O estudo do comportamento espectral de plantas de interesse agronômico é de fundamental importância a atividades relacionadas a avaliações de produtividade via sensoriamento remoto. O presente trabalho teve por objetivo avaliar a influência de diferentes níveis de irrigação e doses de adubação nitrogenada no comportamento espectral do capim Tanzânia (Panicum maximum Jacq. cv. Tanzânia), bem como na sua produção de matéria seca (MS) e nos valores do índice de área foliar (IAF). O experimento foi conduzido na "Fazenda Areão", da Escola Superior de Agricultura "Luiz de Queiroz", Piracicaba, São Paulo, de março a dezembro de 2001. O delineamento experimental constou de um total de 25 parcelas, de 3m x 5m cada uma, instaladas em uma área contínua de 25m x 15m, com declividade média de 4%. A forrageira foi submetida a cinco níveis de irrigação (0, 30, 70, 100 e 150% da capacidade de campo) e cinco níveis de adubação nitrogenada (0, 100, 275, 756 e 2079 kg N.ha-1.ano-1), aplicados por um sistema de fertirrigação por gotejamento. Foram ainda realizadas no decorrer do experimento, sete medidas radiométricas sobre o dossel vegetal, com o espectrorradiômetro SPECTRON SE-590, nas faixas do visível e infravermelho próximo, com a finalidade de se obterem os valores do Fator de Reflectância (FR), em bandas equivalentes às TM3 e TM4 do satélite LANDSAT, e do Índice de Vegetação por Diferença Normalizada (NDVI). De acordo com os resultados obtidos, concluiu-se que não houve efeito significativo das lâminas de irrigação aplicadas (p<0,05) sobre os valores de MS, IAF e NDVI do capim Tanzânia, fato este relacionado ao elevado índice de precipitação ocorrido durante a fase experimental. Em relação as doses de nitrogênio empregadas, ocorreu efeito significativo dos tratamentos (p<0,05) sobre os valores de MS, IAF e NDVI da forrageira. As variáveis apresentaram ainda uma tendência de efeitos quadráticos para o uso de nitrogênio, com melhores correlações observadas no período de maior umidade; ou seja, quando foram notados os maiores índices pluviométricos. Por sua vez, dosagens de nitrogênio maiores que 756 kg N.ha-1.ano-1 não proporcionaram efeitos crescentes sobre os valores da MS, do IAF e do NDVI. Para dosagens superiores a 1500 kg N.ha-1.ano-1 existiu uma tendência de incremento negativo das variáveis estudadas, possivelmente em virtude de efeitos secundários causados pelo excesso de nitrogênio na produção vegetal. Percebeu-se ainda que os valores de MS, IAF e NDVI, independentemente das lâminas de irrigação e doses de nitrogênio empregadas, foram menores no período seco e maiores no período úmido, permitindo-se concluir que fatores climáticos (radiação solar e a temperatura) influenciaram os resultados encontrados para as variáveis estudadas, caracterizando ainda a "estacionalidade" da forrageira. A produção de MS do capim Tanzânia foi afetada significativamente pelo IAF, relação esta que ficou mais definida nos cortes relativos a períodos úmidos. Ainda, em todo o período experimental, houve uma correlação significativa entre a produção de MS e NDVI; também entre IAF e NDVI, evidenciando a eficiência do índice na estimativa dessas variáveis. / The study of the spectral behavior of plants of agronomic interest is of fundamental importance for the activities related to productivity evaluations through remote sensing. This present research had as a purpose to analyze the influence of different irrigation levels and nitrogen fertilization doses on the spectral behavior of the Tanzania grass (Panicum maximum Jacq. cv. Tanzânia), as well as on its dry matter production (DM) and on the values of the leaf area index (LAI). The experiment was carried out in "Areão Farm", of the "Luiz de Queiroz" Agriculture School, in Piracicaba, São Paulo, from March to December of 2001. The trial consisted of a total of 25 plots, each one with 3m x 5m, installed in a continuous area of 25m x 15m, with a mean slope of 4%. The grass was submitted to five irrigation depths (0, 30, 70, 100 and 150% of the field capacity), and five nitrogen rates (0,100, 275, 756 and 2079 kg N.ha-1.year-1), applied by a drip fertirrigation system. During the experiment, seven spectroradiometric measurements were carried out on Tanzania grass field, with the spectroradiometer SPECTRON SE-590, in the visible and near infrared bands, with the purpose of obtaining the values of the Reflectance Factor (RF), in bands equivalent to TM3 and TM4 of the satellite LANDSAT, and of the Normalized Difference Vegetation Index (NDVI). According to the results obtained, it was possible to verify that the different irrigation depths did not have significant effect, at 5% of probability, on the values of DM, LAI and NDVI of the Tanzania grass, fact related to the excess of rain during the experimental phase. In relation to the used nitrogen rates, there was a significant effect of the treatments (p<0,05) on the values of DM, LAI and NDVI of the grass. The variables still presented a tendency of quadratic effects for the use of nitrogen, with better correlations observed in the period of higher moisture; when there were recorded the largest pluviometric indices. Nitrogen rates higher than 756 kg N.ha-1.year-1, did not provide increasing effects on the values of DM, LAI, and NDVI. For nitrogen levels higher than 1500 kg N.ha-1.year-1, it was observed a tendency of negative increment of the studied variables, possibly due to the secondary effects caused by the excess of nitrogen in the plant production. It was also observed that the values of DM, LAI, and NDVI, independently of the irrigation depths and nitrogen rates, were lower in the dry period, and higher in the humid period, allowing to conclude that climatic factors (solar radiation and temperature) influenced the results for the studied variables, still characterizing the "seasonality" of the grass. The dry matter production of Tanzania grass (DM) was significantly affected by the LAI, relationship this that was more defined in the crops related to the humid periods. Still, in the whole experimental period, there was a significant correlation between DM and NDVI; also between LAI and NDVI, evidencing the efficiency of the index in estimating those variables.

