Luis Pedro Melo de Almeida

Luis Pedro Melo de Almeida

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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21 September 2019 in Remote Sensing
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Journal Article
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ESEdward Salameh
Edward Salameh
Frédéric FrappartFrédéric Frappart
Frédéric Frappart
RARafael Almar
Rafael Almar
PBPaulo Renato Enes Baganha Baptista
Paulo Renato Enes Baganha Baptista
GHGeorg Heygster
Georg Heygster
BLBenoit Laignel
Benoit Laignel
With high anthropogenic pressure and the effects of climate change (e.g., sea level rise) on coastal regions, there is a greater need for accurate and up-to-date information about the topography of these systems. Reliable topography and bathymetry information are fundamental parameters for modelling the morpho-hydrodynamics of coastal areas, for flood forecasting, and for coastal management. Traditional methods such as ground, ship-borne, and airborne surveys suffer from limited spatial coverage and temporal sampling due to logistical constraints and high costs which limit their ability to provide the needed information. The recent advancements of spaceborne remote sensing techniques, along with their ability to acquire data over large spatial areas and to provide high frequency temporal monitoring, has made them very attractive for topography and bathymetry mapping. In this review, we present an overview of the current state of spaceborne-based remote sensing techniques used to estimate the topography and bathymetry of beaches, intertidal, and nearshore areas. We also provide some insights about the potential of these techniques when using data provided by new and future satellite missions.

19 November 2011 in Earth Surface Processes and Landforms
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MVMichalis Vousdoukas
Michalis Vousdoukas
LALuis Pedro Melo de Almeida
Luis Pedro Melo de Almeida
ÓFÓscar Ferreira
Óscar Ferreira
This study analyses beach morphological change during six consecutive storms acting on the meso‐tidal Faro Beach (south Portugal) between 15 December 2009 and 7 January 2010. Morphological change of the sub‐aerial beach profile was monitored through frequent topographic surveys across 11 transects. Measurements of the surf/swash zone dimensions, nearshore bar dynamics, and wave run‐up were extracted from time averaged and timestack coastal images, and wave and tidal data were obtained from offshore stations. All the information combined suggests that during consecutive storm events, the antecedent morphological state can initially be the dominant controlling factor of beach response; while the hydrodynamic forcing, and especially the tide and surge levels, become more important during the later stages of a storm period. The dataset also reveals the dynamic nature of steep‐sloping beaches, since sub‐aerial beach volume reductions up to 30 m3/m were followed by intertidal area recovery (–2 < z < 3 m) with rates reaching ~10 m3/m. However, the observed cumulative dune erosion and profile pivoting imply that storms, even of regular intensity, can have a dramatic impact when they occur in groups. Nearshore bars seemed to respond to temporal scales more related to storm sequences than to individual events. The formation of a prominent crescentic offshore bar at ~200 m from the shoreline appeared to reverse the previous offshore migration trend of the inner bar, which was gradually shifted close to the seaward swash zone boundary. The partially understood nearshore bar processes appeared to be critical for storm wave attenuation in the surf zone; and were considered mainly responsible for the poor interpretation of the observed beach behaviour on the grounds of standard, non‐dimensional, morphological parameters. Copyright © 2011 John Wiley & Sons, Ltd.

1 September 2014 in Coastal Engineering
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Journal Article
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RMR.T. McCall
R.T. McCall
GMGerd Masselink
Gerd Masselink
TPT.G. Poate
T.G. Poate
JRJ.A. Roelvink
J.A. Roelvink
LALuis Pedro Melo de Almeida
Luis Pedro Melo de Almeida
PRP.E. Russell
P.E. Russell
The research in this study was funded by the Engineering and Physical Sciences Research Council (EPSRC; EP/H040056/1). The full text is under embargo until 01.09.1

1 June 2021 in Environmental Modelling & Software
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LALuis Pedro Melo de Almeida
Luis Pedro Melo de Almeida
IOIsrael Efraim de Oliveira
Israel Efraim de Oliveira
RLRodrigo Lyra
Rodrigo Lyra
RDRudimar Luís Scaranto Dazzi
Rudimar Luís Scaranto Dazzi
VMVinícius Gabriel Martins
Vinícius Gabriel Martins
AKAntonio Henrique da Fontoura Klein
Antonio Henrique da Fontoura Klein

17 August 2011 in Ocean Dynamics
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MVMichalis Vousdoukas
Michalis Vousdoukas
DWDagmara Wziatek
Dagmara Wziatek
LALuis Pedro Melo de Almeida
Luis Pedro Melo de Almeida
Coastal imagery obtained from a coastal video monitoring station installed at Faro Beach, S. Portugal, was combined with topographic data from 40 surveys to generate a total of 456 timestack images. The timestack images were processed in an open-access, freely available graphical user interface (GUI) software, developed to extract and process time series of the cross-shore position of the swash extrema. The generated dataset of 2% wave run-up exceedence values R 2 was used to form empirical formulas, using as input typical hydrodynamic and coastal morphological parameters, generating a best-fit case RMS error of 0.39 m. The R 2 prediction capacity was improved when the shore-normal wind speed component and/or the tidal elevation η tide were included in the parameterizations, further reducing the RMS errors to 0.364 m. Introducing the tidal level appeared to allow a more accurate representation of the increased wave energy dissipation during low tides, while the negative trend between R 2 and the shore-normal wind speed component is probably related to the wind effect on wave breaking. The ratio of the infragravity-to-incident frequency energy contributions to the total swash spectra was in general lower than the ones reported in the literature E infra/E inci > 0.8, since low-frequency contributions at the steep, reflective Faro Beach become more significant mainly during storm conditions. An additional parameterization for the total run-up elevation was derived considering only 222 measurements for which η total,2 exceeded 2 m above MSL and the best-fit case resulted in RMS error of 0.41 m. The equation was applied to predict overwash along Faro Beach for four extreme storm scenarios and the predicted overwash beach sections, corresponded to a percentage of the total length ranging from 36% to 75%.