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KMID : 1024520160250121653
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Journal of the Environmental Sciences
2016 Volume.25 No. 12 p.1653 ~ p.1660
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Computation of Actual Evapotranspiration using Drone-based Remotely Sensed Information: Preliminary Test for a Drought Index
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Lee Geun-Sang
Kim Sung-Wook
Hamm Se-Yeong
Lee Khil-Ha
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Abstract
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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.
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KEYWORD
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Actual evapotranspiration, Drone, Drought index, Natural disaster, PT-JPL
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