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    Synergistic use of airborne hyperspectral and LiDAR data for mapping Mediterranean forest in Portugal

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    Forests are the major source of biodiversity and provide natural sources of wood, fodder, gums, resins, and medicines. Forests encounter damage by nature and human factors, which needs to be monitored for all tree species, whether invasion or intentional damage. This study focuses on the classification of an open tall stand coastal surrounding site for the mapping and classification of tree species and ground features using airborne imagery. So, improving the classification and mapping accuracy of forest in surrounding coastal regions is essential for the restoration and management decisions. The first objective of this thesis is to use segmented Principal Component (PC) images to classify the ground features including different tree species and to improve the classification results. More specific goals include (a) Use of hyperspectral images to map and classify the forest region using a segmented PC image, (b) Investigating the gain in mapping accuracy with segmented PC image as opposed to hyperspectral imagery alone. The second objective is to assess and investigate the fusion of airborne hyperspectral imagery and LiDAR derived Canopy Height Model for classification and assessing the results. These objectives aim at investigating the gain in mapping accuracy with fusion image as opposed to hyperspectral imagery alone. Thus, overall this study assesses the differences in classification outputs using a data fusion technique, segmented PC image and individual hyperspectral images, which differ in accuracy, in Mediterranean forest. MLC based supervised image classification method provided better accuracy (96.3%) with segmented PC images, (~92.9%) with the fusion of CHM and hyperspectral images than with hyperspectral image alone (89.6% with MLC and 67.5% with SAM). According to my results, CHM and HSI provide better classification and mapping results over extensive areas of forests. The overall accuracy of the classified maps ranged from 67.5 to 96.3% and k coefficient was found between 0.61 and 0.95. Segmented PC and PC fusion techniques provided a significant step to improve the distinction and classification results. Using the above methods, tree species and associated features could be classified and mapped, despite the problem of spectral mixing of different features. In future, more high spatial and spectral resolution images will provide a platform for the incorporation of enhanced characteristics for mapping and classification purposes

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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