To eliminate uncertainties introduced by extinction by dust in the optical, we examine to what extent the radio continuum (RC) can probe star formation in dwarf galaxies. Star formation (SF) drives galaxy formation and evolution; acquiring accurate measurements of SF thus becomes crucial in order to understand galaxies. As radio technology improves further, RC surveys will probe the fainter, more quiescent regime of the radio sky. Having a robust manner by which to convert RC luminosities to star formation rate (SFR) has the potential to provide millions of independent SFR measurements out to intermediate redshifts. In order to calibrate the RC to infer SFR, the 40 dwarf galaxies that make up the LITTLE THINGS sample were chosen as the bedrock of the thesis due to the large range of galactic parameters that they cover. RC observations of these galaxies were taken with the VLA between L- and Ka-band (1-33GHz) using the B-, C-, and Darrays, yielding images with 3-10" resolution and rms noise levels between 3 and 15 μJy beam⁻¹. On a global scale, 27 out of the 40 dwarf galaxies exhibited RC emission above the detection threshold, 17 of which were new RC detections. The general picture is an interstellar medium (ISM) largely void of RC emission, interspersed by isolated pockets of RC associated with SF regions; this general picture agreed with what was expected given current models of dwarf galaxies - weaker magnetic fields in the ISM leading to a higher escape of CRe (and resulting reduction in RCNTh emission). This was also backed-up by the relatively low RCNTh fraction - 61 ± 7% at C-band. The observed RC-SFR relation was calibrated to allow the observed RC luminosity of a gas rich dwarf galaxy to be used to infer the SFR; the calibration takes the form SFR [M⊙ yr⁻¹] = 5 x 10⁻¹⁸(RC [WHz⁻¹])0.85. On a resolved basis, only the RCNTh was examined - this is because whether scales of 1 pc, or 1 kpc are investigated, the relationship between the Hα (current SF) and RCTh was not expected to change. Calibrating the resolved RCNTh-SFR relation was best done when using discrete SF regions which varied from 10s up to 100s of pc in size. On these scales, the calibration allows the SFR to be inferred from an observed RCNTh luminosity, and takes the form SFR [M⊙ yr⁻¹] = 1.36 x 10⁻²³(LNTh [WHz⁻¹])1.15. This calibration, however, is only valid for resolved regions forming stars at a rate ≳ 2 x 10⁻⁴M⊙ yr⁻¹. Despite the low flux densities of RCNTh measured from these discrete SF regions, the RCNTh still works well as a SFR tracer whereas Hα, which is largely dependent on stars with mass ≳ 18M⊙, and is thus dependent on the high mass tail of the stellar IMF, will suffer from stochasticity. In a few dwarfs, the equipartition magnetic field strength reaches as high as 30 μG in multiple 100 pc regions, and in one case, 70 μG. However, generally, the weaker magnetic fields in the ISM give the CRe longer lifetimes, and thus more time to be advected out of the galaxy with the magnetic fields frozen into the gas in outflows, or diffuse. This explains in part the lack of RCNTh emission observed in the ISM of dwarf galaxies. Through implementing a simple galactic CRemodel, itwas found that the RCNTh emission associated with the CRe can be used as a SF tracer from approximately 5 up to 70Myr following a burst of SF, while RCTh can be used in its absence prior to 5Myr. The RCNTh luminosity reaches its peak approximately 55Myr after the SF episode, but actually remains nearly constant over the 60Myr following the SF episode, highlighting its potential to be used to infer SFR. The CRemodel also tracked the evolution of the RCNTh spectral index with time. Between values of about -0.4 and -0.7, the RCNTh spectral index can be calibrated to infer the time elapsed since a burst of SF through t[Myr] = -25αNTh. RCNTh spectral indices of -0.8 are consistent with ages between 20 and 55Myr, suggesting that the oft observed spectral index of -0.8 in galaxies may come from the fact that C-band RCNTh emission is dominated by the steep spectral indices of -0.8 from these older SF regions (20-55Myr). For the galaxies that displayed RCNTh emission that was bright enough and sufficiently well resolved, a spectral decomposition of the RC spectrum was performed to infer Hα-independent RCTh, RCNTh, and RCNTh spectral index maps. The spectral decomposition showed DDO50 and NGC1569 to have a low thermal fraction of 23% and 10%, respectively, at C-band, while NGC2366 and NGC4214 were shown to have higher thermal fractions of 48% and 66%, respectively. In summary, dwarf galaxies are not only faint in the RC due to their lower SF activity, but they are also fainter than expected due to CRe escape. Nonetheless, the RC can be used to probe SF in dwarf galaxies not only on a global scale, but also within discrete SF complexes 10s to 100s of pc in size. Theoretically, the RC can be used right from the onset of a burst of SF, where RCTh will dominate, up to ~ 70Myr, at which point RCNTh will dominate. Calibrated by the RC observations in this thesis, both resolved and global SFRs of gas rich, low mass galaxies can be inferred with an uncertainty of ±0.2 dex; the relations allow SFRs of between approximately 2x10⁻⁴ and 0.1M⊙ yr⁻¹ to be inferred.

Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. Consequently, employing Deep Learning (DL) for RS applications has attracted much attention over the past few years. In this thesis, novel datasets consisting of satellite RS images over urban areas in Sweden were compiled from Sentinel-2 multispectral, Sentinel-1 Synthetic Aperture Radar (SAR) and Urban Atlas 2018 Land Use/Land Cover (LULC) data. Then, DL was applied for multiband and multiclass semantic image segmentation of LULC. The contributions of complementary spectral, temporal and SAR data and spectral indices to LULC classification performance compared to using only Sentinel-2 data with red, green and blue spectral bands were investigated by implementing DL models based on the fully convolutional network-based architecture, U-Net, and performing data fusion. Promising results were achieved with 25 possible LULC classes. Furthermore, almost all DL models at an overall model level and all DL models at an individual class level for most LULC classes benefited from complementary satellite RS data with varying degrees of classification improvement. Additionally, practical knowledge and insights were gained from evaluating the results and are presented regarding satellite RS data characteristics and semantic segmentation of LULC in urban areas. The obtained results are helpful for practitioners and researchers applying or intending to apply DL for semantic segmentation of LULC in general and specifically in Swedish urban environments.

Scintillation of Global Positioning Systems (GPS) signals have been extensively studied at low and high latitude regions of the Earth. It has been shown in past studies that amplitude scintillation is severe at low latitudes and phase scintillation is severe at high latitudes. Unlike low and high latitude regions, mid-latitude scintillation has not been extensively studied. Further, it has been suggested that mid-latitude scintillation is negligible. The purpose of this research is to challenge this belief. A multi-constellation and multi-frequency receiver, that tracks American, Russian, and European satellites, was used to monitor scintillation activity at the Virginia Tech Space Center. Analysis was performed on collected data from various days and compared to past research done at high, mid, and low latitudes. The results are discussed in this thesis. / Master of Science

<p dir="ltr">Among the major row crops in the United States, corn and soybeans stand out due to their high nutritional value and economic importance. Achieving optimal yields is restrained by the challenge of fertilizer management. Many fields experience yield losses due to insufficient mineral nutrients like nitrogen (N), while excessive fertilization raises costs and environmental risks. The critical issue is the accurate determination of fertilizer quantity and timing, underscoring the need for precise, early-stage diagnostics. Emerging high-throughput plant phenotyping techniques, notably hyperspectral imaging (HSI), have been increasingly utilized to identify plant’s responses to abiotic or biotic stresses. Varieties of HSI systems have been developed, such as airborne imaging systems and indoor imaging stations. However, most of the current HSI systems’ signal quality is often compromised by various environmental factors. To address the issue, a handheld hyperspectral imager known as LeafSpec was recently developed at Purdue University and represents a breakthrough with its ability to scan corn or soybean leaves at exceptional spatial and spectral resolutions, improving plant phenotyping quality at reduced costs. Most of the current HSI data processing methods focus on spectral features but rarely consider spatially distributed information. Thus, the objective of this work was to develop a methodology utilizing spatial-spectral features for accurate and reliable diagnostics of crop N nutrient stress. The key innovations include the designing of spatial-spectral features based on the leaf venation structures and the feature mining method for predicting the plant nitrogen condition. First, a novel analysis method called the Natural Leaf Coordinate System (NLCS) was developed to reallocate leaf pixels and innovate the nutrient stress analysis using pixels’ relative locations to the venation structure. A new nitrogen prediction index for soybean plants called NLCS-N was developed, outperforming the conventional averaged vegetation index (Avg. NDVI) in distinguishing healthy plants from nitrogen-stressed plants with higher t-test p-values and predicting the plant nitrogen concentration (PNC) with higher R-squared values. In one of the test cases, the p-values and R-squared values were improved, respectively, from 2.1×10^-3 to 6.92×10^-12 and from 0.314 to 0.565 by Avg. NDVI and NLCS-N. Second, a corn leaf venation segmentation algorithm was developed to separate the venation structure from a corn leaf LeafSpec image, which was further used to generate 3930 spatial-spectral (S-S) features. While the S-S features could be the input variable to build a PNC prediction model, a feature selection mechanism was developed to improve the models’ accuracy in terms of reduced cross-validation errors. In one of the test cases, the cross-validation root mean squared errors were reduced compared with the leaf mean spectra from 0.273 to 0.127 using the selected features. Third, several novel spatial-spectral indexes for corn leaves were developed based on the color distributions at the venation level. The top-performing indexes were selected through a ranking system based on Cohen’s d values and the R-squared values, resulting in a best-performing S-S N prediction index with 0.861 R-squared values for predicting the corn PNC in a field assay. The discussion sections provided insights into how a robust PNC prediction index could be developed and related to plant science. The methodologies outlined offer a framework for broader applications in spatial-spectral analysis using leaf-level hyperspectral imagery, serving as a guide for scientists and researchers in customizing their future studies within this field.</p>

