A5111661009- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Advanced Proteomics Techniques and Applications
- Fluid Dynamics and Turbulent Flows
- Physics and Engineering Research Articles
- Environmental Policies and Emissions
- Mass Spectrometry Techniques and Applications
- Climate Change Policy and Economics
- Inertial Sensor and Navigation
- Wind and Air Flow Studies
- Computational Fluid Dynamics and Aerodynamics
- Metabolomics and Mass Spectrometry Studies
- Robotics and Automated Systems
- Soil Moisture and Remote Sensing
- Housing, Finance, and Neoliberalism
- Advanced Image Fusion Techniques
- Network Traffic and Congestion Control
- Peatlands and Wetlands Ecology
- Advanced Optical Imaging Technologies
- Advanced Optical Network Technologies
- Environmental Impact and Sustainability
- Urban Heat Island Mitigation
- Lattice Boltzmann Simulation Studies
ActionAid
2022-2025
Kiel University
2024-2025
Max Planck Institute of Colloids and Interfaces
2024
Karlsruhe Institute of Technology
1996-2019
Technische Universität Berlin
2010-2018
Berlin Mathematical School
2018
OSRAM (Germany)
2013
Centre for European Economic Research
1998-1999
Clinical motion analysis plays an important role in the diagnosis and treatment of mobility-limiting diseases. Within this assessment, relative (point-to-point) tracking extremities could benefit from increased accuracy. Given limitations current wearable sensor technology, supplementary spatial data such as distance estimates provide added value. Therefore, we propose a distributed magnetic system based on early-stage demonstrators novel magnetoelectric (ME) sensors. The consists two...
The exponential increase in proteomics data presents critical challenges for conventional processing workflows. These pipelines often consist of fragmented software packages, glued together using complex in-house scripts or error-prone manual workflows running on local hardware, which are costly to maintain and scale. MSAID Platform offers a fully automated, managed pipeline, consolidating formerly disjointed functions into unified, API-driven services that cover the entire process from raw...
The amount of images used in multitemporal classification studies has greatly increased along with enhanced temporal sensor capacities. Handling large intra-annual time series leads to the question how selection image acquisition dates could be optimized. In this study, an empirical approach for evaluating relative power single is introduced differentiation seminatural grassland vegetation. main many acquisitions from which phenological origins are preferable achieve a certain accuracy...
Abstract Proteomic workflows generate vastly complex peptide mixtures that are analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), creating thousands of spectra, most which chimeric and contain fragment ions from more than one peptide. Because differences in data acquisition strategies such as data-dependent (DDA), data-independent (DIA) or parallel reaction monitoring (PRM), separate software packages employing different analysis concepts used for identification...
The presented work evaluates the potential of a Sentinel-2 time-series to detect Pinus radiata (Monterey Pine) invasions in endemic Nothofagus (Southern Beeches) forests Maule region, central Chile. Suitable cloud free images phenological cycle were selected from six scenes available for years 2016. unmixed using non-negative least square (nnls) algorithm different landcover components per pixel. results validated with SVM classification UAV-based hyperspectral mosaics acquired March show...
Among the machine learning tools being used in recent years for environmental applications such as forestry, self-organizing maps (SOM) and k-nearest neighbor (kNN) algorithm have been successfully. We applied both methods mapping of organic carbon (Corg) riparian forests due to their considerably high storage capacity. Despite importance floodplains sequestration, a sufficient scientific foundation creating large-scale showing spatial Corg distribution is still missing. estimated test site...
The detection of different vegetation classes especially in the context biological diversity is one most frequently addressed topics remote sensing studies. With increasing availability multi-temporal information at high spatial resolution from Sensors such as RapidEye or future Sentinel-2, phenological variability can be exploited more detail. At same time, a larger number repeated field spectral measurements are available for comparison with classification image information. presented...
The problem of feature selection is a significant one in classification problems, where the addition too many features to fails lead increases accuracy. This especially within context multitemporal remote sensing classifications, costs and efforts associated with acquisition additional imagery can be extensive. It would thus beneficial identify most important seasons for acquiring specific land cover types. study uses phenologically-adjusted 21 date RapidEye time-series order evaluate two...
Abstract Laser‐induced forward transfer (LIFT) of polymers is a versatile printing method for parallel in situ synthesis peptides on microarrays. Chemical building blocks embedded polymer matrix are transferred and coupled desired pattern to surface, generating microarrays by repetitive solid‐phase steps. To date, the approach limited simple, heat induced chemical reactions. The VaporLIFT method, disclosed here, combines LIFT with vapor glycosylation rapidly generate glycans microarray...
Motion analysis is of great interest to a variety applications, such as virtual and augmented reality medical diagnostics. Hand movement tracking systems, in particular, are used human-machine interface. In most cases, these systems based on optical or acceleration/angular speed sensors. These technologies already well researched commercial systems. special it can be advantageous use magnetic sensors supplement an existing system even replace the The core motion localization unit. relatively...
The presented work is evaluating the temporal stability of STARFM generated time-series in an intensively agriculturally used area Central Germany. 10 Landsat 5 or 7 scenes from 2011 to generate a daily synthetically time-series, based on MODIS terra product (500 m). Similarly, 13 RapidEye were acquired. synthetic was correlated imagery class-wise basis for 12 crops that most frequently occur region. results vary strongly between Day Year and crop type. As conclusion it can be stated pairing...
With the introduction of LANDSAT 8 and future Sentinel missions as well several other national satellite programs, analysis multi-temporal remote sensing data will be main importance for detecting analyzing different landcover classes. The utilization MODIS/MERIS within last decade led to development a variety tools time-series Earth Observation data. potentially higher spatial resolution new generation sensors provides feasibility use these classify finer hierarchies land-cover This...
Dataset acquisition and curation are often the hardest most time-consuming parts of a machine learning endeavor. This is especially true for proteomics-based LC-IM-MS datasets, due to high-throughput data structure with high levels noise complexity between raw learning-ready formats. While predictive proteomics field on rise, when predicting peptide behavior in setups, each lab uses unique complex processing pipelines order maximize performance, at cost accessibility reproducibility. For...
Chile has a large number of endemic species due to its isolated location, which are increasingly endangered by variety invasive species. This development is further intensified high disturbance rates. In this study, we evaluate Sentinel-2 time-series one phenological cycle in 2016 and additional geo-information from TanDEM-X as well infrastructure soil data detect the spread Ulex europaeus onto agricultural areas with one-class classifier (MaxEnt) non-negative least square (nnls) unmixing...
Data fusion is currently one of the most frequently implemented approaches for dealing with inconsistent timesseries. However, to fuse multi-temporal satellite data higher spatial resolution analysis smaller landcover classes are still missing. Therefore, in this study ESTARFM algorithm was used high RapidEye images medium acquisitions from Landsat 5 TM. The main objective predict NDVI values heterogeneous semi-natural grassland year 2011. It can be shown, that it possible use predicting...
Today, public network providers perform usage-based charging of ATM services based on transmitted cells, allocated bandwidth, and connection time. Nevertheless, it is important being able to simplify the process by considering requested service category implied quality (QoS) that might be negotiated additionally. We present a framework its application representative which following aspects. First, we differentiate five categories: constant bit rate (CBR), real-time variable (rt-VBR),...