Special Issue "Advances in Lithological and Structural Mapping Using Earth Observation Data"
Тезисы до: 31.08.2016
Даты: 31.08.16 — 31.08.16
Область наук: Геолого-минералогические;
Е-мейл Оргкомитета: firstname.lastname@example.org
Geological mapping is traditionally carried out on the ground through field surveys. However, field mapping in complex terrain can be laborious and inefficient, particularly over large areas and at large (detailed) mapping scales. Recent advances in Earth Observation techniques have, and continue to, revolutionise the way in which we study the geological composition and structure of Earth’s surface. In particular, remote sensing has provided a means of acquiring continuous, high-resolution data over large areas, therefore helping to overcome the limitations associated with field-based mapping. Nevertheless, the combination of remotely sensed data with in situ observations is synergistic in enabling us to gain a more comprehensive understanding of Earth’s geology.
This Special Issue of Geosciences focuses on recent advances in lithological and structural mapping using satellite, airborne and in situ Earth Observation data, with a particular emphasis on the application of new and state-of-the-art sensors, platforms and algorithms. The aim is to compile a collection of articles that provides a comprehensive and valuable reference for geoscientists, which addresses fundamental research questions and looks to the future to determine the Earth Observation requirements for significantly advancing the field in the next 10–20 years. Accordingly, we invite submissions relating to topics such as:
Multi- and hyperspectral optical and thermal infrared sensors
Geophysical data (e.g., gravity, magnetic, radiometric, seismic)
LiDAR, digital elevation models and geomorphometry
Applications in the use of Synthetic Aperture Radar (SAR), Interferometric SAR, Polarimetry and Polarimetric Interferometry.
In situ or proximal techniques (e.g., geochemical analysis, field spectroscopy)
Innovative image enhancement techniques and classification algorithms
Lineament extraction and structural mapping
Integration of multi-source and multi-platform (i.e., satellite, airborne, in situ) data
Overcoming the effects of dense vegetation on lithological and structural mapping
Use of unmanned aerial vehicles (UAVs)
Future geoscientific observational requirements
Веб-сайт конференции: http://www.mdpi.com/journal/geosciences/special_issues/Lithologica-Structural-Mapping