1. Detection of the Mineral Presence and Its Effects on Different Tree Species Using Drone Photogrammetry and Remote Sensing Methods
- Author
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ALKAN, Oyku, AL-ZUBADE, Muntaha Kassım Hayder, and ALKAN, Mehmet Nurullah
- Subjects
Engineering ,Remote sensing ,Drone photogrammetry ,GIS ,Mühendislik - Abstract
It is expected that the vegetation, especially the tree roots, will be affected by the undergroundmines that may be discovered and have different spectral characteristics. In particular, it is possible for forestareas to be more frequent and stronger by being fed from metallic mines that are mineralized in a long processunderground. For this purpose, the study was carried out in a mining area with a licensed gold and coppermineralization located in the west of Amasya province borders. Drone Photogrammetry has been studied toclearly classify the trees in the forest with dense and steep geography in the region. The spectral anomaly of treespecies was investigated by using the ASTER satellite image with high spectral resolution of the region. Withremote sensing methods such as SAVI, NDVI and supervised classification, satellite images were enriched toreach potential ore-intensive areas. The slope analysis was performed by creating a digital terrain model for theregion, which geography is very rough and steep, and it was examined by considering tree height values fromdifferent angles. Tree species classified by the Spectral Correlation Mapping method were also evaluatedtogether with their spectral signatures.
- Published
- 2022
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