Uydu Görüntülerinden Elde Edilen Yüzey Sıcaklığı ve Vejetasyon İndeksleri ile Tarımsal Kuraklığın İzlenmesi

Objective: This study aimed to examine and investigate agricultural drought in the Menemen Right Bank Irrigation Area with the help of Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index indices (SAVI).Material and Method: LANDSAT-8 OLI satellite images were used in the study. Transferring of satellite images to computer and processing of it was carried out with ArcGIS 10.3 and ENVI 10.4 software. NDVI, SAVI and LST indices were used in the assessment of drought.Results: The result of the study revealed that R2 values between LST and NDVI were 0.82 and 0.95 for the years 2015 and 2016 respectively, while the corresponding values for the LST-SAVI correlation were 0.87 and 0.87. The R2 values between NDVI and SAVI were 0.77 and 0.76 for 2015 and 2016 respectively. This study shows that satellite data and the vegetation indices derived from it can be used in monitoring agricultural drought.

Anahtar Kelimeler:

Uzaktan algılama, CBS, tarımsal kuraklık, NDVI, SAVI, LST

Agricultural Drought Monitoring Using Surface Temperature and Vegetation Indices from Satellite Images

Amaç: Bu çalışmanın amacı, LST, NDVI ve SAVI indeksleri yardımıyla LANDSAT 8 uydu görüntüleri kullanılarak Menemen Sağ Sahil sulama alanındaki tarımsal kuraklığı irdelemek ve incelemektir.Materyal ve Metot: Araştırmada LANDSAT-8 OLI uydu görüntülerinin bilgisayar ortamına aktarılması ve işlenmesi, ArcGIS 10.3 ve ENVI 10.4 yazılımlarıyla gerçekleştirilmiştir. Kuraklığın değerlendirilmesinde, NDVI, SAVI ve LST indeksleri kullanılmıştır.Sonuçlar: Araştırma sonucunda, LST-NDVI arasındaki ilişkinin R2 değerleri 2015 ve 2016 yıllarında sırasıyla 0,8203 ve 0,9496 olurken LST-SAVI arasındaki ilişkinin R2 değerleri ise yıllara göre sırasıyla 0,8725 ve 0,8682 olmuştur. NDVI ve SAVI arasındaki ilişkinin R2 değerleri 2015 ve 2016 yıllarında sırasıyla 0,7702 ve 0,7574 olmuştur. Bu çalışmayla, uydu verilerinin ve bunlara bağlı olarak elde edilen vejetasyon indekslerinin tarımsal kuraklığın izlenmesinde kullanılabileceği ortaya konulmuştur.

Keywords:

Remote sensing, GIS, agricultural drought, NDVI, SAVI, LST,

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