This master’s thesis provides a comprehensive overview of the conventional neutron sources from the perspective of reactions which lead to the production of neutrons, advantages, disadvantages, properties and their possible utilization. In the relation to the assembly of the laboratory neutron source and the unique experimental stand “Candle” basic methods of the neutron field analysis are outlined and two of them, the neutron activation analysis and the calculation using the MCNP software code are discussed in depth to apply and compare these methods. The experimental part deals with the realization of neutron activation analysis from its design itself, through gamma spectrometry to the cadmium ratio calculation. In compliance with the measurements, a calculation with MCNP code was run and both methods were evaluated and compared. The computation is complemented with the analysis of radiation situation on the borders of the supervised area, which is compared to the legal limit.

La pollution sonore est un problème majeur pour les résidents des zones urbaines. La directive Européenne 2002/49/CE impose aux états membres l’établissement de cartes de bruit. Ces dernières sont construites sur la base de l’indice énergétique Lden, également utilisé dans les relations dose-effet établies pour prédire la gêne. Toutefois, pour l’évaluation de la gêne due au bruit dans les zones urbaines, la pertinence de cet indice est souvent remise en question. En effet, de nombreuses études ont montré que les caractéristiques temporelles et spectrales des bruits environnementaux influencent aussi les réponses de gêne et ne sont pas prises en compte dans cet indice. Cette thèse vise à contribuer à l’amélioration de la caractérisation de la gêne due au bruit des véhicules routiers en ville. Elle est basée sur des expériences réalisées en laboratoire. Elle comprend deux parties principales. La première partie a comme objectif de progresser sur la caractérisation physique et perceptive du bruit des passages de divers véhicules routiers en milieu urbain tels que les bus, les deux-roues motorisés, les poids lourds et les véhicules légers. Une attention particulière a été portée sur la caractérisation de la gêne due aux deuxroues motorisés qui sont cités parmi les véhicules routiers les plus gênants et sont peu étudiés dans la littérature. Dans cette perspective, un indicateur acoustique caractéristique de la gêne due au bruit routier urbain a été déterminé : il rend compte de différents attributs auditifs gênants en associant la sonie, un indice spectral et deux indices de modulation proposés dans le cadre de ces travaux. Dans les zones urbaines, les riverains sont souvent exposés à la circulation routière en présence d’autres sources de bruit de l’environnement. L’objectif principal de la deuxième partie est la prédiction de la gêne totale due au bruit du trafic routier urbain combiné avec le bruit de tramway. Dans le but de caractériser la gêne totale, les phénomènes perceptifs liés à la combinaison de ces bruits sont tout d’abord étudiés. Ensuite, l’indicateur proposé précédemment pour caractériser la gêne due au bruit des passages de différents véhicules routiers est testé lorsque différents trafics routiers urbains sont considérés. Sur la base de ces résultats, des modèles permettant de caractériser la gêne due au bruit de trafic routier urbain combiné au bruit de tramway ont été proposés. / Noise pollution is a major concern for residents of urban areas. To date, the European directive 2002/49/CE requires member states to represent community noise through noise maps. These are produced using the Lden (day-evening-night level) index which is also employed for dose-effect relationships in noise annoyance prediction. However, for the assessment of noise annoyance in urban areas, its relevance is often questioned. Numerous studies have shown that noise annoyance due to community noise is not solely based on the sound pressure level and other acoustical signal characteristics such as temporal and spectral features influence noise annoyance ratings. This thesis aims to improve the assessment of noise annoyance due to various road vehicle noises in cities. It is based on experiments carried out in laboratory conditions and comprises two main parts. The first addresses the enhancement of the physical and perceptual characterization of annoyance due to various urban road vehicle pass-by noises, such as buses, poweredtwo- wheelers, heavy vehicles and light vehicles. A specific focus is put on the characterization of annoyance due to powered-two-wheelers which are among the most annoying road vehicles and studied little in the existing literature. An indicator accounting for annoyance-relevant auditory attributes of urban road vehicle pass-by noises is determined: it comprises loudness, a spectral index and two modulation indices proposed in this work. In urban agglomerations, people are often exposed to road traffic in presence of a variety of other environmental noise sources. The focal point of the second part is on the prediction of total annoyance due to urban road traffic noise combined with tramway noise. In the aim of adequately characterizing total annoyance, first the perceptual phenomena involved in annoyance due to the combination of the sources are studied. Furthermore, the analysis allows for the testing of the proposed noise annoyance indicator for the characterization of urban road traffic noise. To characterize annoyance due to tramway noise, an indicator determined in a recent study is employed. Based on these indicators and the findings regarding perceptual phenomena, models for the prediction of total annoyance due to combined urban road traffic and tramway noise are proposed.