Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign

Advances in Water Resources

Volumn 50, Issue , 2012, Pages 134-151

  Anderson, Martha C ^a   Kustas, William P ^a   Alfieri, Joseph G ^a   Gao, Feng ^a   Hain, Christopher ^b   Prueger, John H ^c   Evett, Steven ^d   Colaizzi, Paul ^d   Howell, Terry ^d   Chávez, José L ^e  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

^d Agriculture Research Service   (United States)

^e Engineering Research Center and Hydraulics Laboratory   (United States)

Author keywords

Evapotranspiration; Land surface temperature; Remote sensing; Thermal

Indexed keywords

AGRICULTURAL AREAS; AGRICULTURAL REMOTE SENSING; ARID CLIMATES; DAILY EVAPOTRANSPIRATIONS; DISAGGREGATION TECHNIQUES; EDDY COVARIANCE; ENVIRONMENTAL WATER; FIELD CAMPAIGN; FIELD SCALE; FLUX MEASUREMENTS; FRESH WATER RESOURCES; GAP FILLING; GROUND MEASUREMENTS; GROUNDWATER SUPPLY; GROWING PERIOD; GROWING SEASON; INDUSTRIAL USE; IRRIGATED AGRICULTURE; IRRIGATED FIELDS; LAND SURFACE TEMPERATURE; LANDSAT; MESOSCALE MODEL; METEOROLOGICAL FIELDS; MODERATE RESOLUTION; RAINFED; SATELLITE DATA; SOIL TEXTURES; SPATIAL INFORMATIONS; SPATIAL RESOLUTION; SPATIAL SCALE; THERMAL; THERMAL IMAGERY; WATERRESOURCE MANAGEMENT;

AGRICULTURE; ALGORITHMS; ATMOSPHERIC TEMPERATURE; ENERGY BALANCE; EVAPOTRANSPIRATION; GROUNDWATER; GROUNDWATER RESOURCES; INDUSTRIAL APPLICATIONS; INTERFACIAL ENERGY; RAIN; REMOTE SENSING; SATELLITE IMAGERY; SOIL SURVEYS; SURFACE PROPERTIES; WATER MANAGEMENT; WATER SUPPLY;

INFORMATION MANAGEMENT;

ALGORITHM; ARID ENVIRONMENT; EDDY COVARIANCE; ENERGY BALANCE; EVAPOTRANSPIRATION; IRRIGATION; LANDSAT; MAPPING; RAINFED AGRICULTURE; SATELLITE DATA; SOIL TEXTURE; SPATIAL ANALYSIS; SPATIAL RESOLUTION; SURFACE ENERGY; TIME SERIES; WATER MANAGEMENT; WATER USE;

EID: 84870421895     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2012.06.005     Document Type: Article

References (66)

