Paula Redweik
University of Lisbon
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Paula Redweik.
Computers & Geosciences | 2014
Cristina Catita; Paula Redweik; J. Pereira; M.C. Brito
The assessment of local photovoltaic (PV) potential plays a critical role in the development of planning policies and financing schemes for the successful deployment of PV systems in cities. Considering the significant area available on facades in modern urban landscapes, the solar potential analysis at the local or municipal scale should be extended to take into account the irradiation on vertical walls. Starting from three different sets of information of a site, solar radiation model for roofs, ground and facades, 3D buildings model and a DSM derived from airborne LiDAR data, a methodology was developed in a GIS environment in order to fuse the datasets and allow for spatio-temporal analysis for solar energy quests. The resultant 3D database enables spatial visualization of the answers to the most interesting questions regarding new solar energy systems on buildings. The GIS database can be used as a tool to support municipal/local decision planners since statistics for the solar potential of each building can be easily inspected. In order to optimize solar collection, this system is particularly suited to identify which parts (roofs and/or facades) of a building are more favorable for the installation of solar arrays as well as the area available for the installation. Methodology for spatio-temporal analysis for solar energy on buildings (roofs and facades).Solar GIS database for support of municipal/local decision planners.Integration of LiDAR data with 3D buildings model.3D spatial analysis.High resolution solar potential analysis.
Photogrammetric Engineering and Remote Sensing | 2010
Paula Redweik; Dora Roque; António Marques; Rita Matildes; Fernando Marques
Although traditional and web map producers strive to deliver up-to-date products and old aerial photographs do not fit in their concept, other users are rather interested in old aerial images and in temporal series. In Portugal, aerial surveys for mapping purposes started by the late thirties of the twentieth century as documented by the oldest existing aerial photos collection in the archives of the IGEOE in Lisbon. Being the oldest visual witnesses of the country, the relevance of the information they contain is unquestionable. The objective of this project is the recovery of an important national aerial photographic heritage hibernating in analogue format in the archives. In a test block, strategies to recover radiometry and spatial orientation were developed and successfully tested in order to make the photos accessible and workable by the modern scientific community and by the general public. A photo-geographic database has also been organized and made available.
International Journal of Disaster Risk Science | 2017
Paula Redweik; Paula Teves-Costa; Inês Vilas-Boas; Teresa Santos
Abstract3D city models associate a database of a city to a rigorous geospatial representation that is close to the visible reality by combining appearance, geometry, and semantics. As such, these models may include tools that convey attribute analysis, not only at the statistical level but also in terms of visual appearance of the objects, thus allowing the generation of new knowledge about a phenomenon or its effects. Lisbon is a city with a moderate level of seismic risk, and has been hit in the past by strong earthquakes. Several seismic vulnerability studies of buildings have been carried out in Lisbon. These studies generate different scenarios that consider the magnitude and source location of potential earthquakes. The results of these studies were presented as maps obtained from crossing information contained in 2D layers and presented in a GIS environment. In the present study a seismic vulnerability assessment of Lisbon’s buildings held in 2D is extended to the third dimension, which refines the resolution and the set of parameters and explores the gains of spatial analysis in 3D representations. The numerous parameters that contribute to assess seismic vulnerability of buildings may be analyzed individually or simultaneously as well as in multiple seismic scenarios. Although covering all residential buildings in Lisbon, the application of the 3D city model is demonstrated with more detail in three pilot areas.
2016 23° Encontro Português de Computação Gráfica e Interação (EPCGI) | 2016
Maria Beatriz Carmo; Ana Paula Cláudio; António Ferreira; Ana Paula Afonso; Paula Redweik; Cristina Catita; M.C. Brito; Silvana Silva; Carolina Meireles
The use of mobile devices, such as smartphones and tablets, is widespread nowadays because they are portable, affordable, and offer a diversity of features. This type of equipment supports Augmented Reality (AR) applications, since they have all the necessary characteristics: good processing power, are equipped with cameras, sensors, such as accelerometers, magnetometers and gyroscopes, provide geo-location system and Web-connectivity. Having AR applications in this type of devices makes them available to a large audience. In particular, mobile AR applications can help disseminating the use of renewable energy, providing mechanisms to calculate the potential gains of its use. These applications can also be a valuable tool for technicians and researchers in this field. In the case of solar energy, the installation of photovoltaic modules is no longer limited to roofs, because there is specific equipment to install in walls or windows, surfaces that are suitable for presenting information in AR. Extending previous work on data visualization of solar radiation in RA, this article presents an application to simulate the installation of a photovoltaic module on the walls of a building. The user can control the module position on the wall by dragging its icon on the screen. When the module position is chosen, the application provides information about the amount of produced energy which, obviously, depends on the module position on the wall. A user study conducted with volunteers revealed a positive overall assessment of the application.
international symposium on mixed and augmented reality | 2014
Maria Beatriz Carmo; Ana Paula Cláudio; António E. N. Ferreira; Ana Paula Afonso; Paula Redweik; Cristina Catita; M.C. Brito; Jose Nunes Pedrosa
We present an AR application for visualizing solar radiation data on facades of buildings, generated from LiDAR data and climatic observations. Data can be visualized using colored surfaces and glyphs. A user study revealed the proposed AR visualizations were easy to use, which can lead to leverage the potential benefits of AR visualizations: to detect errors in the simulated data, to give support to the installation of photovoltaic equipment and to raise public awareness of the use of facades for power production.
digital heritage international congress | 2013
Ana Paula Cláudio; Paula Redweik; Maria Beatriz Carmo; Marta C. Lourenço; Pedro Moniz Lopes; A.P. Alves de Matos; Ana Margarida Campos; Jorge Costa Santos; Jose Nunes Pedrosa; Robin Burgess; José Juan Sanjosé Blasco; Fernando Berenguer Sempere
The last teaching observatory of historical interest in Portugal, from the late 19th century, is one of the most charismatic buildings of the Museums of the University of Lisbon. After 100 years of intense use, the Observatory needs structural restoration before it can be fully returned to public fruition. Recently, a group of students from this University was engaged in the construction of virtual 3D models to recreate the Observatory building and collections. This paper describes the models constructed as a tool to be used for information dissemination among broader audiences.
Archive | 2013
Fernando Marques; Rita Matildes; Paula Redweik
Mass movements of different types and sizes are the dominant process of sea cliff evolution, being a considerable source of natural hazard. To assess the spatial component of sea cliff hazard assessment with implications on planning, i.e. the susceptibility of a given cliff section to be affected by instabilities causing retreat of the cliff top, a statistically based study was carried out along the top of the sea cliffs of Burgau-Lagos coast (Southwest Algarve, Portugal), using the bivariate information value and the multi-variate logistic regression methods applied to a set of predisposing factors related with geology and geomorphology, which were correlated with a photogrammetry based inventory of past cliff failures. The two susceptibility models provided promising results, validated against the inventory data using ROC curves, which indicate that these methods are adequate to assess cliff instability susceptibility at regional scale.
Solar Energy | 2013
Paula Redweik; Cristina Catita; M.C. Brito
Renewable & Sustainable Energy Reviews | 2015
S. Freitas; Cristina Catita; Paula Redweik; M.C. Brito
Renewable Energy | 2017
M.C. Brito; S. Freitas; S. Guimarães; Cristina Catita; Paula Redweik