A study on determination of chlorophyll-a values using remote sensing method
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2025
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Advisor: Doç. Dr. Fuat Bozok ; Dr. Öğr. Üyesi Pınar Karakuş
Abstract (EN)
In this study, corn and sunflower leaf samples were collected from different localities of Osmaniye province and their chlorophyll contents were investigated spectrophotometrically and by remote sensing method. At the end of the research, according to the results obtained from spectrophotometric analysis, it was determined that the corn plant collected from Nohuttepe location of Osmaniye province had the highest levels of both chlorophyll-a (3.63 mg/g fw) and chlorophyll-b (1.23 mg/g fw), while the sunflower plant collected from Cevdetiye location of Karataş had the lowest levels of both chlorophyll-a (0.3 mg/g fw) and chlorophyll-b (0.01 mg/g fw). Chlorophyll-a amounts were determined using the remote sensing method with the Normalized Difference Chlorophyll Index (NDCI). However, it was observed that the chlorophyll-a values obtained with the NDCI varied between 1.476 and 1.479. As a result of this study, it was concluded that point-based chlorophyll-a values could not be obtained by the remote sensing method.
Author
Zeynep Sevim Geyik
How to Cite
Zeynep Sevim Geyik (Master Thesis). A study on determination of chlorophyll-a values using remote sensing method, 2025, Osmaniye Korkut Ata University.
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