O estudo do comportamento espectral de plantas de interesse agronômico é de fundamental importância a atividades relacionadas a avaliações de produtividade via sensoriamento remoto. O presente trabalho teve por objetivo avaliar a influência de diferentes níveis de irrigação e doses de adubação nitrogenada no comportamento espectral do capim Tanzânia (Panicum maximum Jacq. cv. Tanzânia), bem como na sua produção de matéria seca (MS) e nos valores do índice de área foliar (IAF). O experimento foi conduzido na “Fazenda Areão”, da Escola Superior de Agricultura “Luiz de Queiroz”, Piracicaba, São Paulo, de março a dezembro de 2001. O delineamento experimental constou de um total de 25 parcelas, de 3m x 5m cada uma, instaladas em uma área contínua de 25m x 15m, com declividade média de 4%. A forrageira foi submetida a cinco níveis de irrigação (0, 30, 70, 100 e 150% da capacidade de campo) e cinco níveis de adubação nitrogenada (0, 100, 275, 756 e 2079 kg N.ha-1.ano-1), aplicados por um sistema de fertirrigação por gotejamento. Foram ainda realizadas no decorrer do experimento, sete medidas radiométricas sobre o dossel vegetal, com o espectrorradiômetro SPECTRON SE-590, nas faixas do visível e infravermelho próximo, com a finalidade de se obterem os valores do Fator de Reflectância (FR), em bandas equivalentes às TM3 e TM4 do satélite LANDSAT, e do Índice de Vegetação por Diferença Normalizada (NDVI). De acordo com os resultados obtidos, concluiu-se que não houve efeito significativo das lâminas de irrigação aplicadas (p<0,05) sobre os valores de MS, IAF e NDVI do capim Tanzânia, fato este relacionado ao elevado índice de precipitação ocorrido durante a fase experimental. Em relação as doses de nitrogênio empregadas, ocorreu efeito significativo dos tratamentos (p<0,05) sobre os valores de MS, IAF e NDVI da forrageira. As variáveis apresentaram ainda uma tendência de efeitos quadráticos para o uso de nitrogênio, com melhores correlações observadas no período de maior umidade; ou seja, quando foram notados os maiores índices pluviométricos. Por sua vez, dosagens de nitrogênio maiores que 756 kg N.ha-1.ano-1 não proporcionaram efeitos crescentes sobre os valores da MS, do IAF e do NDVI. Para dosagens superiores a 1500 kg N.ha-1.ano-1 existiu uma tendência de incremento negativo das variáveis estudadas, possivelmente em virtude de efeitos secundários causados pelo excesso de nitrogênio na produção vegetal. Percebeu-se ainda que os valores de MS, IAF e NDVI, independentemente das lâminas de irrigação e doses de nitrogênio empregadas, foram menores no período seco e maiores no período úmido, permitindo-se concluir que fatores climáticos (radiação solar e a temperatura) influenciaram os resultados encontrados para as variáveis estudadas, caracterizando ainda a “estacionalidade” da forrageira. A produção de MS do capim Tanzânia foi afetada significativamente pelo IAF, relação esta que ficou mais definida nos cortes relativos a períodos úmidos. Ainda, em todo o período experimental, houve uma correlação significativa entre a produção de MS e NDVI; também entre IAF e NDVI, evidenciando a eficiência do índice na estimativa dessas variáveis. / The study of the spectral behavior of plants of agronomic interest is of fundamental importance for the activities related to productivity evaluations through remote sensing. This present research had as a purpose to analyze the influence of different irrigation levels and nitrogen fertilization doses on the spectral behavior of the Tanzania grass (Panicum maximum Jacq. cv. Tanzânia), as well as on its dry matter production (DM) and on the values of the leaf area index (LAI). The experiment was carried out in “Areão Farm”, of the “Luiz de Queiroz" Agriculture School, in Piracicaba, São Paulo, from March to December of 2001. The trial consisted of a total of 25 plots, each one with 3m x 5m, installed in a continuous area of 25m x 15m, with a mean slope of 4%. The grass was submitted to five irrigation depths (0, 30, 70, 100 and 150% of the field capacity), and five nitrogen rates (0,100, 275, 756 and 2079 kg N.ha-1.year-1), applied by a drip fertirrigation system. During the experiment, seven spectroradiometric measurements were carried out on Tanzania grass field, with the spectroradiometer SPECTRON SE-590, in the visible and near infrared bands, with the purpose of obtaining the values of the Reflectance Factor (RF), in bands equivalent to TM3 and TM4 of the satellite LANDSAT, and of the Normalized Difference Vegetation Index (NDVI). According to the results obtained, it was possible to verify that the different irrigation depths did not have significant effect, at 5% of probability, on the values of DM, LAI and NDVI of the Tanzania grass, fact related to the excess of rain during the experimental phase. In relation to the used nitrogen rates, there was a significant effect of the treatments (p<0,05) on the values of DM, LAI and NDVI of the grass. The variables still presented a tendency of quadratic effects for the use of nitrogen, with better correlations observed in the period of higher moisture; when there were recorded the largest pluviometric indices. Nitrogen rates higher than 756 kg