The Role of Drone Photogrammetry, Remote Sensing and GIS Methods in the Detection of Ore Areas and Their Surroundings
Abstract
Mining works take place in a laborious and long process. The terrestrial methods used include
classical activities that are economically very expensive and do not lead directly to results. The geography
studied in mining areas brings with it many difficulties. It requires different methods in order to ensure the
sustainability of mining operations and to use time efficiently. This study was carried out in order to contribute
to mining research by using the most effective methods of the study conducted for this purpose. The study area
was carried out in the Bayat District of Corum, in the western part of the Central Black Sea Region. Drone
photogrammetry and different remote sensing methods were used to investigate the metallic mines in this area.
The study which was applied in a license area where the height difference is high in difficult geographical
conditions. In the first stage of the study, the digital elevation model of the region was prepared by taking drone
images from different heights in difficult geographical conditions. In the second stage, using the high spectral
resolution of the ASTER satellite data, different remote sensing methods were used and the mineral presence in
the region was examined. Ore-dense areas were determined with terrain maps created using data from drone and
ASTER satellite images. For this purpose, unsupervised classification methods and band ratio techniques were
used to extract the potential mineral distribution. The samples obtained from the ground control points taken as
field-validated and the results of the regression analysis were evaluated together.
Keywords
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2022 |
| Published in Issue | Year 2022 |
