Klassifizierung im Stadtgebiet
basierend auf hochauflösenden
Multispektral- und Höhendaten
Bild: DLR (RM-OS)
This study group deals with the visualization and evaluation of generated data products. Interpretation, method development and continuing analyses in geosystems information form the final step of the hierarchical process chain of the department of sensors and applications. Our core competence lies in the development of applications based on multi-sensorial and multi-temporal data in different resolutions.
Many applications from the areas of geographic information, cartography and measuring can be already realized with the end products from 3D processing. In addition the high quality and position accuracy of digital surface models and ortho mosaics offer multiple possibilities for the partial- automated and automatized information retrieval and object extraction. Automatized analysis and evaluation is ensued with the aid of classification methods and in the field of geographic information systems – including 2D and 3D extractions.
Grid operators are e.g. environmental monitoring and vegetation mapping (the capture of ecological magnitudes.
Thematic main focus
Methodical main focus
Currently running Doctoral theses
Corinna Brüsshaber MSc (G IS)
Modern ways in city monitoring: Application of multitemporaler airborne-supported remote sensing data for the derivation of surface and cultivation change – joint development with the Berlin Stadtspree. (Berlin HU Berlin DLR)
Diploma engineer (FH) Anna Maria Trosset
Optimization of the methods to capture independent scales of roof geometry for city and town structure masses based on satellites and digital airborne data. (Berlin FU Berlin DLR)