Hyperspectral Remote Sensing Applications in Mining Impact Analysis.

* Corresponding author. Abstract – Earth Observation (EO) data in combination with environmental data enables the extraction of important information for environmental management. There is a strong need in standardized and quality controlled data sets and reliable data analysis routines. Recent developments and established work flows at German Aerospace Center (DLR) include standardized pre-processing routines for geometric and atmospheric correction as well as deduced quality information parameter for different optical airborne and space borne sensor systems. A comparison of various scene-optimized pre-processing options to the standardized procedure shows little benefits, contrary it worsens the results when efforts for high quality reference data are not undertaken. The effect of low quality topographic data in illumination correction is shown. Based on a comprehensive hyperspectral data set an environmental assessment of acid mine drainage related pollution sources, pathways and pollution receptors is aspired. An overview of first analyses steps and current activities to resolve encountered problems is given.