external, but a lecturer of the EAGLE study program as point of contact
Experience in an internship at a research institute, a NGO, IGO or company the real-life application of Earth Observation for specific tasks are highly important to increase your remote sensing skills. In addition, developing, preparing and organizing internships and the tasks independently is important for later tasks.
The internship can cover a variety of topics depending on the host institution. Applications of remote sensing data in (among others) land and water management, conservation, exploration, energy provision, administration, or policy should be learned. Its daily usage and challenges should be explored, as well as the processing, or specialised application of remote sensing products and the related challenges. Internships need to be organized by the students, but a lecturer will supervise the internship. The lecturer will provide access to his/her network in order to ease the application process and the learning outcome.
After the internship, the internships aims and outcome will be presented to fellow students and the lecturers. The background of the hosting institution as well as the aim of their internship, their work during the internship as well as the outcome ought to be covered. Moreover, the students are encouraged to provide insights into the respective internship in order to help fellow students to gain a better understanding of the hosting organization and to support them in finding a suitable internship.
The work during the internship as well as the outcome should be covered by this presentation. Moreover the students are encouraged to provide valuable insights into the respective internship in order to help fellow students to gain a better understanding of the hosting organization and to support them in finding a suitable internship.
For internships the students are encouraged to take advantage of the global EAGLE network to apply for internship. It should be noted that the partners are not obliged to accept you as intern. The costs are also not necessarily covered by the partners.
One internship for 2 months is mandatory, doing more internships is possible.
Coding examples and individual work will be covered
Various software programs will be used, but mainly OpenSource software such as R.
Different techniques will be introduced and practically applied.
The content of scientific with regard to the audience will be discussed.
General Course News and Updates
The first field methods course in our EAGLE MSc programme took place in the JECAM test site of DEMMIN-Germany (close to the city of Demmin in Mecklenburg-Vorpommerania) from 12.- 17.6.2017. Six EAGLE students, one colleagues of DLR, Dr. Erik Borg, and two lecturers,...read more
The course on UAV application for Remote Sensing started successfully. The weather was good enough to do some first flights. In the next weeks and months more flights will be undertaken and data collected for different fields sites in order to gain more information...read more
The new term started with the course “Object-oriented image analysis”. It is a hands-on seminar covering eCognition by Dr. Michael Thiel and Dr. Christian Geiss. Christian is an invited guest lecturer from DLR’s Remote Sensing Data Center (Department: Geo-Risks and...read more
one of our field sites in the Steigerwald For several upcoming EAGLE courses we visited potential field sites and tested our equipment. During this first field work of the year our UAV and D-GPS data collection were tested in the Steigerwald at the research station of...read more
Our EAGLE 2016 students visited the DLR-EOC last Friday and got a very good overview of the work done by the scientists at DLR. Many different topics were covered and nearly all applications of applied earth observation research done at DLR-EOC were presented. ...read more
On Monday 17th of October we welcomed our new EAGLE students. The EAGLEs in 2016 are from Afghanistan, Bangladesh, Columbia, Egypt, India, Iran, Pakistan, Sweden and Germany. After the official welcome by all lecturer and the study program coordinator Christopher Conrad and the head of the remote sensing department and director of the DLR-DFD, Stefan Dech,read more
The course on remote sensing for biodiversity analysis covered 10 days of field work, R coding, testing field methods such as UAVs and lots of hiking in the National Park Bavarian Forest. This year we had sunny and rainy weather and on the peaks also snow which made...read more
Analyzing species-environment interaction is feasible using various data and method. An increasing technology is the tracking of animals and especially its linkage to remote sensing, as covered in AniMove.org. However, with this technology new challenges have to be...read more
This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed....read more
The data provided by aerial imagery are amongst the oldest sources of spatially explicit information for modern-time environmental management. These data are often captured over landscape-level domains using overlapping flight stripes to enable stereo photogrammetric...read more