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http://dx.doi.org/10.3741/JKWRA.2021.54.10.835

Evaluation of satellite-based evapotranspiration and soil moisture data applicability in Jeju Island  

Jeon, Hyunho (Department of Global Smart City, Sungkyunkwan University)
Cho, Sungkeun (Department of Water Resources, Sungkyunkwan University)
Chung, Il-Moon (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Choi, Minha (School of Civil, Architecture Engineering & Landscape Architecture, Sungkyunkwan University)
Publication Information
Journal of Korea Water Resources Association / v.54, no.10, 2021 , pp. 835-848 More about this Journal
Abstract
In Jeju Island which has peculiarity for its geological features and hydrology system, hydrological factor analysis for the effective water management is necessary. Because in-situ hydro-meteorological data is affected by surrounding environment, the in-situ dataset could not be the spatially representative for the study area. For this reason, remote sensing data may be used to overcome the limit of the in-situ data. In this study, applicability assessment of MOD16 evapotranspiration data, Globas Land Data Assimilation System (GLDAS) based evapotranspiration/soil moisture data, and Advanced SCATterometer (ASCAT) soil moisture product which were evaluated their applicability on other study areas was conducted. In the case of evapotranspiration, comparison with total precipitation and flux-tower based evapotranspiration were conducted. And for soil moisture, 6 in-situ data and ASCAT soil moisture product were compared on each site. As a result, 57% of annual precipitation was calculated as evapotranspiration, and the correlation coefficient between MOD16 evapotranspiration and GLDAS evapotranspiration was 0.759, which was a robust value. The correlation coefficient was 0.434, indicating a relatively low fit. In the case of soil moisture, in the case of the GLDAS data, the RMSE value was less than 0.05 at all sites compared to the in-situ data, and a statistically significant result was obtained as a result of the significance test of the correlation coefficient. However, for satellite data, RMSE over than 0.05 were found at Wolgak and there was no correlation at Sehwa and Handong points. It is judged that the above results are due to insufficient quality control and spatial representation of the evapotranspiration and soil moisture sensors installed in Jeju Island. It is estimated as the error that appears when adjacent to the coast. Through this study, the necessity of improving the existing ground observation data of hydrometeorological factors is emphasized.
Keywords
Remot sensing; Evapotranspiration; Soil moisture; Jeju Island;
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1 Choi, I.C., Shin, H.J., Nguyen, T.T., and Tenhunen, J. (2017). "Water policy reforms in South Korea: A historical review and ongoing challenges for sustainable water governance and management." Water, Vol. 9, No. 9, p. 717.   DOI
2 Dorigo, W.A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Xaver, A., Gruber, A., Drusch, M., Mecklenburg, S., van Oevelen, P., 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, No. 5, pp. 1675-1698.   DOI
3 Kim, B.S., Hamm, S.Y., Lee, C.M., Ok, S.I., Cha, E.J., and Ko, Y.S. (2011). "Features of regional hydrogeology and groundwater distribution of volcanic rocks in Jeju Island." Journal of the Geological Society of Korea, Vol. 47, No. 3, pp. 263-276.
4 Kim, K., Baik, J., Lee, J., Lee, Y., Jung, S., and Choi, M. (2016). "An assessment and analysis of the gap-filling techniques for revising missing data of flux tower based evapotranspiration-FAO-PM, MDV, and Kalman filter." Journal of the Korean Society of Hazard Mitigation, Vol. 16, No. 6, pp. 95-107.   DOI
5 Lee, Y., and Kim, S. (2016). "The modified SEBAL for mapping daily spatial evapotranspiration of South Korea using three flux towers and terra MODIS data." Remote Sensing, Vol. 8, No. 12, 983.   DOI
6 Lievens, H., Reichle, R.H., Liu, Q., De Lannoy, G.J., Dunbar, R.S., Kim, S.B., Das, N.N., Cosh, M., Walker, J.P., and Wagner, W. (2017). "Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates." Geophysical Research Letters, Vol. 44, No. 12, pp. 6145-6153.   DOI
7 Monteith, J.L. (1965). "Evaporation and the environment." Symposia of the Society for Experimental Biology, Vol. 19, pp. 205-234.
