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TITLE: Digital Reconstitution of Road Traffic Accidents: A Flexible Methodology Relying on UAV Surveying and Complementary Strategies to Support Multiple Scenarios  Full Text
AUTHORS: Luís Pádua; José Sousa; Jakub Vanko; Jonáš Hruška; Telmo Adão ; Emanuel Peres ; António Sousa; Joaquim J Sousa;
SOURCE: International Journal of Environmental Research and Public Health, VOLUME: 17, ISSUE: 6, PUBLISHED: 2020
INDEXED IN: CrossRef
IN MY: ORCID
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TITLE: Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities  Full Text
AUTHORS: Nathalie Guimarães; Luís Pádua; Pedro Marques; Nuno Silva; Emanuel Peres ; Joaquim J Sousa;
SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 6, PUBLISHED: 2020
INDEXED IN: CrossRef
IN MY: ORCID
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TITLE: Evaluation of machine learning techniques in vine leaves disease detection: A preliminary case study on flavescence dorée
AUTHORS: Hruška, J; Adão, T; Pádua, L; Guimarães, N; Peres, E ; Morais, R; Sousa, JJ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
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TITLE: Multi-purpose chestnut clusters detection using deep learning: A preliminary approach
AUTHORS: Adão, T; Pádua, L; Pinho, TM; Hruška, J; Sousa, A ; Sousa, JJ; Morais, R; Peres, E ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
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TITLE: Post-fire forestry recovery monitoring using high-resolution multispectral imagery from unmanned aerial vehicles
AUTHORS: Pádua, L; Adão, T; Guimarães, N; Sousa, A ; Peres, E ; Sousa, JJ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef: 1
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TITLE: Using virtual scenarios to produce machine learnable environments for wildfire detection and segmentation
AUTHORS: Adão, T; Pinho, TM; Pádua, L; Santos, N; Sousa, A ; Sousa, JJ; Peres, E ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef