Hourly evapotranspiration derived from NOAA-AVHRR visible and GOES-IMAGER thermal infrared data

International Journal of Remote Sensing

Volumn 31, Issue 11, 2010, Pages 2817-2836

  Han, Kyung Soo ^a   Viau, Alain A ^b   Anctil, François ^b  

^a Pukyong National University   (South Korea)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BUDGET CONTROL; ERRORS; EVAPOTRANSPIRATION; GEOSTATIONARY SATELLITES; PARAMETER ESTIMATION; REMOTE SENSING; SURFACE ROUGHNESS; WIND;

ACTUAL EVAPOTRANSPIRATION; EMPIRICAL COEFFICIENTS; METEOROLOGICAL PARAMETERS; METEOROLOGICAL STATION; ROOT-MEAN-SQUARE ERRORS; SUN-SYNCHRONOUS SATELLITE; SURFACE ROUGHNESS LENGTH; TEMPORAL DISTRIBUTION;

ATMOSPHERIC TEMPERATURE;

AIR TEMPERATURE; AVHRR; ENERGY BUDGET; EVAPOTRANSPIRATION; GOES; NET RADIATION; NOAA SATELLITE; NUMERICAL MODEL; REGRESSION ANALYSIS; REMOTE SENSING; SURFACE ENERGY; SURFACE ROUGHNESS; SURFACE TEMPERATURE; TEMPORAL DISTRIBUTION;

EID: 77954682016     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160903111051     Document Type: Article

References (50)

