Monitoring the vegetation start of season (SOS) across the island of Ireland using the MERIS global vegetation index

The aim of this study was to develop a methodology, based on satellite remote sensing, to estimate the vegetation Start of Season (SOS) across the whole island of Ireland on an annual basis. This growing body of research is known as Land Surface Phenology (LSP) monitoring. The SOS was estimated for each year from a 7-year time series of 10-day composited, 1.2 km reduced resolution MERIS Global Vegetation Index (MGVI) data from 2003 to 2009, using the time series analysis software, TIMESAT. The selection of a 10-day composite period was guided by in-situ observations of leaf unfolding and cloud cover at representative point locations on the island. The MGVI time series was smoothed and the SOS metric extracted at a point corresponding to 20% of the seasonal MGVI amplitude. The SOS metric was extracted on a per pixel basis and gridded for national scale coverage. There were consistent spatial patterns in the SOS grids which were replicated on an annual basis and were qualitatively linked to variation in landcover. Analysis revealed that three statistically separable groups of CORINE Land Cover (CLC) classes could be derived from differences in the SOS, namely agricultural and forest land cover types, peat bogs, and natural and semi-natural vegetation types. These groups demonstrated that managed vegetation, e.g. pastures has a significantly earlier SOS than in unmanaged vegetation e.g. natural grasslands. There was also interannual spatio-temporal variability in the SOS. Such variability was highlighted in a series of anomaly grids showing variation from the 7-year mean SOS. An initial climate analysis indicated that an anomalously cold winter and spring in 2005/2006, linked to a negative North Atlantic Oscillation index value, delayed the 2006 SOS countrywide, while in other years the SOS anomalies showed more complex variation. A correlation study using air temperature as a climate variable revealed the spatial complexity of the air temperature-SOS relationship across the Republic of Ireland as the timing of maximum correlation varied from November to April depending on location. The SOS was found to occur earlier due to warmer winters in the Southeast while it was later with warmer winters in the Northwest. The inverse pattern emerged in the spatial patterns of the spring correlates. This contrasting pattern would appear to be linked to vegetation management as arable cropping is typically practiced in the southeast while there is mixed agriculture and mostly pastures to the west. Therefore, land use as well as air temperature appears to be an important determinant of national scale patterns in the SOS. The TIMESAT tool formed a crucial component of the estimation of SOS across the country in all seven years as it minimised the negative impact of noise and data dropouts in the MGVI time series by applying a smoothing algorithm. The extracted SOS metric was sensitive to temporal and spatial variation in land surface vegetation seasonality while the spatial patterns in the gridded SOS estimates aligned with those in landcover type. The methodology can be extended for a longer time series of FAPAR as MERIS will be replaced by the ESA Sentinel mission in 2013, while the availability of full resolution (300m) MERIS FAPAR and equivalent sensor products holds the possibility of monitoring finer scale seasonality variation. This study has shown the utility of the SOS metric as an indicator of spatiotemporal variability in vegetation phenology, as well as a correlate of other environmental variables such as air temperature. However, the satellite-based method is not seen as a replacement of ground-based observations, but rather as a complementary approach to studying vegetation phenology at the national scale. In future, the method can be extended to extract other metrics of the seasonal cycle in order to gain a more comprehensive view of seasonal vegetation development.

Digital signal processing and artificial intelligence for the automated classification of food allergy

As a by-product of the ‘information revolution’ which is currently unfolding, lifetimes of man (and indeed computer) hours are being allocated for the automated and intelligent interpretation of data. This is particularly true in medical and clinical settings, where research into machine-assisted diagnosis of physiological conditions gains momentum daily. Of the conditions which have been addressed, however, automated classification of allergy has not been investigated, even though the numbers of allergic persons are rising, and undiagnosed allergies are most likely to elicit fatal consequences. On the basis of the observations of allergists who conduct oral food challenges (OFCs), activity-based analyses of allergy tests were performed. Algorithms were investigated and validated by a pilot study which verified that accelerometer-based inquiry of human movements is particularly well-suited for objective appraisal of activity. However, when these analyses were applied to OFCs, accelerometer-based investigations were found to provide very poor separation between allergic and non-allergic persons, and it was concluded that the avenues explored in this thesis are inadequate for the classification of allergy. Heart rate variability (HRV) analysis is known to provide very significant diagnostic information for many conditions. Owing to this, electrocardiograms (ECGs) were recorded during OFCs for the purpose of assessing the effect that allergy induces on HRV features. It was found that with appropriate analysis, excellent separation between allergic and nonallergic subjects can be obtained. These results were, however, obtained with manual QRS annotations, and these are not a viable methodology for real-time diagnostic applications. Even so, this was the first work which has categorically correlated changes in HRV features to the onset of allergic events, and manual annotations yield undeniable affirmation of this. Fostered by the successful results which were obtained with manual classifications, automatic QRS detection algorithms were investigated to facilitate the fully automated classification of allergy. The results which were obtained by this process are very promising. Most importantly, the work that is presented in this thesis did not obtain any false positive classifications. This is a most desirable result for OFC classification, as it allows complete confidence to be attributed to classifications of allergy. Furthermore, these results could be particularly advantageous in clinical settings, as machine-based classification can detect the onset of allergy which can allow for early termination of OFCs. Consequently, machine-based monitoring of OFCs has in this work been shown to possess the capacity to significantly and safely advance the current state of clinical art of allergy diagnosis