1. Anderson MC, RG Allen, A Morse, WP Kustas. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens Environ, 2012, in press.
2. Allen RG, Tasumi M, Morse A, Trezza R, Wright JL, Bastiaanssen WGM, et al. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - applications. ASCE J Irrig Drainage Eng 2007;133:395-406.
3. Morse A, Kramber WJ, Allen RG. Preliminary computation evapotranspiration by land cover type using TM data and SEBAL. International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003. p. 2956-8.
4. Morse A, Kramber WJ, Allen RG. Mapping evapotranspiration from satellites. Southwest Hydrology. May/June 2005. p. 18-9.
5. Kramber WJ, Morse A, Allen RG. Mapping evapotranspiration: a remote sensing innovation. Photogramm Eng Remote Sens 2010;76:6-10.
6. Evett S.R., Kustas W.P., Gowda P.H., Prueger J.H., Howell T.A. Overview of the Bushland Evapotranspiration and Agricultural Remote sensing EXperiment 2008 (BEAREX08): A field experiment evaluating methods quantifying ET at multiple scales. Adv Water Resour 2012, 50:4-19.
7. McGuire VL, Stanton CP, Fischer BC. Water-level changes, 1980 to 1997, and saturated thickness, 1996-97, in the high plains aquifer (Fact Sheet FS-124-99). US Geological Survey, Washington, DC, 1999. Available on the World Wide Web: http://ne.water.usgs.gov/highplains/hp97_web_report/fs-124-99.htm.
8. McAneney K.J., Brunet Y., Iter B., et al. Downwind evolution of transpiration by two irrigated crops under conditions of local advection. J Hydrol 1994, 161:375-388.
9. Prueger JH, Hipps LE, Cooper DI. Evaporation and the development of the local boundary layer over an irrigated surface in an arid region. Agric Meteorol 1996;78:223-37.
10. Zermeno-Gonzalez A., Hipps L.E. Downwind evolution of surface fluxes over a vegetated surface during local advection of heat and saturation deficit. J Hydrol 1997, 192:189-210.
11. Figuerola PI, Berliner PR. Evapotranspiration under advective conditions. Int J Biometeorol 2005;49:403-16.
12. Kalma JD, McVicar TR, McCabe MF. Estimating land surface evaporation: a review of methods using remotely sensing surface temperature data. Survey Geophys, 2008. DOI 10.1007/s10712-008-9037-z.
13. Hain CR, Mecikalski JR, Anderson MC. Retrieval of an available water-based soil moisture proxy from thermal infrared remote sensing. Part I: Methodology and validation. J Hydrometeorol 2009;10:665-83.
14. Hain C.R., Crow W.T., Mecikalski J.R., Anderson M.C., Holmes T. An intercomparison of available soil moisture estimates from thermal-infrared and passive microwave remote sensing and land-surface modeling. J Geophys Res 2011, 116:D15107.
15. Tang Q, Peterson S, Cuenca RH, Hagimoto Y, Lettenmaier DP. Satellite-based near-real-time estimation of irrigated crop water consumption. J Geophys Res 2009;114:D05144, doi:10.1029/2008JD010854.
16. Tang Q., Rosenberg E.A., Lettenmaier D.P. Use of satellite data to assess the impacts of irrigation withdrawals on Upper Klamath Lake, Oregon. Hydrol Earth Syst Sci 2009, 13:617-627.
17. Bastiaanssen WGM, Menenti M, Feddes RA, Holtslag AAM. A remote sensing surface energy balance algorithm for land (SEBAL); 1. Formulation. J Hydrol 1998;212-213:198-212.
18. Allen RG, Tasumi M, Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - model. J Irrig Drainage Eng DOI 10.1061/(ASCE)0733-9437(2007) 133:4(380) (2007).
19. Norman JM, Kustas WP, Humes KS. A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric Meteorol 1995;77:263-93.
20. Anderson MC, Kustas WP, Norman JM. Upscaling and downscaling - a regional view of the soil-plant-atmosphere continuum. Agron J 2003;95:1408-23.
21. Kustas WP, Norman JM. Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agric Meteorol 1999;94:13-29.
22. Kustas WP, Norman JM. A two-source energy balance approach using directional radiometric temperature observations for sparse canopy covered surfaces. Agronomy J 2000;92:847-54.
