Having passed this module students are familiar with basic principles of remote sensing and its application. They know a collection of relevant electromagnetic and optical sensors with emphasis on imaging instruments. Students are aware of problems related to image quality influenced by sensor performance and environmental conditions, image analysis and interpretation. In practical exercises students perform the major steps of the whole processing chain from sensor via various correction algorithms to final remote sensing product for the end user.    




NO CLASS SS 2020

CI_W.02 Remote Sensing and Non-Invasive Methods, WS2022/23

CI_W.02 Remote Sensing and Non-Invasive Methods, WS2021/22

CI_W.02 Remote Sensing and Non-Invasive Methods, WS2020/21

Appointment s2.pdfAppointment s2.pdf


CI_W.02 Remote Sensing and Non-Invasive Methods, SS2019


CI_W.02 Remote Sensing and Non-Invasive Methods, SS2018

Learning Outcomes

Having passed this module students are familiar with basic principles of remote sensing and its application. They know a collection of relevant electromagnetic and optical sensors with emphasis on imaging instruments. The students are aware of problems related to image quality influenced by sensor performance and environmental conditions, image analysis and interpretation. 

CI_W.02 Remote Sensing and Non-Invasive Methods, SS2017

Learning Outcomes

Having passed this module students are familiar with basic principles of remote sensing and its application. They know a collection of relevant electromagnetic and optical sensors with emphasis on imaging instruments. The students are aware of problems related to image quality influenced by sensor performance and environmental conditions, image analysis and interpretation. 

CI_W.02 Remote Sensing and Non-Invasive Methods, SS2016

Learning Outcomes

Having passed this module students are familiar with basic principles of remote sensing and its application. They know a collection of relevant electromagnetic and optical sensors with emphasis on imaging instruments. The students are aware of problems related to image quality influenced by sensor performance and environmental conditions, image analysis and interpretation.