. "Geospatial Analytics And Modelling"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Remote sensing and gis software"@en . . "3.0" . "### Working language\n\nPortuguês - Suitable for English-speaking students\n\n### Goals\n\nIn this Curricular Unit it is intended that students acquire skills and knowledge within the scope of the computational development of new tools/applications in the areas of remote sensing and GIS. More specifically:\n\n1. Know the graphical environment of the software to be used.\n2. Use of GIS and Remote Sensing tools.\n3. Acquire training on geospatial libraries and programming paradigms involved.\n4. Automating algorithms for data processing and analysis.\n\n### Learning outcomes and skills\n\nDuring contact with the software and available tools, the student will be encouraged to know, explore and question the functioning of the software with the monitoring of the code presented in the python-_notebook_ and its implementation, contributing to the consolidation of knowledge; classes using software and script development will allow the student to finalize the creation of an application/tool, integrating all the concepts learned so far within the scope of the Curricular Unit.\n\n### Working mode\n\nIn person\n\n### Program\n\n2. Exploration of spatial data modules: GDAL/OGR.\n \n4. Introduction to QGIS software.\n * Exploitation of remote sensing oriented tools integrated in QGIS.\n * Semi automatic classification plugin.\n * Orfeo-Toolbox.\n\n * Introduction to PyQt4 library and QGIS API (qgis.gui and qgis.core).\n * Official framework for creating applications in QGIS software.\n * Importation of algorithms from the Processing Toolbox framework.\n \n6. Introduction to GRASS-GIS software (vector and raster layers; layer properties; visualization of geospatial information; geprocessing; manipulation of multispectral images).\n \n8. Introduction to processing SAR Image products with ESA-SNAP. Radiometric calibration, noise reduction with application of filters and multilook technique, geometric correction. Integration of the final product in GRASS-GIS for geospatial analysis.\n \n\n### Mandatory Bibliography\n\nLawhead, J.; QGIS Python Programming Cookbook, 2015\nMarkus Neteler, Helena Mitasova; Open Source GIS: A GRASS GIS Approach, Springer, 2010\nGary Sherman; Desktop GIS: Mapping the Planet with Open Source Tools, Pragmatic Bookshelf, 2008\n\n### Teaching methods and learning activities\n\nClasses are taught with an essentially practical component and complemented with a theoretical context that will be presented in _the form of worksheets integrated between the different software_, where students follow the material interactively and implement it using the QGIS, GRASS software -GIS and ESA-SNAP.\n\nAssessment is carried out at the end of the program with a practical exam where problems are posed and students must think/reflect and implement a solution. This assessment is carried out with the support of the interactive _notebook_ provided in class.\n\nPractical exam – 100%\n\n### Software\n\nQGIS\nGRASS-GIS\n\n### Type of evaluation\n\nEvaluation by final exam\n\n### Assessment Components\n\nExam: 100.00%\n**Total:**: 100.00%\n\n### Occupation Components\n\nFrequency of classes: 21.00 hours\nSelf-study: 60.00 hours\n\n**Total:**: 81.00 hours\n\n### Get Frequency\n\nFrequency is obtained by taking a final exam.\n\n### Final classification calculation formula\n\nFinal exam.\n\nMore information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479387" . . "Presential"@en . "TRUE" . . "Master in Remote Sensing"@en . . "https://sigarra.up.pt/fcup/en/cur_geral.cur_view?pv_ano_lectivo=2021&pv_curso_id=16781" . "120"^^ . "Presential"@en . "The FCUP Master’s degree in Remote Sensing offers advanced training in Earth observation techniques, analysis and use of geospatial data acquired by sensors deployed on space-borne or aerial platforms. This Programme aims to equip students with skills on the fundamentals of Remote Sensing (RS), the application potential of the various sensors, acquisition techniques, data processing and analysis, and familiarization with various RS and Geographical Information Systems (GIS) data processing tools. Students are expected to be able to use this knowledge in the study of the planet and in solving problems in various fields of application. \nTo this end, the Programme was organised with a common core of curricular units addressing fundamental subjects and a set of optional units that aim to teach specific skills in applications for the study of the ocean, agriculture and forests, coastal zones, climate change, etc. \n\nVídeo de Apresentação: https://youtu.be/_JlMlgmp81U\n\n### Programme structure\n\nThe FCUP MSc in Remote Sensing is a two-year programme organised as follows \n\n* a first year corresponding to a study programme of a set of curricular units (60 ECTS);\n* a second year corresponding to a scientific dissertation or a professional internship with a final report (54 ECTS) plus a supporting curricular unit of 6 ECTS on scientific writing.\n\n### Schedule and teaching language\n\nThe Master's degree runs on a concentrated schedule predominantly on Friday afternoons and on Saturday mornings, attracting students from all over the country, including working students. It is also intended to attract students from other countries, and it is anticipated that classes may be taught in English. \n\n### Employment Prospects\n\nAs this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data. \nIt is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD. \n\n### Entry requirements\n\n1. Hold a higher academic degree in a study programme whose curricula provides students adequate scientific background for Remote Sensing: several branches of Engineering, Environmental Sciences, Informatics, Mathematics, Physics, Geophysics, Geology and related fields.\n2. Hold a foreign higher academic degree in one of the areas described in the previous paragraph.\n3. Hold an academic, scientific or professional curriculum recognized by the scientific committee of the MSc Programme as sufficient to prove capacity to carry out this study program.\n\n### Selection criteria\n\n1\\. Academic curriculum (60%)\n\n* Sub-criterion 1: Training area (20%) \n First degrees with study plans which include scientific background for Remote Sensing will be valued. Background in Mathematics (8%), Informatics / Programming (8%) and Physics (4%) will be considered.\n* Sub-criterion 2: First degree’s grade (40%) \n For candidates who do not yet hold a degree but can obtain it before the end of the registration period, as well as for those who satisfy the condition iii) of entry requirements, the first degree’s grade is replaced by the credit-weighted average of grades in the completed courses.\n\n2\\. Scientific curriculum and professional experience (40%)\n\n* Sub-criterion 1: Technical and/or scientific publications and communications (15%) \n The following aspects will be considered: peer-reviewed papers in scientific journals (10%); other scientific papers (5%);\n* Sub-criterion 2: Participation in research projects (5%)\n* Sub-criterion 3: Professional curriculum (20%) \n The duration and nature of professional activity in areas of relevance to the Master’s programme shall be considered, as follows: relevance of the professional activity (12%); duration of the professional activity (8%).\n\nIn case of equal ratings the following criteria will be adopted:\n\n* First’s degree mark\n* Number of years of professional activity on a relevant field.\n* Number of scientific papers\n* Participation in internships during the first degree, in Remote Sensing topics.\n \n\n### Contacts\n\nCourse Director: m.dr.diretor@fc.up.pt\n\nPostgraduate Section: pos.graduacao@fc.up.pt\n\nAcademic Degree: Master\n\nType of course/cycle of study: Masters Degree \n\nDuration: 4 Semesters\n\n### Study Plan\n\n* The study plan from 2018: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_view?pv_plano_id=22922&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR \n\n* All Courses of Study: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_list?pv_curso_id=16781&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR \n\n### Certificates\n\n* Master's degree in Remote Sensing (120 ECTS credits)\n* Specialization in Remote Sensing (60 ECTS credits)"@en . . . . "2"@en . "FALSE" . . . "Master"@en . "Thesis" . "1300.00" . "Euro"@en . "3750.00 (International) / 2250.00 (CPLP)" . "Recommended" . "As this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data.\nIt is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD."@en . "1"^^ . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . .