Vegetation and Evapotranspiration Analyses on Climate Maps

Abstract

This study focuses on the investigation of Evapotranspiration (ET) processes under the climatic and geographical characteristics of Türkiye. ET refers to the process by which plants transfer water vapor to the atmosphere and is an important part of the water cycle. This research analyzes ET in Türkiye using imagery data from NASA Global Land Data Assimilation System Version 2 (GLDAS-2), MODIS, TerraClimate, SMAP Level-4, and Penman-Monteith-Leuning ET V2 (PML_V2). Surface Soil Moisture (SSM) data for Türkiye between 2016 and 2022 and Land Surface Temperature (LST) data between 2000 and 2022 were obtained from MODIS images. In the study, regression analyses were performed with ET values and SSM and LST data. The best result was a moderate correlation (R 0.57) between ET produced from SMAP Level-4 data and LST. A high correlation (R 0.59) was observed with SSM. Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) 1981 and 2023 precipitation data and 1981 and 2023 Surface Pressure (PS) data were obtained from MERRA image. Regression analyses were performed between ET data and PS and precipitation values. A moderate relationship (R 0.37) was observed between ET and PS produced from MOD16A2 V105 data. A moderate relationship (R 0.50) was observed between ET and precipitation obtained from TerraClimate data. This study aims to contribute to the development of strategies to effectively manage water resources and improve agricultural sustainability by analyzing ET in various regions of Türkiye.

Keywords

• ET
• GLDAS-2
• MODIS
• TerraClimate
• SSM
• LST

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