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

Authors : Şerafettin AŞIK

Pages : 151-160

Doi:10.20289/zfdergi.836217

View : 100 | Download : 14

Publication Date : 2020-12-31

Article Type : Research Paper

Abstract :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.
Keywords : Uzaktan algılama, CBS, tarımsal kuraklık, NDVI, SAVI, LST

ORIGINAL ARTICLE URL