1. 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 (Rome: Food and Agriculture Organization of the United Nations).
2. ARNOLD, J.G., WILLIAMS, J.R., SRINIVASAN, R. and KING, K.W., 1998, SWAT (Soil and Water Assessment Tool): Model Theory: SWAT 98.1 Manual (Texas: USDA Agricultural Research Service).
3. 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.
4. BUSSIÈRES, N. and LOUIE, P.Y.T., 1989, Implementation of an Algorithm to Estimate Regional Evapotranspiration Using Satellite Data (Downsview: Environmental Canada).
5. CARLSON, T.N. and BUFFUM, M.J., 1989, On estimating total daily evapotranspiration from remote surface temperature measurement. Remote Sensing of Environment, 29, pp. 197-207.
6. CHOUDHURY, B.J., AHMED, N.U., IDSO, S.B., REGINATO, R.J. and DAUGHTRY, C.S.T., 1994, Relations between evaporation coefficients and vegetation indices studied by model simulations. Remote Sensing of Environment, 50, pp. 1-17.
7. CHOUDHURY, B.J., IDSO, S.B. and REGINATO, R.J., 1987, Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infraredtemperature base energy balance equation. Agricultural and Forest Meteorology, 39, pp. 283-297.
8. CIHLAR, J., LY, H., LI, Z., CHEN, J., POKRANT, H. and HUANG, F., 1997, Multitemporal, multichannel AVHRR data sets for land biosphere studies-artifacts and corrections. Remote Sensing of Environment, 60, pp. 35-57.
9. CNRM, 2001, Ecoclimap (Paris, France: Centre National de Recherches Météorologiques, Meteo-France).
10. CULF, A.D., 1994, Equilibrium evaporation beneath a growing convective boundary layer. Boundary-Layer Meteorology, 70, pp. 37-49.
11. DE BRUIN, H.A.R. and KEIJMAN, J.Q., 1979, The Priestley-Taylor evaporation model applied to a large, shallow lake in the Netherlands. Journal of Applied Meteorology, 18, pp. 898-903.
12. EICHINGER, W.E., PARLANGE, M.B. and STRICKER, H., 1996, On the concept of equilibrium evaporation and the value of the Priestley-Taylor parameter coefficient. Water Resources Research, 32, pp. 161-164.
13. GUTMAN, G., TARPLEY, D. and OHRING, G., 1987, Cloud screening for determination of land surface characteristics in a reduced resolution satellite data set. International Journal of Remote Sensing, 8, pp. 859-870.
14. HAN, K.S., VIAU, A.A. and ANCTIL, F., 2003, High-resolution forest fire weather index computations using satellite remote sensing. Canadian Journal of Forest Research, 33, pp. 1134-1143.
15. HAN, K.S., VIAU, A.A. and ANCTIL, F., 2004, An analysis of GOES and NOAA derived land surface temperatures estimated over a boreal forest. International Journal of Remote Sensing, 25, pp. 4761-4780.
16. JACKSON, R.D., REGINATO, R.J. and IDSO, S.B., 1977, Wheat canopy temperature: a practical tool for evaluating water requirements. Water Resources Research, 13, pp. 651-656.
17. JARVIS, S.S. and MCNAUGHTON, K.G., 1986, Stomatal control of transpiration: scaling up from leaf to region. Advances in Ecological Research, 15, pp. 1-49.
18. JENSEN, M.E., BURMAN, R.D. and ALLEN, R.G., 1990, Evapotranspiration and Irrigation Water Requirements: ASCE Manuals and Reports on Engineering Practice (Reston, VA: American Society of Civil Engineers).
19. KIM, C.P. and ENTEKHABI, D., 1997, Examination of two methods for estimating regional evaporation using a coupled mixed layer and land surface model. Water Resources Research, 33, pp. 2109-2116.
20. KOUWEN, N., 2006. WATFLOOD/SPL9 User's Manual: Hydrological Model and Flood Forecasting System (Downsview: Environment Canada).
21. KUSTAS, W.P., DAUGHTRY, C.S.T. and VAN OEVELEN, P.J., 1993, Analytical treatment of the relationships between soil heat flux/net radiation ratio and vegetation indices. Remote Sensing of Environment, 46, pp. 319-330.
22. KUSTAS, W.P. and JACKSON, T.J., 1999, The impact on area-averaged heat fluxes from using remotely sensed data at different resolution: a case study with Washita'92 data. Water Resources Research, 35, pp. 1539-1550.
23. LI, F. and LYONS, T.J., 1998, Estimation of regional evapotranspiration through remote sensing. Journal of Applied Meteorology, 38, pp. 1644-1654.
24. MASSON, V., CHAMPEAUX, J.L., CHAUVIN, F., MERIGUET, C. and LACAZE, R., 2003, A global database of land surface parameters at 1 km resolution in meteorological and climate models. Journal of Climate, 16, pp. 1261-1282.
25. MCNAUGHTON, K.G. and BLACK, T.A., 1973, A study of evapotranspiration from a Douglas Fir forest using the energy balance approach. Water Resources Research, 9, pp. 1579-1590.
