Estimation of evapotranspiration using a remote sensing model over agricultural land in the North China Plain

International Journal of Remote Sensing

Volumn 31, Issue 14, 2010, Pages 3783-3798

  Yang, Dawen ^a   He, Chen ^a   Lei, Huimin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; BOND (MASONRY); EVAPOTRANSPIRATION; INTERFACIAL ENERGY; LANDFORMS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; WATER SUPPLY;

IN-SITU MEASUREMENT; IRRIGATED CROPLAND; MAIZE GROWING SEASON; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; REMOTE SENSING DATA; REMOTE SENSING MODELS; SURFACE ENERGY BALANCE SYSTEMS; SURFACE ENERGY FLUXES;

HEAT FLUX;

AGRICULTURAL LAND; EDDY COVARIANCE; ENERGY BALANCE; ENERGY FLUX; ERROR ANALYSIS; EVAPOTRANSPIRATION; GROWING SEASON; HEAT FLUX; MODIS; NUMERICAL MODEL; REMOTE SENSING; SURFACE ENERGY;

CHINA; NORTH CHINA PLAIN;

TRITICUM AESTIVUM; ZEA MAYS;

EID: 77954354226     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.483492     Document Type: Article

References (46)

1. ALLEN, R.G., TASUMI, M. and TREZZA, L., 2007a, Satellite-based energy balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Model. Journal of Irrigation and Drainage Engineering-ASCE, 133, pp. 380-394.
2. ALLEN, R.G., TASUMI, M., MORSE, A., TREZZA, R., WRIGHT, J.L., BASTIAANSSEN, W., KRAMBER, W., LORITE, I. and ROBINSON, C.W., 2007b, Satellite-based energy balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Applications. Journal of Irrigation and Drainage Engineering-ASCE, 133, pp. 395-406.
3. BASTIAANSSEN, W.G.M., 2000, SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basen, Turkey. Journal of Hydrology, 229, pp. 87-100.
4. BASTIAANSSEN, W.G.M., MENENTI, 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, 212-213, pp. 198-212.
5. BROWN, K.W. and ROSENBERG, N.J., 1973., A resistance model to predict evapotranspiration and its application to a sugar beet field. Agronomy Journal, 65, pp. 341-347.
6. BRUTSAERT, W., 1975, On a derivable formula for long-wave radiation from clear skies. Water Resources Research, 11, pp. 742-744.
7. CAI, X., 2008, Water stress, water transfer and social equity in Northern China-Implications for policy reforms. Journal of Environmental Management, 87, pp. 14-25.
8. CHEHBOUNI, A., KERR, Y.H., WATTS, C., HARTOGENSIS, O., SCOTT, R., SCHIELDGE, J., LEE, K., SHUTTLEWORTH, W.J., DEDIEU, G. and DE BRUIN, H.A.R., 1999, Estimation of area-average sensible heat flux using a large-aperture scintillometer during the Semi-Arid Land-Surface-Atmosphere (SALSA) experiment. Water Resources Research, 35, pp. 2505-2511.
9. CHOUDHURY, B.J. and MONTEITH, J.L., 1988, A four-layers model for the heat budget of homogeneous land surfaces. Quarterly Journal of the Meteorological Society, 114, pp. 373-398.
10. CHOUDHURY, B.J., REGINATO, R.J. and IDSO, S.B., 1986, An analysis of infrared temperature observations over wheat and calculation of latent heat flux. Agriculture Forest Meteorology, 37, pp. 75-88.
11. DE BRUIN, H.A.R, KOSHIEK, W. and VAN DEN HURK, B.J.J.M., 1993, A verification of some methods to determine the fluxes of momentum, sensible heat and water vapor using standard deviation and structure parameter of scalar meteorological quantities. Boundary-Layer Meteorology, 63, pp. 231-257.
12. FOKEN, T., 2008, The energy balance closure problem: an overview. Ecological Applications, 18, pp. 1351-1367.
13. FRENCH, A.N., JACOB, F., ANDERSON, M.C., KUSTAS, W.P., TIMMERMANS, W., GIESKE, A., SU, Z., SU, H., MCCABE, M.F., LI, F., PRUEGER, J. and BRUNSELL, N., 2005, Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA). Remote Sensing of Environment, 99, pp. 55-65.
