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http://dx.doi.org/10.12652/Ksce.2011.31.1B.029

Characteristics of Greenup and Senescence for Evapotranspiration in Gyeongan Watershed Using Landsat Imagery  

Choi, Minha (한양대학교 공과대학 건설환경공학과)
Hwang, Kyotaek (한양대학교 공과대학 건설환경공학과)
Kim, Tae-Woong (한양대학교 공과대학 건설환경공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.1B, 2011 , pp. 29-36 More about this Journal
Abstract
Evapotranspiration (ET) from the various surfaces needs to be understood because it is a crucial hydrological factor to grasp interaction between the land surface and the atmosphere. A traditional way of estimating it, which is calculating it empirically using lysimeter and pan evaporation observations, has a limitation that the measurements represent only point values. However, these measurements cannot describe ET because it is easily affected by outer circumstances. Thus, remote sensing technology was applied to estimate spatial distribution of ET. In this study, we estimated major components of energy balance method (i.e. net radiation flux, soil heat flux, sensible heat flux, and latent heat flux) and ET as a map using Mapping Evapo-Transpiration with Internalized Calibration (METRIC) satellite-based image processing model. This model was run using Landsat imagery of Gyeongan watershed in Korea on Feb 1, 2003 and Sep 13, 2006. Basic statistical analyses were also conducted. The estimated mean daily ETs had respectively 22% and 11% of errors with pan evaporation data acquired from the Suwon Weather Station. This result represented similar distribution compared with previous studies and confirmed that the METRIC algorithm had high reliability in the watershed. In addition, ET distribution of each land use type was separately examined. As a result, it was identified that vegetation density had dominant impacts on distribution of ET. Seasonally, ET in a growing season represented significantly higher than in a dormant season due to more active transpiration. The ET maps will be useful to analyze how ET behaves along with the circumstantial conditions; land cover classification, vegetation density, elevation, topography.
Keywords
Evapotranspiration; Energy Balance; Landsat; METRIC; Remote Sensing;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 기상청 홈페이지. http://www.kma.go.kr/
2 박종윤, 이미선, 이용준, 김성준(2008) SWAT 모형을 이용한 미래 토지이용변화가 수문 - 수질에 미치는 영향 분석. 대한토목학회논문집, 대한토목학회, 제28권, 제2B호, pp. 187-197.
3 유진웅(2003) SEBAL 모형을 이용한 증발산량의 추정. 석사학위논문, 서울대학교.
4 채효석(1998) Landsat TM 자료를 이용한 광역 증발산량 추정. 박사학위논문, 전북대학교
5 최원호, 최민하, 오현제, 박주양(2010) Reference Evapotranspiration Calculator Software를 이용한 기상관측소 기준증발산 추정. 대한토목학회논문집, 대한토목학회, 제30권, 제2B호, pp. 219-231.
6 하림, 신형진, 이미선, 김성준(2010) 위성영상과 SEBAL 모형을 이용한 공간증발산량 산정 연구. 대한토목학회논문집, 대한토목학회, 제30권, 제3B호, pp. 233-242.
7 Allen, R.G., Morse, A., Tasumi, M., Trezza, R., Bastiaanssen, W., Wright, J.L., and Kramber, W. (2002) Evapotranspiration from a satellite-based surface energy balance for the snake plain aquifer in idaho. Proceedings of the United States Committee on Irrigation, Drainage and Flood Control(USCID) Conference, USCID, Denver, C.O.
8 Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. (1998) Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations(UN FAO), Rome.
9 Allen, R.G., Pruitt, W.O., Businger, J.A., Fritschen, L.J., Jensen, M.E., and Quinn, F.H. (1996) Evaporation and transpiration. Hydrology Handbook, Edited by Wootton et al., American Society of Civil Engineers, New York, NY, pp. 125-252.
10 Allen, R.G., Tasumi, M., Morse, A., Trezza, R., Wright, J.L., Bastiaanssen, W., Kramber, W., Lorite, I., and Robison, C.W. (2007b) Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration(METRIC)-Applications. Journal of Irrigation and Drainage Engineering, ASCE, Vol. 133, No. 4, pp. 395-406.   DOI   ScienceOn
11 Allen, R.G., Tasumi, M., and Trezza, R. (2007a) Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration( METRIC)-Model. Journal of Irrigation and Drainage Engineering, ASCE, Vol. 133, No. 4, pp. 380-394.   DOI   ScienceOn
12 Allen, R.G., Walter, I.A., Elliott, R.L., Howell, T.A., Itenfisu, D., Jensen, M.E., and Snyder, R.L. (2005) The ASCE standardized reference evapotranspiration equation. American Society of Civil Engineers, Reston, V.A.
13 Bastiaanssen, W.G..M. (1995) Regionalization of surface flux densities and moisture indicators in composite terrain: A remote sensing approach under clear skies in Mediterranean climates. Ph.D. dissertation, CIP Data Koninklijke Bibliotheek, Den Haag, the Netherlands.
14 Bastiaanssen, W.G.M., Meneti, M., Feddes, R.A., and Holtslag, A.A.M. (1998) A remote sensing surface energy balance algorithm for land(SEBAL): 1. Formulation. Journal of Hydrology, Vol. 212-213, pp. 198-212.   DOI
15 Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrum, H., Davids, G., and Allen, R.G. (2005) SEBAL for spatially distributed ET under actual management and growing conditions, ASCE Journal of Irrigation and Drainage Engineering, Vol. 131, No. 1, pp. 85-93.   DOI   ScienceOn
16 Choi, M., Kustas, W.P., Anderson, M.C., Allen, R.G., Li, F., and Kjaersgaard, J.H. (2009) An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region(Iowa, U.S.) during SMACEX. Agricultural and Forest Meteorology, Vol. 149, pp. 2082-2097.   DOI   ScienceOn
17 Grimmond, C.S.B. and Oke, T.R. (1991) An Evapotranspirationinterception model for urban areas. Water Resources Research, Vol. 27, pp. 1739-1755.   DOI
18 Kustas, W.P., Anderson, M.C., Norman, J.M., and Li, F. (2007) Utility of radiometric-aerodynamic temperature relations for heat flux estimation. Boundary-Layer Meteorology, Vol. 122, pp. 167-187.   DOI   ScienceOn
19 Jensen, J.R. (1996) Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall, Upper Saddle River, NJ.
20 Jiang, L. and Islam, S. (2001) Estimation of surface evaporation map over Southern Great Plains using remote sensing data. Water Resources Research, Vol. 37, No. 2, pp. 329-340.   DOI   ScienceOn
21 Kustas, W.P. and Norman, J.M. (1999) Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agricultural and Forest Meteorology, Vol. 94, pp. 13-29.   DOI   ScienceOn
22 Markham, B.L., Storey, J.C., Williams, D.L., and Irons, J.R. (2004) Landsat Sensor Performance: History and Current Status. IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 12, pp. 2691-2694.   DOI
23 United States Geological Survey (USGS) website. http://www.usgs.gov/