Assessment of Mining Related Impacts Based on Utilization of (ARES) Airborne Hyperspectral Sensor

Grant No. 205/09/1989 Czech Science Foundation

Primary investigator

Mgr. Veronika Kopačková, Czech Geological Survey, e-mail:


doc. RNDr. Jana Albrechtová, Ph.D., Department of Plant Physiology, Faculty of Science, Charles University in Prague, e-mail:

Ing. Jan Hanuš, Laboratory of Plants Ecological Physiology Institute of System Biology and Ecology AS CR v.v.i., e-mail:

Dr. Stéphane Chevrel, French Geological Survey BRGM, e-mail:

Prof. Dr. Cornelia Glaesser, Institute of Geoscience Department of Remote Sensing and Cartography, Martin Luther University Halle-Wittenberg, e-mail:

About the project

Monitoring and assessment of the mining impacts relying on conventional field measurements alone is a time consuming and expensive process. Mineral spectroradiometry, both from airborne or spaceborne sensors and ground measurements, represents an alternative to conventional methods and efficient way how to create full-area mineral abundance maps. The mining impacts include a wide range of diverse processes such as generating acid tailings, immobility of metal contaminants, airborne pollution caused by smelting activities, and so on, that lead to degradation of habitats, vegetation disturbance and soil erosion. Even thought the Earth Observation techniques have been considered to be very efficient, and strong emphasis has been put on enhancing and developing new methodologies, they have not been yet applied at a large scale in the Czech Republic.

The processes at the mining site can be studied using hyperspectral data due to the discernable narrow absorption phenomena, the high spatial resolution and narrow bandwidth. In that way Hyperspectral data allow identification and mapping of mineral endmembers and resolution of intimate mineral mixtures in the target area. The aim of the proposed project is to develop new methods for interdisciplinary assessment of mining impacts utilizing aerial hyperspectral data. New airborne hyperspectral data will be acquired and used for characterization of the absorption features, spatial feature mapping, comparison with ground truth (spectral library) and detailed multidisciplinary data analysis. The Sokolov lignite basin is to be a test site as it represents a territory affected by long-term and intensive mining activity.