. . . "criticize remote sensing approaches in terms of suitability for a specific application."@en . . "criticize remote sensing approaches in terms of suitability for a specific application."@en . . . "understand the principles of a higher level programming language and apply these to scripting."@en . . "understand the principles of a higher level programming language and apply these to scripting."@en . . . "adapt basic programming skills to construct scripts in an (online) processing platform."@en . . "adapt basic programming skills to construct scripts in an (online) processing platform."@en . . . "operate an online processing platform to compute useful Earth surface parameters."@en . . "operate an online processing platform to compute useful Earth surface parameters."@en . . . "evaluate the quality of processing results and judge their suitability for further interpretation."@en . . "evaluate the quality of processing results and judge their suitability for further interpretation."@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 . . . "ArcGIS"@en . . . "Erdas"@en . . . "QGIS"@en . . . "Course"@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 Proce