- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Planetary Science and Exploration
- Plant Water Relations and Carbon Dynamics
- Astro and Planetary Science
- Leaf Properties and Growth Measurement
- Nanofabrication and Lithography Techniques
- Advanced Optical Sensing Technologies
- Forest ecology and management
- Advanced Surface Polishing Techniques
- Advancements in Photolithography Techniques
- Semiconductor materials and devices
- Remote Sensing and Land Use
- Immunotherapy and Immune Responses
- Plasma Diagnostics and Applications
- Surface Modification and Superhydrophobicity
- Soil Moisture and Remote Sensing
- Stellar, planetary, and galactic studies
- Semiconductor Lasers and Optical Devices
- Urban Heat Island Mitigation
- Optical measurement and interference techniques
- Copper Interconnects and Reliability
- Soil Geostatistics and Mapping
- Land Use and Ecosystem Services
TU Dresden
2013-2024
University of Pretoria
2016
Helmholtz Zentrum München
2014
Ludwig-Maximilians-Universität München
2010-2012
University of Naples Federico II
2007-2010
BOKU University
2008
Microfab Technologies (United States)
2002
Max Planck Institute for Astronomy
1991-2000
Technicolor (United States)
1996
Max Planck Institute for Solar System Research
1991
Evaluation is an essential step of model development. However, there a missing definition appropriate validation strategies, needed to guarantee reproducibility and generalizability modeling results. Also, lack generally agreed set 'optimal' statistical measure(s) assess accuracy. The objective the present study provide for remote sensing practitioners (i.e., non-statisticians) guidance strategies propose optimal measures quantitative assessment performance in context vegetation biophysical...
Abstract Background Immunotherapies might represent promising alternatives for the treatment of patients with hormone‐refractory prostate cancer (HRPC). In a Phase I clinical trial, we evaluated vaccination dendritic cells (DCs) loaded cocktail consisting HLA‐A*0201‐restricted peptides derived from five different cancer‐associated antigens [prostate‐specific antigen (PSA), prostate‐specific membrane (PSMA), survivin, prostein, transient receptor potential p8 (trp‐p8)]. METHODS Eight HRPC...
The present work aimed at testing the potential of upcoming Earth Observation satellite Sentinel-2 (European Global Monitoring for Environment and Security (GMES) programme) operational estimation leaf area index (LAI) two contrasting agricultural crops (sugar beet maize). Mapping LAI was achieved using a look-up table (LUT) based inversion physically radiative transfer model (SAILH + PROSPECT). In addition to spectral sampling, another band set described as “ideal” vegetation studies has...
The continuously increasing demand of accurate quantitative high quality information on land surface properties will be faced by a new generation environmental Earth observation (EO) missions. One current example, associated with potential to contribute those demands, is the multi-spectral ESA Sentinel-2 (S2) system. present study focuses evaluation spectral content needed for crop leaf area index (LAI) mapping in view future sensors. Data from field campaign were used determine optimal...
The present study aimed at testing the potential of future E.O. mission Sentinel-2 (European GMES programme) for operational estimation Leaf Area Index (LAI) three contrasting agricultural crops (wheat, sugar beet, and maize). Retrieval LAI was achieved by using a look-up table (LUT) based inversion radiative transfer model (SAILH+PROSPECT). Analyses were mainly carried out hyperspectral data acquired optical airborne instrument CASI, simulating band setting. Estimated evaluated measurements...
This letter presents two kernel-based methods for semisupervised regression. The rely on building a graph or hypergraph Laplacian with both the available labeled and unlabeled data, which is further used to deform training kernel matrix. deformed then support vector regression (SVR). Given high computational burden involved, we present alternative formulations based Nystrom method incomplete Cholesky factorization achieve operational processing times. SVR algorithms are successfully tested...
Vegetation indices (VI) combine mathematically a few selected spectral bands to minimize undesired effects of soil background, illumination conditions and atmospheric perturbations. In this way, the relation vegetation biophysical variables is enhanced. Albeit numerous experiments found close relationships between several important variables, well known shortcomings drawbacks remain. Important limitations VIs are illustrated discussed in paper. As most can be overcome using physically-based...
Abstract. The increasing scarcity of water from local to global scales requires the efficient monitoring this valuable resource, especially in context a sustainable management irrigated agriculture. In study, two-source energy balance model (TSEB) was applied Barrax test site. inputs leaf area index (LAI) and fractional vegetation cover (fCover) were estimated CHRIS imagery by using traditional scaled NDVI look-up table (LUT) inversion approach. LUT constructed well established SAILH +...
The capability of models to predict vegetation biophysical variables is usually evaluated by means one or several goodness-of-fit measures, ranging from absolute error indices (e.g. the root mean square error, RMSE) over correlation based measures coefficient determination, R<sup>2</sup>) a group dimensionless evaluation relative RMSE). Hence, greatest difficulty for readers lack comparability between different models' accuracies. Therefore, objective our study was provide an overview about...
In order to focus light or x rays, the thickness of a refractive lens is typically varied over its aperture. Here, we present x-ray made lamellae constant thickness, lamellar lens. Refractive power created by specific bending rather than concave profile. This very special design has technological advantage that materials like sapphire diamond can be used make lenses coating techniques. A first prototype focused rays with photon energy E = 15.25 keV lateral beam size 164 nm × 296 full width...
Abstract. Full-waveform airborne laser scanning offers a great potential for various forestry applications. Especially applications requiring information on the vertical structure of lower canopy parts benefit from amount contained in waveform data. To enable derivation forest structure, development suitable voxel based data analysis methods is straightforward. Beyond extracting additional 3D points, it very promising to derive attributes digitized directly. For this purpose, differential...
In many aerial and close-range photogrammetry applications, the near infrared (NIR) spectral range is required in addition to visible (VIS) range. Currently, especially photogrammetric systems use particularly optimized camera for each band. Using separate cameras or lenses can introduce parallaxes timedelays between acquired images, thus complicate data fusion process. Furthermore, it adds additional weight entire system. With an image acquisition through a single objective, complexity of...
Abstract Airborne LiDAR bathymetry is an efficient measurement method for area-wide acquisition of water bottom topography in shallow areas. However, the has a limited penetration depth into bodies due to turbidity. This affects accuracy and reliability determination points waters with high turbidity or larger depths. Furthermore, coverage also limited. In this contribution, advanced processing methods are presented goal increasing evaluable depth, resulting improved by points. The...