23. Anderson MC, Norman JM, Kustas WP, Li F, Prueger JH, Mecikalski JM. Effects of vegetation clumping on two-source model estimates of surface energy fluxes from an agricultural landscape during SMACEX. J Hydrometeorol 2005;6:892-909.
24. Priestley C.H.B., Taylor R.J. On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 1972, 100:81-92.
25. Agam N, Kustas WP, Anderson MC, Norman JM, Colaizzi PD, Prueger JH. A modified two-source Priestley-Taylor approach for partial canopies. J Hydrometeorol 2010;11:185-98.
26. Colaizzi P.D., Kustas W.P., Anderson M.C., Gowda P.H., O'Shaughnessy S.A., Howell T.A., et al. Two-source model estimates of evapotranspiration using component and composite surface temperatures. Adv Water Resour 2012, 50:134-151.
27. Monteith JL. Evaporation and environment. 19th Symposium for the Society for Experimental Biology. Academic Press, Inc. NY; 1965. p. 205-24.
28. Norman JM, Divakarla M, Goel NS. Algorithms for extracting information from remote thermal-IR observations of the earth's surface. Remote Sens Environ 1995;51:157-68.
29. McNaughton KG, Spriggs TW. A mixed-layer model for regional evaporation. Boundary-Layer Meteorol 1986;74:262-88.
30. Kustas WP, Diak GR, Norman JM. Time difference methods for monitoring regional scale heat fluxes with remote sensing. Land Surface Hydrology, Meteorology, and Climate: Observations and Modeling 2001;3:15-29.
31. Anderson MC, Norman JM, Diak GR, Kustas WP, Mecikalski JR. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sens Environ 1997;60:195-216.
32. Norman JM, Anderson MC, Kustas WP, French AN, Mecikalski JR, Torn RD, et al. Remote sensing of surface energy fluxes at 101-m pixel resolutions. Water Resour Res 2003;39. DOI:10.1029/2002WR001775.
33. Anderson MC, Norman JM, Mecikalski JR, Torn RD, Kustas WP, Basara JB. A multi-scale remote sensing model for disaggregating regional fluxes to micrometeorological scales. J Hydrometeor 2004;5:343-63.
34. Cammalleri C, Anderson MC, Ciraolo G, D'Urso G, Kustas WP, La Loggia G, et al. Practical applications of the remote sensing-based two-source algorithm for surface energy fluxes mapping without in-situ air temperature observations Remote Sens Environ, 2012, in press.
35. Anderson MC, Norman JM, Mecikalski JR, Otkin JP, Kustas WP. A climatological study of evapotranspiration and moisture stress across the continental US based on thermal remote sensing: I. Model formulation. J Geophys Res 2007;112:D10117, doi:10.1029/2006JD007506.
36. Gurney RJ, Hsu AY. Relating evaporative fraction to remotely sensed data at the FIFE site. Symposium on FIFE: First ISLSCP Field Experiment, Boston, MA, 1990. p. 112-6.
37. Sugita M., Brutsaert W. Daily evaporation over a region from lower boundary layer profiles measured with radiosondes. Water Resour Res 1991, 27:747-752.
38. Brutsaert W, Sugita M. Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation. J Geophys Res 1992;97:18377-18382.
39. Zhang L, Lemeur R. Evaluation of daily evapotranspiration estimates from instantaneous measurements. Agric Meteorol 1995;74:139-54.
40. Crago R.D. Comparison of the evaporative fraction and the Priestley-Taylor α for parameterizing daytime evaporation. Water Resources Res 1996, 32:1403-1409.
41. Anderson MC, Norman JM, Meyers TP, Diak GR. An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency. Agric Meteorol 2000;101:265-89.
42. Diak GR, Bland WL, Mecikalski JR. A note on first estimates of surface insolation from GOES-8 visible satellite data. Agric Meteorol 1996;82:219-26.
43. Diak GR, Bland WL, Mecikalski JR, Anderson MC. Satellite-based estimates of longwave radiation for agricultural applications. Agric Meteorol 2000;103:349-55.
44. Brutsaert W. Evaporation into the atmosphere: theory, history and applications. D. Reidel, Dordrecht, Holland; 1982.
