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위성 및 장기예측자료의 기계학습을 통한 가뭄예측 (Drought forecasting based on machine learning of remote sensing and long-range forecast data)

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  • 위성 및 장기예측자료의 기계학습을 통한 가뭄예측 (Drought forecasting based on machine learning of remote sensing and long-range forecast data)
  • Rhee, Jinyoung이진영
  • APCC


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Title 위성 및 장기예측자료의 기계학습을 통한 가뭄예측 (Drought forecasting based on machine learning of remote sensing and long-range forecast data)
Similar Titles
Material Type Reports
Author(English)

Rhee, Jinyoung

Author(Korean)

이진영

Publisher

Busan:APCC

Date 2015
Series Title; No 연구보고서 / 2015-16
Subject Country South Korea(Asia and Pacific)
Language Korean
File Type Link
Subject Industry and Technology < Others
Government and Law < Public Safety
Holding APCC

Abstract

and proactive measures against drought disasters. Accurate and timely provision of drought information is the most essential. This study developed a drought forecasting model to provide high-resolution drought information based on drought indicators that is useful for decision-makers. The purposes of the study are (1) to identify the needs of decision-makers regarding drought information through a two-part survey; (2) to develop a drought forecasting model using remote sensing and long-range forecast data based on machine learning, then assess its performance; and (3) to provide improvable ranges of drought forecasting capability in case of enhanced long-range forecast. A two-part survey, in the form of a questionnaire, was conducted. Fifty-one government officials from 17 municipal governments were asked to participate in the survey. These government officials’ main duties include addressing issues on droughts, heatwaves, disasters, wildfires, and urban greening. (The rest omitted)