Departamento de Enxeñaría Agroforestal
Departamento
Universidade Do Porto
Oporto, PortugalPublicacións en colaboración con investigadores/as de Universidade Do Porto (17)
2024
2022
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Application of Marine Spatial Planning tools for tidal stream farm micro-siting
Ocean and Coastal Management, Vol. 220
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Assessing the link between farming systems and biodiversity in agricultural landscapes: Insights from Galicia (Spain)
Journal of Environmental Management, Vol. 317
2021
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Hydrokinetic energy production in shallow estuaries: Miño estuary, nw Spain
Proceedings of the European Wave and Tidal Energy Conference
2020
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Detecting temporal changes in the extent of High Nature Value farmlands: The case-study of the Entre-Douro-e-Minho Region, Portugal
Landscape and Urban Planning, Vol. 195
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Sensitivity of OWC performance to air compressibility
Renewable Energy, Vol. 145, pp. 1334-1347
2019
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The CECO wave energy converter: Recent developments
Renewable Energy, Vol. 139, pp. 368-384
2018
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RANS-VOF modelling of the hydraulic performance of the LOWREB caisson
Coastal Engineering, Vol. 140, pp. 161-174
2016
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Comparison of harvest-related removal of aboveground biomass, carbon and nutrients in pedunculate oak stands and in fast-growing tree stands in NW Spain
Forest Ecology and Management, Vol. 365, pp. 119-127
2015
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Wave resource characterisation for energy production computations of WECs
Renewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014
2014
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A high resolution geospatial database for wave energy exploitation
Energy, Vol. 68, pp. 572-583
2013
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A mixed pixel- and region-based approach for using airborne laser scanning data for individual tree crown delineation in Pinus radiata D. Don plantations
International Journal of Remote Sensing, Vol. 34, Núm. 21, pp. 7671-7690
2012
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Optimization of the wavecat wave energy converter
Proceedings of the Coastal Engineering Conference
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The new wave energy converter WaveCat: Concept and laboratory tests
Marine Structures, Vol. 29, Núm. 1, pp. 58-70
2011
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Artificial intelligence applied to plane wave reflection at submerged breakwaters
Journal of Hydraulic Research, Vol. 49, Núm. 4, pp. 465-472
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Assessing the attributes of high-density Eucalyptus globulus stands using airborne laser scanner data
International Journal of Remote Sensing, Vol. 32, Núm. 24, pp. 9821-9841
2010
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Artificial Intelligence and headland-bay beaches
Coastal Engineering, Vol. 57, Núm. 2, pp. 176-183