26. MONTEITH, J.L., 1965, Evaporation and environment. In The State and Movement of Water in Living Organisms, Society of Experimental Biologists, (Ed.), pp. 205-233 (London: Cambridge University Press).
27. MONTEITH, J.L. and UNSWORTH, M.H., 1990, Principles of Environmental Physics (London: Chapman and Hall).
28. MORAN, M.S. and JACKSON, R.D., 1991, Assessing the spatial distribution of evapotranspiration remotely sensed inputs. Journal Environmental Quality, 20, pp. 725-737.
29. MORAN, M.S., JACKSON, R.D., RAYMOND, L.H., GAY, L.W. and SLATER, P.N., 1989, Mapping surface energy balance components by combining Landsat Thematic Mapper and ground-based meteorological data. Remote Sensing of Environment, 30, pp. 77-87.
30. NIEMEYER, S., 2000, Modelling the surface energy balance on the regional scale with remote sensing and meteorological network data: A case study in Sicily, PhD thesis, Joint Research Centre, Ispra, Italy.
31. PENMAN, H.L., 1948, Natural evaporation from open water, bare soil, and grass. Proceedings of the Royal Society of London-Series A, 193, pp. 120-145.
32. PRIESTLEY, C.H.B. and TAYLOR, R.J., 1972, On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review, 100, pp. 81-92.
33. PRIHODKO, L. and GOWARD, S. N., 1997, Estimation of air temperature from remotely sensed surface observation. Remote Sensing of Environment, 60, pp. 335-346.
34. SAUNDERS, R.W., 1990, The determination of broad surface albedo from AVHRR visible and near-infrared radiances. International Journal of Remote Sensing, 11, pp. 49-67.
35. SAUNDERS, R.W. and KRIEBEL, K.T., 1988, An improved method fordetecting clear sky and cloudy radiances from AVHRR data. International Journal of Remote Sensing, 9, pp. 123-150.
36. SEGUIN, B. and ITIER, B., 1983, Using midday surface temperature to estimate daily evaporation from satellite thermal IR data. International Journal of Remote Sensing, 4, pp. 371-383.
37. SHUTTLEWORTH, W.J. and WALLACE, J.S., 1985, Evaporation from sparse crops-an energy combination theory. Quarterly Journal of the Royal Meteorological Society, 111, pp. 839-855.
38. SINGH, B. and TAILEFER, R., 1986, The effect of synoptic-scale advection on the performance of the Priestley-Taylor evaporation formula. Boundary-Layer Meteorology, 36, pp. 267-282.
39. STANNARD, D.I., 1993, Comparison of Penman-Monteith, Shuttleworth-Wallace, and modified Priestley-Taylor Evapotranspiration models for wildland vegetation in semiarid rangeland. Water Resources Research, 29, pp. 1379-1392.
40. STEINER, J.L., HOWELL, T.A. and SCHNEIR, A.D., 1991, Lysimetric evaluation of daily potential evapotranspiration models for grain sorghum. Agronomy Journal, 83, pp. 240-247.
41. STEWART, J.B., 1977, Evaporation from the wet canopy of a pine forest. Water Resources Research, 13, pp. 915-921.
42. STEWART, J.B. and THOM, A.S., 1973, Energy budgets in pine forest. Quarterly Journal of the Royal Meteorological Society, 99, pp. 145-170.
43. SUGITA, M. and BRUTSAERT, W., 1991, Daily evaporation over a region from lower boundary layer profiles measured with radiosondes. Water Resources Research, 27, pp. 747-752.
44. THOMPSON, J.R., 1975, Energy budgets for three small plots-substantiation of Priestley-Taylor's large-scale evaporation parameter. Journal of Applied Meteorology, 14, pp. 1399-1401.
45. TUCKER, C.J., 1979, Red and photographic infrared linear combinations monitoring. Remote Sensing of Environment, 8, pp. 127-150.
46. ULIVIERI, C., CASTRONOUVO, M.M., FRANCIONI, R. and CARDILLO, A., 1994, A split-window algorithm for estimating land surface temperature from satellites. Advances in Space Research, 14, pp. 59-65.
47. VÁZQUEZ, D.P., REYES, F.J.O. and ARBOLEDAS, L.A., 1997, A comparative study of algorithms for estimating land surface temperature from AVHRR. Remote Sensing of Environment, 62, pp. 215-222.
48. VIAU, A.A., VOGT, J.V. and PAQUET, F., 1996, Regionalisation and mapping of air temperature fields using NOAA AVHRR imagery. In Actes du 9e Congrés de l'Association Québécoise de Télédétection (AQT): La Télédétection au sein de la Géomatique, 30 April-3 May 1996, Québec, Canada (CD-ROM).
49. VISWANADHAM, Y., FILHO, V.P.S. and ANDRE, R.G.B., 1991, The Priestley-Taylor parameter a for the Amazon forest. Forest Ecology and Management, 38, pp. 211-225.
50. VOGT, J.V., VIAU, A.A. and PAQUET, F., 1997, Mapping regional air temperature fields using satellite-derived surface skin temperatures. International Journal of Remote Sensing, 17, pp. 1559-1579.