Latest peer reviewed publications

Freitas, P., Vieira, G., Canário, J., Vincent, W. F., Pina, P. & Mora, C. (2024). A trained Mask R-CNN model over PlanetScope imagery for very-high resolution surface water mapping in boreal forest-tundra. Remote Sensing of Environment, 304 https://doi.org/10.1016/j.rse.2024.114047.

Matias, M., & Lopes, A. (2024). LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon. Remote Sensing Applications: Society and Environment, 101163. https://doi.org/10.1016/j.rsase.2024.101163

Silva, T., Lopes, A., Vasconcelos, J., Chokhachian, A., Wagenfeld, M. & Santucci, D (2024). Thermal stress and comfort assessment in urban areas using Copernicus Climate Change Service Era 5 reanalysis and collected microclimatic data. Int J Biometeorol (2024). https://doi.org/10.1007/s00484-024-02639-z
 

Martins, D., Alves da Silva, A., Duarte, J. & Vieira, G. (2023). Changes in Vessel Traffic Disrupt Tidal Flats and Saltmarshes in the Tagus Estuary, Portugal. Estuaries and Coasts, 46, 1141–1156 (2023); https://doi.org/10.1007/s12237-023-01198-7

Prates, G., Torrecillas, C., Berrocoso, M., Goyanes, G. & Vieira, G. (2023). Deception Island 1967–1970 Volcano Eruptions from Historical Aerial Frames and Satellite Imagery (Antarctic Peninsula). Remote Sens., 15(8), 2052; https://doi.org/10.3390/rs15082052

Reis, C., Nouri, A.S. & Lopes, A .(2023). Human thermo-physiological comfort assessment in Lisbon by local climate zones on very hot summer days. Front. Earth Sci., 11:1099045; https://doi.org/10.3389/feart.2023.1099045

Tanguy. R., Whalenb, D., Prates, G. & Vieira, G. (2023). Shoreline change rates and land to sea sediment and soil organic carbon transfer in eastern Parry Peninsula from 1965 to 2020 (Amundsen Gulf, Canada). Arctic Science, 00: 1–20; https://doi.org/10.1139/as-2022-0028

Franco, P., Gordo, C., Costa, E.M. & Lopes, A. (2023). Short-term exposure to particulate matter and effects on emergency hospital admissions for Alzheimer's and Parkinson's disease: an ecological study from an aged European metropolis. Air Quality, Atmosphere & Health. https://doi.org/10.1007/s11869-023-01359-4

Matias, M, Lopes, S. & Lopes, A. (2023). The Climate of My Neighborhood: Households’ Willingness to Adapt to Urban Climate Change. Land 202312(4), 856; https://doi.org/10.3390/land12040856

Oliveira, A., Lopes, A. & Correia, E. (2022). Annual summaries dataset of Heatwaves in europe, as defined by the Excess Heat Factor. Data in Brief, 44 (22). doi.org/10.1016/j.wace.2022.100455

Reis, C., Lopes, A. & Nouri, A.S. (2022). Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service. Urban Climate, 43.https://doi.org/10.1016/j.uclim.2022.101168

Oliveira, A., Lopes, A. & Niza, S. (2022). Excess Heat Factor climatology, trends and exposure across European Functionaal Urban Areas. Weather and Climate Extremes, 36. https://doi.org/10.1016/j.wace.2022.100455

Lopes, A., Fragoso, M. & Correia, E. (2021) A avaliação de riscos climáticos nos Planos Municipais de Emergência em Portugal: métodos e experiências. In, Nunes, A., et al (Coord.) Geografia, Riscos e Proteção Civil. Homenagem ao Professor Doutor Luciano Lourenço. Vol. 2. RISCOS – Associação Portuguesa de Riscos, Prevenção e Segurança, pp. 333-352. ISBN: 978-989-9053-06-9

Oliveira, A., Lopes, A., Niza, S. & Soares, A. (2021) An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples. Science of the Total Environment, 150130, in press, journal pre-proof. https://doi.org/10.1016/j.scitotenv.2021.150130

Fernandes, R., & Fragoso, M. (2021) Assessing Heatwaves and Their Association with North African Dust Intrusions in the Algarve (Portugal). Atmosphere, 12, 1090. https://doi.org/10.3390/atmos12091090

Domínguez-Castro, F., Alcoforado, M.J., Bravo-Paredes, N.,  Fernández-Fernández, M.I., Fragoso, M., Gellego, M., Herrera, R.G.,  Garnier,E, Garza-Merodio, G., El Kenawy, A.M., Latorre, B., Noguera, I., Peña-Angulo, D., Reig-Gracia, F., Silva, L.P., Vaquero, J.M. & Vicente Serrano, S.M. (2021) Dating historical droughts from religious ceremonies, the international pro pluvia rogation database. Sci Data 8, 186. https://doi.org/10.1038/s41597-021-00952-5

Anjos, M., Lopes, E., Correia, E. & Menonça F. (2021) Assessment of Climatic Guidelines and Urban Planning in North-Eastern Coast of Brazil. In, R. B. Singh et al. (eds.), Practices in Regional Science and Sustainable Regional Development. Spirnger Nature Singapore, pp.199-220. https://doi.org/10.1007/978-981-16-2221-2_9

Oliveira, A., Lopes, A., Correia, E., Niza, S., & Soares, A. (2021). An urban climate-based empirical model to predict present and future patterns of the Urban Thermal Signal. Science of The Total Environment, Volume 790, 10 October 2021, 147710,  https://doi.org/10.1016/j.scitotenv.2021.147710

Silva, T., Fragoso, M., Almendra, R., Vasconcelos, J., Lopes, A. & Faleh, A. (20219.North African dust intrusions and increased risk of respiratory diseases in Southern Portugal. International Journal of Biometeorologyhttps://doi.org/10.1007/s00484-021-02132-x

Alcoforado, M.J., Silva, L., Amorim, I., Fragoso, M. & Garcia, J.C. (2021). Historical floods of the Douro River in Porto, Portugal (1727-1799). Climatic Change,  https://doi.org/10.1007/s10584-021-03039-7

Oliveira, A., Lopes, A., Correia, E., Niza, S., & Soares, A. (2021). Heatwaves and Summer Urban Heat Islands: A Daily Cycle Approach to Unveil the Urban Thermal Signal Changes in Lisbon, Portugal. Atmosphere12(3), 292. doi:10.3390/atmos12030292

Brito, A.C.; Garrido-Amador, P.; Gameiro, C; Nogueira, M.; Moita, M.T. & Cabrita, M.T. (2020). Integrating In Situ and Ocean Color Data to Evaluate Ecological Quality under the Water Framework Directive. Water, 12(12), 3443. https://doi.org/10.3390/w12123443

Morais, L.; Lopes, A. & Nogueira, P. (2020). Human Health Outcomes at the Neighbourhood Scale Implications: Elderly’s Heat-related Cardiorespiratory Mortality and its Influencing Factors, Science of the Total Environment.
https://doi.org/10.1016/j.scitotenv.2020.144036

Oliveira, A.; Lopes, A. & Niza, S. (2020). Local cliamte zones classification mtehod from Copernicus lan monitoring service datasets: an ArcGis-based yoolbox. MethodsX, 7 https://doi.org/10.1016/j.mex.2020.101150