1,720,985 research outputs found
Assessing the feasibility of mapping channel bathymetry of long river corridors from hyperspectral data across a range of flow conditions
Assessing river geomorphic alteration at regional scale: the case of piedmont region, Convegno Nazionale di Idraulica e Costruzioni Idrauliche Bologna. Atti del XXXV Convegno Nazionale di Idraulica e Costruzioni Idrauliche
Remote Sensing (RS) technologies over the last decade have made substantial progresses in terms of data accuracy, spatial coverage and temporal frequency of acquisitions. A valuable amount of information to investigate river systems have begun to emerge, which was not available in the past (Marcus and Fonstad 2010). This novel context opens new opportunities for river science and management whose uptake is just starting to occur amongst scientists and managers (Carbonneau and Piegay 2012). Orthophotos and high-resolution multi-spectral images have been utilised by fluvial geomorphologists and hydrologists for a long time to manually draw the recent (i.e. last 50-70 years) historical evolution of key channel geomorphic features (e.g. active channel width) and to map riparian corridors and ecological habitats over large scale using multi-spectral information (Surian and Rinaldi 2003; Clerici et al 2013). More recently LiDAR information has begun to provide accurate information on river topography opening exciting opportunity to map river morphology (Passalacqua et al 2012). However, large-scale analysis of river systems exploiting the availability of already acquired datasets of multi-spectral high-resolution images and LiDAR is surprising limited. Bizzi et al (2016) in a recent review points out the large availability of these datasets at European scale and discussed the fact that these datasets are rarely acquired for river characterizations purposes although they are valuable information to this aim. They also note that these days the bottleneck for river science and management is not data generation but data processing. RS data poses a number of data analysis challenges (Alber and Piégay 2011; Schmitt et al 2014), which cannot be handled solely by river geomorphologists and engineers, and call for multi-disciplinary working groups where river experts work side by side with remote sensing experts and data analysts. In this work, we show how a regional available dataset in the Piedmont region (north east of Italy) acquired in 2008 for landscape monitoring and urban planning purposes, including high-resolution multi-spectral images and LiDAR data, can be used to extract valuable information about geomorphic character of river systems. We provide one of the first applications at regional level where extent and topographic river geomorphic features have been classified through semi-automated procedures and tools creating a regional DataBase (DB) suitable for river geomorphic investigation. The developed tools can be easily applied in the future in other contexts with similar data availability. A regional classification of the main river typologies in the region has been developed using the DB. Moreover, statistical analyses have been used to exploit the information embedded in the spatial heterogeneity of the regional DB in order to enhance our understanding of how river systems shape their channels under various contexts of geology, hydrology and human pressures. We have been able to detect meaningful relationships between geomorphic drivers (e.g. channel gradient, basin area, geology, geographic area), human pressures and channel features providing robust basis to generate a firsts assessments of river system alterations induced by human activities at regional level, and generating valuable evidences to discuss the design of more effective river management plans and rehabilitation measures
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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