DLR-DAAD Doctoral Fellowship Nr. 620: Master Photogrammetry, Computer Science or similar (f/m/x) - DLR-DAAD Doctoral Fellowship: Fusion of full-waveform LIDAR and photogrammetry 3D point cloud for tree canopy parameters retrieval

Location

Weßling | Germany

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Scientific activities / projects

Fusion of full-waveform LIDAR and photogrammetry 3D point cloud for tree canopy parameters retrieval

Fusion of full-waveform LIDAR and photogrammetry 3D point cloud for tree canopy parameters retrieval

Starting date

February 2024

Leaf Area Index (LAI) and Leaf Area Distribution (LAD) are among the key indicators of the status of tree vitality and forest ecosystems. The extraction of these features is important for the understanding of global carbon and water cycles as well as for impacts on climate change. Under the topic of 3D tree canopy modeling, 3D point clouds from full-waveform LIDAR and stereo cameras shall be improved in different aspects.

In order to get better 3D model representations of tree crowns, both types of point clouds shall be matched and combined. Afterwards, the LAI and LAD as well as other important parameters of each tree crown shall be extracted with advanced deep learning-based approaches. To solve the problem of efficient training data, synthetic data shall be involved. To achieve this, a domain adaptation approach to link the real and synthetic data is expected. This topic is part of a Helmholtz AI project. The PhD candidate will have the chance to cooperate with another Helmholtz institute and two universities in Germany.

Please apply here:  DLR-DAAD Research Fellowship Programme - DAAD - Deutscher Akademischer Austauschdienst

Further information and current vacancies:  DLR Current offers - DAAD

• Master in remote sensing, Photogrammetry, Computer Science or in a
• similar field
• good background in image processing and computer vision techniques
• programming skills in Python are required
• experiences in processing of high resolution optical images and 3D point clouds are of advantage
• open communication and team spirit are furthermore expected
• he/she should be able to work in a team at the Remote Sensing Technology Institute of DLR as well as self-reliant and to present results at international conferences
• high programming skills and knowledge in machine learning and 3D point cloud processing techniques is of advantage

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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