Aim
Within this course object-oriented image analysis is introduced using different very high to high remote sensing data. Different approaches and techniques will be covered to allow students to apply this method in applied science.
Content
Theoretical basics of object-oriented methods are covered and discussed concerning their disadvantages and advantages for applied landscape analysis. Practical exercises are covering first segmentation steps to ready classified images. Various examples and technical settings are explored to outline the challenges and potential of object-oriented image analysis. Final outcome will be an individual project working on different set of images and methods.
Coding
Software
Techniques
Content
General Course News and Updates
Inno lab and internship presentations
On Friday, 8th of July, at 9:30 we will have the following presentations: Jana Maier (InnoLab at DLR): Multitemporal SAR Analysis for Sentinel-1 metrics based Land Cover Classification in West Africa - InnoLab in Agroecosystems and Phenology at DLR. Nora Nieskens...
MSc defense by Antonio Castaneda
On Friday, 1st of July at 9am Antonio will present his M.Sc. thesis "Potential and limits of using UAS in forest monitoring". From the abstract: "The exponential development, usage, and application of uncrewed area systems (UAS) have given remote scientists a clear...
internship, inno lab and MSc idea presentation
On Monday, 30th of May, from 10am onwards, we will have the following presentations: Ása Dögg (Inno-lab): "Potential of Sentinel-1 data for research and monitoring in Tröllaskagi peninsula, Iceland - Snow cover mapping using S-1 time series."Supervisors: Tobias...
Internship and Inno Lab presentations
On Friday 20th of May at 9am we will have the following internship and inno lab presentations: Andrea Cardenas (Internship at DLR): “Data analysis of the refugee crisis in West Africa and definition of test sites in NRW – Germany”supervisor: Martin Muehlbauer Ása Dögg...
EAGLE application in 2022
We received again more than 200 applicants from all over the world. In total applicants from 42 different countries applied to our international Earth Observation M.Sc. program, covering countries such as Hungary, Morocco, Malaysia, Kenya, Nepal or Columbia. We are...
EAGLE application deadline 2022
Our application deadline for 2022 is approaching. If you want to study applied Earth Observation and learn about a variety of remote sensing sensors and methods as well as about fields of applications, submit your application at the latest on May 15th. Accepted...
MSc defense by Haiyin Ye
On Friday 20th of May at 9am Haiyin will present her M.Sc. thesis "Monitoring Gypsy Moth Outbreak Using Sentinel-1 and Sentinel-2 Data". From the abstract: "Gypsy moth Lymantria dispar (L.) is a serious pest in deciduous forests, the larvae of which can feed on a...
inno lab and MSc defense Jakob Wachter
this Friday, 22nd of April, at 9am we will have one inno lab and one M.Sc. defense, both by Jakob Wachter. inno lab: "Assessment of climate-induced drought impact on crop types in bavaria" (Tobias Ullmann) M.Sc. defense: "Potential of webcam Imagery as reference data...
Inno lab and MSc idea presentation
On Friday 8th of April from 9am onwards we will have the following EAGLE presentations: "Assessment of open-source street-level imagery for building classification in Lima, Peru" by Larissa Gorzawski (Inno lab supervised by Hannes Taubenböck and Christian Geiß)...
MSc idea and inno lab presentations
On Friday 11th of March from 10am onwards the following students will introduce their MSc idea or report on their innovation laboratory: Kemeng Liu (MSc idea): "Mapping Spatial-Temporal Developments of Coastal Aquaculture" supervised by Tobias Ullmann Antonio...