Please use this identifier to cite or link to this item: http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5273
Title: Examination of the Change in the Vegetation Around the Kirka Boron Mine Site by Using Remote Sensing Techniques
Authors: Cetin, Mehmet
Isik Pekkan, Ozge
Bilge Ozturk, Gulsah
Senyel Kurkcuoglu, Muzeyyen Anil
Kucukpehlivan, Tuncay
Cabuk, Alper
Ordu Üniversitesi
0000-0002-0684-2247
0000-0002-8992-0289
0000-0002-8317-2961
0000-0002-9423-6932
0000-0003-4634-4864
0000-0001-9054-5984
Keywords: Mine site, NDVI, NDRe, Remote sensing, Unsupervised classification
LAND-COVER CHANGE, GIS, DISTURBANCES, FORESTS
Issue Date: 2022
Publisher: SPRINGER INT PUBL AG-CHAM
Citation: Cetin, M., Pekkan, OI., Ozturk, GB., Kurkcuoglu, MAS., Kucukpehlivan, T., Cabuk, A. (2022). Examination of the Change in the Vegetation Around the Kirka Boron Mine Site by Using Remote Sensing Techniques. Water Air Soil Pollut., 233(7). https://doi.org/10.1007/s11270-022-05738-y
Abstract: 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 Kirka 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.
Description: WoS Categories: Environmental Sciences; Meteorology & Atmospheric Sciences; Water Resources
Web of Science Index: Science Citation Index Expanded (SCI-EXPANDED)
Research Areas: Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences; Water Resources
URI: http://dx.doi.org/10.1007/s11270-022-05738-y
https://www.webofscience.com/wos/woscc/full-record/WOS:000819003500002
http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5273
ISSN: 0049-6979
1573-2932
Appears in Collections:Peyzaj Mimarlığı

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