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2020 Vol.62, Issue 6
Estimation of Water Storage in Small Agricultural Reservoir Using Sentinel-2 Satellite Imagery

Sentinel-2 위성영상을 활용한 농업용 저수지 가용수량 추정

Hee-Jin Leea
,
Won-Ho Namb†
,
Dong-Hyun Yoonc
,
Min-Won Jangd
,
Eun-Mi Honge
,
Taegon Kimf
,
Dae-Eui Kimg
이 희진a
,
남 원호b†
,
윤 동현c
,
장 민원d
,
홍 은미e
,
김 태곤f
,
김 대의g
aGraduate Student, Department of Bioresources and Rural Systems Engineering, Hankyong National University, Anseong, Republic of Korea
bAssociate Professor, School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
c Graduate Student, Department of Bioresources and Rural Systems Engineering, Hankyong National University, Anseong, Republic of Korea
d Associate Professor, Department of Agricultural Engineering, Institute of Agricultural and Life Science, Gyeongsang National University, Jinju, Republic of Korea
e Assistant Professor, School of Natural Resources and Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
f Research Associate, Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
g Senior Researcher, Rural Research Institute, Korea Rural Community Corporation, Ansan, Republic of Korea
a한경 대학교 생명 자원 및 농촌 시스템 공학과 대학원생
b 국립 농수 연구소 농업 환경 과학 연구소 사회 안전 시스템 공학부 부교수, 한경 대학교 안성
c한경 대학교 생명 자원 및 농촌 시스템 공학과 대학원생
d경상 대학교 농업 생명 과학 연구소 농업 공학과 부교수
e강원 대학교 자연 자원 환경 과학부 전자 조교수, 춘천
f미국 미네소타 주 세인트 폴 소재 미네소타 대학교 바이오 제품 및 바이오 시스템 공학과 연구원
g한국 농어촌 공사 농촌 연구원 선임 연구원, 안산
† Corresponding author Tel.: +82-31-670-5137 Fax.: +82-31-670-5139 E-mail: wonho.nam@hknu.ac.kr
2020. pp. 1-9
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Abstract

Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

Keywords
Remote sensing
sentinel-2
normalized difference water index (NDWI)
agricultural reservoir
water surface area
water level-storage
References

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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 62
  • No :6
  • Pages :1-9
  • Received Date : 2020-09-02
  • Revised Date : 2020-10-14
  • Accepted Date : 2020-10-19
  • DOI :https://doi.org/10.5389/KSAE.2020.62.6.001
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