. . . "Explain the pre-processing chain applied to sensor output from raw data to interpretable geological and geophysical data products, including pre-processing, calibration, corrections, geolocation, and filtering."@en . . "Explain the pre-processing chain applied to sensor output from raw data to interpretable geological and geophysical data products, including pre-processing, calibration, corrections, geolocation, and filtering."@en . . . "Evaluate the uncertainties of data processing and mapping products."@en . . "Evaluate the uncertainties of data processing and mapping products."@en . . . "Understand sensor specifications and their processed image products, in order to assess their application for a particular geological/mineralogical setting and targeted mapping activity."@en . . "Understand sensor specifications and their processed image products, in order to assess their application for a particular geological/mineralogical setting and targeted mapping activity."@en . . . "Compose and generate earth science map products using the integration of various earth science information to construct a surface and sub-surface geological interpretation."@en . . "Compose and generate earth science map products using the integration of various earth science information to construct a surface and sub-surface geological interpretation."@en . . . "Choose and apply appropriate algorithms to processed geophysical and remote sensing products for the extraction of compositional and structural earth science information."@en . . "Choose and apply appropriate algorithms to processed geophysical and remote sensing products for the extraction of compositional and structural earth science information."@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . . . . . . . . . "Applied Remote Sensing for Earth Sciences"@en . "ARS"@en . . . "Erdas"@en . . . "LPS"@en . . . "Matlab"@en . . . "RStudio"@en . . . "Course"@en . "201800291" . "ARS_003" . "7"^^ . "196"^^ . "10"^^ . "2023-04-20T22:00:00Z"^^ . "f2f" . "online" . "The course has lectures to introduce background knowledge, concepts and case studies that include question-and-answer moments. Supervised practicals related to lectures are scheduled throughout the course. Assessed assignments will include submitting exercises, written test, and individual project work about geoscience map generation and interpretation case study, and a final individual examination. Significant time is reserved for self-study and unsupervised practical activity."@en . "Students should have experience with GIS and Remote Sensing, and a background in infrared spectroscopy, imaging spectroscopy, and spectral modelling applied to earth resource exploration (spectral geology and spectral data processing courses or equivalent). ,Compulsory for the ‘Applied Remote Sensing for Earth Sciences’ (ARS) specialization of the ‘Geo-information Science and Earth Observation (M-GEO) programme.\nStudents from other specializations and programmes should have experience with GIS and Remote Sensing, and a background in infrared spectroscopy, imaging spectroscopy, and spectral modelling applied to earth resource exploration (spectral geology and spectral data processing courses or equivalent)."@en . "4"^^ . "3" . "2A" . "2023-02-05T23:00:00Z"^^ . "This course gives an introduction to geological remote sensing in the application of earth resources mapping. It includes the integration of regional geophysics and remote sensing imagery for geoscience interpretation and map generation. The course is designed for students with a background in earth sciences and an ability to operate remote sensing and GIS software.\n\nThe course covers descriptions and applications of regional geophysics, radar, and their integration with multi-spectral sensors for geological remote sensing. Background theory of regional geophysical techniques and radar are outlined, including their processing and filtering techniques. The integration of theses datasets with multi-spectral sensors is also outlined. Pre-processing and information extraction algorithms are covered for students to understand the steps involved in converting raw data and images' digital numbers into structural and compositional mapped products. The evaluation of the mapped products and their uncertainties will be also outlined.\n\nThe course includes the practical application and map generation by students of interpreted geological information from relevant geophysical, remote sensing, and geoscience datasets."@en . "Geological Remote Sensing"@en . "Geological Remote Sensing"@en . "Geological Rem