Browse > Article
http://dx.doi.org/10.7780/kjrs.2012.28.4.7

Estimation of Satellite-based Spatial Evapotranspiration and Validation of Fluxtower Measurements by Eddy Covariance Method  

Sur, Chan-Yang (Department of Civil engineering, Hanyang University)
Han, Seung-Jae (Department of Civil engineering, Hanyang University)
Lee, Jung-Hoon (Hydrological Survey Center)
Choi, Min-Ha (Department of Civil engineering, Hanyang University)
Publication Information
Korean Journal of Remote Sensing / v.28, no.4, 2012 , pp. 435-448 More about this Journal
Abstract
Evapotranspiration (ET) including evaporation from a land surface and transpiration from photosynthesis of vegetation is a sensitive hydrological factor with outer circumstances. Though both direct measurements with an evaporation pan and a lysimeter, and empirical methods using eddy covariance technique and the Bowen ratio have been widely used to observe ET accurately, they have a limitation that the observation can stand for the exact site, not for an area. In this study, remote sensing technique is adopted to compensate the limitation of ground observation using the Moderate Resolution Imaging Spectroradiometer (MODIS) multispectral sensor mounted on Terra satellite. We improved to evapotranspiration model based on remote sensing (Mu et al., 2007) and estimated Penman-Monteith evapotranspiration considering regional characteristics of Korea that was using only MODIS product. We validated evapotranspiration of Sulma (SMK)/Cheongmi (CFK) flux tower observation and calculation. The results showed high correlation coefficient as 0.69 and 0.74.
Keywords
Evapotranspiration; Eddy covariance technique; MODIS; Penman-Monteith algorithm; RS-PM; Remote Sensing;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 MODIS website(http://modis.gsfc.nasa.gov/)
2 NASA, 1999, The Earth Science Enterprise website (http://www.earth.nasa.gov/)
3 United States Geological Survey(USGS) website (http://www.usgs.gov/)
4 권효정, 이정훈, 이연길, 이진원, 정성원, 김준, 2009. 설마천 유역의 혼효림에서 관측된 증발산의 계절변화, 한국농림기상학회지, 11(1): 39-47.   과학기술학회마을   DOI
5 김형수, 2010. 설마천 유역의 증발산량 산정, 인하대학교.
6 박성빈, 2009. 복사 결합된 Penman-Moneith 복합방정식에 근거한 한반도 산림과 농경지의 증발산에 관한 이해. 연세대학교.
7 이희춘, 이방용, 김준, 심재설, 2004. 이어도 해양과학기지에서의 에디 공분산 방법을 이용한 플럭스 관측, Ocean and Polar Research, 26(2): 145-154.   DOI
8 정승택, 장근창, 강신규, 김준, H. Kondo, M. Gamo, J. Asanuma, N. Saigusa, S. Wang, S. Han, 2009. 동아시아 지역의 플럭스 타워 관측지에 대한 MODIS 위성영상 기반의 증발산 평가, 한국농림기상학회지, 11(4): 174-184.   과학기술학회마을   DOI   ScienceOn
9 최민하, 황교택, 김태웅, 2011. Landsat 인공위성 이미지를 이용한 경안천 유역 증발산의 생장기와 휴면기 분포 특성 분석, 한국토목학회논문집, 31(1B): 29-36.
10 허유미, 최민하, 2011. 해남 플럭스 타워 지점에서의 Advanced Microwave Scanning Radiometer E 토양수분자료의 검증, 대한원격탐사학회지, 27(2): 131-140.   과학기술학회마을   DOI
11 홍진규, 이희춘, 김준, 김백조, 조천호, 이성주, 2003. FK KoFlux 관측지에서의 지역 규모 열 플럭스의 추정: 타워 관측에서 MM5 중규모 모형까지, 한국농림기상학회지, 5(2): 138-149.   과학기술학회마을
12 Allen, R.G., I.A. Walter, R.L. Elliott, T.A. Howell, D. Itenfisu, M.E. Jensen, and R.L. Snyder, 2005. The ASCE standardized reference evapotranspiration equation, American Society of Civil Engineers, Reston, V.A.
13 IPCC, 2007. Climate Change 2007: The Physical Scientific Basis, Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Clamate Change, Summary for Policymakers. Cambridge University Press, Cambridge, UK, pp. 996.
14 Goulden, M.L., S.C. Wofsy, J.W. Harden, S.E. Trumbore, P.M. Crill, S.T. Gower, T. Fries, B.C. Daube, S.M. Fan, D.J. Sutton, A. Bazzaz, and J.W. Munger, 1998. Sensitivity of boreal forest carbon balance to soil thaw, Science, 279: 214-217.   DOI
15 Huete, A., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira, 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83: 195-213.   DOI   ScienceOn
16 Huete, A.R., K. Didan, Y.E. Shimabukuro, P. Ratana, S.R. Saleska, L.R. Hutyra, W. Yang, R.R. Nemani, and R. Myneni, 2006. Amazon rainforests green-up with sunlight in dry season, Geophysical Research Letters, 33.
17 Jang, K., S. Kang, H. Kim, and H. Kwon, 2009. Evaluation of shortwave irradiance and evapotranspiration derived from moderate resolution imaging spectroradiometer (MODIS), Asia-Pacific Journal of Atmospheric Sciences, 45: 233-246.
18 Jarvis, P.G., 1976. The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philos, Trans. R. Soc. London, 273: 593-610.   DOI
19 Jones, H.G., 1992. Plants and Microclimate: A Quantitative Approach to Environmental Plant Physiology.
20 Karma, J.D., T.R. McVicar, and M.F. McCabe, 2008. Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surveys in Geophysics, 29: 421-469.   DOI
21 Kawamitsu, Y., S. Yoda, and W. Agata, 1993. Humidity pretreatment affects the responses of stomata and CO2 assimilation to vapor pressure difference in C3 and C4 plants, Plant and Cell Physiology, 34: 113-119.