N.ha-1.year-1, did not provide increasing effects on the values of DM, LAI, and NDVI. For nitrogen levels higher than 1500 kg N.ha-1.year-1, it was observed a tendency of negative increment of the studied variables, possibly due to the secondary effects caused by the excess of nitrogen in the plant production. It was also observed that the values of DM, LAI, and NDVI, independently of the irrigation depths and nitrogen rates, were lower in the dry period, and higher in the humid period, allowing to conclude that climatic factors (solar radiation and temperature) influenced the results for the studied variables, still characterizing the “seasonality” of the grass. The dry matter production of Tanzania grass (DM) was significantly affected by the LAI, relationship this that was more defined in the crops related to the humid periods. Still, in the whole experimental period, there was a significant correlation between DM and NDVI; also between LAI and NDVI, evidencing the efficiency of the index in estimating those variables.

As áreas agrícolas vêm se tornando cada vez mais tecnificadas, onde o conhecimento das características físicas, químicas e mineralógicas dos solos se torna imprescindível para maximizar a produtividade. O Brasil possui uma grande extensão territorial, sendo que a maior parte não possui mapas de solos compatíveis com as necessidades agrícolas. Torna-se necessário fornecer subsídios à pesquisa pedológica referente ao aperfeiçoamento de técnicas que venham auxiliar os levantamentos de solos, tornando-os mais ágeis e econômicos. Para tanto, foram traçados os seguintes objetivos: caracterizar o comportamento espectral de solos nos níveis de campo, laboratório e orbital; correlacionar as alterações dos solos ao longo de topossequências com o caráter espectral; verificar a separabilidade das unidades de mapeamento e quantificar atributos dos solos através das respostas radiométricas; avaliar a eficiência prática da técnica. O trabalho foi conduzido em Barra Bonita, SP, onde predominam diferentes unidades de solos tais como LATOSSOLOS, ARGISSOLOS, CAMBISSOLOS e NITOSSOLOS com texturas de arenosas a muito argilosas. Na área foram demarcados pontos para amostragem em forma de grade (100 x 100 m). Todos os pontos de coleta foram georreferenciados, foram realizadas tradagens nas profundidades 0-20 e 80-100 cm. As amostras de terra foram encaminhadas ao laboratório para análises físicas, químicas. Foram obtidos dados espectrais através de espectroradiômetro em laboratório e campo. Foi realizado um mapa de solos detalhado pelo método convencional, incluindo a caracterização de perfis. Através dos dados espectrais obtidos nos níveis orbital e laboratório foram geradas equações discriminantes para os solos e equações lineares de regressão múltipla para vários atributos do solo. Os atributos dos solos foram comparados com valores estimados pelas equações e os valores determinados nas análises de laboratório para verificar a veracidade dos dados espectrais e a variabilidade da metodologia proposta. Na medida em que ocorrem alterações dos solos ao longo de uma topossequência, o comportamento espectral detectado pelos sensores, se altera. A análise descritiva das curvas espectrais descritas em literatura fornece poucos detalhes na discriminação de solos. É possível discriminar solos por sensor terrestre e orbital com 81 e 40 % de acerto respectivamente. A estimativa de teores de ferro por sensores terrestre e orbital auxilia na classificação de solos. É possível quantificar atributos do solo como areia, argila e ferro por sensores em laboratório, e, com menor índice de significância por sensores orbitais. / The agricultural areas are becoming more and more technified, where the knowledge of the physical, chemical and mineralogical characteristics of soils becomes indispensable to maximize crop productivity. Brazil possesses a great territorial extension, and most of the areas do not possess soil maps compatible with the agricultural needs. Modern technological improvements signal the necessity of supplying data to soil research, especially those areas regarding soil survey, with the objective of turning soil survey more agile and economic. The following objectives were traced: characterize the spectral behavior of soils in field, laboratory and orbital levels; correlate the alterations of soils along toposequences with the spectral character; verify the discrimination of mapping units and quantify attributes of the soils through their spectral responses; evaluate the practical efficiency of the technique. The work was done in Barra Bonita, SP, where Oxisol, Alfisol, Inceptisol e Ultisol with textures of sandy to very loamy dominate. In the study area, samples were taken following a 100 x 100 m grid. All the points were georeferenced and soil samples were obtained in the depths 0-20 and 80-100 cm. The soil samples were taken to the laboratory for physical and chemical analyses. After that, the spectral data were obtained using a spectroradiometer in laboratory, field and orbital levels. A detailed soil maps was done by the conventional method, including the characterization of profiles. Through the spectral data