14. GLENN, E.P., HUETE, A.R., NAGLER, P.L., HIRSCHBOECK, K.K. and BROWN, P., 2007, Review: integrating remote sensing and ground methods to estimate evapotranspiration. Critical Reviews in Plant Science, 26, pp. 139-168.
15. GOWDA, P.H., CHAVEZ, J.L, COLAIZZI, P.D., EVETTE, S.R., HOWELL, T.A. and TOLK, J.A., 2008, ET mapping for agricultural water management: present status and challenges. Irrigation Science, 26, pp. 223-237.
16. HATFIELD, J.L., REGINATO, R.J. and IDSO, S.B., 1984, Evaluation of canopy temperature-evapotranspiration models over various crops. Agricultural and Forest Meteorology, 32, pp. 41-53.
17. HILL, R.J., 1992, Review of optical scintillation methods of measuring the refractive-index spectrum, inner scale and surface fluxes. Waves in Random Media, 2, pp. 179-201.
18. HOEDJES, J.C.B., CHEHBOUNI, A., EZZAHAR, Z., ESCADAFAL, R. and DE BRUIN, H.A.R., 2006, Comparison of large aperture scintillometer and eddy covariance measurements: can thermal infrared data be used to capture footprint-induced differences. Journal of Hydrometeorology, 8, pp. 144-159.
19. HUETE, A., DIDAN, K., MIURA, T., RODRIGUEZ, E.P., GAO, X. and FERREIRA, L.G., 2002, Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, pp. 195-213.
20. JACKSON, R.D., IDSO, S.B., REGINATO, R.J. and PINTER, P.J., 1981, Canopy temperature as a crop water-stress indicator. Water Resource Research, 17, pp. 1133-1138.
21. JIA, L., SU, Z., VAN DEN HURK, B., MENENTI, M., MOENE, A., DE BRUIN, H.A.R., YRISARRY, J.J.B., IBANEZ, M. and CUESTA, A., 2003, Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements. Physics and Chemistry of the Earth, 28, pp. 75-88.
22. LEI, H.M. and YANG, D.W., 2010, Seasonal and interannual variations in carbon dioxide exchange over a cropland in the North China Plain. Global Change Biology, doi: 10.1111/j. 1365-2486. 2009.02136.x.
23. LI, F., KUSTAS, W.P., PRUEGER, J.H., NEALE, C.M.U. and JACKSON, J.J., 2005a, Utility of remote sensing based two-source energy balance model under low and high vegetation cover conditions. Journal of Hydrometeorology, 6, pp. 878-891.
24. LI, L. and YU, Q., 2007, Quantifying the effects of advection on canopy energy budgets and water use efficiency in an irrigated wheat field in the North China Plain. Agricultural Water Management, 89, pp. 116-122.
25. LI, Z., YU, G., WEN, X. and ZHANG, L., 2005b, Energy balance closure at ChinaFLUX sites. Science in China Series D: Earth Sciences, 48, pp. 51-62.
26. LIANG, S., 2000, Narrowband to broadband conversions of land surface albedo I Algorithms. Remote Sensing of Environment, 76, pp. 213-238.
27. LOHEIDE II, S.P. and GORELICK, S.M., 2005, A local-scale, high-resolution evapotranspiration mapping algorithm (ETMA) with hydroecological applications at riparian meadow restoration sites. Remote Sensing of Environment, 98, pp. 182-200.
28. MCANENEY, K.J., GREEN, A.E. and ASTILL, M.S., 1995, Large-aperture scintillometry: the homogeneous case. Agricultural and Frost Meteorology, 76, pp. 149-162.
29. MENENTI, M. and CHOUDHURY, B.J., 1993, Parameterization of land surface evapotranspiration using a location-dependent potential evapotranspiration and surface temperature range. In Exchange Processes at the Land Surface for a Range of Space and Time Scales, H.J. Bolle, R.A. Feddes and J.D. Kalma, (Eds), pp. 561-568 (Wallingford, UK: IAHS publications).
