. "Remote Sensing"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Principles and practice of remote sensing"@en . . "5" . "Description\n\nThe module will provide an introduction to the basic concepts and principles of remote sensing. It will include 3 components: i) radiometric principles underlying remote sensing: electromagnetic radiation; basic laws of electromagnetic radiation; absorption, reflection and emission; atmospheric effects; radiation interactions with the surface, radiative transfer; ii) assumptions and trade-offs for particular applications: orbital mechanics and choices; spatial, spectral, temporal, angular and radiometric resolution; data pre-processing; scanners; iii) time- resolved remote sensing including: RADAR principles; the RADAR equation; RADAR resolution; phase information and SAR interferometry; LIDAR remote sensing, the LIDAR equation and applications.\n\nThe course aims to:\n\nProvide knowledge and understanding of the fundamental concepts, principles and applications of remote sensing, particularly the electromagnetic spectrum – what it is, how it is measured, and what it tells us;\nProvide examples of applications of principles to a variety of topics in remote sensing, particularly related to climate and environment\nDevelop a detailed understanding of the fundamental trade-offs in the design and applications of remote sensing tools: spatial, spectral, orbital etc.\nIntroduce new technologies, missions and opportunities, including ground-based sensing, lidar at multiple scales, radar, UAVs, new science and commercial missions, open data and the tools that are emerging to exploit these opportunities;\nIntroduce the principles of the radiative transfer problem that underpins most remote sensing measurements and how it is modelled and solved; applications of radiative transfer modelling to terrestrial vegetation;\nIntroduce students to wider remote sensing organisations, policy and careers through invited seminars from professionals in the field, including former RSEM students.\nSessions .\n\nIntroduction to remote sensing\nRadiation principles, EM spectrum, blackbody\nEM spectrum terms, definitions and concepts\nRadiative transfer principles and assumptions\nSpatial, spectral resolution and sampling\nPre-processing chain, ground segment, radiometric resolution, scanners; poster discussion\nActive remote sensing: LIDAR – principles and applications\nActive remote sensing: RADAR –principles and applications\nNew missions and technologies including LIDAR, UAVs, Copernicus etc.\nApplication discussions around assessed posters" . . "Presential"@en . "TRUE" . . "Master in Remote Sensing and Environmental Mapping"@en . . "https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/remote-sensing-and-environmental-mapping-msc#course-overview" . "60"^^ . "Presential"@en . "Students develop an all-round knowledge of remote sensing, mapping and data analysis, including fundamental principles, current technological developments and applications to local, regional and global problems. They gain highly developed, marketable practical skills, particularly coding and data analysis, written and other communication skills to enable them to take leading roles in academic, government and industrial sectors"@en . . . . "1"@en . "FALSE" . . "Master"@en . "Thesis" . "14100.00" . "British Pound"@en . "14100.00" . "None" . "Graduates are highly-employable across a wide range of sectors. Recent graduates have been employed in: international space agencies, commercial geospatial and environmental companies; new start-ups using UAVs and satellite data; government agencies; charities and NGOs. The programme is also suitable training for those wishing to undertake a PhD in a quantitative environmental discipline and a number of our graduates have gone on to become leading researchers in the UK and overseas."@en . "1"^^ . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . .