Estimation of actual evapotranspiration along the Middle Rio Grande of New Mexico using MODIS and landsat imagery with the METRIC model

Remote Sensing

Volumn 5, Issue 10, 2013, Pages 5397-5423

  Trezza, Ricardo ^a   Allen, Richard G ^a   Tasumi, Masahiro ^b  

^a UNIVERSITY OF IDAHO   (United States)

^b UNIVERSITY OF MIYAZAKI   (Japan)

Author keywords

Evapotranspiration; Metric; Middle rio grande; Modis; Remote sensing

Indexed keywords

ACTUAL EVAPOTRANSPIRATION; CALIBRATION PROCEDURE; ESTIMATION FUNCTION; HIGH SPATIAL RESOLUTION; METRIC; MIDDLE RIO GRANDE; MODIS; SURFACE ENERGY BALANCE MODELING;

CALIBRATION; ENERGY BALANCE; ESTIMATION; EVAPOTRANSPIRATION; HEAT FLUX; RADIOMETERS; REMOTE SENSING; WATER SUPPLY;

SATELLITE IMAGERY;

EID: 84887560558     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5105397     Document Type: Article

References (37)

1. Kustas, W.P.; Norman, J.M. Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrol. Sci. J. 1996, 41, 495-515.
2. Bastiaanssen, W.G.M. Remote Sensing in Water Resources Management: The State of the Art; IWMI: Sri Lanka, 1998.
3. Courault, D.; Seguin, B.; Olioso. A. Review on estimation of evapotranspiration from remote sensing data: from empirical to numerical approaches. Irrig. Drain. Syst. 2005, 19, 223-249.
4. Kalma, J.D.; McVicar, T.R.; McCabe, M.F. Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data. Surv. Geophys. 2008, 29, 421-469.
5. Anderson, M.; Allen, R.G.; Morse, A.; Kustas, W.P. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ. 2012, 122, 50-65.
6. Crow, W.T.; Kustas, W.P.; Prueger, J.H. Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model. Remote Sens. Environ. 2008, 112, 1268-1281
7. Nagler, P.; Glenn, E.; Nguyen, U.; Scott, R.; Doody, T. Estimating riparian and agricultural actual evapotranspiration by reference evapotranspiration and MODIS enhanced vegetation index. Remote Sens. 2013, 5, 3849-3871.
8. Tang, R.; Zhao-Liang, L.; Tang, B. An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions. Remote Sens. Environ. 2010, 114,540-551.
9. Yang, Y.; Shang, S.; Jiang, L. Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China. Agric. For. Meteorol. 2012, 164, 112-122.
10. Bastiaanssen, W.G.M.; Menenti, M.; Feddes, R.A.; Holtslag, A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. J. Hydrol.1998, 212-213,198-212.
11. Bastiaanssen, W.G.M.; Pelgrum, H.; Wang, J.; Ma, Y.; Moreno, J.; Roerink G.J.; van der Wal, T. The Surface Energy Balance Algorithm for Land (SEBAL): Part 2 validation. J. Hydrol. 1998, 212-213, 213-229
12. Bastiaanssen, W.G.M. Regionalization of Surface Flux Densities and Moisture Indicators in Composite Terrain: A Remote Sensing Approach under Clear Skies in Mediterranean Climates. Ph.D. Thesis, Wageningen Agricultural University, Wageningen, The Netherlands, 1995; p. 273.
13. Ruhoff, A.; Paz, A.; Collischonn, W.; Aragao, L.; Rocha, H.; Malhi, Y. A MODIS-based energy balance to estimate evapotranspiration for clear-sky days in Brazilian tropical savannas. Remote Sens. 2012, 4, 703-725.
14. Jia, L.; Xi, G.; Liu, S.; Huang, C.; Yan, Y.; Liu, G. Regional estimation of daily to annual regional evapotranspiration with MODIS in the Yellow River delta wetland. Hydrol. Earth Syst. Sci. 2009, 13, 1775-1787.
15. Mu, Q.; Zhao, S.; Running, S. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ. 2011, 155, 1781-1800.
16. Allen, R.G.; Tasumi, M.; Trezza, R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model. ASCE J. Irrig. Drain. Eng. 2007, 33, 380-394.
17. Allen, R.G.; Tasumi, M.; Morse, A.; Trezza, R.; Kramber, W.; Lorite I.; Robison, C.W. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Applications. ASCE J. Irrig. Drain. Eng. 2007, 133, 395-406.
18. Allen, R.G.; Tasumi, M.; Morse, A.; Trezza, R. A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning. J. Irrig. Drain. Syst. 2005, 19, 251-268.
19. Tasumi, M.; Trezza, R.; Allen, R.G.; Wright, J.L. Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S. J. Irrig. Drain. Syst. 2005, 19, 355-376.