obtained in the orbital and laboratory levels, discriminant equations were generated for the soils and linear equations of multiple regression for several attributes of the soil. The soil attributes were compared with values quantified by the equations and values determined in laboratory analyses to verify the accuracy of the spectral data and the variability of the methodology proposal. As the soils modifications occur along a toposequence, the spectral behavior detected by the sensors becomes different. The descriptive analysis of the spectral curves described in literature supplies few details of soil discrimination. It is possible to discriminate soils by terrestrial and orbital sensors with 81 and 40% of success, respectively. The estimation of the iron content by terrestrial and orbital sensors aids in the classification of soils. It is possible to quantify attributes of the soil as sand, clay and iron using a sensor in the laboratory, and, with smaller accuracy by orbital sensors.

Dans cette thèse, nous étudions un phénomène optique souvent ignoré en vision par ordinateur : les inter-réflexions. Les inter-réflexions, qui peuvent être trouvées dans l’état de l’art sous le nom « illumination mutuelle », se produisent quand une surface concave est illuminée. Dans ce cas, un rayon lumineux venant de la source de lumière vers un point de la surface, va réfléchir vers d’autres points de la même surface plusieurs fois avant d’arriver à nos yeux, ou aux capteurs de l’appareil photo. Donc, un rayon inter-réfléchi entre les différents points de la surface concave, d’où le nom « inter-réflexions». Les inter-réflexions conduisent aux variations de couleurs, ou gradients de couleurs, sur la totalité de la surface concave. Ces variations sont plus au moins prononcées selon plusieurs facteurs comme la réflectance de la surface et sa géométrie. Dans ce manuscrit, nous allons montrer que ces variations de couleurs contiennent en elles des informations importantes qui méritent d’être utilisées en vision par ordinateur. Ces mêmes variations jouent un rôle important dans la perception ce qui permet à l’être humain une meilleure constance de couleur, comme montré par nos résultats empiriques. Dans l’objectif d’utiliser efficacement les inter-réflexions pour quelques applications en vision par ordinateur, nous introduisons dans ce manuscrit un modèle spectral d’inter-réflexions prenant en compte une infinité de rebonds. Ce modèle construit sur des bases radiométriques nous permet de définir la relation entre les valeurs RGB brut correspondant à la surface concave dans l’image d’un côté, et la réflectance spectrale et la géométrie de cette même surface, la distribution de puissance spectrale de l’éclairage (SPD), et les courbes des réponses spectrales de l’appareil photo de l’autre côté. Grâce à ce modèle, nous sommes capables d’étudier plusieurs applications d’inter-réflexions en estimation spectrale. Nous montrons que l’estimation de la réflectance spectrale à partir d’une seule image RGB, une tâche qui est quasi-impossible sans apprentissage même sous un éclairage connu, est devenue possible grâce aux inter-réflexions. Nos résultats ontdémontré que l’estimation de la réflectance spectrale d’une surface concave donne une précision similaire, et même parfois meilleure, en comparaison avec les approches de l’état de l’art qui ont besoin de trois images de la même surface prises sous trois différents éclairages. De plus, les inter-réflexions nous ont aidés à proposer une application plus concrète de l’estimation de la réflectance spectrale dans laquelle il est possible d’utiliser un spectre d’un éclairage standard sans nécessiter un pré-calibrage pour les paramètres de l’acquisition. Par la suite, nous démontrons que les inter-réflexions sont aussi utiles dans des applications qui utilisent des mires de couleurs, comme par exemple la caractérisation de l’appareil photo. La nature de l’inter-réflexion sur une surface d’une seule couleur conduit aux couleurs spéciales qui sont les résultats des multiplications de la réflectance spectrale avec elle-même de multiples fois. Utiliser ces couleurs avec notre modèle d’inter-réflexion aide à introduire de la non-linéarité sur les mires de couleurs et donc à obtenir une meilleure caractérisation spectrale. Par conséquent, utiliser des mires de couleurs 3D est plus bénéfique qu’ajouter des nouvelles couleurs aux mires 2D. Finalement, nous entraînons un réseau neuronal convolutif sur des images simulés d’inter-réflexions dans le but d’estimer à la fois la réflectance spectrale de la surface et la SPD de l’éclairage d’une seule image RGB. Nos résultats expérimentaux démontrent que notre approche est capable d’estimer les deux spectres avec une très bonne précision en comparaison avec les autres approches. De plus, cette approche fonctionne très bien sur les images réelles grâce aux niveaux de bruits ajoutés dans le processus d’apprentissage. / In this thesis, we study an optical phenomenon often ignored in computer vision, the interreflection phenomenon. Interreflections, which can also be found in the literature under the name mutual illumination happen whenever a concave surface is illuminated. As