1,354,118 research outputs found
Estimating spatial and temporal variations of fuel properties using MODIS data set: the experience of CyberPark project
No full textCyberPark 2000: protected aeras management pilot project. Satellite time series vegetation monitoring
No full textEnvironmental mapping of Pollino National Park (Southern Italy) by means of airborne remotely sensed data.
No full textManfred Ehlers, Editor, Proceedings of SPIE
From remote sensing to a serious game: Digital reconstruction of an abandoned medieval village in Southern Italy
No full textThe digital reconstruction of the history of a buried medieval village is the main focus of this paper. The study, based on remote sensing and historical sources, is the starting point of the development of a serious game aimed at educational purposes and exploitation of remote sensing data in the field of edutainment. The selected historical scenario is Yrsum, a village in Basilicata ( South of Italy), founded in the 11th century and abandoned in the 14th century. A LiDAR survey along with satellite multispectral data (suitably elaborated for feature extraction) as well as the historical sources and archaeological records provided useful information on the forma urbis' of the medieval settlement from its foundation to its abandonment. The extraction of the archaeological features and the analysis of urban pattern put in evidence similarities with some medieval settlements based on "motte and bailey" typology that spread in Southern Italy, France and England from the 11th to the 13th century. After the virtual reconstruction, an interactive application articulated both on bi-dimensional and three-dimensional elements have been developed. The major novelty compared to most common video games has been the possibility to derive the game from rigorously scientific data. The player enjoys and learns within a logic of an edutainment game (a combination of education and entertainment), which has become by now a well-established concept but still rarely applied in the field of cultural heritage. (C) 2016 Elsevier Masson SAS. All rights reserved
Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis
No full textTraditional methods of recording fire burned areas and fire severity involve expensive and time-consuming field surveys. Available remote sensing technologies may allow us to develop standardized burn-severity maps for evaluating fire effects and addressing post fire management activities. This paper focuses on multiscale characterization of fire severity using multisensor satellite data. To this aim, both MODIS (Moderate Resolution Imaging Spectroradiometer) and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data have been processed using geo-statistic analyses to capture pattern features of burned areas.
Even if in last decades different authors tried to integrate geo-statistics and remote sensing image processing, methods used since now are only variograms, semivariograms and kriging. In this paper, we propose an approach based on the use of spatial indicators of global and local autocorrelation. Spatial autocorrelation statistics, such as Moran's I and Getis–Ord Local Gi index, were used to measure and analyze dependency degree among spectral features of burned areas. This approach enables the characterization of pattern features of a burned area and improves the estimation of fire severity
Multiscale characterization of spatial pattern over 1996-2006 wildland fire events in the Basilicata region
No full textEffect of dissolved oxygen concentration on pH-controlled fed-batch gluconate production by immobilised Aspergillus niger
No full textUsing Spatial Autocorrelation Techniques and Multi-temporal Satellite Data for Analyzing Urban Sprawl
No full textSatellite time series offer great potential for a quantitative assessment of urban expansion, urban sprawl and for monitoring of land use changes and soil consumption. This study deals with the spatial characterization of expansion of urban areas by using spatial autocorrelation techniques applied to multi-date Thematic Mapper (TM) satellite images. The investigation focused on several very small towns close to Bari. Urban areas were extracted from NASA Landsat images acquired in 1976, 1999 and 2009, respectively. To cope with the fact that small changes have to be captured and extracted from TM multi-temporal data sets, we adopted the use of spectral indices to emphasize occurring changes, and spatial autocorrelation techniques to reveal spatial patterns. Urban areas were analyzed using both global and local autocorrelation indexes. This approach enables the characterization of pattern features of urban area expansion and it improves land use change estimation. The obtained results showed a significant urban expansion coupled with an increase of irregularity degree of border modifications from 1976 to 2009
In vitro stability of Cucumber mosaic virus nanoparticles carrying a Hepatitis C virus-derived epitope under simulated gastrointestinal conditions and in vivo efficacy of an edible vaccine
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
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