Examination of the Change in the Vegetation Around the Kirka Boron Mine Site by Using Remote Sensing Techniques


Cetin M., Isik Pekkan O., Bilge Ozturk G., ŞENYEL KÜRKÇÜOĞLU M. A. , Kucukpehlivan T., Cabuk A.

Water, Air, and Soil Pollution, vol.233, no.7, 2022 (Journal Indexed in SCI Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 233 Issue: 7
  • Publication Date: 2022
  • Doi Number: 10.1007/s11270-022-05738-y
  • Title of Journal : Water, Air, and Soil Pollution
  • Keywords: Mine site, NDRe, NDVI, Remote sensing, Unsupervised classification

Abstract

© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.Within the scope of the study, the change occurring in the vegetation cover was examined in different temporal and spatial scales for in the example of Kırka boron mining site. Two different satellite images, namely Landsat and Sentinel, were utilized while the competence of these two satellite images were analyzed. Unsupervised classification and vegetation indexes have been used from remote sensing techniques. It was observed that the mining area boundary could not be determined using vegetation indexes, whereas unsupervised classification techniques showed that the miningral site occupies 1144.5 ha area. NDVI and NDRe analyses were conducted to determine the vegetation change outside the mining area. It has been determined that the analyses performed with the NDVI (normalized difference vegetation index) and NDRe (normalized difference red edge index) indexes show different results on water surfaces, while they show similar results in rest of the areas. In NDVI analysis, it has been determined that the two satellite images gave similar results in NDVI analyses, while having higher spatial resolution, sentinel satellite images were able to capture more details.