Remote sensing analysis for geomorphological, structural and lithologic mapping

We provide tailored services and information products for geomorphological, structural and lithologic investigations, using optical and radar remote sensing data, from satellite and airborne (manned and unmanned) platforms.

We use radar and optical panchromatic, multispectral/hyperspectral, and thermal sensor data from various platforms to classify and isolate lithologic units and their structural and geomorphological settings and parameters. The analysis accuracy can be improved by using spectral signatures from local geological samples, and we provide also spectra measuring services for the VNIR and TIR.

We also carry out detailed photo-interpretation for geomorphological and structural mapping, providing a wealth of information without the need to set foot on the ground, as: relative age of landforms and lithologic units, fault kinematics and age, stratimetry, etc.

All products are validated using existing geological maps; for specific applications we also provide ad hoc field validation.

Teide
Lithologic classification of Mount Teide, Tenerife, obtained by supervised classification trained using field-measured spectral signatures (Amici et al., 2013).
Classifications of different lava units of the Mount Etna volcano, Italy, obtained by supervised classification of multispectral (ASTER) and hyperspectral (Hyperion) data trained using field-measured spectral signatures. Multiple classes within the pixel size have been measured, e.g. reflectance of exposed lava and lava plus reddish bushes. (Amici et al., 2014).
Classifications of different lava units of the Mount Etna volcano, Italy, obtained by supervised classification of multispectral (ASTER) and hyperspectral (Hyperion) data trained using field-measured spectral signatures. Multiple classes within the pixel size have been measured, e.g. reflectance of exposed lava and lava plus reddish bushes. (Amici et al., 2014).