. . "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 . . "201800318" . "ARS_004" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "Combination of self-directed learning in individual assignments, learning by joint work with colleagues in a group assignment during field data collection, and theory lectures in support of the practical work and operation of field equipment."@en . . . . . . "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 a background in earth sciences, knowledge of GIS and Remote Sensing techniques for geological applications, and a basic understanding of chemical analytical methods"@en . . . "6"^^ . "4" . "2B" . . . . "2023-04-23T22:00:00Z"^^ . "Field methods play an important role in geological remote sensing studies for validation of remote sensing interpretations and characterization of rocks and geological environments.\n\nThis course introduces students to state-of-the-art methods for field validation and characterization of rock and outcrop. Methods include the acquisition of measurements of mineralogical and chemical rock composition and physical rock properties. Acquisition of field data is practiced with a variety of field instruments, including reflectance and gamma-ray spectrometers and portable XRF.\n\nThe preparation and execution of a field campaign is also practiced in this course. A remote sensing study is performed prior to field work and forms the basis for the preparation of detailed field data acquisition plans. Data collection using various sampling strategies and different instruments will be exercised in the field and includes assessment of data quality. Results of the field campaign are analysed, interpreted and integrated with the results of desk studies. Additional measurements may be performed in the ITC geoscience laboratory."@en . "Field measurements and validation"@en . . "Field measurements and validation"@en . "Field measurements and validation"@en . . "201800273" . "ARS_001" . "7"^^ . "196"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "online" . "The course is designed for self-directed learning in an online (e-learning) setting. Independent of the COVID-19 situation, the majority of the course can be done online or at home. The course uses short lectures to introduce course components; interactive sessions for plenary question-and-answer moments as well as personalized feedback; and individual practical assignments. During the course is ample time for self-study and experimenting with scripting and data processing."@en . . . . . . "Students should have introductory-level experience with GIS and Remote Sensing and possess an affinity with earth sciences, physical geography or spatial sciences.An account with Google for accessing the EarthEngine ,Participants should have introductory-level experience with GIS and Remote Sensing and possess an affinity with earth sciences, physical geography or spatial sciences. Participants will need an account with Google and Google Earth Engine to follow the practicals."@en . . . "3"^^ . "2" . "1B" . . . . "2022-11-13T23:00:00Z"^^ . "Earth observation (EO) satellites generate large amounts of geospatial data that are freely available for society and researchers. Technologies such as cloud computing and distributed systems are modern solutions to access and process big Earth observation data. Examples of online platforms for big Earth observation data management and analysis are, just to name a few popular ones, the Google Earth Engine, the Sentinel Hub and the Open Data Cube.\n\nThis course is on processing remote sensing data from operational and historic missions in an online platform, with specific emphasis on earth science applications. The course first gives an introduction to scripting with a higher-level programming language, such as Python or JavaScript. Writing own scripts allows to create custom processing solutions, automate such processing chains, apply them to various remote sensing data and provide scalable solutions for handling small or large data sets. The application to Earth sciences will help you to recognize landforms in images, determine earth surface composition and derive various physical parameters from the Earth surface."@en . "Spectral Data Processing"@en . . "Spectral Data Processing"@en . "Spectral Data Processing"@en . . "201800287" . "ARS_002" . "7"^^ . "196"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "flipped classroom" . "This research-informed course contains lectures to introduce new theory, reading assignments and other self-study exercises with associated feedback sessions to deepen the theory, and supervised and unsupervised practicals to put the theory into practice. The course furthermore contains hands-on introductions to some key GeoScience Laboratory instruments. Overall, the course has a very strong experiential learning component.\n\nThe course will be completed by a group assignment in which skills from the course will be applied to an authentic sample set to produce a useful dataset and relevant scientific results in, as much as possible, a real-world context."@en . . . . . . . "Students from other specializations and programmes should have introductory level experience with GIS and Remote Sensing, have an affinity with Earth sciences, and have a good background knowledge of rocks and minerals. ,Compulsory for the Applied Remote Sensing for Earth Sciences (ARS) specialization of the Geo-Information Science and Earth Observation (M-GEO) programme.\n\nStudents from other specializations and programmes should have introductory level experience with GIS and Remote Sensing, have an affinity with Earth sciences, and have a good background knowledge of rocks and minerals."@en . . . "6"^^ . "2" . "1B" . . "2022-11-13T23:00:00Z"^^ . "This course focuses on the use of spectroscopic methods to obtain geological information related to, for example, minerals and rocks, mineralised and geothermal systems, soils and other natural materials. It is designed for students with a solid understanding of Earth Sciences who wish to use state-of-the-art spectroscopic methods to analyse the mineral content and texture of samples.\n\nThe course will cover the interaction of matter with electromagnetic radiation of different wavelength ranges (e.g. visible, near- & short-wave infrared, as well as long-wave infrared). The students will be involved in laboratory measurements with various imaging and non-imaging spectroscopic instruments, and compare and contrast the results with those from other mineralogical and geochemical analytical methods. \n\nThe course further contains a component on statistical data processing and (semi-) quantitative spectral modelling techniques derived from current research. These analytical techniques will lead to information on the mineralogy and mineral chemistry of samples, as well as Earth surface parameters. The students will experiment with, validate and compare multiple approaches, investigate their assumptions and limitations, and critically evaluate their suitability to solve Earth science problems."@en . "Spectral Geology"@en . . "Spectral Geology"@en . "Spectral Geology"@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 . . . "Specialisation" . "Applied Remote Sensing for Earth Sciences"@en .