. "Remote Sensing"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Fundamentals of remote sensing"@en . . "6.0" . "### Working language\n\nPortuguese and English\n\n### Goals\n\nThis UC aims to introduce the basic concepts of Remote Sensing (RD), which will serve as the basis for the frequency of specific UC DR, from the 2nd semester of the 1st year.\n\nPretend that students:\n\n1) Acquire basic knowledge about the physical principles of remote sensing, in particular about radiometry and the interaction of radiation with the atmosphere and the Earth's surface.\n\n2) Get to know the immense potential of remote sensing in Earth observation.\n\n3) Get to know the main characteristics of the orbits of Remote Sensing satellites.´\n\n4) Get to know the vast set of satellite data available and be able to identify the most suitable one for solving a given problem.\n\n5) Know the specific characteristics of microwave sensors versus optical and thermal sensors, advantages and tolerances of each type.\n\n### Learning outcomes and skills\n\nStudents must:\n\n1) Be able to identify the strengths and limitations of remote sensing in Earth observation, in particular: the physical principles of remote sensing; the main characteristics of DR satellite orbits and how they affect the ability to acquire DR data; main satellites and sensors and their characteristics..\n\n2) Know the vast set of available satellite data and be able to identify the most appropriate one to solve a given problem.\n\n### Working mode\n\nin person\n\n### Program\n\n1\\. Introduction to Remote Sensing.\ntwo\\. Energy sources and radiometric concepts\n3\\. Interaction of energy with the atmosphere\n4\\. Interaction of energy with the Earth's surface\n5\\. Orbits of remote sensing satellites.\n6\\. Earth Observation Satellites\n6.1 Characteristics of satellites and sensors; Types of Sensors.\n6.2 Environmental satellites\n6.3 Oceanographic satellites\n6.4 Weather satellites\n6.5 High resolution satellites (spatial and/or spectral)\n7\\. Microwave sensors.\n\n### Mandatory Bibliography\n\nJensen John R.; [Remote sensing of the environment](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000285191 \"Remote sensing of the environment (Abre numa nova janela)\"). ISBN: 0-13-188950-8 \nLillesand, T.M., Kiefer, R.W.; Remote Sensing and Image Interpretation, John Wiley and Sons, 7th Edition,, 2015 \nRees, W. G; Physical Principles of Remote Sensing, University of Cambridge, 3rd Edition , 2013 \nProst Gary L.; [Remote sensing for geoscientists](http://catalogo.up.pt/F/-?func=find-b&local_base=FCUP&find_code=SYS&request=000297467 \"Remote sensing for geoscientists (Abre numa nova janela)\"). ISBN: 978-1-4665-6175-5 ebook \n\n### Complementary Bibliography\n\nRichards, J.A., Jia, X; Remote Sensing Digital Image Analysis - An Introduction, Fifth Edition, Springer-Verlag, 2013 \nGonzalez, R.C., Woods, R.E. ; Digital Image Processing, Addison-Wesley, 2008 \n\n### Teaching methods and learning activities\n\nTheoretical content classes are given based on Power Point presentations. In the practical classes, it is proposed to solve exercises that aim to apply and complement the knowledge given in the theoretical ones, especially those referring to points 2) and 5) of the program. At the beginning of each class, a period will be reserved for students to raise questions about the content of the previous class, thus trying to encourage continuous and regular study.\n\nSince the objectives of this UC are the transmission of basic knowledge of Remote Sensing, it does not include the use of any type of software, this component being covered by the UC Digital Image Processing and Computing for Remote Sensing.\n\n### Type of evaluation\n\nEvaluation by final exam (100%)\n\n### Occupation Components\n\nSelf-study (hours): 120.00\n\nFrequency of classes (hours): 42.00\n\n**Total:**: 162.00\n\n### Get Frequency\n\nClass attendance is mandatory. Students may lose attendance if they exceed the number of absences provided by law.\n\n### Final classification calculation formula\n\nAssessment is carried out in a final exam (EF), with two components: Theoretical (T) and Practical (P).\n\nFinal: CF=T \\*0.7 + P\\*0.3.\n\nMore information at: https://sigarra.up.pt/fcup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=479403" . . "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 . . . . . . . . . . . . . . . . . . . . .