1,721,092 research outputs found
Fusion of LiDAR and Hyperspectral Data
No full text<p>The dataset is captured over <i>Samford Ecological Research
Facility</i> (SERF), which is located within the Samford valley in south east
Queensland, Australia. The central point of the dataset is located at
coordinates: 27.38572<sup>o</sup>S, 152.877098<sup>o</sup>E. The <i>Vegetation Management
Act 1999</i> protects the vegetation on this property as it provides a refuge
to native flora and fauna that are under increasing pressure caused by urbanization.</p><p>The hyperspectral image was acquired by the <i>SPECIM AsiaEAGLE II</i>
sensor on the second of February, 2013. This sensor captures 252 spectral
channels ranging from 400.7<i>nm</i> to 999.2<i>nm</i>. The last five channels,
i.e., channels 248 to 252, are corrupted and can be excluded. The spatial
resolution of the hyperspectral data was set to 1<i>m</i>.</p><p>The airborne light detection and ranging (LiDAR) data were captured
by the <i>ALTM Leica ALS50-II</i> sensor in 2009 composing of a total of 3716157
points in the study area: 2133050 for the first return points, 1213712 for the
second return points, 345.736 for the third return points, and 23659 for the
fourth return points.</p><p>The average flight height was 1700 meters and the average point
density is two points per square meter. The laser pulse wavelength is 1064<i>nm</i>
with a repetition rate of 126 <i>kHz</i>, an average sample spacing of 0.8<i>m</i>
and a footprint of 0.34<i>m</i>. The data were collected up to four returns per
pulse and the intensity records were supplied on all pulse returns.</p><p>The nominal vertical accuracy was ±0.15<i>m</i> at 1 sigma and the
measured vertical accuracy was ±0.05<i>m</i> at 1 sigma. These values have been
determined from check points contrived on an open clear ground. The measured
horizontal accuracy was ± 0.31<i>m</i> at 1 sigma.</p><p>The obtained ground LiDAR returns were interpolated and rasterized
into a 1<i>m</i>×1<i>m</i> digital elevation model (DEM) provided by the LiDAR
contractor, which was produced from the LiDAR ground points and interpolated
coastal boundaries.</p><p>The first returns of the airborne LiDAR sensor were utilized to
produce the normalized digital surface model (nDSM) at 1<i>m</i> spatial
resolution using <i>Las2dem</i>.</p><p>The 1<i>m</i> spatial resolution intensity image was also produced
using <i>Las2dem</i>. This software interpolated the points using triangulated
irregular networks (TIN). Then, the TINs were rasterized into the nDSM and the
intensity image with a pixel size of 1<i>m</i>. The intensity image with 1<i>m</i>
spatial resolution was also produced using <i>Las2dem</i>.</p><p>The LiDAR data were classified into ``ground" and
``non-ground" by the data contractor using algorithms tailored especially
for the project area. For the areas covered by dense vegetation, less laser
pulse reaches the ground. Consequently, fewer ground points were available for
DEM and nDSM surfaces interpolation in those areas. Therefore, the DEM and the
nDSM tend to be less accurate in these areas.</p><p>In order to use the datasets, please fulfill the following three
requirements:</p>
<p>1) Giving an acknowledgement as follows:</p>
<p>The authors gratefully acknowledge <i>TERN AusCover</i> and Remote
Sensing Centre, Department of Science, Information Technology, Innovation and
the Arts, QLD for providing the hyperspectral and LiDAR data, respectively. Airborne lidar are from <a href="http://www.auscover.org.au/xwiki/bin/view/Product+pages/Airborne+Lidar" target="_blank">http://www.auscover.org.au/xwiki/bin/view/Product+pages/Airborne+Lidar</a></p><p>Airborne hyperspectral are from <a href="http://www.auscover.org.au/xwiki/bin/view/Product+pages/Airborne+Hyperspectral" target="_blank">http://www.auscover.org.au/xwiki/bin/view/Product+pages/Airborne+Hyperspectral</a></p>
<p>2) Using the following license for LiDAR and hyperspectral data:</p>
<p><a href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</a></p><p>3) This dataset was made public by Dr. Pedram Ghamisi from German Aerospace Center (DLR) and Prof. Stuart Phinn
from the University of Queensland. Please cite: </p><p>In WORD:</p><p>Pedram Ghamisi and Stuart Phinn, Fusion of LiDAR and Hyperspectral Data, Figshare, December 2015, <a href="https://dx.doi.org/10.6084/m9.figshare.2007723.v3">https://dx.doi.org/10.6084/m9.figshare.2007723.v3</a></p><p>In LaTex:</p><p>@article{Ghamisi2015,</p><p>author = "Pedram Ghamisi and Stuart Phinn",</p><p>title = "{Fusion of LiDAR and Hyperspectral Data}",</p><p>journal={Figshare},</p><p>year = {2015},</p><p>month = {12},</p><p>url = "10.6084/m9.figshare.2007723.v3",</p><p>
</p><p>}</p
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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