TY  - JOUR
T1  - The Role of Drone Photogrammetry, Remote Sensing and GIS Methods in the Detection of Ore Areas and Their Surroundings
AU  - Al-zubade, Muntaha Kassım Hayder
AU  - Alkan, Oyku
PY  - 2022
DA  - December
DO  - 10.55549/epstem.1226662
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 380
EP  - 387
VL  - 21
LA  - en
AB  - Mining works take place in a laborious and long process. The terrestrial methods used includeclassical activities that are economically very expensive and do not lead directly to results. The geographystudied in mining areas brings with it many difficulties. It requires different methods in order to ensure thesustainability of mining operations and to use time efficiently. This study was carried out in order to contributeto mining research by using the most effective methods of the study conducted for this purpose. The study areawas carried out in the Bayat District of Corum, in the western part of the Central Black Sea Region. Dronephotogrammetry 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 geographicalconditions. In the first stage of the study, the digital elevation model of the region was prepared by taking droneimages from different heights in difficult geographical conditions. In the second stage, using the high spectralresolution of the ASTER satellite data, different remote sensing methods were used and the mineral presence inthe region was examined. Ore-dense areas were determined with terrain maps created using data from drone andASTER satellite images. For this purpose, unsupervised classification methods and band ratio techniques wereused to extract the potential mineral distribution. The samples obtained from the ground control points taken asfield-validated and the results of the regression analysis were evaluated together.
KW  - Remote sensing
KW  - Drone photogrammetry
KW  - GIS
UR  - https://doi.org/10.55549/epstem.1226662
L1  - https://dergipark.org.tr/en/download/article-file/2862368
ER  -