. "Satellite Navigation And Positioning"@en . . . . . . . . . . . . . . . . . . . . . . . "Gnss applications"@en . . "3.0" . "### Working language\n\nPortuguês - Suitable for English-speaking students\n\n### Goals\n\nUnderstand the operating principles of GNSS systems (Global Navigation Satellite Systems).\n\n### Learning outcomes and skills\n\nA. Know the characteristics of the current GNSS (Global Navigation Satellite Systems), identify their limitations, and acquire the necessary knowledge to determine positions and speeds.\n\nB. Identify and understand issues that may affect GNSS observations and how to overcome them.\n\nC. Knowing the advantages, and necessity, of integrating GNSS with other sensors and identifying the most appropriate solutions depending on the type of application and the desired positional accuracy.\n\nD. Realize that in science what, for some, is noise, for others, can be a valuable source of data, which allows the acquisition of relevant information for various areas of Earth and Space sciences.\n\n### Working mode\n\nIn person\n\n### Prerequisites (prior knowledge) and co-requisites (concurrent knowledge)\n\n\\- Elementary knowledge of Reference Systems\n \n\\- Orbits\n\n### Program\n\n1\\. Introduction to global positioning techniques: evolution and basic concepts, operating principles, types of observables, error sources.\n\ntwo\\. Methodologies to eliminate and model errors in the determination of positions and velocities.\n\n3\\. GNSS integration with other sensors. Practical examples of application in remote sensing.\n\n4\\. Methods for advanced analysis of long series of temporal data. Applications in Geosciences.\n\n5\\. Ionosphere: introduction and basic concepts. Influence on the accuracy of GNSS measurements. Use of GNSS data to characterize the state of the ionosphere and identify disturbances.\n\n6\\. Reflected signals: applications of GNSS reflectometry.\n\n### Mandatory Bibliography\n\nSanz Subirana Jaume; [GNSS data processing](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000296749 \"GNSS data processing (Opens in a new window)\"). ISBN: 978-92-9221-886-7\n\n### Complementary Bibliography\n\nGroves Paul D.; [Principles of GNSS, inertial, and multisensor integrated navigation systems](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000291643 \"Principles of GNSS, inertial, and multisensor integrated navigation systems (Opens in a new window)\"). ISBN: 978-1-58053-244-6\n\n### Teaching methods and learning activities\n\nClasses include theoretical exposition but also oral presentations by students. Students must write and deliver a report corresponding to the work they have presented.\n\n### Type of evaluation\n\nDistributed evaluation with final exam\n\n### Assessment Components\n\nPresentation/discussion of a scientific work: 20.00%\nExam: 80.00%\n\n**Total:**: 100.00%\n\n### Occupation Components\n\nFrequency of classes: 21.00 Hours\nSelf-study: 40.00 hours\nLaboratory work: 20.00 hours\n\n**Total:**: 81.00\n\n### Get Frequency\n\nStudents cannot exceed the maximum number of absences from theoretical-practical classes, in accordance with the legislation in force at FCUP:\n\n### Final classification calculation formula\n\nThe final classification (EF) results from the performance in the Theoretical Exam (ET) and Presentations and Reports (AR)\n\nThe final classification will be: CF= ET \\*0.8 + AR\\*0.2\n\nMinimum: 50% in the written exam and 50% in the Presentations and Report\n\nNOTE: Classification superior to 15 points in the theoretical exam will only be attributed after carrying out a complementary oral test.\n\nMore information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479386" . . "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 . . . . . . . . . . . . . . . . . . . . .