Carla Roque Rebelo
@cics.nova.fcsh.unl.pt
Research Colaborator
CICS.NOVA
Presently, she is GIS manager in Nuno Leónidas Arquitect company. Is collaborator researcher in Luco project . Between 2020-2021, she was researcher in DroneWater High Resolution UAV Imagery Applied to Water Management project of CERIS Research Centre at IST, Universidade Técnica de Lisboa. Collaborator researcher at , in the Modelling and Planning Systems group at the Faculty of Social Sciences and Humanities, Universidade NOVA de Lisboa. Deputy Technical Director at the National Land Registry System Project of East Timor between 2014 and 2019. Lecturer with vast experience in teaching Geomatics-related courses, such as Geographic Information Systems (GIS), FOSS GIS, and Photogrammetry in various higher education institutions. Current research interests include Remote Sensing and Photogrammetry, geographical database management, FOSS GIS technologies, UAV point clouds, and 3
RESEARCH, TEACHING, or OTHER INTERESTS
Geography, Planning and Development, Computers in Earth Sciences, Computer Science Applications, Management of Technology and Innovation
Scopus Publications
Scholar Citations
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Scholar i10-index
Scopus Publications
Carla Rebelo and João Nascimento
MDPI AG
Remote sensing methodologies could contribute to a more sustainable agriculture, such as monitoring soil preparation for cultivation, which should be done properly, according to the topographic characteristics and the crop’s nature. The objectives of this work are to (1) demonstrate the potential of unmanned aerial vehicle (UAV) technology in the acquisition of 3D data before and after soil tillage, for the quantification of mobilised soil volume; (2) propose a methodology that enables the co-registration of multi-temporal DTMs that were obtained from UAV surveys; and (3) show the relevance of quality control and positional accuracy assessment in processing and results. An unchanged-area-matching method based on multiple linear regression analysis was implemented to reduce the deviation between the Digital Terrain Models (DTMs) to calculate a more reliable mobilised soil volume. The production of DTMs followed the usual photogrammetric-based Structure from Motion (SfM) workflow; the extraction of fill and cut areas was made through raster spatial modelling and statistical tools to support the analysis. Results highlight that the quality of the differential DTM should be ensured for a reliable estimation of areas and mobilised soil volume. This study is a contribution to the use of multi-temporal DTMs produced from different UAV surveys. Furthermore, it demonstrates the potential of UAV data in the understanding of soil variability within precision agriculture.
Rossana Estanqueiro, José António Tenedório, Carla Rebelo, and Joao Pedro Marques
IGI Global
Urbanism has mainly used 2D data for both the urban analysis and diagnosis and the presentation of proposals for changes in the whole city or parts of the city. Even regarding the production of urban indicators, using, for example, the quantification of the existing green area in relation to the resident population, this practice is regularly based on the area and rarely on volume. This situation is mainly justified by the sluggishness and costs associated with obtaining 3D data. The recent development of data collection technology by unmanned aerial vehicles has triggered a change in this scenario. This chapter presents the UAV data acquisition and processing chain, analyses the positional accuracy of UAV data processing performed with GCP measurements obtained from GNSS, demonstrates how positional accuracy assessment and UAV workflow's quality control are relevant for ensuring the accuracy of derived UAV geospatial products, and demonstrates the usability of 3D models in a theoretical 3D urbanism context.
Rebelo, Rodrigues, and Tenedório
MDPI AG
Multi-temporal analysis of census small-area microdata is hampered by the fact that census tract shapes do not often coincide between census exercises. Dasymetric mapping techniques provide a workaround that is nonetheless highly dependent on the quality of ancillary data. The objectives of this work are to: (1) Compare the use of three spatial techniques for the estimation of population according to census tracts: Areal interpolation and dasymetric mapping using control data—building block area (2D) and volume (3D); (2) demonstrate the potential of unmanned aerial vehicle (UAV) technology for the acquisition of control data; (3) perform a sensitivity analysis using Monte Carlo simulations showing the effect of changes in building block volume (3D information) in population estimates. The control data were extracted by a (semi)-automatic solution—3DEBP (3D extraction building parameters) developed using free open source software (FOSS) tools. The results highlight the relevance of 3D for the dasymetric mapping exercise, especially if the variations in height between building blocks are significant. Using low-cost UAV backed systems with a FOSS-only computing framework also proved to be a competent solution with a large scope of potential applications.
Carla Rebelo, António Manuel Rodrigues, José António Tenedório, José Alberto Goncalves, and João Marnoto
Springer International Publishing
José António Tenedório, Carla Rebelo, Rossana Estanqueiro, Cristina Delgado Henriques, Luís Marques, and José Alberto Gonçalves
IGI Global
Measuring urban form, modelling 3D point clouds and visualizing data within an (augmented) mixed reality environment through mobile devices are three of the new developments in Geographical Information Technology for urban and spatial planning. New geographical information technology supports data representation for urban and spatial planning. This chapter has two main objectives: (i) to demonstrate that geographical information technology supports every stage of urban and spatial planning, and (ii) to argue that technologies are a means for the external representation of cities and territories. The chapter sections include measuring urban form (quantitative analysis of urban shape), modelling 3D point clouds for the extraction of urban parameters, and the visualization of virtual models through mobile devices.
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REBELO, C.; RODRIGUES; A.M.; J.A. TENEDÓRIO; J.A; GONÇALVES J.A; GONÇALVES, MARNOTO, J. (2015). Building 3D City Models: Testing and Comparing Laser Scanning and Low-Cost UAV Data Using FOSS Technologies. In B. Gervasi, O., Murgante, B., Misra, S., Gavrilova , M., Rocha, A.,Torre, C., Taniar, D. and Apduhan (Ed.) Computational Science and Its Applications – ICCSA 2015, (pp. 367–379). Banff, Canada: Springer. DOI: 10.1007/978-3-319-21470-2.