. "Geospatial Analytics And Modelling"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Spatial analysis"@en . . "9.00" . "Objectives and Contextualisation\nAt the end of the course, the student will be able to:\n\nDominate at the practical level the different tools related to the interpolation and terrain analysis.\nUse the main applications for the generation of new information from GIS data.\nIdentify the concepts associated with spatial analysis, its applications and its limitations.\n\n\nContent\nANALYSIS IN GIS\n\n1. General Concepts of GIS Analysis\n 1.1 Introduction\n 1.2 Specifications regarding the data model\n 1.3 Combining raster-vector analysis\n\n2. Layers combinations\n 2.1 Variants and possibilities\n 2.2 Vector overlay\n 2.3 Transfer of attributes\n 2.4 Categorical data\n\n3. Map algebra\n 3.1 Previous conditions\n 3.2 Characteristics\n 3.3 NODATA\n 3.4 Multicriteria decision analysis\n\n4. Propagation of errors\n 4.1 Geometric quality criteria\n 4.2 Thematic quality criteria\n 4.3 Elimination of results by criteria of geographical insignificance\n\n5. Analysis of the landscape\n 5.1 Introduction to the conceptual and methodological framework of landscape ecology\n 5.2 Calculation and analysis of landscape indexes at various scales\n 5.3 Analysis of the ecological connectivity of the landscape\n\n6. Spatial autocorrelation\n 6.1 Concepts\n 6.2. Indicators and indexs.\n\n7. Space interpolation\n 6.1 Concepts\n 6.2 Polygons of Thiessen\n 6.3 Trend surfaces\n 6.4 Kriging\n\n8. Logistic regression\n 8.1 Characteristics\n 8.2 Spatial applications\n 8.3 Limitations and adjustments of models\n\n9. Analysis of distances\n 9.1 Cartesian distances and geodesic distances\n 9.2 Generation of continuous and buffer maps\n 9.3 Anisotropic distances and cost analysis\n 9.4 Introduction to network analysis\n\nDIGITAL TERRAIN MODELS\n\n1. Concepts\n 1.1 Fundamental concepts and terminology (DTM, DEM, DSM, etc.)\n 1.2 Models of data: raster, TIN, isolines, etc. BIM and LoD#.\n 1.3 Vertical and geoid duck\n2. Collection ofdata. Primary (field, photogrammetry, lidar, InSAR, etc.) and Secondary\n3. Generation of DTM\n 3.1 Interpolation from points: Inverse of the weighted distance (IDW), splines, kriging. Neighborhood Statistics. Processing of lidar data\n 3.2 Interpolation from isolines\n 3.3 Generation of TIN models\n4. Quality of MDT\n 4.1 Altimeter quality\n 4.2 Control of the error in the DTM\n 4.3 Propagation of error in derivative models\n5. Derived models\n 5.1 Slope, orientations, curvatures, etc.\n 5.2 Hydrographic basins, drainage network\n 5.3 Illumination, shading and solar radiation\n6. Applications\n 6.1 Applications in the processing of remote sensing images: geometric and radiometric image rectification.\n 6.2 Topographical profiles and visibility analysis\n 6.3 Three-dimensional perspectives\n \nINTERFEROMETRY\n\n1. Introduction\n 1.1. Image sensors\n 1.2. Spectral window\n 1.3. SAR missions (Synthetic Aperture Radar)\n2. SAR concept\n 2.1. Classical radar\n 2.2. SAR technical concepts\n3. SAR image\n 3.1. Spectral and reflection characteristics\n 3.2. Geometric distortions\n 3.3. Georeferencing on SAR imagery\n4. SAR Interferometry (InSAR)\n 4.1. Basic formulation\n 4.2. Coherence and noise sources\n 4.3. How to create an Elevation Map using InSAR\n5. Differential Interferometry SAR (DInSAR)\n 5.1. Basic formulation\n 5.2. How to create a ground motion map with DInSAR\n 5.3. Characteristics of DInSARproducts\n6.PSI Techniques (Persistent Scatterer Interferometry)\n 6.1. Basic concepts\n 6.2. PSI Processor Components\n 6.3. Scatterers\n 6.4. Examples of ground motion measurements with PSI\n\nCompetences\nAnalyse and exploit geographic data from different sources to generate new information from pre-existing data.\nCommunicate and justify conclusions clearly and unambiguously to both specialist and non-specialist audiences.\nContinue the learning process, to a large extent autonomously.\nDesign and apply a methodology, based on the knowledge acquired, for studying a particular use case.\nIntegrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.\nUse different specialised GIS and remote sensing software, and other related software.\nUse different techniques and concepts for generating useful information in spatial analysis.\nWrite up and publicly present work done individually or in a team in a scientific, professional context.\nLearning Outcomes\nCommunicate and justify conclusions clearly and unambiguously to both specialist and non-specialist audiences.\nContinue the learning process, to a large extent autonomously.\nDesign and apply a methodology, based on the knowledge acquired, for studying a particular use case.\nExploit geographic data through map algebra, layer combination, network analysis and other techniques, taking the right decisions for each problem area based on the knowledge acquired.\nIdentify the concepts associated with spatial analysis, their applications and their limitations.\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 the different tools of terrain analysis and interpolation.\nUse the main applications for generating new information from GIS data.\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 . . . . . . . . .