. "Remote Sensing"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Advanced remote sensing"@en . . "9.00" . "Objectives and Contextualisation\nThis optional module, expands the knowledge acquired in the module of obtaining geographic information of this same master's degree from the study of techniques and applications specific to remote sensing in fields such as meteorology, oceanography, geology and the study of vegetation.\n\nAt the end of the course, the student will be able to:\n\nApply the methodologies to alleviate the different sources of error in order to visualize and extract physical parameters of the received data.\nApply remote sensing techniques to different fields of research and applied.\nRS & METEOROLOGY. TECHNIQUES & EXAMPLES\n\n1. Introduction\n2. Classical meteorology\n3. Interpretation of satellite images\n 3.1 Images in the visible spectrum\n 3.2 Images in the thermal infrared\n 3.3 Images of water vapor\n 3.4 Compositions RGB\n4. The weather radar\n 4.1 Propagation of the microwave into the atmosphere\n 4.2 The radar equation\n 4.3 Observations of the Doppler radar\n\nRS & OCEANOGRAPHY. TECHNIQUES & EXAMPLES\n\n1. Introduction\n2. Fundamentals of Oceanography\n 2.1 Descriptive oceanography\n 2.2 Dynamic oceanography\n 2.3 Remotely observable phenomena\n3. Observation with passive sensors\n 3.1 Observation in the visible spectrum\n 3.2 Observation in the infrared spectrum\n 3.3 Observation in the microwave spectrum\n4. Observation with active sensors\n 4.1 Generalities\n 4.2 The dispersometer\n 4.3 The SAR\n 4.4 The altimeter\n5. Application: sea currents\n\nRS & GEOLOGY. TECHNIQUES & EXAMPLES\n\nContents based on a series of guided practical exercises dedicated to showing examples of the use of Remote Sensing in the monitoring of volcanoes, episodes of floods, monitoring of the evolution of snow and ice, etc.\n\nRS & VEGETATION. TECHNIQUES & EXAMPLES\n\n1. The problematic thematic/spectral classes. Land uses and land coverings.\n2. Specific techniques.\n 2.1 Spectral separability\n 2.2 Vegetation indexes\n 2.3 Tasseled Cap Transformation.\n3. Prevention of forestfires.\n4. Active fire.\n5. Techniques of analysis of changes in time.\n 5.1 Assessment of burnt surfaces.\n 5.2 Studies of regeneration of vegetation after forest fires.\n6. Analysis and multitemporal classification of roofs (example of crops)\n 6.1 Spectral signatures\n 6.2 Phenology and temporary signatures\n 6.3 Classification\n 6.4 Analysis of changes\n 6.5 Enrichment of databases\n7. Examples of practical applications\n\nCompetences\nApply different methodologies for the primary processing of images obtained by remote sensors in order to subsequently extract geographic information.\nContinue the learning process, to a large extent autonomously.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nTake a holistic approach to problems, offering innovative solutions and taking appropriate decisions based on knowledge and judgement.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nUse the different techniques for obtaining information from remote images.\nWrite up and publicly present work done individually or in a team in a scientific, professional context.\nLearning Outcomes\nApply remote sensing techniques to different research and applied-research fields.\nContinue the learning process, to a large extent autonomously.\nCorrectly apply methodologies to mitigate the different sources of error in order to visualise and extract physical parameters from the data received.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nTake a holistic approach to problems, offering innovative solutions and taking appropriate decisions based on knowledge and judgement.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nWrite up and publicly present work done individually or in a team in a scientific, professional context." . . "Presential"@en . "FALSE" . . "Master in Remote Sensing and Geographical Information Systems"@en . . "https://www.uab.cat/web/estudiar/official-master-s-degrees/general-information/remote-sensing-and-geographical-information-systems-1096480962610.html?param1=1345664654736" . "60"^^ . "Presential"@en . "The techniques of remote sensing and Geographic Information Systems (GIS) are essential for studying the Earth and managing its resources, for both academic and business purposes, in such varied fields as the following.\n\nInstruments: satellites, drones, GPS systems.\nGeographical information: cartographic institutes, Bing and Google Maps, OpenStreetMap, etc.\nCataloguing data and metadata in spatial data infrastructures.\nSoftware, such as the free programme MiraMon.\nThis programme has a scientific and technical orientation and gives training in Earth-observation techniques, and in the generation and analysis of information for studying the territory and managing its resources through GIS. It is taught in collaboration with CREAF, GRUMETS, MiraMon and Copernicus Academy."@en . . . . "1"@en . "FALSE" . . "Master"@en . "Thesis" . "5100.00" . "Euro"@en . "6360.00" . "None" . "Specialist in remote sensing and GIS in private companies or public authorities that make wide use of GIS and need personnel with advanced knowledge to manage geospatial data on a daily basis.\nResearcher in both methods and in remote sensing and GIS applications at universities and research centres."@en . "0"^^ . "TRUE" . "Downstream"@en . . . . . . . . .