A5090142524- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Mineral Processing and Grinding
- Calibration and Measurement Techniques
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- GNSS positioning and interference
- Infrared Target Detection Methodologies
- Land Use and Ecosystem Services
- Atmospheric Ozone and Climate
- Flood Risk Assessment and Management
- Soil and Land Suitability Analysis
- Historical Geography and Cartography
- Environmental and Social Impact Assessments
- Automated Road and Building Extraction
- Geophysics and Gravity Measurements
- Atmospheric and Environmental Gas Dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Image and Signal Denoising Methods
- Color Science and Applications
- Tailings Management and Properties
Helmholtz Centre for Environmental Research
2020-2022
GFZ Helmholtz Centre for Geosciences
2011-2021
Oxford Archaeology
2016
University of Oxford
2016
University of Potsdam
2014
Brandenburg University of Technology Cottbus-Senftenberg
2008
Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through spectrally-resolved measurements light interacting with matter. The potential imaging spectroscopy for sensing has been demonstrated since 1980s. However, most developments applications in have largely relied airborne spectrometers, amount quality space-based data remain relatively low to date. upcoming Environmental Mapping Analysis Program...
We review the ecological and socio-economic impacts of catastrophic dam failure in Mariana, Brazil. Tailing management practices by Samarco mining company ultimately caused a breach that abruptly discharged between 55 62 million m3 tailings into Doce River watershed. On November 5th, 2015, tsunami slurry engulfed small district Bento Rodrigues, loading its estuary with toxic along 663.2 km trajectory, extending to Atlantic coast. Acute will adversely affect livelihoods more than 1 people 41...
The status, changes, and disturbances in geomorphological regimes can be regarded as controlling regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, global scales is not only necessary to conserve geodiversity, but also preserve biodiversity, well improve biodiversity conservation ecosystem management. Numerous remote sensing (RS) approaches platforms have been used the past enable a cost-effective, increasingly freely available, comprehensive,...
The design of future Earth imaging systems, the optimization fundamental instrument parameters, and development evaluation data pre-processing scientific-exploitation algorithms require an accurate end-to-end simulation entire image generation processing chain. For this purpose, software EeteS has been developed within framework Environmental Mapping Analysis Program (EnMAP) mission. This paper presents approach implementation focusing on calibration pre-processing. sequential chain EnMAP...
Remote sensing analysis is a crucial tool for monitoring the extent of mine waste surfaces and their mineralogy in countries with long mining history, such as South Africa, where gold platinum have been produced over 90 years. These sites potential to contain problematic trace element species (e.g., U, Pb, Cr). In our research, we aim combine mapping capacities multispectral hyperspectral spaceborne sensors. This done assess existing sensors (OLI Hyperion) future missions, Sentinel-2 EnMAP...
In this study, an in situ application for identifying neodymium (Nd) enriched surface materials that uses multitemporal hyperspectral images is presented (HySpex sensor). Because of the narrow shape and shallow absorption depth feature, a method was developed enhancing extracting necessary information from image spectra, even under illumination conditions are not optimal. For purpose, two following approaches were developed: (1) reducing noise analyzing changing by averaging scenes (2)...
In the face of rapid global change it is imperative to preserve geodiversity for overall conservation biodiversity. Geodiversity important understanding complex biogeochemical and physical processes directly indirectly linked biodiversity on all scales ecosystem organization. Despite great importance geodiversity, there a lack suitable monitoring methods. Compared conventional in-situ techniques, remote sensing (RS) techniques provide pathway towards cost-effective, increasingly more...
In the upcoming years, many new remote sensing sensors will start operating in space. Sentinel-2 is certainly one of most outstanding systems that deliver a flood detailed and continuous data from Earth's surface during next years. However, heterogeneity recorded using different demands prelaunch activities to develop synergies for efficient multisensor analysis. this context, accurate sensor simulations are valuable tool enables meaningful intersensor comparison. This paper addresses...
Algorithms for a rapid analysis of hyperspectral data are becoming more and important with planned next generation spaceborne missions such as the Environmental Mapping Analysis Program (EnMAP) Japanese Hyperspectral Imager Suite (HISUI), together an ever growing pool airborne data. The here presented EnGeoMAP 2.0 algorithm is automated system material characterization from imaging spectroscopy data, which builds on theoretical framework Tetracorder MICA (Material Identification...
Hyperspectral images are of increasing importance in remote sensing applications. Imaging spectrometers provide semi-continuous spectra that can be used for physics based surface cover material identification and quantification. Preceding radiometric calibrations serve as a basis the transformation measured signals into units such radiance. Pushbroom sensors collect incident radiation by at least one detector array utilizing photoelectric effect. Temporal variations characteristics differ...
Abstract In times of rapid global change, ecosystem monitoring is utmost importance. Combined field and remote sensing data enable large‐scale assessments, while maintaining local relevance accuracy. heterogeneous landscapes, however, the integration field‐collected with image pixels not a trivial matter. Indeed, much uncertainty in models that use to map larger areas lies on integration. this study, we propose fine spatial resolution (5 × 5 m 2 ) as auxiliary for upscaling field‐sampled...
The characterization of vegetation is a very important ecological task, especially in sensitive mountain areas, as alpine regions often respond to small short-term variations abiotic and biotic components well long-term global changes. Spatial techniques, such imaging spectroscopy, allow for detailed classification different syntaxonomic categories their status. Based on the Airborne Prism Experiment (APEX) simulated Environmental Mapping Analysis Program (EnMAP) data, this study focused...
Synergistic applications based on integrated hyperspectral and lidar data are receiving a growing interest from the remote-sensing community. A prerequisite for optimum sensor fusion of is an accurate geometric coalignment. The simple unadjusted integration elevation reflectance causes substantial loss information does not exploit full potential both sensors. This paper presents novel approach coalignment airborne data, their respective adopted return intensity information. complete...
Systematic quantification and monitoring of forest biophysical biochemical variables is required to assess the response ecosystems climate change gain a deeper understanding carbon cycle. Red-Edge Position (REP) hyperspectrally detectable parameter, which sensitive Chlorophyll (Chl) content. In current study, REP was modelled for Norway spruce Forest canopy Reflectance Transmittance (FRT) using Radiative Transfer Modelling (RTM) (resampled HyMap Sentinel-2 spectral resolution) as well...
The analysis of hyperspectral images is an important task in Remote Sensing. Foregoing radiometric calibration results the assignment incident electromagnetic radiation to digital numbers and reduces striping caused by slightly different responses pixel detectors. However, due uncertainties some remains. This publication presents a new reduction framework that efficiently linear nonlinear miscalibrations image-driven, recalibration rescaling. proposed framework—Reduction Of Miscalibration...
The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="TeX">${\bf 933}~\hbox{\bf km}^{\bf 2}$</tex-math></inline-formula> Benguê catchment in northeastern Brazil is characterized by distinct rainy and dry seasons. Precipitation stored variously sized reservoirs, which essential for the local population. In this study, we used TerraSAR-X SM (HH) data an one-year monitoring of seasonal changes reservoir areas from July...
Proximal sensing as the near field counterpart of remote offers a broad variety applications. Imaging spectroscopy in general and translational laboratory imaging particular can be utilized for different research topics. Geoscientific applications require precise pre-processing hyperspectral data cubes to retrieve at-surface reflectance order conduct spectral feature-based comparison unknown sample spectra known library spectra. A new chain called GeoMAP-Trans retrieval is proposed here an...
Modern imaging spectrometers produce an ever-growing amount of data, which increases the need for automated analysis techniques. The algorithms employed, such as United States Geological Survey (USGS) Tetracorder and Mineral Identification Characterization Algorithm (MICA), use a standardized spectral library expert knowledge detection surface cover types. Correct absorption feature definition isolation are key to successful material identification using these algorithms. Here, new continuum...
ABSTRACT This study investigates the usage of HyMAP airborne hyperspectral and Sentinel-2, ASTER Landsat-8 OLI spaceborne multispectral data for detailed mapping mineral resources in Arctic. The EnMAP Geological Mapper (EnGeoMAP) Iterative Spectral Mixture Analysis (ISMA) approaches are tested mafic-ultramafic rocks areas covered by abundant lichen. Using Structural Similarity Index Measure (SSIM), output classification results from quantitatively compared to available geological map...
The integration of imaging spectroscopy and aeromagnetics provides a cost-effective promising way to extend the initial analysis mineral deposit. While retrieves surface spectral information, magnetic responses are used determine magnetization at both shallower greater depths using 2D 3D modeling. Integration magnetics improves upon knowledge concerning lithology with properties, enhances understanding geological origin anomalies, is approach for analyzing prospective area minerals having...
Abstract. Imaging spectroscopy is increasingly used for surface mapping. Therefore different expert systems are being utilized to identify cover materials. Those mainly rely on the spectral comparison between unknown and library spectra, but their performances were only limited qualified. This study aims comparative analysis of drill core samples from recently discovered maar system in Czech Republic. Drill surrounding area Mýtina analyzed by X-Ray diffraction (XRD) hyperspectral...