The following dedicated research activities were carried out:
- Improvement of tectonic models using structural enhancement and interpretation methods.
- Spatial depth analysis of geophysical data to obtain new information on potential fertile lithologic units in a 500-1000m depth range.
- Delineation of geobotanical anomalies from GERIS hyperspectral data in combination with field spectrometry.
- Feasibility of ATM and TM data for the delineating of ancient mining dumps.
- Prediction of anthropogeneous and natural spatial patterns of multi-element analysis (geochemistry).
- Restoration and substitution of incomplete and inhomogeneous geochemical and multi-element data (stream sediments).
- New concepts for multitemporal analysis of multispectral data.
- Semi-quantitative mapping of air quality (smog density) using Landsat TM data from winter season of typical inversion situation in mining areas (North Bohemian zone).
- Identification of the relationship between severe forest damages and the occurrence of mining and industry-induced air pollution.
- Mapping of pollution-induced forest loss from multitemporal MSS and TM data.
- Improvement of mapping accuracy of different landcover classes related to mining (dumps, polluted soils, reclamated and re-contaminated mining areas, etc.) by the application of advanced image processing and classification techniques on microwave and spectral data.
- Verification and calibration of ATM and TM data with laboratory analysis of soil samples and of chlorophyll content and multi-elements of leaves.
- Feasibility of hyper- and multispectral data and field spectrometry for the analysis of monitoring of open mines.
- Use of satellite radar image data for the mapping of mining features and evaluation of their potential for interpretation of geologic structures.
- Improvement of pre-processing techniques for airborne scanner data.
The research proposed is directed at improving exploration techniques and environmental surveillance of mining operations. New airborne and spaceborne sensors (ERS, Almaz, GER) and new analytical tools (ICM, ACE-MAF, ANN) will be employed to reach improved results in the detection of deep-seated and hidden mineral deposits in four testsites.
A similar but modified technology can be also applied to investigate environmental impacts of mining and ore processing operations. In this case remote sensing data play an important and prominent role through their revisit capabilities and multispectral coverage. Three of the four testsites (the Pyrite belt and Central-iberian zone in Spain, the Erzgebirge/North Bohemian domain in Germany and CSFR) have a long mining history and thus provide an excellent background for the research dedicated to the impacts on landuse, natural vegetation, soils, water and settlements.
The major research tasks are:
- Development of a spatial exploration and environmental data base for the Erzgebirge testsite.
- Integrated analysis strategies for the data bases of all testsites.
- Development of depth modelling from airborne geophysical data.
- Development of new processing strategies for exploration and environmental monitoring based on new airborne and spaceborne sensors.
- Optimization of textural and spectral classification by artificial neural nets (ANN).
The execution of the research programme and the implementation of these techniques will considerably improve the definition of target areas in exploration and the incorporation of environmental data in any exploration measure.
Funding SchemeCSC - Cost-sharing contracts
13400 Almaden (C. Real)