DOI QR코드

DOI QR Code

Construction and estimation of soil moisture site with FDR and COSMIC-ray (SM-FC) sensors for calibration/validation of satellite-based and COSMIC-ray soil moisture products in Sungkyunkwan university, South Korea

위성 토양수분 데이터 및 COSMIC-ray 데이터 보정/검증을 위한 성균관대학교 내 FDR 센서 토양수분 측정 연구(SM-FC) 및 데이터 분석

  • Kim, Hyunglok (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.) ;
  • Sunwoo, Wooyeon (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.) ;
  • Kim, Seongkyun (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.) ;
  • Choi, Minha (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.)
  • 김형록 (성균관대학교 수자원전문대학원 수자원학과) ;
  • 선우우연 (성균관대학교 수자원전문대학원 수자원학과) ;
  • 김성균 (성균관대학교 수자원전문대학원 수자원학과) ;
  • 최민하 (성균관대학교 수자원전문대학원 수자원학과)
  • Received : 2015.12.01
  • Accepted : 2015.12.28
  • Published : 2016.02.29

Abstract

In this study, Frequency Domain Reflectometry (FDR) and COSMIC-ray soil moisture (SM) stations were installed at Sungkyunkwan University in Suwon, South Korea. To provide reliable information about SM, soil property test, time series analysis of measured soil moisture, and comparison of measured SM with satellite-based SM product are conducted. In 2014, six FDR stations were set up for obtaining SM. Each of the stations had four FDR sensors with soil depth from 5 cm to 40 cm at 5~10 cm different intervals. The result showed that study region had heterogeneous soil layer properties such as sand and loamy sand. The measured SM data showed strong coupling with precipitation. Furthermore, they had a high correlation coefficient and a low root mean square deviation (RMSD) as compared to the satellite-based SM products. After verifying the accuracy of the data in 2014, four FDR stations and one COSMIC-ray station were additionally installed to establish the Soil Moisture site with FDR and COSMIC-ray, called SM-FC. COSMIC-ray-based SM had a high correlation coefficient of 0.95 compared with mean SM of FDR stations. From these results, the SM-FC will give a valuable insight for researchers into investigate satellite- and model-based SM validation study in South Korea.

본 연구에서는 수원 성균관대학교 내 Frequency Domain Reflectometry (FDR) 토양수분 측정 장비 및 COSMIC-ray 중성자 측정 장비를 통한 토양수분 지점 관측 사이트를 확립하였다. 또한 양질의 토양수분 데이터 확보를 위해 연구지역 내 토질실험, 토질별 FDR 토양수분 데이터 및 COSMIC-ray 중성자 개수의 시계열 분석, 관측한 토양수분 데이터와 위성 기반 토양수분 데이터와의 비교분석을 실시하였다. 2014년도부터 6개 지점에서 표층으로부터 5 cm에서 40 cm까지 총 24개의 FDR 센서를 5~10 cm 깊이별로 설치하여 토양수분 데이터를 측정하였다. 해당 지점들의 토질 분석결과, Sand에서 Loamy Sand까지의 다양한 토질이 불균질한 층을 이루어 분포되어 있는 것으로 판단되었다. 측정된 토양수분 데이터는 강우 데이터와 높은 상관성을 보이며, 위성 산출 토양수분 데이터와의 비교에서도 상대적으로 높은 상관관계와 낮은 평균제곱근편차(Root mean square deviation, RMSD)값을 보여주었다. 2014년도 설치 지역 토양수분 데이터의 신뢰도가 확보됨에 따라 2015년도에는 10개의 FDR 토양수분 측정 장비 및 COSMIC-ray 중성자 측정 장비가 추가로 설치되어 성균관대학교의 Soil Moisture site with FDR and COSMIC-ray(SM-FC) 연구지역이 구축되었다. SM-FC에 설치된 COSMIC-ray 중성자 측정 장비의 최초 검증을 위해 2015년 8~11월의 COSMIC-ray 중성자 데이터 및 FDR 토양수분 데이터가 활용되었다. 중성자기반 토양수분 값과 전체 지점 FDR 토양수분 평균값을 비교한 결과 매우 높은 상관관계를 볼 수 있었다 (상관계수 0.95). 이러한 연구를 통해 성균관대학교 SM-FC는 향후 한반도 지역 위성 및 모델 토양수분 데이터를 검증하는 대표 연구지역이 될 것으로 기대된다.

