error – MAPE) of 40% in relation to the empirical models of [Chl-a] with 60% and of 80% for the empirical models based on the band ratios. Through the kd estimates, models to derive Zeu and ZSD were evaluated. For the Zeu estimates, five empirical models were considered based on the relation between the attenuation coefficient of the photosynthetically active radiation [kd(PAR)] and the kd at 490 nm [kd(490)], and one semi-analytical model, based on the radiative transfer equation; for the ZSD estimates, one semi-analytical model was tested. The empirical model of Zeu showed the better results with the (unbiased absolute percentage error – ε) 16% in relation to the semi-analytical model (ε 30%) and the estimates errors of ZSD were 57%. The errors in kd estimates revealed that the accuracy of the empirical models was affected by the CDOM influence in Bariri reservoir and the semi-analytical model presented a better performance when considering the optical nature of kd as an AOP. The ZSD estimates were also affected by the optical characteristics of Bariri with no correlation to the SPM in BAR2, where the [Chl-a] decreased and the aCDOM increased. Zeu showed better results from an empirical model calibrated with similar optical data to Bariri reservoir in relation to the semi-analytical model developed to be applied in a wide range of bio-optical seasonal and regional variations. The kd, Zeu and ZSD were spatially distributed through OLI/Landsat-8 images allowing the temporal-spatial assessment of theses parameters, which presented a seasonal pattern when analyzed in relation to rainfall data. kd presented variation from 0.89 to 5.60 m-1 to the analyzed period (2016) and Zeu and ZSD presented variations between 0.30 and 7.60 m and between 0.32 and 2.95 m, respectively, for 2014-2016 period. It can be concluded, therefore, that despite of the CDOM have affected the kd, Zeu and ZSD retrievals in Bariri reservoir, the semi-analytical scheme was able to estimate kd with lowest error and enable the Zeu and ZSD estimates.
CNPq: 131737/2016-3
FAPESP: 2012/19821-1 e 2015/21586-9
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Book chapters on the topic "Bio-optical model"

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Moisan, John R. "A Vertical, Time-Dependent Bio-Optical Model." In Primary Productivity and Biogeochemical Cycles in the Sea, 522–23. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0762-2_58.

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Bagheri, Sima. "In-Situ Measurements to Establish the Bio-optical Model." In SpringerBriefs in Environmental Science, 29–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46949-2_3.

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Bidigare, Robert R., Barbara B. Prézelin, and Raymond C. Smith. "Bio-Optical Models and the Problems of Scaling." In Primary Productivity and Biogeochemical Cycles in the Sea, 175–212. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0762-2_11.

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Kumar, Abhishek, Sk Md Equeenuddin, and Deepak R. Mishra. "Long-Term Analysis of Water Quality in Chilika Lagoon and Application of Bio-optical Models for Cyclone Impact Assessment." In Ecology, Conservation, and Restoration of Chilika Lagoon, India, 165–202. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33424-6_8.

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Morel, A. "Bio-Optical Models." In Encyclopedia of Ocean Sciences, 385–94. Elsevier, 2001. http://dx.doi.org/10.1016/b978-012374473-9.00407-0.

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Morel, A. "Bio-optical Models." In Encyclopedia of Ocean Sciences, 317–26. Elsevier, 2001. http://dx.doi.org/10.1006/rwos.2001.0407.

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Morel, André. "Bio-Optical Models." In Encyclopedia of Ocean Sciences, 456–66. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-409548-9.10854-1.

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Mokhtari, Wafaa, Mohamed Achouri, Abdellah Remah, Noureddine Chtaina, and Hassan Boubaker. "Nano-Biosensors Tech and IPM in Plant Protection to Respond to Climate Change Challenges in Morocco." In Sensor Network Methodologies for Smart Applications, 114–29. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4381-8.ch005.

