한국지리정보학회지 (Journal of the Korean Association of Geographic Information Studies)

  • 제14권2호
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  • Pages.69-81
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  • 2011
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  • 1226-9719(pISSN)
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  • 2287-6952(eISSN)
한국지리정보학회 (The Korean Association of Geographic Information Studies)
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위성관측 토양수분과 지상관측망 자료의 상관성 분석

Correlation Analysis Between Soil Moisture Retrieved from Satellite Images and Ground Network Measurements

  • 김광섭 (경북대학교 건축토목공학부) ;
  • 김종필 (경북대학교 건축토목공학부)
  • Kim, Gwang-Seob (School of Archi. and Civil Engineering, Kyungpook National University) ;
  • Kim, Jong-Pil (School of Archi. and Civil Engineering, Kyungpook National University)
  • 투고 : 2011.03.22
  • 심사 : 2011.05.06
  • 발행 : 2011.06.30
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초록

원격탐사자료로부터 추정된 토양수분자료의 우리나라 지역에 대한 적용성을 평가하기 위하여 NASA와 VUA-NASA의 AMSR-E 토양수분자료를 수집하여, 2008년 5월 16일부터 8월 19일까지 용담댐 유역내 6개 지상관측지점의 토양수분자료와 비교분석을 수행하였다. 시계열 분석결과, 지상관측 토양수분자료의 평균은 약 $0.218m^3/m^3$, NASA 자료의 평균은 약 $0.119m^3/m^3$, VUA-NASA 자료의 평균은 약 $0.402m^3/m^3$으로 나타나, NASA의 토양수분자료는 용담댐 유역에 있어서 과소 추정되었으며, VUA-NASA 자료는 과대 추정되었다는 것을 알 수 있었다. 지상관측자료와의 상관성 분석결과, NASA 알고리듬을 이용한 토양수분자료보다 VUA-NASA의 토양수분자료가 지상관측자료와 더 높은 상관성을 보여주었다. 그러나 C-band 원격탐사 토양수분자료가 가지는 한계가 존재함을 알 수 있으며, 원격탐사 토양수분자료의 활용성을 높이기 위하여 다양한 토지피복, 식생 등에 대한 지상관측 토양수분을 활용한 편의보정 등 후처리가 필요한 실정이다.

The soil moisture data of the National Aeronautics and Space Administration(NASA) and the Vrije Universiteit Amsterdam(VUA) in collaboration with NASA, retrieved from Advanced Microwave Scanning Radiometer-Earth observing system(AMSR-E) brightness temperature, were collected to evaluate the applicability of the remote sensed soil moisture in South Korea. The averages of the soil moisture by in-situ sensors, by NASA and by VUA-NASA are approximately 0.218, 0.119, and $0.402m^3/m^3$, respectively. This indicates that the soil moisture of NASA was underestimated and that of VUA-NASA was overestimated. The soil moisture products of VUA-NASA showed a better relationship with the in-situ data than that of NASA data. However, there are still limitations of C-band soil moisture measurements. To improve the applicability of satellite soil moisture measurements, bias correction and other post processings are essential using in-situ soil moisture measurements at various surface conditions.

키워드

참고문헌

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피인용 문헌

  1. Temporal and Spatial Variation of Soil Moisture in Upland Soil using AMSR2 SMC vol.48, pp.6, 2015, https://doi.org/10.7745/KJSSF.2015.48.6.658
  2. Spatial Downscaling of AMSR2 Soil Moisture Content using Soil Texture and Field Measurements vol.48, pp.6, 2015, https://doi.org/10.7745/KJSSF.2015.48.6.571
  3. Bias Correction of AMSR2 Soil Moisture Data Using Ground Observations vol.57, pp.4, 2015, https://doi.org/10.5389/KSAE.2015.57.4.061
  4. Spatial merging of satellite based soil moisture and in-situ soil moisture using conditional merging technique vol.49, pp.3, 2016, https://doi.org/10.3741/JKWRA.2016.49.3.263
  5. Terra MODIS NDVI 및 LST 자료와 RNN-LSTM을 활용한 토양수분 산정 vol.61, pp.6, 2011, https://doi.org/10.5389/ksae.2019.61.6.123
  6. SAR를 이용한 토양수분 및 수문인자 산출 연구동향 vol.23, pp.3, 2011, https://doi.org/10.11108/kagis.2020.23.3.026