Diving into the depth of primary motor cortex: a high-resolution investigation of the motor system using 7Tesla fMRI

Dissertação para a obtenção do Grau de Mestre em Engenharia Biomédica

Analysis of temporal and spatial variations of forest. A case of study in notheastern Armenia

The forest has a crucial ecological role and the continuous forest loss can cause colossal effects on the environment. As Armenia is one of the low forest covered countries in the world, this problem is more critical. Continuous forest disturbances mainly caused by illegal logging started from the early 1990s had a huge damage on the forest ecosystem by decreasing the forest productivity and making more areas vulnerable to erosion. Another aspect of the Armenian forest is the lack of continuous monitoring and absence of accurate estimation of the level of cuts in some years. In order to have insight about the forest and the disturbances in the long period of time we used Landsat TM/ETM + images. Google Earth Engine JavaScript API was used, which is an online tool enabling the access and analysis of a great amount of satellite imagery. To overcome the data availability problem caused by the gap in the Landsat series in 1988- 1998, extensive cloud cover in the study area and the missing scan lines, we used pixel based compositing for the temporal window of leaf on vegetation (June-late September). Subsequently, pixel based linear regression analyses were performed. Vegetation indices derived from the 10 biannual composites for the years 1984-2014 were used for trend analysis. In order to derive the disturbances only in forests, forest cover layer was aggregated and the original composites were masked. It has been found, that around 23% of forests were disturbed during the study period.

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.

Criminosos popularizados na narrativa de divulgação (De 1838 aos Alvores da República)

O presente estudo incide sobre obras impressas que tomaram como motivo central as «façanhas» de criminosos com referência histórica celebrizados em Portugal na segunda metade do século XIX e inícios de XX e mostra que, enquanto narrativas elaboradas para o grande público, os textos foram não só um reflexo da popularidade prévia dos famigerados transgressores, como também um fator incontornável da sua «lendarização» ao longo de décadas. São as seguintes as figuras dos infratores que protagonizaram as ficções em apreço: José Joaquim de Sousa Reis, ou «o Remexido» (1797-1838), Diogo Alves, ou «o Pancada» (1810-1841), Francisco de Matos Lobo (1814-1842), José Teixeira da Silva, ou «o José do Telhado» (1816-1875), João Victor da Silva Brandão, ou «o João Brandão de Midões» (1825-1880), e Vicente Urbino de Freitas (1859-1913). A tese agora apresentada aborda um corpus textual de características singulares, nunca antes coligido nem estudado. Comprova que os textos sobre as figuras criminosas tiveram uma função iminentemente noticiosa, pedagógico-edificante e política, apropriando-se de relatos orais, adotando procedimentos de atestação da veracidade (transcrição de documentos na primeira pessoa, referenciação cronológica, espacial, geográfica dos eventos, alusão às fontes) e incorporando diversas fontes do conhecimento dos crimes, quer de origem popular (geralmente designadas de «musa popular», «tradição»), quer de caráter erudito e teórico-científico («estudo», «estudo social»). Assim, foram analisadas as condições históricas excecionais nas quais as ficções emergiram: as características específicas do seu universo editorial, a apropriação a um público amplo (o formato de coleção, uso de sinopses e de outros elementos gráficos), as regularidades discursivas das obras (ocorrência de determinados dispositivos de organização textual), os procedimentos narrativos (recurso abundante a paratextos com intuito explicativo e aproximação a modalidades ficcionais conhecidas do público da época) e, ainda, as configurações imagéticas inspiradas nos discursos oficiais (influência de ciências e doutrinas epocais emergentes, como a criminologia, a antropologia criminal, a frenologia, a psiquiatria, a sociologia). Em suma, estas edições produzidas em diversos contextos e por um elenco autoral heterogéneo não só viveram da relação com as edições predecessoras, ao longo de gerações, como recriaram e ampliaram as «façanhas» dos transgressores em função de diversos propósitos e fontes: ampla divulgação dos casos criminais, condenação pública dos infratores, análise médico-científica dos sujeitos culpados, especulação política, pressão sobre o foro judiciário, edificação moral do público leitor. Trata-se, sem dúvida, de produções únicas, que erigiram a comemoração dos facínoras e sucessivamente reinscreveram as suas histórias reais na problemática do homem criminal e na consciência ética do seu tempo.

Mapping the Pasture Steppe in Bayankhongor, Mongolia: comparison of classification methods, using Landsat-8 and geophysical data

Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.