the name tells, a light ray coming from the light source and hitting a surface point will reflect toward some other point, then another, and so on, before reaching the camera sensor or the eye. Hence, a ray does inter-reflect between the different points of a concave surface. Interreflections lead to color variations, or color gradients, all over the concave surface. These variations are more or less pronounced depending on many factors including, but not limited to, the surface reflectance and its geometry. We will show in this manuscript that these color variations hold some important information which is worth to be used in computer vision. They also play an important role in perception leading to a better color constancy in human vision as demonstrated in our experiments. In order to be able to efficiently use interreflections in some computer vision applications, a spectral infinite-bounce model of interreflections is introduced in the manuscript. This radiometric model allows us to define the relation between the raw RGB values correspondingto the concave surface in the image on one side, and the spectral reflectance and the geometry of this surface, the spectral power distribution of the light and the spectral responses of the camera sensors on the other side. Thanks to this model, we were able to study some applications of interreflections in spectral estimation. We show that a task, such as spectral reflectance estimation form a single RGB image, which is almost impossible without learning even under known illuminant and spectral responses of the camera, is made possible thanks to interreflections. Our results show that, spectral reflectance estimation of a folded surface gives a similar accuracy and sometimes a better one when compared to the state of the art approaches that need three different images of the flat surface taken under three different illuminants. Moreover, interreflections help in proposing a more concrete application of spectral reflectance estimation where a standard light SPD can be used and no pre-calibration for the acquisition settings is needed. Later, we show that interreflections are useful in some applications which need color charts such as camera characterization. The nature of interreflections leads to special colors resulted from raising the spectral reflectance to multiple powers. Using these colors along with the interreflection model helps in introducing some non linearly-related information and thus in obtaining a better spectral characterization. Hence, using 3D color charts is more beneficial than adding new colors to 2D color charts. Finally, we train a convolutional neural network on simulated images of interreflections in order to get an estimation of both the spectral reflectance and the SPD of light from a single RGB image. The experimental results show that our approach is able to get both spectra with a very good accuracy compared to other approaches. In addition, this approach performs very well on real images thanks to the added noises in the training process.

This dissertation presents the development and use of a novel optical imaging system capable of monitoring changes in blood flow, oxygenated hemoglobin, deoxygenated hemoglobin, and absolute pO₂ in the brain. There are several imaging modalities capable of monitoring these parameters separately. Laser speckle contrast imaging (LSCI) and multi-spectral reflectance imaging (MSRI) have been used to monitor relative blood flow and hemoglobin changes respectively. Phosphorescence quenching, while not typically used for imaging, is capable of noninvasive measurements of pO₂. Combining these three techniques has led to the development of an imaging system that could ultimately lead to a better understanding of brain physiology. By combining techniques such as LSCI and MSRI, it becomes possible to estimate the cerebral metabolic rate of oxygen (CMRO₂), an important indicator of neuronal function. It is equally important to understand absolute pO₂ levels so that oxygen metabolism can be examined in context. Integrating phosphorescence quenching and a spatial light modulator into the imaging system allowed absolute pO₂ to be simultaneously measured in distinct regions. This new combined system was used to investigate pathophysiological conditions such as cortical spreading depression (CSD) and ischemia. The observed hemodynamic changes associated with these events were largely dictated by baseline oxygen levels and varied significantly in different regions. This finding highlighted the importance of having a system capable of monitoring hemodynamic changes and absolute pO₂ simultaneously while maintaining enough spatial resolution to distinguish the changes in different regions. It was found that animals with low baseline pO₂ were unable to deliver enough oxygen to the brain during events like CSD because of the high metabolic demand. In order for this technique to become more prevalent among researchers, it is essential to make it cost effective and simple to use. This was accomplished by replacing the expensive excitation sources with cheaper light emitting diodes (LEDs) and redesigning the software interface so that it was easier to control the entire device. The final system shows the potential to become a key tool for researchers studying the role of absolute pO₂ and other hemodynamic parameters during pathophysiological conditions such as CSD and ischemia. / text