45. Santanello J.A., Friedl M.A. Diurnal variation in soil heat flux and net radiation. J Appl Meteorol 2003, 42:851-862.
46. Savitzky A, Golay MJE. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 1964;36:1627-39.
47. Allen RG, LS Pereira, D Raes, M Smith. Crop evapotranspiration: guidelines for computing crop water requirements, United Nations FAO, Irrigation and Drainage Paper 56. Rome, Italy, 1998. p. 300.
48. Alfieri J.G., Kustas W.P., Prueger J., Hipps L.E., Evett S.R., Basara J.B., et al. On the discrepancy between eddy covariance and lysimetry-based surface flux measurements under strongly advective conditions. Adv Water Resour 2012, 50:62-78.
49. Twine TE, Kustas WP, Norman JM, Cook DR, Houser PR, Meyers TP, et al. Correcting eddy-covariance flux underestimates over a grassland. Agric Meteorol 2000;103:279-300.
50. Wilson K, Goldstein A, Falge E, Aubinet M, Baldocchi D, Berbigier P, et al. Energy balance closure at FLUXNET sites. Agric Meteorol 2002;113:223-43.
51. Prueger JH, Hatfield JL, Kustas WP, Hipps LE, MacPherson JI, Parkin TB. Tower and aircraft eddy covariance measurements of water vapor, energy and carbon dioxide fluxes during SMACEX. J Hydrometeor 2005;6:954-60.
52. Alfieri J.G., Kustas W.P., Prueger J.H., Hipps L.E., Chavez J.L., French A.N., et al. Intercomparison of nine micrometeorological stations during the BEAREX08 field campaign. J Atmos Oceanic Tech 2011, 28:1390-1406.
53. Otkin JA, Anderson MC, Mecikalski JR, Diak GR. Validation of GOES-based insolation estimates using data from the United States Climate Reference Network. J Hydromet 2005;6:460-75.
54. French AN, Norman JM, Anderson MC. A simple and fast atmospheric correction for spaceborne remote sensing of surface temperature. Remote Sens Environ 2003;87:326-33.
55. Li F, Jackson TJ, Kustas WP, Schmugge TJ, French AN, Cosh M, et al. Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sens Environ 2004;92:521-34.
56. Berk A, Bernstein LS, Anderson GP, Acharya PK, Robertson DC, Chetwynd JH, et al. MODTRAN cloud and multiple scattering upgrades with application toAVIRIS. Remote Sens Environ 1998;65:367-75.
57. Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens Environ 2002;83:214-31.
58. Gao F, Anderson MC, Kustas WP, Wang Y. A simple method for retrieving Leaf Area Index from Landsat using MODIS LAI products as reference. J Appl Remote Sens, 2012, in press.
59. Masek JG, Vermote EF, Saleous NE, Wolfe R, Hall FG, Huemmrich KF, et al. A Landsat surface reflectance dataset for North America, 1990-2000. IEEE Geosci Remote Sens Lett 2006;3:68-72.
60. Houborg R, Anderson MC. Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at regional scales. J Appl Remote Sens. 3, 033529 (2009).
61. Dudhia J. A nonhydrostatic version of the Penn State/NCAR mesoscale model: Validation test and simulation of an Atlantic cyclone and cold front. Mon Weather Rev 1993, 121:1493-1513.
62. Kustas W.P., Alfieri J.G., Anderson M.C., Colaizzi P.D., Prueger J.H., Neale C.M.U., et al. Evaluating the two-source energy balance model using local thermal and surface flux observations in a strongly advective irrigated agricultural area. Adv Water Resour 2012, 50:120-133.
63. Anderson MC, Kustas WP, Norman JM, Hain CR, Mecikalski JR, Schultz L, et al. Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery. Hydrol Earth Syst Sci 2011;15:223-39.
64. Choi M, Kustas WP, Anderson MC, Allen RG, Li F, Kjaersgaard JH. An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, US) during SMACEX. Agric Meteorol 2009;149:2082-97.
65. Gao F, Masek J, Schwaller M, Hall FG. On the blending of the Landsat and MODIS surface reflectance. predicting daily Landsat surface reflectance. IEE Trans Geosci Remote Sens 2006;44:2207-18.
66. Nash LE, Sutcliffe JV. River flow forecasting through conceptual models - Part 1: a discussion of principles. J Hydrol 1970;10:282-90.