30. NORMAN, J.M., KUSTAS, W.P. and HUMES, K.S., 1995, Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agricultural and Forest Meteorology, 77, pp. 263-293.
31. ROERINK, G.J., SU Z. and MENENTI M., 2000, S-SEBI: a simple remote sensing algorithm to estimate the surface energy balance. Physical and Chemistry Earth (B), 25, pp. 145-157.
32. SÁNCHEZ, J.M., KUSTAS, W.P., CASELLES, V. and ANDERSON, M.C., 2008, Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations. Remote Sensing of Environment, 112, 1130-1143.
33. SHAW, R.H. and PEREIRA, A.R., 1982, Aerodynamic roughness of a plant canopy: a numerical experiment. Agriculture Forest Meteorology, 26, pp. 51-65.
34. SHUTTLEWORTH, W.J. and WALLACE, J.S., 1985, Evaporation from sparse crops-an energy combination theory. Quarterly Journal of the Meteorological Society, 111, pp. 839-855.
35. SU Z., 2002, The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 6, pp. 85-99.
36. SU, Z., SCHMUGGE, T., KUSTAS W.P. and MASSMAN, W.J., 2001, An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere. Journal of Applied Meteorology, 40, pp. 1933-1951.
37. TIMMERMANS, W.J., VAN DER KWAST, J., GIESKE, A.S.M., SU, Z., OLIOSO, A., JIA, L. and ELBERS, J., 2005, Intercomparison of energy flux models using ASTER imagery at the SPARC 2004 site (BARRAX, Spain). In ESA Proceeding WPP-250, SPARC Final Workshop, 4-5 July 2005, (Enschede, The Netherlands: International Institute for Geo-Information Science and Earth Observation).
38. TIMMERMANS, W.J., KUSTAS, W.P., ANDERSON, M.C. and FRENCH, A.N., 2007, An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sensing of Environment, 108, pp. 369-384.
39. TWINE, T.E., KUSTAS, W.P., NORMAN, J.M., COOK, D.R., HOUSER, P.R., MEYERS, T.P., PRUEGER, J.H., STARKS, P.J. and WESELY, M.L., 2000, Correcting eddy-covariance flux underestimates over a grassland. Agricultural and Forest Meteorology, 103, pp. 279-300.
40. VAN DER KWAST, J., TIMMERMANS, W., GIESKE, A., SU, J., OLIOSO, A., JIA, L., ELBERS, J., KARSSENBERG, D. and DE JONG, S., 2009, Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain). Hydrology and Earth System Sciences, 13, pp. 1337-1347.
41. VON RANDOW, C., KRUIJT, B., HOLTSLAG, A.A.M. and DE OLIVEIRA, M.B.L., 2008, Exploring eddy-covariance and large-aperture scintillometer measurements in an Amazonian rain forest. Agricultural and Forest Meteorology, 148, pp. 680-690.
42. WANG, E.L., YU, Q., WU, D. and XIA, J., 2008, Climate, agricultural production and hydrological balance in the North China Plain. International Journal of Climatology, 28, pp. 1959-1970.
43. WILSON, K., GOLDSTEIN, A., FALGE, E., AUBINET, M., BALDOCCHI, D., BERBIGIER, P., BERNHOFER, C., CEULEMANS, R., DOLMAN, H., FIELD, C., GRELLE, A., IBROM, A., LAW, B.E., KOWALSKI, A., MEYERS, T., MONCRIEFF, J., MONSON, R., OECHEL, W., TENHUNEN, J., VALENTINI, R. and VERNA, S., 2002, Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 113, pp. 223-243.
44. YANG, D., LI, C., HU, H., LEI, Z., YANG, S., KUSUDA, T., KOIKE, T. and MUSIAKE, K., 2004, Analysis of water resources variability in the Yellow River of China during the last half century using historical data. Water Resources Research, 40, W06502, doi: 10.1029/ 2003WR002763.
45. YI, Y., YANG, D., HUANG, J. and CHEN, D., 2008, Evaluation of MODIS surface reflectance products for wheat leaf area index (LAI) retrieval. ISPRS Journal of Photogrammetry and Remote Sensing, 63, pp. 661-677.
46. ZHANG, X., PEI, D. and HU, C., 2003, Conserving groundwater for irrigation in the North China Plain. Irrigation Science, 21, pp. 159-166.