We investigate the electronic band structure of device relevant GaInNAs/GaAs multiple quantum wells (MQWs) and veitical-cavity surface-emitting laser (VCSEL) structures. We report photo-modulated reflectance (PR) studies under applied pressure and variable temperature that probe the influence of N-related states on the electronic structure of dilute nitrogen (N) III-V MQWs. The pressure and temperature dependence of the intersubband transitions within the MQWs is reduced by addition of N. By matching our experimental results with a theoretical model important predictions for the ground-state electron effective mass and conduction band offset as a function of N and pressure are made. We present results of angle- and temperature-dependent electro-reflectance (ER) measurements on a dilute-N GaInNAs VCSEL and show that these explain how the corresponding VCSEL device can operate over a such a wide range of temperatures. We argue that intrinsic properties of dilute-N QWs provide novel ways to design laser devices, especially in the crucial telecommunication range of wavelengths. We show how non-destructive ER and PR measurements can be used, in order to estimate the QW transition energy when it is coupled with the cavity mode (CM). The energy of the main exciton is determined by monitoring the amplitude and the phase of the PR spectra. The ER measurements are presented on the GaInNAs VCSEL described in the previous paragraph. Furthermore we present a growth characterisation study on a representative InGaAs/GaAs/AlAs/AlGaAs as-grown VCSEL structure, using PR spectroscopy as a function of position on a non-uniform wafer. We also show how temperature dependent PR and the appropriate lineshape model can be used to obtain a full picture of the relative movements between the gain and the CM over the full range of temperature. This information allows calculating the material gain in the temperature range of interest, independent from the effect of the CM and also provides an alternative method for characterising the growth, which can be applied to uniform wafers. PR and non-destructive ER can be used to identify regions suitable for fabrication into devices. For this reason modulation spectroscopy can be very useful for industry to reject wafers where good alignment between the CM and the QW does not occur and can thus save on the time consuming and expensive fabrication procedures.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The traditional soil analysis many techniques are used in order to determine the physical and chemical properties of the soil. The radiometry appears as a promising alternative technique in the analysis of soil properties. This technique has demonstrated great potential for identification and quantification of certain properties of the soil. It is a non-destructive and non-polluting tool, with the ability to collect data on large spatial dimensions with relative speed. The radiometry may in cases be simpler than the traditional analysis of the soil and on various occasions, more accurately. The main objective of this study was to determine pedotransfer functions to soil properties based on radiometric data. It was observed that the heterogeneity of the soil decreases the accuracy of the models, however it was possible to construct prediction functions for the content of sand, silt, clay and soil organic matter from the radiometry with a level of prediction models acceptable. Considering that, in the prediction of soil properties using radiometry, there is no reagents spending and less resource invested beyond the analysis time shorter than the traditional analysis, the results were promising. / Na análise tradicional do solo muitas técnicas são utilizadas na tentativa de determinar suas propriedades físicas e químicas. A radiometria aparece como uma técnica alternativa e promissora na análise de propriedades do solo. Essa técnica tem demonstrado grande potencial na identificação e quantificação de determinadas propriedades do solo. Trata-se, de uma ferramenta não destrutiva, não poluidora, com capacidade de coleta de dados em grandes dimensões espaciais com relativa velocidade. A radiometria pode, em muitos casos, ser mais simples do que a análise tradicional do solo e em várias ocasiões, mais precisa. O principal objetivo desse trabalho foi determinar funções de pedotransferência para as propriedades do solo tendo como base os dados da radiometria. Observou-se que a heterogeneidade do solo diminui a precisão dos modelos, porém foi possível construir funções de predição para o teor de argila, areia, silte e matéria orgânica do solo a partir da radiometria com um nível de predição dos modelos aceitável. Considerando que, na predição das propriedades do solo utilizando a radiometria, não há gastos com reagentes e menos recursos investidos além do tempo de análise menor que a análise tradicional, os resultados apresentados foram promissores.