8 Mu, Q., Zhao, M., and Running, S.W. (2011). "Improvements to a MODIS global terrestrial evapotranspiration algorithm." Remote Sensing of Environment, Vol. 115, No. 8, pp. 1781-1800.   DOI
9 Naeimi, V., Bartalis, Z., and Wagner, W. (2009). "ASCAT soil moisture: An assessment of the data quality and consistency with the ERS scatterometer heritage." Journal of Hydrometeorology, Vol. 10, No. 2, pp. 555-563.   DOI
10 Jeong, D., and Kang, J. (2009). "An analysis of changes in pan evaporation and climate values related to actual evaporation." Journal of Korea Water Resources Association, Vol. 42, No. 2, pp. 117-129.   DOI
11 Hong, S., and Shin, I. (2011). "A physically-based inversion algorithm for retrieving soil moisture in passive microwave remote sensing." Journal of Hydrology, Vol. 405, No. 1-2, pp. 24-30.   DOI
12 Um, M.J., Yun, H., Jeong, C.S., and Heo, J.H. (2011). "Factor analysis and multiple regression between topography and precipitation on Jeju Island, Korea." Journal of Hydrology, Vol. 410, No. 3-4, pp. 189-203.   DOI
13 Berg, A.A., Famiglietti, J.S., Walker, J.P., and Houser, P.R. (2003). "Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes." Journal of Geophysical Research: Atmospheres, Vol. 108, No. D16.
14 Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, 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.   DOI
15 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.   DOI
16 D'Odorico, P., Caylor, K., Okin, G.S., and Scanlon, T.M. (2007). "On soil moisture-vegetation feedbacks and their possible effects on the dynamics of dryland ecosystems." Journal of Geophysical Research: Biogeosciences, Vol. 112, No. G4.
17 Fisher, J.B., Tu, K.P., and Baldocchi, D.D. (2008). "Global estimates of the land atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites." Remote Sensing of Environment, Vol. 112, No. 3, pp. 901-919.   DOI
18 Hogstrom, E., Heim, B., Bartsch, A., Bergstedt, H., and Pointner, G. (2018). "Evaluation of a MetOp ASCAT-Derived surface soil moisture product in tundra environments." Journal of Geophysical Research: Earth Surface, Vol. 123, No. 12, pp. 3190-3205.   DOI
19 Kang, M., Kwon, H., Kim, J., Kim, H.S., Ryu, Y., Lee, S.J., and Choi, T. (2018). "Korean flux monitoring network's past, present, and future." Korean Journal of Agricultural and Forest Meteorology, Vol. 20, No. 1, pp. 1-4.   DOI
20 Khan, M.S., Liaqat, U.W., Baik, J., and Choi, M. (2018). "Standalone uncertainty characterization of GLEAM, GLDAS and MOD16 evapotranspiration products using an extended triple collocation approach." Agricultural and Forest Meteorology, Vol. 252, pp. 256-268.   DOI
21 Kim, S., Jeong, J., Zohaib, M., and Choi, M. (2018). "Spatial disaggregation of ASCAT soil moisture under all sky condition using support vector machine." Stochastic Environmental Research and Risk Assessment, Vol. 32, No. 12, pp. 3455-3473.   DOI
22 Zeng, J., Li, Z., Chen, Q., Bi, H., Qiu, J., and Zou, P. (2015). "Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations." Remote Sensing of Environment, Vol. 163, pp. 91-110.   DOI
23 Fisher, J.B., Melton, F., Middleton, E., Hain, C., Anderson, M., Allen, R., McCabe, M.F., Hook, S., Baldocchi, D., Townsend, P.A., Kilic, A., Tu, K., Miralles, D.D., Perret, J., Lagouarde, J.P., Waliser, D., Purdy, A.J., French, A., Schimel, D., Famiglietti, J.S., Stephens, G., and Wood, E.F. (2017). "The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources." Water Resources Research, Vol. 53, No. 4, pp. 2618-2626.   DOI
24 Shuttleworth, W.J., and Wallace, J.S. (1985). "Evaporation from sparse crops-an energy combination theory." Quarterly Journal of the Royal Meteorological Society, Vol. 111, No. 469, pp. 839-855.   DOI
25 Song, S.H., and Choi, K.J. (2012). "An appropriate utilization of agricultural water resources of Jeju island with climate change (I)." Journal of Soil and Groundwater Environment, Vol. 17, No. 2, pp. 62-70.   DOI
26 Tang, R., Shao, K., Li, Z.L., Wu, H., Tang, B.H., Zhou, G., and Zhang, L. (2015). "Multiscale validation of the 8-day MOD16 evapotranspiration product using flux data collected in China." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, No. 4, pp. 1478-1486.   DOI
27 Wang, Y.J., Wang, S.D., Song, W.L., and Yang, S. (2013). "Application of GLDAS data to the potential evapotranspiration monitoring in Weihe River Basin." Journal of Arid Land Resources and Environment, Vol. 27, pp. 54-58.