Keywords

References

  1. Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Matgen, P., Martinez-Fernandez, J., Llorens, P., Latron, J., Martin, C., and Bittelli, M. (2011). "Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe." Remote Sensing of Environment, Vol. 115, No. 12, pp. 3390-3408. https://doi.org/10.1016/j.rse.2011.08.003
  2. Brocca, L., Melone, F., Moramarco, T., Wagner, W., and Hasenauer, S. (2010). "ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy." Remote Sensing of Environment, Vol. 114, No. 11, pp. 2745-2755. https://doi.org/10.1016/j.rse.2010.06.009
  3. Cho, E., Choi, M., and Wagner, W. (2015). "An assessment of remotely sensed surface and root zone soil moisture through active and passive sensors in northeast Asia." Remote Sensing of Environment, Vol. 160, pp. 166-179. https://doi.org/10.1016/j.rse.2015.01.013
  4. Choi, M., and Jacobs, J. M. (2008). "Temporal Variability Corrections for Advanced Microwave scanning radiometer E (AMSR-E) surface soil moisture: case study in little river region." Georgia, U.S. Sensors, Vol. 8, No. 4, pp. 2617-2627. https://doi.org/10.3390/s8042617
  5. Choi, M., and Jacobs, J.M. (2007). "Soil moisture variability of root zone profiles within SMEX02 remote sensing footprints." Advances in Water Resources, Vol. 30, No. 4, pp. 883-896. https://doi.org/10.1016/j.advwatres.2006.07.007
  6. Choi, M., Jacobs, J.M., and Cosh, M.H. (2007). "Scaled spatial variability of soil moisture fields." Geophysical Research Letters, 34, L01401.
  7. Desilets, D., and Zreda, M. (2013). "Footprint diameter for a cosmic-ray soil moisture probe: Theory and Monte Carlo simulations." Water Resources Research, Vol. 49, No. 6, pp. 3566-3575. https://doi.org/10.1002/wrcr.20187
  8. Desilets, D., Zreda, M., and Ferre, T. (2010). "Nature's neutron probe: Land-surface hydrology at an elusive scale with cosmic rays." Water Resources Research, 46, W011505.
  9. Dorigo, W.A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Xaver, A., Gruber, A., Drusch, M., Mecklenburg, S., Oevelen, P. van., Robock, A., and Jackson, T. (2011). "The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements." Hydrology and Earth System Sciences, Vol. 15, pp. 1675-1698. https://doi.org/10.5194/hess-15-1675-2011
  10. Dorigo, W.A., Xaver, A., Vreugdenhil, M., Gruber, A., Hegyiova, A., Sanchis-Dufau, A.D., Zamojski, D., Cordes, C., Wagner, W., and Drusch, M. (2013). "Global automated quality control of in situ soil moisture data from the International Soil Moisture Network." Vadose Zone Journal, Vol. 12, No. 3.
  11. Franz, T.E., Zreda, M., Rosolem, R., and Ferre, T.P.A. (2013). "A universal calibration function for determination of soil moisture with cosmic-ray neutrons." Hydrology and Earth System Sciences, Vol. 17, pp. 453-460. https://doi.org/10.5194/hess-17-453-2013
  12. Giannecchini, R., and Pochini, A. (2003). "Geotechnical influence on soil slips in the Apuan Alps (Tuscany): first results in the Cardoso area." Proceedings International Conference on Fast Movements-Prediction and Prevention for Risk Mitigation (IC-FSM2003), Napoli, May, 11-13, 2003, pp. 241-245.
  13. Hawdon, A., McJannet, D., and Wallace, J. (2014). "Calibration and correction procedures for cosmic-ray neutron soil moisture probes located across Australia." Water Resources Research, Vol. 50, pp. 5029-5043. https://doi.org/10.1002/2013WR015138