The construction of dams results in hydrological impacts as they alter the natural flow of water of a river. Remote sensing is a tool capable of helping the monitoring of water quality by enabling acquisition of information for spatial and temporal analysis of its composition. This paper presents the analysis of the Influence of the optically active constituents on the spectral reflectance of the water of Passo Real reservoir. For this, limnological and spectral data were collected in October 2009 and March 2010 in 31 sampling stations in the reservoir. The limnological variables total of suspended solids (TSS), chlorophyll a (Chl a), dissolved organic carbon (DOC) and water transparency were determined on field and laboratory. Spectral data were acquired on field by using FieldSpec® HandHeld spectroradiometer. Results showed the most concentration of TSS and Chl a in October may be related with greater occurrence of rain in that period. TSS was greater in October resulting a reduction of water transparency. DOC maintained similar average in both analyzed months, still it was found that sampling points location with above average concentration were located in water compartments with higher concentration of Chl a. Exclusively using Chl a as indicator of trophic state we found environments between oligotrophic to hypereutrophic. Reflectance was higher in October 2009 in all wavelengths, because of high concentration of TSS. Two features of absorption were observed in both dates, centered in 610 and 675 nm due to the presence of Chl a. On account of the great concentrations in some sampling points in October, the peak in the infrared region presented higher magnitude than the peak in the green region and in some cases the spectrum was similar to the earth vegetation spectral response. DOC did not present enough concentrations to produce, significantly, spectrum alterations. Each information extraction technique in spectral reflectance better showed certain spectral characteristics. First derivative showed itself efficient on the characterization of Chl a effects, this technique contrasted the influence of this pigment especially on the wavelengths of 438, 566, 685 and 700 nm and the absorption band through pure water in 740 nm. By applying statistics tests, we could prove the influence of limnological variables on the reservoir water spectral characteristics and identify wavelengths with strong correlation between variables. In October we verified the joint acting of Chl a with TSS in water reflectance. Also, it was proved the influence of Chl a on the spectral response of the reservoir water, especially on greater concentrations. / A construção de represas acarreta impactos de caráter hidrológico ao modificar o fluxo natural das águas de um rio. O sensoriamento remoto é uma ferramenta capaz de auxiliar a tarefa de monitoramento da qualidade da água ao possibilitar a aquisição de informações para análise espacial e temporal da sua composição. O presente trabalho apresenta a análise da influência dos constituintes opticamente ativos na reflectância espectral da água do reservatório Passo Real. Para isso, foram realizadas coletas de dados limnológicos e espectrais nos meses de outubro de 2009 e março de 2010 em 31 estações amostrais no reservatório. Em campo e em laboratório foram determinadas as variáveis limnológicas totais de sólidos em suspensão (TSS), clorofila a (Chl a), carbono orgânico dissolvido (COD) e transparência da água. Os dados espectrais foram adquiridos em campo com uso do espectrorradiômetro FieldSpec® HandHeld. Os resultados encontrados mostraram que a maior concentração de TSS e Chl a no mês de outubro pode estar relacionada com a maior ocorrência de chuvas naquele período. O TSS foi maior em outubro o que ocasionou a redução da transparência da água. O COD manteve médias semelhantes nos dois meses analisados, porém constatou-se que a localização de pontos amostrais com concentrações acima da média estavam localizados em compartimentos aquáticos com maiores concentrações de Chl a. Utilizando exclusivamente a Chl a como indicadora do estado trófico encontraram-se ambientes entre oligotrófico a hipereutrófico. A reflectância foi mais elevada em outubro de 2009 em todos os comprimentos de onda, devido às altas concentrações de TSS. Em ambas as datas foram observadas duas feições de absorções centradas em 610 e 675 nm devido à presença de Chl a. Em função das altas concentrações em alguns pontos amostrais no mês de outubro, o pico na região do infravermelho apresentou maior magnitude do que o pico na região do verde e em alguns casos, o espectro assemelhou-se mais com a resposta espectral da vegetação terrestre. O COD não apresentou concentrações suficientes para produzir, de forma significativa, alterações nos espectros. Cada técnica de extração de informações em espectros de refletância ressaltou melhor determinadas características espectrais. A primeira derivada mostrou-se eficiente na caracterização dos efeitos da Chl a, esta técnica contrastou a influência deste pigmento principalmente nos comprimentos de onda de 438, 566, 685 e 700 nm. A remoção do contínuo ressaltou as bandas de absorção da Chl a em 493, 611, 676 nm e a banda de absorção pela água pura em 740 nm. Com a aplicação de testes estatísticos, pode-se comprovar a influência das variáveis limnológicas sobre as características espectrais da água do reservatório e identificar os comprimentos de onda com fortes correlações entre as variáveis. No mês de outubro verificou-se a atuação conjunta da Chl a com o TSS na reflectância da água. Também ficou comprovada a influência da Chl a na resposta espectral da água do reservatório, principalmente em maiores concentrações.