Impact of the smoke-free workplace legislation on smoking behaviour, risk perception & stigmatisation

The Republic of Ireland became the first European country to implement nationwide smoke-free workplace legislation. Aims: To determine prevalence of smoking among bar workers and estimate the impact of the smoke-free workplace legislation on their smoking behaviour to that of a comparable general population sample. To approximate the influence of tobacco control measures on risk perception of second-hand smoke (SHS) among the general population. To explore the de-normalisation of smoking behaviour and the potential increased stigmatisation of smokers and their smoking. Methods: Prevalence estimates and behavioural changes were examined among a random sample of bar workers before and 1 year after the smoke-free legislation; comparisons made with a general population sub-sample. Changes in risk knowledge related to SHS exposure were based on general population data. Qualitative interviews were conducted among a purposive sample of smokers and non-smokers four years after the implementation of the legislation. Results: Smoking prevalence was extremely high among bar workers. Smoking prevalence dropped in bar workers and significantly among the general population 1 year post ban while cigarette consumption dropped significantly among bar workers. Disparity in knowledge between smokers and non-smoker of risk associated with SHS exposure reduced. Lack of understanding of the risk of ear infections in children posed by SHS exposure was notable. Evidence for advanced de-normalisation of smoking behaviour and intensification of stigma because of the introduction of the legislation was dependent on many factors, quality of smoking facilities played a key role. Conclusions: Ireland’s smoke-free legislation was associated with a drop in prevalence and cigarette consumption. Disparity in knowledge between smokers and non-smokers of the risk posed by SHS exposure reduced however the risk of ear infections in children needs to be effectively disseminated. The proliferation of ‘good’ smoking areas may diminish the potential to reduce smoking behaviour and de-normalise smoking.

Inquiring into perspective transformation in university education

My Portfolio of Exploration tackles the difficult question as to whether adult mental development can be accelerated and if so how. Rooted in constructive-developmental ideas, adult mental development is explained as an evolutionary unfolding of human capability. Going beyond this I look at the possibility of advancing development as transformational growth in adulthood in the belief that a broader perspective leads to increased effectiveness in professional life. Initially I explored my own meaning making, to make sense of my experiences, knowledge, relationships and my own motivations. This exploration has provided me with a ‘developmental bridge’ between my current way of knowing and a new more enlightened way. I have come to view my way of making meaning in the world as an evolving and progressive sequence of emotional and cognitive development. Through the formation of new stretching experiences, increased self - awareness and reflection my previous perspective has been overtaken by a more complex form of being aware of myself, others and the world. I refer to this process of growth as transformation. As part of my own transformational work I have conducted an inquiry into transformational growth and learning in the early academic life of university undergraduates. The result shows how accelerated adult mental development can be achieved in an academic environment ably preparing students for the workplace. This new model of education is part of a truly unique and exciting model signalling ground-breaking change for the undergraduate experience. The overhaul of a traditional BA degree in Economics into a world-class transformational programme is discussed through-out my Portfolio. Central to my broadening awareness is the challenge and nurturing required to awaken the student’s ‘internal authority’ . This involves stimulating students to take ownership for their own thinking, steering them away from the passivity and complacency of thinking through the minds of others. In doing so, the ultimate aim of renewing the BA is to narrow the developmental ‘mismatch’ which exists for m any college students between them and the world of work, by encouraging and inviting them to take on the challenge of thinking independently. Mindfulness, awareness, and personal authority are treated with reverence throughout the exploration as I consider them core parts of the students engaging with development. Engagement is construed as an active and open-minded process of awareness involving planning and reviewing one’s own goals and performance, engaging in constructive feedback, reflection and new action. I conclude with a view that the journey of adult mental development is relentless and that undergraduate education represents a crucial beginning. The value and relevance of transformational education rooted in developmental principles provides a significant opportunity in advancing development and perspectives at the start of adult life.

Place, teenagers and urban identities: Growing up in the revanchist city

The recreational lives of teenagers in Ireland has been the subject of much debate in recent years. The subject has received much attention from academics, particularly in the UK and the US. In Ireland there is a dearth of research on, and a poor understanding of teenagers recreational lives. Additionally much of the research from the UK and the US to date has been focused on teenagers’ use of the street for recreation, arguing that teenagers are increasingly pushed out of public space. The research frequently emphasises teenagers’ resistance against adult hegemony. This thesis explores the recreational geographies of teenagers living in two socially and economically distinct neighbourhoods in Cork. It seeks to fill in gaps in knowledge of teenagers recreational lives in Ireland and contribute to geographical wisdom on teenagers’ geographies. Using a mixed method approach and a variety of thinking tools this research shows that teenagers living in Cork are growing up in a revanchist society. The thesis demonstrates how teenagers’ recreational practices are currently being configured in Irish society, unfolding strategies of dominance and affection which construct and regulate the recreational lives of teenagers. The effects of revanchism on teenagers’ experiences of outdoor space for recreation are also pursued. Furthermore the socio-spatial contingencies of teenagers’ recreational lives and revanchism are probed throughout the thesis, but in greater depth in the final chapters. The work also addresses an under-researched aspect of young people’s recreational - relationships with pets. Lastly, the subject of teenagers’ right to urban space is critically analysed.