Drought is a reoccurring worldwide natural hazard that affects not only food production but also economics, health, and infrastructure. Drought monitoring is usually performed with precipitation-based indices without consideration of the actual state and amount of the land surface properties. A drought index based on the actual evapotranspiration can overcome these shortcomings. The severity of a drought can be quantified by making a spatial map. The procedure for estimating actual evapotranspiration is costly and complicated, and requires land surface information. The possibility of utilizing drone-driven remotely sensed data for actual evapotranspiration estimation was analyzed in this study. A drone collected data was used to calculate the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI). The spatial resolution was 10 m with a grid of 404 x 395. The collected data were applied and parameterized to an actual evapotranspiration estimation. The result shows that drone-based data is useful for estimating actual evapotranspiration and the corresponding drought indices.

Abstract
 1. 서 론
 2. 재료 및 방법
 3. 이론적 배경
 4. 결과 및 고찰
 5. 결 론
 감사의 글
 REFERENCES

• 이근상(전주비전대학교 지적토목학과, Cadasree & Civil Engineering, Vision College of Jeonju) | Geun-Sang Lee
• 김성욱(지아이 지반정보연구소, Geo-information Institute, GI Co. Ltd) | Sung-Wook Kim
• 함세영(부산대학교 지질환경과학과, Department of Geological Science, Pusan National University) | Se-Yeong Hamm
• 이길하(대구대학교 건설시스템공학과, Department of Civil Engineering, Daegu University) | Khil-Ha Lee Corresponding author