1,721,011 research outputs found
Coastal Landscape Quality Index: fragmentation and biodiversity.An application along the Apulian coast.
No full textThis work has been carried out by the IMCA Research (Integrated Monitoring of Coastal Areas), New technologies for survey, analysis and monitoring of environmental parameters financed by MIUR, within the activities to draw coastal landscape quality maps through the use of indexes taken from satellite remote sensing images.
The researchthanks to the experience of the European Convention of Landscape, analyses the topics of Landscape Quality through scaling up processes, that is an interpretation of the phenomena according to spacial-temporal variables.
The products of the research are maps, both when representing landscape conditions (for example, maps on the use of the land) and describing the changes that are taking place (changes map), to eventually recognise its criticality and values to formalise in a quality objectives map
Coastal landscape quality indicators: coastal depth. An application along the Apulian coast
No full textThis work intends to verify if some valuations elaborated by the Landscape Ecology starting from an informative layer of covering/use of the soil, may be elaborated directly on the satellite remote sensing images through semi-automatic procedures (Ex: n. classes clusterizations), with significant outputs
A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data
No full textAccurate flood mapping is important for both planning activity during emergencies and as a support for the successive assessment of damaged areas. A valuable information source for such a procedure can be remote sensing synthetic aperture radar (SAR) imagery. However, flood scenarios are typical examples of complex situations in which different factors have to be considered to provide accurate and robust interpretation of the situation on the ground. For this reason, a data fusion approach of remote sensing data with ancillary information can be particularly useful. In this work, a Bayesian Network (BN) is proposed to integrate remotely sensed data, such as multi-temporal SAR intensity images and InSAR coherence data, with geomorphic and other ground information. The methodology is tested on a case study regarding a flood occurred in the Basilicata region (Italy) on December 2013, monitored using a time series of COSMO-SkyMed data. It is shown that the synergetic use of different information layers can help to detect more precisely the areas affected by the flood, reducing false alarms and missed identifications which may affect algorithms based on data from a single source. The produced flood maps are compared to data obtained independently from the analysis of optical images; the comparison indicates that the proposed methodology is able to reliably follow the temporal evolution of the phenomenon, assigning high probability to areas most likely to be flooded, in spite of their heterogeneous temporal SAR/InSAR signatures, reaching accuracies of up to 89%
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
C/X-band SAR interferometry used to monitor slope instability in Daunia, Italy
No full textThanks to the all-weather, day-night capability to detect and quantify accurately small ground surface deformations, Synthetic Aperture Radar (SAR) Interferometry (InSAR) techniques are attractive for landslide hazard investigations. In particular, multi-temporal InSAR techniques allow to detect and monitor millimetric displacements occurring on selected point targets exhibiting coherent radar backscattering properties (mainly buildings and other man-made structures). In the present work we apply the SPINUA (Stable Point INterferometry over Un-urbanised Areas) multi-temporal processing technique [1] to the Daunia region located in Southern Apennines, Italy. This region includes several small hill-top towns affected by slope instability problems and is of particular interest for the Civil Protection – Regione Puglia Authority, which is one of the end users of the deformation maps derived by multi-temporal interferometric analysis of satellite data. This site was already investigated in the past though interferometric analysis [2] by using ERS-1/2 SAR data provided by ESA. In this work we present results obtained by processing SAR data acquired by the ENVISAT ESA satellite (, medium spatial resolution) as well as by the TerraSAR-X satellite (X-band high resolution) launched by DLR in 2007. Thanks to the finer spatial resolution with respect to data, X-band InSAR applications appear very promising for monitoring single man-made structures (buildings, bridges, railways and highways) as well as areas where data show low PS density. This is the case, in particular, of the Daunia region which is scarcely urbanised. Indeed, the results obtained with X-band data suggest that many more man-made and natural targets behave as persistent scatterers than in . Moreover, thanks again to the higher resolution, it should be possible to infer reliable estimates of the displacement rates with a number of SAR scenes significantly lower than in within the same time span or by using more images acquired in a narrower time span. Finally, with shorter wavelengths the sensitivity to LOS displacements is increased together with the capability of detecting very low displacements rates (as the pre- and post-failure movements related to landslides are expected to be). The displacements maps obtained by processing both C- and X-band SAR data will be presented for a selected number of towns affected by slope instability. Results will be commented with particular attention paid to the advantages provided by the new generation of X-band high resolution space-borne SAR sensors
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