. . . . "Evaluate the quality of processing results and judge its influence on image interpretation."@en . . . . "Analyse processing results for technical and semantic errors."@en . . . . "Criticize remote sensing methods in terms of suitability for a specific application."@en . . . . "Construct, adapt and troubleshoot scripts in an (online) processing platform."@en . . . . "Operate an online processing platform to compute useful Earth surface parameters."@en . . . . . . . . . . "Geophysical RS 2"@en . "Geological remote sensing for regional mapping: LU4"@en . . . . . "Geological RS 1"@en . "Geological remote sensing for regional mapping: LU1"@en . . . . . "Online processing platforms 2"@en . "Geological remote sensing for regional mapping: LU6"@en . . . . . "Project CBL style 2"@en . "Geological remote sensing for regional mapping: LU9"@en . . . . . "Geophysical RS 1"@en . "Geological remote sensing for regional mapping: LU3"@en . . . . . "Weather impact"@en . "Geological remote sensing for regional mapping: LU7"@en . . . . . "Project CBL style 1"@en . "Geological remote sensing for regional mapping: LU8"@en . . . . . "Project CBL style 3"@en . "Geological remote sensing for regional mapping: LU10"@en . . . . . "Online processing platforms 1"@en . "Geological remote sensing for regional mapping: LU5"@en . . . . . "Geological RS 2"@en . "Geological remote sensing for regional mapping: LU2"@en . . . . . . . . . . . . . . . . . "Geological Remote Sensing/Earth Resources Security"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "M-GEO 5.0"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Resources Security"@en . . . "Google Earth Engine"@en . . . "Course"@en . "33" . "5.0" . "140.0" . "10.0" . "Earth processes and Society (Q2)"@en . "No"@en . "No"@en . "4.0" . "3.0" . "[CONCEPT] Earth observation 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. This course is on processing remote sensing data from operational and historic missions in an online platform, with a specific emphasis on earth science applications. The application to Earth sciences will help you to recognize landforms in images, determine Earth's surface composition and derive various physical parameters from the Earth's surface."@en . "Geological remote sensing for regional mapping"@en . "Geological remote sensing for regional mapping"@en . "Geological remote sensing for regional mapping"@en .