28 Zohaib, M., Kim, H., and Choi, M. (2017). "Evaluating the patterns of spatiotemporal trends of root zone soil moisture in major climate regions in East Asia." Journal of Geophysical Research: Atmospheres, Vol. 122, No. 15, pp. 7705-7722.   DOI
29 Park, J., and Choi, M. (2015). "Estimation of evapotranspiration from ground-based meteorological data and global land data assimilation system (GLDAS)." Stochastic Environmental Research and Risk Assessment, Vol. 29, No. 8, pp. 1963-1992.   DOI
30 Allen, R.G., Dhungel, R., Dhungana, B., Huntington, J., Kilic, A., and Morton, C. (2021). "Conditioning point and gridded weather data under aridity conditions for calculation of reference evapotranspiration." Agricultural Water Management, Vol. 245, 106531.   DOI
31 Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H., Figa, J., and Anderson, C. (2007). "Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)." Geophysical Research Letters, Vol. 34, No. 20.
32 Mu, Q., Heinsch, F.A., Zhao, M., and Running, S.W. (2007). "Development of a global evapo-transpiration algorithm based on MODIS and global meteorology data." Remote Sensing of Environment, Vol. 111, No. 4, pp. 519-536.   DOI
33 Nguyen, H.H., Jeong, J., and Choi, M. (2019). "Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors." Journal of Hydrology, Vol. 571, pp. 679-696.   DOI
34 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, No. 4, pp. 3314-3329.   DOI
35 Mittelbach, H., Lehner, I., and Seneviratne, S.I. (2012). "Comparison of four soil moisture sensor types under field conditions in Switzerland." Journal of Hydrology, Vol. 430, pp. 39-49.   DOI
36 Alemayehu, T., Griensven, A.V., Senay, G.B., and Bauwens, W. (2017). "Evapotranspiration mapping in a heterogeneous landscape using remote sensing and global weather datasets: Application to the Mara Basin, East Africa." Remote Sensing, Vol. 9, No. 4, p. 390.   DOI
37 Herkelrath, W.N., Hamburg, S.P., and Murphy, F. (1991). "Automatic, real-time monitoring of soil moisture in a remote field area with time domain reflectometry." Water Resources Research, Vol. 27, No. 5, pp. 857-864.   DOI
38 Jeong, J., Cho, S., Baik, J., and Choi, M. (2018). "A study on the establishment of a Korean soil moisture network (2): Measurement of intermediate-scale soil moisture using a cosmic-ray sensor." Journal of the Korean Society of Hazard Mitigation, Vol. 18, No. 7, pp. 83-91.   DOI
39 Moshir, P.D., Sadeghi Tabas, S., Kalantari, Z., Ferreira, C.S.S., and Zahabiyoun, B. (2021). "Spatio-temporal assessment of global gridded evapotranspiration datasets across Iran." Remote Sensing, Vol. 13, No. 9, 1816.   DOI
40 Walker, J.P., Willgoose, G.R., and Kalma, J.D. (2001). "One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: A comparison of retrieval algorithms." Advances in Water Resources, Vol. 24, No. 6, pp. 631-650.   DOI
41 Yao, Y., Liang, S., Cheng, J., Liu, S., Fisher, J. B., Zhang, X., Jia, K., Zhao, X., Qin, Q., Zhao, B., Han, S., Zhou, G., Zhou, G., Li, Y. and Zhao, S. (2013). "MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm." Agricultural and Forest Meteorology, Vol. 171, pp. 187-202.   DOI