Multispectral Multisensor Remote Sensing
Analysis of space- and airborne multispectral- and multisensor data contribute significantly to the understanding of the earth surface and its dynamic processes. The applications range from geology, natural resources, soil, groundwater, geohazard assessment and earthquakes. The applications are developed in research projects and are used in national and international cooperations.
Current projects
Multispectral/ multisensor remote sensing focuses on:
- mapping of geology, lithology, mineralogy and tectonics
- exploration of new natural resources
- sustainable and environmentally friendly use of natural resources
- monitoring of abundant mining sites
- registration of regional topography and earth´s surface features, e.g. soil and vegetation, as well as
- surface changes due to geological-related subsurface processes.
Remote sensing data are processed and investigated by professional software and algorithms as well as by in-house developed methods for application oriented results.
Applications are for example geological-, hydrogeological-, geological environmental-, soil- and land use mapping, investigation of geohazards and exploration of natural resources.
Open data (e.g. Landsat, Sentinel, ASTER…) as well as commercial data (e.g. SPOT, RapidEye, World View, TerraSAR-X, …) are applied.
Data processing on the one hand is based on standard methods e.g. image enhancement, filtering, classification, geocoding, GIS-analysis and map production. Furthermore, special methods are applied for the processing and interpretation of radar and hyperspectral data, as for example radar interferometry, spectral unmixing and multifeature extraction. For certain questions digital terrain models (DTM) are derived from remote sensing data e.g. SAR- and LiDAR data.