22 Leuning, R., 1995. A critical appraisal of a combined stomatal-photosynthesis model for C3 plants, Plant, Cell and Environment, 18: 339-355.   DOI
23 Kim, J., D. Lee, J. Hong, S. Kang, S.J. Kim, S.K. Moon, J.H. Lim, Y. Son, J. Lee, S. Kim, N. Woo, K. Kim, B. Lee, and B.L. Lee, 2006. HydroKorea and CarboKorea: Cross-scale studies of ecohydrology and biogeochemistry in a heterogeneous and complex forest catchment of Korea, Ecological Research, 21: 881-889.   DOI   ScienceOn
24 Korea Institute of Construction Technology, 2006. Operation and research on the hydrological characteristics of the experimental catchment. Korea Institute of Construction Technology 2006-062, 182.
25 Landsberg, J.J. and S.T. Gower, 1997. Applications of Physiological Ecology to Forest Management. San Diego, CA: Academic Press.
26 Marsden, B.J., V.J. Lieffers, and J.J. Zwiazek, 1996. The effect of humidity on photosynthesis and water relations of white spruce seedlings during the early establishment phase, Canadian Journal of Forest Research, 26: 1015- 1021.   DOI
27 Misson, L., J.A. Panek, and A.H. Goldstein, 2004. A comparison of three approaches to modeling leaf gas exchange in annually droughtstressed ponderosa pine forests, Tree Physiology, 24: 529-541.   DOI
28 Mu, Q., F.A. Heinsch, M. Zaho, and S.W. Running, 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sensing of Environment, 111: 519-536.   DOI   ScienceOn
29 Oren, R., J.S. Sperry, G.G. Katul, D.E. Pataki, B.E. Ewers, N. Phillips, and K.V.R. Schafer, 1999. Survey and synthesis of intra- and interspecific variation in stomatal sensitivity to vapour pressure deficit, Plant, Cell and Environment, 22: 1515-1526.   DOI
30 Sandford, A.P., and P.G. Jarvis, 1986. Stomatal responses to humidity in selected conifers, Tree Physiology, 2: 89-103.   DOI
31 Schulze, E.D., F.M. Kelliher, C. Korner, J. Lloyd, and R. Leuning, 1994. Relationships among maximum stomatal conductance, ecosystem surface conductance, carbon assimilation rate, and plant nitrogen nutrition: A global ecology scaling exercise, Annual Review of Ecology and Systematics, 25: 629-660.   DOI
32 Sumner, D.M. and J.M. Jacobs, 2005. Utility of Penman-Monteith, Priestley-Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration, Journal of Hydrology, 308:81-104.   DOI
33 Twine, T.E., W.P. Kustas, J.M. Norman, D.R. Cook, P.R. Houser, T.P. Meyers, J.H. Prueger, P.J. Starks, and M.L. Wesely, 2000. Correcting eddy-covariance flux underestimates over grassland, Agricultural Forest and Meteorology, 103: 279-300.   DOI   ScienceOn
34 Van De Griend, A.A. and M. Owe, 1994. Bare soil surface resistance to evaporation by vapor diffusion under semiarid conditions, Water Resources Research, 30: 181-188.   DOI   ScienceOn
35 Wallace J.S. and C.J. Holwill, 1997. Soil evaporation from tiger-bush in south-west Niger, Journal of Hydrology, 188-189: 443-452.   DOI
36 Xu, L. and D. Baldocchi, 2002. Seasonal variations in Carbon, water and energy fluxes in an Oak/Grass Savanna and in Photosynthetic Capacity of Oak Leaf in California, American Geophysical Union, Fall Meeting 2002.
37 Choi, M., J.M. Jacobs, and W.P. Kustas, 2008. Assessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over different land surfaces in Florida, USA, Geophysical Research Letters, 35.
38 Allen, R.G., M. Tasumi, and R. Trezza, 2007a. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model, Journal of Irrigation and Drainage Engineering, American Society of Civil Engineers, 133(4): 380-394.   DOI
39 Allen, R.G., M. Tasumi, A. Morse, R. Trezza, J.L. Wright, W. Bastiaanssen, W. Kramber, I. Lorite, and C.W. Robison, 2007b. Satellitebased energy balance for mapping evapotranspiration with internalized calibration (METRIC)-applications, Journal of Irrigation and Drainage Engineering, American Society of Civil Engineers, 133(4): 395-406.   DOI
40 Brutsaert, W., 1975. On a derivable formula for longwave radiation from clear skies, Water Resources Research, 11: 742-744.   DOI
41 Choi, M., W.P. Kustas, M.C. Anderson, R.G. Allen, F. Li, and J.H. Kjaersgaard, 2009. An intercomparison of three remote sensingbased surface energy balance algorithms over a corn and soybean production region(IOWA, U.S.) during SMACEX, Agricultural and Forest Meteorology, 149(12): 2082-2097.   DOI
42 Cleugh, H.A., R. Leuning, Q. Mu, and S.W. Running, 2007. Regional evaporation estimaters from flux tower and MODIS satellite data, Remote Sensing of Environment, 106: 285-304.   DOI   ScienceOn
43 Dang, Q.L., H.A. Margolis, M.R. Coyea, M. Sy, and G.J. Collatz, 1997. Regulation of branch-level gas exchange of boreal trees: Roles of shoot water potential and vapor pressure difference, Tree Physiology, 17: 521-535.   DOI