. . "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 Remote Sensing"@en . . . "Learning outcome"@en . . "Evaluate the uncertainties of data processing and mapping products."@en . "Evaluate the uncertainties of data processing and mapping products."