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2020 Vol.62, Issue 6 Preview Page
Estimation of High-Resolution Soil Moisture Using Sentinel-1A/B SAR and Soil Moisture Data Assimilation Scheme

Sentinel-1A/B SAR와 토양수분자료동화기법을 이용한 고해상도 토양수분 산정

Sangwoo Kima
,
Taehwa Leeb
,
Beomseok Chunc
,
Younghun Jungd
,
Won Seok Jange
,
Chanyang Surf
,
Yongchul Shing†
김 상우a
,
이 태화b
,
천 범석c
,
정 영훈d
,
장 원석e
,
서 찬양f
,
신 용철g†
aPh.D. Student, Department of Agricultural Civil Engineering, Kyungpook National University
bPh.D. Student, Department of Agricultural Civil Engineering, Kyungpook National University
cMS Student, Department of Agricultural Civil Engineering, Kyungpook National University
dAssistant Professor, Department of Advanced Science and Technology Convergence, Kyungpook National University
eResearch Fellow, Division of Public Infrastructure Assessment, Environmental Assessment Group, Korea Environment Institute
fAssistant Professor, Department of Civil and Environmental Engineering, Sejong University
gAssociate Professor, Department of Agricultural Civil Engineering, Kyungpook National University
a박사 경북 대학교 농업 토목 공학과 학생
b박사 경북 대학교 농업 토목 공학과 학생
c경북 대학교 농업 토목 공학과 석사 과정
d경북 대학교 첨단 과학 기술 융합학과 조교수
e한국 환경 연구원 환경 평가단 공공 기반 시설 평가과 연구 위원
f세종 대학교 토목 환경 공학과 조교수
g경북 대학교 농업 토목 공학과 부교수
† Corresponding author Tel.: +82-53-950-5734 Fax.: +82-53-950-6752 E-mail: ycshin@knu.ac.kr
2020. pp. 11-20
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Abstract

We estimated the spatio-temporally distributed soil moisture using Sentinel-1A/B SAR (Synthetic Aperture Radar) sensor images and soil moisture data assimilation technique in South Korea. Soil moisture data assimilation technique can extract the hydraulic parameters of soils using observed soil moisture and GA (Genetic Algorithm). The SWAP (Soil Water Atmosphere Plant) model associated with a soil moisture assimilation technique simulates the soil moisture using the soil hydraulic parameters and meteorological data as input data. The soil moisture based on Sentinel-1A/B was validated and evaluated using the pearson correlation and RMSE (Root Mean Square Error) analysis between estimated soil moisture and TDR soil moisture. The soil moisture data assimilation technique derived the soil hydraulic parameters using Sentinel-1A/B based soil moisture images, ASOS (Automated Synoptic Observing System) weather data and TRMM (Tropical Rainfall Measuring Mission)/GPM (Global Precipitation Measurement) rainfall data. The derived soil hydrological parameters as the input data to SWAP were used to simulate the daily soil moisture values at the spatial domain from 2001 to 2018 using the TRMM/GPM satellite rainfall data. Overall, the simulated soil moisture estimates matched well with the TDR measurements and Sentinel-1A/B based soil moisture under various land surface conditions (bare soil, crop, forest, and urban).

Keywords
Satellite
sentinel-1A/B
soil moisture
SAR
SWAP
soil moisture data assimilation
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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 :11-20
  • Received Date : 2020-07-13
  • Revised Date : 2020-10-20
  • Accepted Date : 2020-10-20
  • DOI :https://doi.org/10.5389/KSAE.2020.62.6.011
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