  14. Jackson, T.J., Cosh, M.H., Bindlish, R., Starks, P.J., Bosch, D. D., Seyfried, M., David, Goodrich, D.C., Moran, M.S., and Du, J. (2010). "Validation of advanced microwave scanning radiometer soil moisture products. Geoscience and Remote Sensing." IEEE Transactions on, Vol. 48, No. 12, pp. 4256-4272.
  15. Kerr, Y.H., Waldteufel, P., Wigneron, J.P., Delwart, S., Cabot, F.O., Boutin, J., Escorihuela, M.J., Font, J., Reul, N., and Gruhier C. (2010). "The SMOS mission: New tool for monitoring key elements ofthe global water cycle." Proceedings of the IEEE, Vol. 98, No. 5, pp. 666-687. https://doi.org/10.1109/JPROC.2010.2043032
  16. Kim, H., and Choi, M. (2015a). "Impact of soil moisture on dust outbreaks in East Asia: Using satellite and assimilation data." Geophysical Research Letters, Vol. 42, No. 8, pp. 2789-2796. https://doi.org/10.1002/2015GL063325
  17. Kim, H., and Choi, M. (2015b). "An Inter-comparison of active and passive satellite soil moisture products in East Asia for dust-outbreak prediction." Journal of Korean Society of Hazard Mitigation, Vol. 15, No. 4, pp. 53-58.
  18. Kim, S., Liu, Y.Y., Johnson, F.M., Parinussa, R.M., and Sharma, A. (2015). "A global comparison of alternate AMSR2 soil moisture products: Why do they differ?" Remote Sensing of Environment, Vol. 161, pp. 43-62. https://doi.org/10.1016/j.rse.2015.02.002
  19. Knoll, G.F. (2000). Radiation detection and measurement, Wiley, New York, p. 802.
  20. Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., van Dijk, A.I.J.M., McCabe, M.F., and Evans, J.P. (2011). "Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals." Hydrology and Earth System Sciences, Vol. 15, No. 2, pp. 425-436. https://doi.org/10.5194/hess-15-425-2011
  21. Njoku, E.G., Jackson, T.J., Lakshmi, V., Chan, T.K., and Nghiem, S.V. (2003). "Soil moisture retrieval from AMSR-E. Geoscience and Remote Sensing." IEEE Transactions on, Vol. 41, No. 2, pp. 215-229.
  22. Parinussa, R.M., Wang, G., Holmes, T.R.H., Liu, Y.Y., Dolman, A.J., de Jeu, R.A.M., Jiang, T. Zhang, P. and Shi J. (2014). "Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite." International Journal of Remote Sensing, Vol. 35, No. 19, pp. 7007-7029. https://doi.org/10.1080/01431161.2014.960622
  23. Robinson, D.A., Jones, S.B., Wraith, J.M., Friedman, D. Or, S.P. (2003). "A review of advances in dielectric and electrical conductivity measurement in soils using time domain reflectometry." Vadose Zone Journal, Vol. 2, No. 4, pp. 444-475. https://doi.org/10.2136/vzj2003.4440
  24. Skierucha, W., and Wilczek, A. (2010). "A FDR Sensor for Measuring Complex Soil Dielectric Permittivity in the 10-500 MHz Frequency Range." Sensors, Vol. 10, pp. 3314-3329. https://doi.org/10.3390/s100403314
  25. Smart, D.F., & Shea, M.A. (2008). "World grid of calculated cosmic ray vertical cutoff rigidities for epoch 2000.0." In Proceedings of the 30th International Cosmic Ray Conference, Vol. 1, pp. 737-740.
  26. Wagner, W., Lemoine, G., and Rott, H. (1999). "A method for estimating soil moisture from ERS scatterometer and soil data." Remote Sensing of Environment, Vol. 70, No. 2, pp. 191-207. https://doi.org/10.1016/S0034-4257(99)00036-X
  27. Zreda, M., Shuttleworth, W.J., Zeng, X., Zweck, C., Desilets, D., Franz, T., and Rosolem, R. (2012). "COSMOS: the cosmicray soil moisture observing system." Hydrology and Earth System Sciences, Vol. 16, No. 11, pp. 4079-4099. https://doi.org/10.5194/hess-16-4079-2012

Cited by

  1. Evaluation of the soil water content using cosmic-ray neutron probe in a heterogeneous monsoon climate-dominated region vol.108, 2017, https://doi.org/10.1016/j.advwatres.2017.07.020