. . "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 . . . "Learning outcome"@en . . "Evaluate the results of the desk study, the field campaign and laboratory analyses and explain the observed relationships between the remote sensing and field data, considering sensor type, scale, physiography and other factors."@en . "Evaluate the results of the desk study, the field campaign and laboratory analyses and explain the observed relationships between the remote sensing and field data, considering sensor type, scale, physiography and other factors."