20. Tasumi, M.; Allen, R.G.; Trezza, R.; Wright, J.L. Satellite-based energy balance to assess within-population variance of crop coefficient curves. ASCE J. Irrig. Drain. Eng. 2005, 131, 94-109.
21. Allen, R.G.; Tasumi, M.; Trezza, R. Benefits from Tying Satellite-Based Energy Balance to Reference Evapotranspiration. In Earth Observation for Vegetation Monitoring and Water Management: Naples, Italy, 10-11 November 2005; D'Urso, G., Jochum, A., Moreno, J., Eds.; American Institute of Physics: College Park, MD, USA, 2005; pp. 127-137.
22. Tasumi, M.; Trezza, R.; Allen, R.G. METRIC Manual for MODIS Image Processing Version 1.0 (April, 2006); University of Idaho R&E Center: Kimberly, IA, USA, 2006; p. 67.
23. Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements; Irrigation and Drainage Paper 56; United Nations FAO: Rome, Italy, 1998; p. 300.
24. ASCE-EWRI. The ASCE Standardized Reference Evapotranspiration Equation; ASCE-EWRI Standardization of Reference Evapotranspiration Task Committee Report; ASCE: Reston, VA, USA, 2005; p. 216.
25. Tasumi, M.; Allen, R.; Trezza, R. At-surface albedo from Landsat and MODIS satellites for use in energy balance studies of evapotranspiration. J. Hydrol. Eng. 2008, 13, 51-63.
26. Starks, P.J.; Norman, J.M.; Blad, B.L.; Walter-Shea, E.A.; Walthall, C.L. Estimation of shortwave hemispherical reflectance (albedo) from bidirectionally reflected radiance data. Remote Sens. Environ. 1991, 38, 123-134.
27. MODIS UCSB Emissivity Library. 2012. Available online: http://www.icess.ucsb.edu/modis/ EMIS/html/em.html (accessed on 15 March 2012).
28. Myneni, R.; Knyazikhin, Y; Zhang, Y.; Tian, Y.; Wang, Y.; Privette, J.; Morisette, J.; Running, S.; Nemani, R. MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorved by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical Basis Document; Version 4.0; 1999. Available online: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod15.pdf (accessed on 1 April 2008).
29. Allen, R.G; Burnett, B.; Kramber, W.; Huntington, J.; Kjasersgaard, J.; Kilic, A.; Kelly, C.; Trezza, R. Automated calibration of the METRIC-Landsat evapotranspiration process. J. Am. Water Resour. Assoc. 2013, 49, 563-576.
30. Allen, R.G. Skin layer evaporation to account for small precipitation events-An enhancement to the FAO-56 evaporation model. Agric. Water Manage. 2011, 99, 8-18.
31. NASA Earth Observing System Data and Information System (EOSDIS); 2012. http://reverb.echo.nasa.gov/reverb (accessed on 15 January 2013).
32. Hong, S.-H.; Hendrickx, J.M.H.; Borchers, B. Effect of scaling transfer between evapotranspiration maps derived from LandSat 7 and MODIS images. Proc. SPIE 2005, 5811, 147-158.
33. Compaoré, H.; Hendrickx, J.M.H.; Hong, S.-H.; Friesen, J.; van de Giesen, N.C.; Rodgers, C.; Szarzynski, J.; Vlek, P.L.G. Evaporation mapping at two scales using optical imagery in the White Volta Basin, Upper East Ghana. Phys. Chem. Earth, Parts A/B/C 2008, 33, 127-140.
34. US Bureau of Reclamation. ET Toolbox, Evapotranspiration Toolbox for the Middle Rio Grande. A Water Resources Decision Tool; 2008. Available online: http://www.usbr.gov/pmts/rivers/ awards/ettoolbox.pdf (accessed on 15 January 2013).
35. Allen, R.G.; Tasumi, M.; Robison, C.; Trezza, R.; Garcia, M. Exploration of ET Coefficients Derived Using MODIS Satellite-Based METRIC ETrF vs. Awards/ET-Toolbox Based ET Coefficients within the Middle Rio Grande Valley; University of Idaho Report; University of Idaho: Kimberly, IA, USA, 2008; p. 37.
36. Hendrickx, J.; Allen, R.; Brower, A.; Byrd, A.; Hong, S.; Ogden, F.; Pradhan, N.; Robison, C.; Toll, D.; Trezza, R.; Umstot, T. Wilson, J. Benchmarking optical/thermal satellite imagery for estimation of evapotranspiration and soil moisture in decision support tools. J. Am. Water Resour. Assoc. 2013, submitted.
37. Kamble, B.; Kilic, A.; Hubbard, K. Estimating crop coefficients using remote sensing-based vegetation index. Remote Sens. 2013, 5, 1588-1602.