. "Geographic Information System"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Methods for obtaining geographical information"@en . . "6.00" . "Objectives and Contextualisation\nAt the end of the course, the student will be able to:\n\nBasic aspects of digitization and advanced aspects of topological structuring, as well as modeling tools, obtaining thematic cartography and quantification of the reliability of the products obtained.\nProper use of the statistical concepts that underpin the automatic classification of multivariate data, and in particular those provided by satellite images as well as the most appropriate criteria for the visual interpretation of remote sensor images.\n\n\n\nContent\nPHOTOINTERPRETATION\n\nVisual techniques for identifying land uses and land covers.\nRecognition of different types of land uses and land covers.\nPhotointerpretation: Main applications in the study of the natural and artificial environment.\nInterpretation of multispectral images.\nCartography of support for photointerpretation.\nSTATISTICAL METHODS\n\nIntroduction to multivariate data. Characterization of distributions. Normality test. Correlation. Implications in Remote Sensing. Standardization. Principal Component Analysis.\nStatistical distances between individuals, populations and between individuals and populations. Implications of the scaling of the variables. Divergence measures.\nObtaining new information (multitemporality, collateral data, indexes and transformations). Information reduction from the samples and from the variables. Introduction to obtaining continuous variables and categorical variables: linear and non-linear, simple and multiple regression, classification, etc.\nMultiple regression applied to the interpolation of climatic surfaces.\nGeneralized linear models applied to obtaining suitability surfaces based on the ecological niche modelling.\nHierarchical and non-hierarchical classification. Supervised, unsupervised and hybrid classification; fuzzy classification.\nSegmentation of images. Scales and scene models. Processing methods that take spatial information into account. Segmentation methods. Classification by segments.\nNeural networks.\nGeneralization of results in categorical cartography. Direct methods and smart methods.\nVerification of results in binary cartography. Sampling.\nVerification of results in categorical cartography. Sampling.\n\nCompetences\nContinue the learning process, to a large extent autonomously.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nIntegrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nUse different specialised GIS and remote sensing software, and other related software.\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\nContinue the learning process, to a large extent autonomously.\nIdentify and propose innovative, competitive applications based on the knowledge acquired.\nIntegrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.\nShow expertise in using digitalisation and topological structuring tools, modelling tools, and tools for supervised, unsupervised and mixed image classification.\nUse acquired knowledge as a basis for originality in the application of ideas, often in a research context.\nWork with the statistical concepts underpinning the automatic classification of satellite images, and the most suitable criteria for visually interpreting remote images.\nWrite up and publicly present work done individually or in a team in a scientific, professional context." . . "Presential"@en . "TRUE" . . "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 . . . . . . . . .