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In this chapter, the authors introduce two research axes: Part A, nano-biosensors as ad-hoc technologies designed to meet plant diagnostic sensitivity and specificity needs at point of care, and Part B, the study of the interaction of drought and infection stresses in crops investigating bio-control potential antagonists in developing integrated approach (IPM) for disease control measures in crops system. The first part will be revising most used nano-biosensors in plant pathogens detection using different platforms in greenhouses, on-field, and during postharvest. A special focus will be on optical and voltametric immuno/DNA sensors application in plant protection. The last part will present case studies of using nanoparticles functionalized with antibody/DNA for detecting pathogenic Pseudomonas sp, mosaic viruses, Botrytis cinereal, and Fusarium mycotoxins (DON). The second part will be interpreting experimental results of a case study on evaluating bio-control efficacy of local Trichoderma spp. using root dips treatment in Fusarium solani-green beans pathosystem as a model.
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Marra, John. "Capabilities and Merits of Long-term Bio-optical Moorings." In Ocean Optics. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195068436.003.0014.

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There are primarily three ways in which the ocean can be sampled. First, depth profiles of water properties can be collected. The sampling resolution for depth profiles can be very high (<1 m), and time resolution can be good under some circumstances. But since relatively few stations can be completed, geographic coverage is generally poor. Variability in space can be optimized if data can be collected while the ship is underway. In this second sampling mode, water is pumped aboard for sampling, or else sensing instruments are towed behind the ship. This method vastly improves sampling horizontal variability; however, depth resolution is compromised, and measurements cannot be ordered in time. The third method is to place instruments in the ocean, either tethered to moorings or on drifters. While depth resolution is only moderately good (typically, tens of meters), and spatial data nonexistent, this method has the advantage, unobtainable with the other modes, of high resolution in time. While moorings and drifters have been in the repertoire of physical oceanographic sampling for some time, it is only recently that they have been used to sample biological and optical properties of the sea. In this chapter, I discuss the capabilities of this kind of sampling from the point of view of a recent program, the BIOWATT Mooring Experiment in 1987. One of the express purposes of this experiment was to expand the range of variables that can be measured from moored instrumentation. Here, I will show how the time resolution made possible with moored sensors allows the measurement of parameters of phytoplankton production on diurnal time scales, as well as allowing a look at seasonal variability. The BIOWATT Mooring Experiment was a collaboration among a large number of people, all of whom contributed to its success. It was the first deployment of a mooring with a variety of sensors and whose goal was to record the optical, biological, and physical variability over a seasonal cycle. The idea for this type of experiment for BIOWATT originated with Tom Dickey and his (then) graduate student, Dave Siegel.
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Anton Okhai, Timothy, Azeez O. Idris, Usisipho Feleni, and Lukas W. Snyman. "Nanomaterial-Enhanced Receptor Technology for Silicon On-Chip Biosensing Application." In Biosensor - Current and Novel Strategies for Biosensing [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94249.

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Nanomaterials integration in biosensors designs are known to enhance sensing and signaling capabilities by exhibiting remarkably high surface area enhancement and intrinsic reactivity owing to their distinctive optical, chemical, electrical and catalytic properties. We present the synthesis and characterization of silver nanoparticles (AgNPs), and their immobilization on a silicon on-chip biosensor platform to enhance sensing capability for prostate specific antigen (PSA) - cancer biomarkers. Several techniques, including UV-Visible (UV-Vis) absorption spectrum, Fourier transforms infrared spectroscopy (FTIR), high resolution transmission electron microscopy (HRTEM), scanning electron microscopy (SEM) and field emission scanning electron microscopy (FESEM) were used for characterizing the AgNPs. The biochemical sensor consists of AgNPs immobilized on the receptor layer of a silicon avalanche mode light emitting device (Si AM LED) which enables on-chip optical detection biological analytes. A bio-interaction layer etched from the chip interacts with the evanescent field of a micro dimensioned waveguide. An array of detectors below the receptor cavity selectively monitor reflected light in the UV, visible, infrared and far infrared wavelength regions. AgNPs used as an immobilization layer in the receptor layer enhances selective absorption analytes, causing a change in detection signal as a function of propagation wavelength as light is dispersed. The analytes could range from gases to cancer biomarkers like prostate specific antigen.
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Conference papers on the topic "Bio-optical model"

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Shulman, Igor, Sergey Frolov, Stephanie Anderson, Brad Penta, Rick Gould, Peter Sakalaukus, and Sherwin Ladner. "Assimilation of bio-optical properties into coupled physical, bio-optical coastal model." In SPIE Defense, Security, and Sensing, edited by Weilin W. Hou and Robert A. Arnone. SPIE, 2013. http://dx.doi.org/10.1117/12.2015476.

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Churnside, James H. "Bio-optical model of remote sensing signals in a stratified ocean." In SPIE Defense + Security, edited by Weilin W. Hou and Robert A. Arnone. SPIE, 2015. http://dx.doi.org/10.1117/12.2179770.

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Yang, Dingtian, Weimin Chen, and Zhihua Mao. "Bio-optical model of chromatic dissolved organic matter in Lake TaiHu, China." In Asia-Pacific Remote Sensing Symposium, edited by Robert J. Frouin, Vijay K. Agarwal, Hiroshi Kawamura, Shailesh Nayak, and Delu Pan. SPIE, 2006. http://dx.doi.org/10.1117/12.692319.

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Korchemkina, Elena N., Aleksandr A. Molkov, Ivan A. Kapustin, and Daria V. Kalinskaya. "Reflectance model for satellite monitoring of bio-optical characteristics of Gorky reservoir waters." In XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2504595.

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Qinghua FU, Shixin Wang, Yi Zhou, and Jianping Guo. "Water Constituents Inversion in Taihu Lake Based on Artificial Neural Network and Bio-optical Model." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423872.

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McCarthy, Sean C., Richard W. Gould, Jr., James Richman, Courtney Kearney, and Adam Lawson. "Estimating errors in satellite retrievals of bio-optical properties due to incorrect aerosol model selection." In SPIE Remote Sensing. SPIE, 2011. http://dx.doi.org/10.1117/12.897546.

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Semovski, Sergey V., Bogdan Wozniak, and Ryszard Hapter. "Chlorophyll sounding data in the bio-optical model of the Gulf of Gdansk spring bloom." In Ocean Optics XII, edited by Jules S. Jaffe. SPIE, 1994. http://dx.doi.org/10.1117/12.190071.

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Ryu, Dongok, Sug-Whan Kim, Dae Wook Kim, Jae-Min Lee, Hanshin Lee, Won Hyun Park, Sehyun Seong, and Sun-Jeong Ham. "Integrated ray tracing simulation of annual variation of spectral bio-signatures from cloud free 3D optical Earth model." In SPIE Optical Engineering + Applications, edited by Richard B. Hoover, Gilbert V. Levin, Alexei Y. Rozanov, and Paul C. W. Davies. SPIE, 2010. http://dx.doi.org/10.1117/12.860706.

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Wu, Hsin-Yu, Wei-Tse Kao, Harrison Hao-Yu Ku, Cheng-Te Wang, Chih-Cheng Hsieh, Ren-Shuo Liu, Kea-Tiong Tang, and Chung-Chuan Lo. "A Bio-Inspired Motion Detection Circuit Model for the Computation of Optical Flow: The Spatial-Temporal Filtering Reichardt Model." In 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE, 2021. http://dx.doi.org/10.1109/aicas51828.2021.9458450.

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Jiao, Jian, and Zhixiong Guo. "Bio-Heat Transfer in a Model Skin Subject to a Train of Short Pulse Irradiation." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66368.

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Abstract:
Thermal analysis of biological tissues subject to a train of ultrashort pulse irradiations was made of developing a combined time-dependent radiation and conduction bio-heat transfer model. A model skin tissue stratified as three layers with different optical, thermal and physiological properties was considered. Temperature response of the skin tissue exposed to a single ultrashort pulse irradiation was firstly analyzed by the finite volume method in combination with the transient discrete ordinates method. This temperature rise was found to reach pseudo steady state within an extremely short time period in which thermal diffusion is negligible. Since the tissue properties were assumed to be constant during a train of pulse irradiation, this temperature rise subject to a single pulse can be employed for repeated pulses. In the same time, Pennes’ equation was employed to study the bio-heat transfer in the meso-time scale. The effects of pulse strengths and repetition rate on the temperature response in the multi-layer skin tissue were investigated.
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Reports on the topic "Bio-optical model"

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Aiken, Jim, Gerald Moore, and James Fishwick. Sea Truth Validation of Bio-Optical Models for A And Bb; Application to Heat Budget Models and the Effects of Biology on Ocean Thermal Structure. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada628329.

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Aiken, Jim, Gerald Moore, and James Fishwick. Sea Truth Validation of Bio-optical Models for 'a' and 'bb'; Application to Heat Budget Models and the Effects of Biology on Ocean Thermal Structure. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada619759.

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