Stem rot of peanut (Arachis hypogaea L.), caused by a soilborne fungus Athelia rolfsii (Curzi) C. C. Tu and Kimbr. (anamorph: Sclerotium rolfsii Sacc.), is one of the most important diseases in peanut production worldwide. Though new varieties with increased partial resistance to this disease have been developed, there is still a need to utilize fungicides for disease control during the growing season. Fungicides with activity against A. rolfsii are available, and several new products have been recently registered for control of stem rot in peanut. However, fungicides are most effective when applied before or during the early stages of infection. Current scouting methods can detect disease once signs or symptoms are present, but to optimize the timing of fungicide applications and protect crop yield, a method for early detection of soilborne diseases is needed. Previous studies have utilized optical sensors combined with machine learning analysis for the early detection of plant diseases, but these studies mainly focused on foliar diseases. Few studies have applied these technologies for the early detection of soilborne diseases in field crops, including peanut. Thus, the overall goal of this research was to integrate sensor technologies, modern data analytic tools, and properties of standard and newly registered fungicides to develop improved management strategies for stem rot control in peanuts. The specific objectives of this work were to 1) characterize the spectral and thermal responses of peanut to infection with A. rolfsii under controlled conditions, 2) identify optimal wavelengths to detect stem rot of peanut using hyperspectral sensor and machine learning, and 3) evaluate the standard and newly registered peanut fungicides with different modes of action for stem rot control in peanuts using a laboratory bioassay. For Objective 1, spectral reflectance and leaf temperature of peanut plants were measured by spectral and thermal sensors in controlled greenhouse experiments. Differences in sensor-based responses between A. rolfsii-infected and non-infected plants were detected 0 to 1 day after observation of foliar disease symptoms. In addition, spectral responses of peanut to the infection of A. rolfsii were more pronounced and consistent than thermal changes as the disease progressed. Objective 2 aimed to identify specific signatures of stem rot from reflectance data collected in Objective 1 utilizing a machine learning approach. Wavelengths around 505, 690, and 884 nm were repeatedly selected by different methods. The top 10 wavelengths identified by the recursive feature selection methods performed as well as all bands for the classification of healthy peanut plants and plants at different stages of disease development. Whereas the first two objectives focused on disease detection, Objective 3 focused on disease control and compared the properties of different fungicides that are labeled for stem rot control in peanut using a laboratory bioassay of detached peanut tissues. All of the foliar-applied fungicides evaluated provided inhibition of A. rolfsii for up to two weeks on plant tissues that received a direct application. Succinate dehydrogenase inhibitors provided less basipetal protection of stem tissues than quinone outside inhibitor or demethylation inhibitor fungicides. Overall, results of this research provide a foundation for developing sensor/drone-based methods that use disease-specific spectral indices for scouting in the field and for making fungicide application recommendations to manage stem rot of peanut and other soilborne diseases. / Doctor of Philosophy / Plant diseases are a major constraint to crop production worldwide. Developing effective and economical management strategies for these diseases, including selection of proper fungicide chemistries and making timely fungicide application, is dependent on the ability to accurately detect and diagnose their signs and/or symptoms prior to widespread development in a crop. Optical sensors combined with machine learning analysis are promising tools for automated crop disease detection, but research is still needed to optimize and validate methods for the detection of specific plant diseases. The overarching goal of this research was to use the peanut-stem rot plant disease system to identify and evaluate sensor-based technologies and different fungicide chemistries that can be utilized for the management of soilborne plant diseases. The specific objectives of this work were to 1) characterize the temporal progress of spectral and thermal responses of peanut to infection and colonization with Athelia rolfsii, the causal agent of peanut stem rot 2) identify optimal wavelengths to detect stem rot of peanut using hyperspectral sensor and machine learning, and 3) evaluate standard and newly registered peanut fungicides with different modes of action for stem rot control in peanuts using a laboratory bioassay. Results of this work demonstrate that spectral reflectance measurements are able to distinguish between diseased and healthy plants more consistently than thermal measurements. Several wavelengths were identified using machine learning approaches that can accurately differentiate between peanut plants with symptoms of stem rot and non-symptomatic plants. In addition, a new method was developed to select the top-ranked, non-redundant wavelengths with a custom distance. These selected wavelengths performed better than using all wavelengths, providing a basis for designing low-cost optical filters to specifically detect this disease. In the laboratory bioassay evaluation of fungicides, all of the foliar-applied fungicides provided inhibition of A. rolfsii for up to two weeks on leaf tissues that received a direct application. Percent inhibition of A. rolfsii decreased over time, and the activity of all fungicides decreased at a similar rate. Overall, the findings of this research provide a foundation for developing sensor-based methods for disease scouting and making fungicide application recommendations to manage stem rot of peanut and other soilborne diseases.

Master of Science / Department of Statistics / Leigh Murray / Using remotely sensed reflectance data is an appealing tool for controlling invasive species of grasses by rangeland managers. Recent developments in functional data analysis include the functional boxplot (FBP) which is shown here to be a useful tool in the visualization of reflectance data. Functional boxplots are a novel method of visually inspecting functional data and determining the presence of outliers in the data. Implementation and interpretation of FBPs are both straightforward and intuitive. The goal of this study is to examine the use of FBPs for visualizing reflectance data, and to determine the efficacy of using the FBP to distinguish between native tall grasses and invasive Old World Bluestem (OWB, Bothriochloa spp.) monocultures in a Kansas prairie. Validation trials were conducted in order to determine the stability of the FBP when used to analyze spectral data. FBPs were shown to be highly stable for use with both native and OWB grasses at all times and subsets of wavelengths tested. Identification trials were conducted by introducing a single OWB observation to a test set of native tall grass observations and constructing a FBP. Results indicate that using observations recorded early in the growing season, the functional boxplot is able to successfully identify the OWB observation as an outlier in a test set of native tall grass observations with an estimated probability 100% and 95.45% when considering the visible and cellular spectrums, respectively. A 95% lower bound for the probability of successfully identifying the OWB observation using the cellular spectrum in May is found to be 89.67%.