Hyperspectral Measurements For Rock Identification

Abstract

Summary Remote sensing investigations and applications in Earth observation /EO/ begins with the design and development of equipment for performing research of the monitored objects remotely and without disturbing their integrity.Ground-truth data in EO of the environment and in the remote sensing are very important. In present paper satellite remote sensing images are used for supporting mineral exploration and mapping geology and for recognizing rocks by their spectral signatures. We are used Landsat and Sentinel satellites images for detecting rocks in the studied area of Sredna Gora Mountain. For data verification hyperspectral systems in visible and infrared spectral regions are applied for laboratory and field spectrometric measurements. They provide spectral data to define finest spectral characteristics of rocks for their identification. The obtained spectral data are compared with similar data from different instruments for EO included in the spectral libraries (USGS and JPL) for data verification. The shape of the spectral signature based on the acquired spectral data in the same spectral range corresponds to the data obtained with other spectrometers. These promising results encourage us to plan the next campaigns for collecting mineral and rock samples for the laboratory and for the field spectrometric measurements in different regions of Bulgaria.