Nuno Gracias

Dr. Nuno Gracias

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 February 2017 in Geochemistry, Geophysics, Geosystems
Verified
Journal Article
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JEJavier Escartin
Javier Escartin
CMC. Mével
C. Mével
SPS. Petersen
S. Petersen
DBD. Bonnemains
D. Bonnemains
MCM. Cannat
M. Cannat
RGRafael Garcia
Rafael Garcia
Microbathymetry data, in situ observations, and sampling along the 13°20′N and 13°20′N oceanic core complexes (OCCs) reveal mechanisms of detachment fault denudation at the seafloor, links between tectonic extension and mass wasting, and expose the nature of corrugations, ubiquitous at OCCs. In the initial stages of detachment faulting and high‐angle fault, scarps show extensive mass wasting that reduces their slope. Flexural rotation further lowers scarp slope, hinders mass wasting, resulting in morphologically complex chaotic terrain between the breakaway and the denuded corrugated surface. Extension and drag along the fault plane uplifts a wedge of hangingwall material (apron). The detachment surface emerges along a continuous moat that sheds rocks and covers it with unconsolidated rubble, while local slumping emplaces rubble ridges overlying corrugations. The detachment fault zone is a set of anostomosed slip planes, elongated in the along‐extension direction. Slip planes bind fault rock bodies defining the corrugations observed in microbathymetry and sonar. Fault planes with extension‐parallel stria are exposed along corrugation flanks, where the rubble cover is shed. Detachment fault rocks are primarily basalt fault breccia at 13°20′N OCC, and gabbro and peridotite at 13°30′N, demonstrating that brittle strain localization in shallow lithosphere form corrugations, regardless of lithologies in the detachment zone. Finally, faulting and volcanism dismember the 13°30′N OCC, with widespread present and past hydrothermal activity (Semenov fields), while the Irinovskoe hydrothermal field at the 13°20′N core complex suggests a magmatic source within the footwall. These results confirm the ubiquitous relationship between hydrothermal activity and oceanic detachment formation and evolution.

23 August 2006 in Environmental Monitoring and Assessment
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Journal Article
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DLDiego Lirman
Diego Lirman
NGNuno Gracias
Nuno Gracias
BGBrooke Erin Gintert
Brooke Erin Gintert
AGArthur Charles Rogde Gleason
Arthur Charles Rogde Gleason
RRRuth Pamela Reid
Ruth Pamela Reid
PKPhilip Kramer
Philip Kramer

1 July 2000 in Computer Vision and Image Understanding
Verified
Journal Article
Closed access
NGNuno Gracias
Nuno Gracias
JSJosé Santos-Victor
José Santos-Victor

15 April 2013 in Remote Sensing
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Journal Article
Open access
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ASM ShihavuddinASM Shihavuddin
ASM Shihavuddin
NGNuno Gracias
Nuno Gracias
RGRafael Garcia
Rafael Garcia
AGArthur Gleason
Arthur Gleason
BGBrooke Gintert
Brooke Gintert
This paper presents a novel image classification scheme for benthic coral reef images that can be applied to both single image and composite mosaic datasets. The proposed method can be configured to the characteristics (e.g., the size of the dataset, number of classes, resolution of the samples, color information availability, class types, etc.) of individual datasets. The proposed method uses completed local binary pattern (CLBP), grey level co-occurrence matrix (GLCM), Gabor filter response, and opponent angle and hue channel color histograms as feature descriptors. For classification, either k-nearest neighbor (KNN), neural network (NN), support vector machine (SVM) or probability density weighted mean distance (PDWMD) is used. The combination of features and classifiers that attains the best results is presented together with the guidelines for selection. The accuracy and efficiency of our proposed method are compared with other state-of-the-art techniques using three benthic and three texture datasets. The proposed method achieves the highest overall classification accuracy of any of the tested methods and has moderate execution time. Finally, the proposed classification scheme is applied to a large-scale image mosaic of the Red Sea to create a completely classified thematic map of the reef benthos.

27 March 2018 in Coral Reefs
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Journal Article
Open access
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BGBrooke E. Gintert
Brooke E. Gintert
DMDerek Manzello
Derek Manzello
IEIan C. Enochs
Ian C. Enochs
GKGraham Kolodziej
Graham Kolodziej
RCRenée Carlton
Renée Carlton
NGNuno Gracias
Nuno Gracias
Annual coral bleaching events, which are predicted to occur as early as the next decade in the Florida Keys, are expected to cause catastrophic coral mortality. Despite this, there is little field data on how Caribbean coral communities respond to annual thermal stress events. At Cheeca Rocks, an inshore patch reef near Islamorada, FL, the condition of 4234 coral colonies was followed over 2 yr of subsequent bleaching in 2014 and 2015, the two hottest summers on record for the Florida Keys. In 2014, this site experienced 7.7 degree heating weeks (DHW) and as a result 38.0% of corals bleached and an additional 36.6% were pale or partially bleached. In situ temperatures in summer of 2015 were even warmer, with the site experiencing 9.5 DHW. Despite the increased thermal stress in 2015, only 12.1% of corals were bleached in 2015, which was 3.1 times less than 2014. Partial mortality dropped from 17.6% of surveyed corals to 4.3% between 2014 and 2015, and total colony mortality declined from 3.4 to 1.9% between years. Total colony mortality was low over both years of coral bleaching with 94.7% of colonies surviving from 2014 to 2016. The reduction in bleaching severity and coral mortality associated with a second stronger thermal anomaly provides evidence that the response of Caribbean coral communities to annual bleaching is not strictly temperature dose dependent and that acclimatization responses may be possible even with short recovery periods. Whether the results from Cheeca Rocks represent an aberration or a true resilience potential is the subject of ongoing research.

1 April 2009 in Image and Vision Computing
Verified
Journal Article
Closed access
NGNuno Gracias
Nuno Gracias
MMMohammad Mahoor
Mohammad Mahoor
SNShahriar Negahdaripour
Shahriar Negahdaripour
AGArthur Gleason
Arthur Gleason